IDEAS home Printed from https://ideas.repec.org/e/c/pni42.html

Morten Ørregaard Nielsen
(Morten Oerregaard Nielsen)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Torben G. Andersen & Tim Bollerslev & Per Frederiksen & Morten Ørregaard Nielsen, 2010. "Continuous-time models, realized volatilities, and testable distributional implications for daily stock returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(2), pages 233-261.

    Mentioned in:

    1. Continuous-time models, realized volatilities, and testable distributional implications for daily stock returns (Journal of Applied Econometrics 2010) in ReplicationWiki ()

Working papers

  1. Morten {O}rregaard Nielsen & Won-Ki Seo & Dakyung Seong, 2023. "Inference on common trends in functional time series," Papers 2312.00590, arXiv.org, revised Oct 2025.

    Cited by:

    1. Kyungsik Nam & Won-Ki Seo, 2025. "Functional Regression with Nonstationarity and Error Contamination: Application to the Economic Impact of Climate Change," Papers 2509.08591, arXiv.org, revised Oct 2025.

  2. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2023. "Testing for the appropriate level of clustering in linear regression models," Papers 2301.04522, arXiv.org, revised Mar 2023.

    Cited by:

    1. Chaeho Chase Lee & Erdal Atukeren & Hohyun Kim, 2024. "Knowledge Capital and Stock Returns during Crises in the Manufacturing Sector: Moderating Role of Market Share, Tobin’s Q, and Cash Holdings," Risks, MDPI, vol. 12(6), pages 1-23, June.
    2. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Papers 2205.03285, arXiv.org.
    3. Paul Hufe, 2024. "The Parental Wage Gap and the Development of Socio-emotional Skills in Children," Working Papers 2024-010, Human Capital and Economic Opportunity Working Group.
    4. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust," Working Paper 1483, Economics Department, Queen's University.
    5. Robert Santa & Mladen Bošnjaković & Monika Rajcsanyi-Molnar & Istvan Andras, 2025. "Energy Systems in Transition: A Regional Analysis of Eastern Europe’s Energy Challenges," Clean Technol., MDPI, vol. 7(4), pages 1-40, October.
    6. Yong Cai, 2021. "Panel Data with Unknown Clusters," Papers 2106.05503, arXiv.org, revised Jan 2022.
    7. Huang, Chen & Jia, Ning, 2025. "Do policies reshape attitudes? Evidence from maternity leave expansion in China," China Economic Review, Elsevier, vol. 93(C).

  3. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2023. "Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference," Papers 2301.04527, arXiv.org, revised Feb 2023.

    Cited by:

    1. Daniel Auer & Michaela Slotwinski & Achim Ahrens & Dominik Hangartner & Selina Kurer & Stefanie Kurt & Alois Stutzer, 2024. "Social Assistance and Refugee Crime," CESifo Working Paper Series 11051, CESifo.
    2. Abdulmohsen Almuhaisen, 2024. "Refugee influx and school enrollment among native youths in Jordan," Journal of Population Economics, Springer;European Society for Population Economics, vol. 37(1), pages 1-28, March.
    3. Ha, Sangeun & Ma, Fangyuan & Žaldokas, Alminas, 2024. "Motivating collusion," Journal of Financial Economics, Elsevier, vol. 154(C).
    4. Rik Chakraborti & Gavin Roberts, 2023. "How price-gouging regulation undermined COVID-19 mitigation: county-level evidence of unintended consequences," Public Choice, Springer, vol. 196(1), pages 51-83, July.
    5. Richard K. Crump & Nikolay Gospodinov & Ignacio Lopez Gaffney, 2024. "A Jackknife Variance Estimator for Panel Regressions," Staff Reports 1133, Federal Reserve Bank of New York.
    6. Clarke, Dylan R. & Gold, Daniel E., 2024. "The effects of residential landlord–tenant laws: New evidence from Canadian reforms using census data," Journal of Urban Economics, Elsevier, vol. 140(C).
    7. Bruce E. Hansen, 2025. "Standard Errors for Difference‐in‐Difference Regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(3), pages 291-309, April.
    8. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Papers 2205.03285, arXiv.org.
    9. Hong, Justin Jihao & Lyu, Yuhan, 2025. "Not always a Panacea: History education and identity-building in Taiwan," Journal of Economic Behavior & Organization, Elsevier, vol. 229(C).
    10. Kranz, Sebastian, 2024. "From Replications to Revelations: Heteroskedasticity-Robust Inference," MPRA Paper 122724, University Library of Munich, Germany.
    11. Anna Mikusheva & Mikkel S{o}lvsten & Baiyun Jing, 2025. "Estimation in linear models with clustered data," Papers 2508.12860, arXiv.org.
    12. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Testing for the appropriate level of clustering in linear regression models," Journal of Econometrics, Elsevier, vol. 235(2), pages 2027-2056.
    13. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust," Papers 2205.03288, arXiv.org, revised Nov 2023.

  4. Morten Ørregaard Nielsen & Wonk-ki Seo & Dakyung Seong, 2022. "Inference on the dimension of the nonstationary subspace in functional time series," CREATES Research Papers 2022-04, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Won-Ki Seo, 2020. "Functional Principal Component Analysis for Cointegrated Functional Time Series," Papers 2011.12781, arXiv.org, revised Apr 2023.
    2. Morten {O}rregaard Nielsen & Won-Ki Seo & Dakyung Seong, 2023. "Inference on common trends in functional time series," Papers 2312.00590, arXiv.org, revised Oct 2025.
    3. Kyungsik Nam & Won-Ki Seo, 2025. "Functional Regression with Nonstationarity and Error Contamination: Application to the Economic Impact of Climate Change," Papers 2509.08591, arXiv.org, revised Oct 2025.
    4. Won‐Ki Seo, 2024. "Functional principal component analysis for cointegrated functional time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 45(2), pages 320-330, March.
    5. Massimo Franchi & Iliyan Georgiev & Paolo Paruolo, 2024. "Canonical correlation analysis of stochastic trends via functional approximation," Papers 2411.19572, arXiv.org, revised Sep 2025.

  5. Giuseppe Cavaliere & S'ilvia Gonc{c}alves & Morten {O}rregaard Nielsen & Edoardo Zanelli, 2022. "Bootstrap inference in the presence of bias," Papers 2208.02028, arXiv.org, revised Nov 2023.

    Cited by:

    1. Higgins, Ayden & Jochmans, Koen, 2025. "Inference in Dynamic Models for Panel Data Using The Moving Block Bootstrap," TSE Working Papers 25-1620, Toulouse School of Economics (TSE).
    2. Gonçalves, Sílvia & Herrera, Ana María & Kilian, Lutz & Pesavento, Elena, 2024. "State-dependent local projections," Journal of Econometrics, Elsevier, vol. 244(2).
    3. Meltem Altin & Mawih Kareem Al Ani & Habiba Al-Shaer & Mustafa Ozgun Atalay, 2025. "Exploring the nexus between environmental initiatives and audit fees: the moderating role of supplier ESG and environmental management training," SN Business & Economics, Springer, vol. 5(10), pages 1-35, October.
    4. Pigini, Claudia & Pionati, Alessandro & Valentini, Francesco, 2023. "Specification testing with grouped fixed effects," MPRA Paper 117821, University Library of Munich, Germany.
    5. De Vos, Ignace & Stauskas, Ovidijus, 2024. "Cross-section bootstrap for CCE regressions," Journal of Econometrics, Elsevier, vol. 240(1).

  6. Javier Hualde & Morten Ørregaard Nielsen, 2022. "Truncated sum-of-squares estimation of fractional time series models with generalized power law trend," CREATES Research Papers 2022-07, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    2. Mustafa R. K{i}l{i}nc{c} & Michael Massmann, 2024. "The modified conditional sum-of-squares estimator for fractionally integrated models," Papers 2404.12882, arXiv.org, revised Feb 2025.
    3. Ergemen, Yunus Emre, 2023. "Parametric estimation of long memory in factor models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1483-1499.

  7. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust," Papers 2205.03288, arXiv.org, revised Nov 2023.

    Cited by:

    1. Daniel Auer & Michaela Slotwinski & Achim Ahrens & Dominik Hangartner & Selina Kurer & Stefanie Kurt & Alois Stutzer, 2024. "Social Assistance and Refugee Crime," CESifo Working Paper Series 11051, CESifo.
    2. Richard K. Crump & Nikolay Gospodinov & Ignacio Lopez Gaffney, 2024. "A Jackknife Variance Estimator for Panel Regressions," Staff Reports 1133, Federal Reserve Bank of New York.
    3. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference," Working Paper 1485, Economics Department, Queen's University.
    4. Wang, Wenjie & Zhang, Yichong, 2024. "Wild bootstrap inference for instrumental variables regressions with weak and few clusters," Journal of Econometrics, Elsevier, vol. 241(1).
    5. Bruce E. Hansen, 2025. "Standard Errors for Difference‐in‐Difference Regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(3), pages 291-309, April.
    6. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Papers 2205.03285, arXiv.org.
    7. Johannes W. Ligtenberg, 2023. "Inference in clustered IV models with many and weak instruments," Papers 2306.08559, arXiv.org, revised Oct 2025.
    8. Kranz, Sebastian, 2024. "From Replications to Revelations: Heteroskedasticity-Robust Inference," MPRA Paper 122724, University Library of Munich, Germany.
    9. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Testing for the appropriate level of clustering in linear regression models," Journal of Econometrics, Elsevier, vol. 235(2), pages 2027-2056.
    10. Pettersson-Lidbom, Per, 2022. "Exit, Voice and Political Change: Evidence from Swedish Mass Migration to the United States. A Comment on Karadja and Prawitz (Journal of Political Economy, 2019)," Journal of Comments and Replications in Economics (JCRE), ZBW - Leibniz Information Centre for Economics, vol. 1, pages 1-13.
    11. MacKinnon, James G., 2023. "Using large samples in econometrics," Journal of Econometrics, Elsevier, vol. 235(2), pages 922-926.

  8. James MacKinnon & Morten Ørregaard Nielsen, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," CREATES Research Papers 2022-08, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Ryo MAKIOKA & Hongyong ZHANG, 2023. "The Impact of Export Controls on International Trade: Evidence from the Japan–Korea trade dispute in the semiconductor industry," Discussion papers 23017, Research Institute of Economy, Trade and Industry (RIETI).
    2. Wang, Cheng & Han, Jing, 2023. "Prospect theory and mutual fund flows: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    3. Kampanelis, Sotiris & Chronopoulos, Dimitris & Wilson, John O.S., 2024. "Finance and intergenerational mobility: Evidence from US banking reforms," Journal of Economic Behavior & Organization, Elsevier, vol. 226(C).
    4. Wei, Yao & Anselmi, Laura & Munford, Luke & Sutton, Matt, 2023. "The impact of devolution on experienced health and well-being," Social Science & Medicine, Elsevier, vol. 333(C).
    5. Do, Truc (Peter) & Tan, Kelvin Jui Keng & Wu, Yanhui, 2025. "Health and creativity: Evidence from corporate innovation," Research Policy, Elsevier, vol. 54(9).
    6. Yuheng Lin & Dooruj Rambaccussing & Yu Zhu, 2024. "The impact of international students in the UK on the cultural goods trade," French Stata Users' Group Meetings 2024 29, Stata Users Group.
    7. Li Zhou & Bei Liu & Zongzhi Liu & Jinhua Zhao, 2025. "Farmers as prosumers: Evidence from cadmium‐contaminated rice in China," American Journal of Agricultural Economics, John Wiley & Sons, vol. 107(2), pages 635-654, March.
    8. Doko Tchatoka, Firmin & Wang, Wenjie, 2021. "Size-corrected Bootstrap Test after Pretesting for Exogeneity with Heteroskedastic or Clustered Data," MPRA Paper 110899, University Library of Munich, Germany.
    9. Laura Ketter & Todd Morris & Lizi Yu, 2025. "A new equilibrium: COVID-19 lockdowns and WFH persistence," Papers 2506.16671, arXiv.org.
    10. Johannes W. Ligtenberg & Tiemen Woutersen, 2024. "Multidimensional clustering in judge designs," Papers 2406.09473, arXiv.org.
    11. Thomas Bolli & Guillaume Morlet, 2023. "Does human capital theory govern the relationship between training provision and the business cycle? Evidence from Switzerland," French Stata Users' Group Meetings 2023 26, Stata Users Group.
    12. Zeeshan Ahmed & Huan Qiu & Yiwei Zhao, 2024. "The Joint Forces of How to Live: Does Intellectual Capital Matter between Innovation and Financial Vulnerability?," JRFM, MDPI, vol. 17(2), pages 1-22, January.
    13. Todd Morris & Benoit Dostie, 2023. "Graying and staying on the job: The welfare implications of employment protection for older workers," CIRANO Working Papers 2023s-20, CIRANO.
    14. Shahjahan, Md & La Mattina, Giulia & Ayyagari, Padmaja, 2022. "The Impact of Maternal Education on Child Immunization: Evidence from Bangladesh," IZA Discussion Papers 15553, Institute of Labor Economics (IZA).
    15. Honjo, Yuji & Ono, Arito & Tsuruta, Daisuke, 2024. "The effect of physical collateral and personal guarantees on business startups," Journal of Economics and Business, Elsevier, vol. 130(C).
    16. Yang, Dianyi, 2024. "Bail out the money printer? The impact of fiscal indemnity on central bank profitability," SocArXiv wz75m, Center for Open Science.
    17. Valentin Cocco & Raja Chakir & Lauriane Mouysset, 2025. "Guilty or scapegoat? Land consolidation and the hedgerow decline [Coupable ou bouc émissaire ? Le remembrement et le déclin des haies]," Post-Print hal-04658788, HAL.
    18. Doko Tchatoka, Firmin & Wang, Wenjie, 2025. "Identification-Robust Two-Stage Bootstrap Tests with Pretesting for Exogeneity," MPRA Paper 125017, University Library of Munich, Germany.
    19. Rik Chakraborti & Gavin Roberts, 2023. "How price-gouging regulation undermined COVID-19 mitigation: county-level evidence of unintended consequences," Public Choice, Springer, vol. 196(1), pages 51-83, July.
    20. Ha, Sangeun & Ma, Fangyuan & Žaldokas, Alminas, 2024. "Motivating collusion," Journal of Financial Economics, Elsevier, vol. 154(C).
    21. Elizabeth Brainerd & Olga Malkova, 2023. "Maternity benefits and marital stability after birth: evidence from the Soviet Baltic republics," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(4), pages 2309-2345, October.
    22. Anastasia Litina & Luca J. Uberti & Skerdilajda Zanaj, 2023. "Women Directors and Cost Efficiency," DEM Discussion Paper Series 23-18, Department of Economics at the University of Luxembourg.
    23. Doko Tchatoka, Firmin & Wang, Wenjie, 2024. "Weak-Identification-Robust Bootstrap Tests after Pretesting for Exogeneity," MPRA Paper 123060, University Library of Munich, Germany.
    24. Jonathan Acosta-Smith & Jozef Barunik & Eddie Gerba & Petros Katsoulis, 2024. "Moderation or indulgence? Effects of bank distribution restrictions during stress," Bank of England working papers 1053, Bank of England.
    25. Dupuy, Jules & Barnay, Thomas & Defebvre, Eric, 2024. "Clear as a bell? Policy stringency and elderly health during Covid-19," Social Science & Medicine, Elsevier, vol. 349(C).
    26. Kyung-A Sun & Seoki Lee, 2024. "How do strategic pricing approaches influence franchise fee decisions?," Tourism Economics, , vol. 30(6), pages 1508-1530, September.
    27. Guillaume M. A. Morlet & Thomas Bolli, 2024. "Working from home is here to stay, but how does it affect workplace learning?," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 160(1), pages 1-19, December.
    28. Marcus, Michelle, 2025. "Testing above the limit: Drinking water contamination and test scores," Journal of Public Economics, Elsevier, vol. 243(C).
    29. Richard K. Crump & Nikolay Gospodinov & Ignacio Lopez Gaffney, 2024. "A Jackknife Variance Estimator for Panel Regressions," Staff Reports 1133, Federal Reserve Bank of New York.
    30. Yuya Sasaki & Yulong Wang, 2022. "Non-Robustness of the Cluster-Robust Inference: with a Proposal of a New Robust Method," Papers 2210.16991, arXiv.org, revised Jan 2025.
    31. Tom Boot & Gianmaria Niccodemi & Tom Wansbeek, 2023. "Unbiased estimation of the OLS covariance matrix when the errors are clustered," Empirical Economics, Springer, vol. 64(6), pages 2511-2533, June.
    32. Wang, Wenjie & Zhang, Yichong, 2024. "Wild bootstrap inference for instrumental variables regressions with weak and few clusters," Journal of Econometrics, Elsevier, vol. 241(1).
    33. Alejandro Sanchez-Becerra, 2023. "Robust inference for the treatment effect variance in experiments using machine learning," Papers 2306.03363, arXiv.org.
    34. Bruce E. Hansen, 2025. "Standard Errors for Difference‐in‐Difference Regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(3), pages 291-309, April.
    35. Sander Lammers & Massimo Giuliodori & Robert Schmitz & Adam Elbourne, 2023. "Bank Funding, SME lending and Risk Taking," CPB Discussion Paper 447, CPB Netherlands Bureau for Economic Policy Analysis.
    36. Shr, Yau-Huo (Jimmy) & Yang, Feng-An & Chen, Yi-Syun, 2023. "The housing market impacts of bicycle-sharing systems," Regional Science and Urban Economics, Elsevier, vol. 98(C).
    37. Wooldridge, Jeffrey M., 2023. "What is a standard error? (And how should we compute it?)," Journal of Econometrics, Elsevier, vol. 237(2).
    38. Nie, Song & Liu, Junxian & Zeng, Gang & You, Jiyuan, 2023. "Local government debt pressure and corporate ESG performance: Empirical evidence from China," Finance Research Letters, Elsevier, vol. 58(PB).
    39. Gallo, Giovanni & Ubaldi, Michele, 2025. "Sweets for my sweet: The impact of partner unemployment on individual physical health," GLO Discussion Paper Series 1638, Global Labor Organization (GLO).
    40. Ketter, Laura & Morris, Todd & Yu, Lizi, 2025. "A New Equilibrium: COVID-19 Lockdowns and WFH Persistence," IZA Discussion Papers 17975, Institute of Labor Economics (IZA).
    41. Belmonte, Alessandro & Ticchi, Davide & Ubaldi, Michele, 2025. "Re-exhuming the old hatchet: The effects of affirmative action policies on political preferences in post-apartheid South Africa," GLO Discussion Paper Series 1626, Global Labor Organization (GLO).
    42. Huang, Chongle & Hao, Simin & Ma, Limei, 2025. "The impact of ESG advantages on the economic development of neighboring regions," Energy Economics, Elsevier, vol. 145(C).
    43. Cygan-Rehm, Kamila, 2024. "Lifetime Consequences of Lost Instructional Time in the Classroom: Evidence from Shortened School Years," IZA Discussion Papers 17253, Institute of Labor Economics (IZA).
    44. Yu Zheng & Honggang Fan, 2025. "Fast Cluster Bootstrap Methods for Spatial Error Models," Mathematics, MDPI, vol. 13(18), pages 1-16, September.
    45. Hoang, Thon T.C. & Nguyen, Dung T.K., 2023. "Women’s representation in parliament and tax mobilization," MPRA Paper 118367, University Library of Munich, Germany, revised 24 Aug 2023.
    46. José Eduardo Castro Pérez & Daniel Flores, 2025. "Behavioral Responses to Environmental Emergency Alerts and Temporary Driving Restrictions: Evidence from Cyclists in Mexico City," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 88(6), pages 1719-1771, June.
    47. Wang, Qinyun & Wang, Xuebin & Yan, Qianhui & Zhang, Lvqing, 2024. "Heavy industry regulations, hospitalization, and medical expenditures: Evidence from micro-level medical records in a northeast Chinese city," Energy Economics, Elsevier, vol. 129(C).
    48. Xin Fan & Shan Jin & Zeyu Chen, 2023. "Who Benefits from Domestic Market Integration?," Journal of Happiness Studies, Springer, vol. 24(6), pages 2083-2109, August.
    49. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Fast and reliable jackknife and bootstrap methods for cluster‐robust inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 671-694, August.
    50. Colin Cameron, 2022. "Recent developments in cluster–robust inference," Economics Virtual Symposium 2022 07, Stata Users Group.
    51. Johannes W. Ligtenberg, 2023. "Inference in clustered IV models with many and weak instruments," Papers 2306.08559, arXiv.org, revised Oct 2025.
    52. Fabienne Helfer & Volker Grossmann & Aderonke Osikominu, 2023. "How does immigration affect housing costs in Switzerland?," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-31, December.
    53. Fien van Solinge & Beau Soederhuizen, 2023. "European Insolvency Law and Firm Leverage," CPB Discussion Paper 448, CPB Netherlands Bureau for Economic Policy Analysis.
    54. Peiró-Palomino, Jesús & Gianmoena, Lisa & Picazo-Tadeo, Andrés J. & Rios, Vicente, 2025. "Is social capital a driver of the green transition in the European Union?," Ecological Economics, Elsevier, vol. 230(C).
    55. Laura Grigolon & Laura Lasio, 2023. "Biased Beliefs and Stigma as Barriers to Treatment and Innovation Adoption," CRC TR 224 Discussion Paper Series crctr224_2023_277v2, University of Bonn and University of Mannheim, Germany.
    56. Samuel Lordemus & Noemi Kreif & Rodrigo Moreno‐Serra, 2024. "Public Healthcare Financing during Counterinsurgency Efforts: Evidence from Colombia," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(5), pages 1230-1259, October.
    57. Allayannis, George & Brown, Gregory W. & Klapper, Leora F., 2025. "Legal effectiveness and external capital: The role of foreign debt," Journal of Economics and Business, Elsevier, vol. 134.
    58. Roth, Jonathan & Sant’Anna, Pedro H.C. & Bilinski, Alyssa & Poe, John, 2023. "What’s trending in difference-in-differences? A synthesis of the recent econometrics literature," Journal of Econometrics, Elsevier, vol. 235(2), pages 2218-2244.
    59. Christopher Blattman & Gustavo Duncan & Benjamin Lessing & Santiago Tobón, 2021. "Gang rule: Understanding and Countering Criminal Governance," NBER Working Papers 28458, National Bureau of Economic Research, Inc.
    60. Hagemann, Andreas, 2025. "Inference on quantile processes with a finite number of clusters," Journal of Econometrics, Elsevier, vol. 249(PA).
    61. Christopher F Baum & Andrés Garcia-Suaza & Miguel Henry & Jesús Otero, 2024. "Drivers of COVID-19 in U.S. counties: A wave-level analysis," Boston College Working Papers in Economics 1067, Boston College Department of Economics, revised 01 Jun 2025.
    62. Neha Deopa & Daniele Rinaldo, 2023. "Sacred Ecology," Papers 2401.13673, arXiv.org, revised Dec 2025.
    63. Goussé, Marion & Leturcq, Marion, 2022. "More or less unmarried. The impact of legal settings of cohabitation on labour market outcomes," European Economic Review, Elsevier, vol. 149(C).
    64. Deepankar Basu, 2023. "The Yule-Frisch-Waugh-Lovell Theorem for Linear Instrumental Variables Estimation," Papers 2307.12731, arXiv.org, revised Aug 2023.
    65. Gäbler, Stefanie & Kellermann, Kim Leonie, 2025. "Administrative areas and regional identity formation: The case of East Germany," Regional Science and Urban Economics, Elsevier, vol. 111(C).
    66. Fuchs, Andreas & Kaplan, Lennart & Kis-Katos, Krisztina & Leue, Sebastian & Turbanisch, Felix & Wang, Feicheng, 2025. "Mask wars: Sourcing a critical medical product from China in times of COVID-19," Open Access Publications from Kiel Institute for the World Economy 318268, Kiel Institute for the World Economy (IfW Kiel).
    67. Lahiri, Kajal & Yin, Yimeng, 2024. "Seasonality in U.S. disability applications, labor market, and the pandemic echoes," Labour Economics, Elsevier, vol. 87(C).
    68. Basu, Deepankar, 2024. "Frisch–Waugh–Lovell theorem-type results for the k-Class and 2SGMM estimators," Statistics & Probability Letters, Elsevier, vol. 213(C).
    69. Makate, Clifton & Angelsen, Arild & Mulesa, Teshome Hunduma & Westengen, Ola Tveitereid, 2025. "The dynamics of crop diversity and seed use in the context of recurrent climate shocks and poverty: Seasonal panel data evidence from rural Uganda," World Development Perspectives, Elsevier, vol. 39(C).
    70. Arjan Trinks & Erik Hille, 2023. "Carbon costs and industrial firm performance: Evidence from international microdata," CPB Discussion Paper 445, CPB Netherlands Bureau for Economic Policy Analysis.
    71. Ma, Teng, 2024. "Adoption of abatement technology in an uncertain world: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 51-87.
    72. Popescu, Ioana-Stefania & Gibon, Thomas & Hitaj, Claudia & Rubin, Mirco & Benetto, Enrico, 2023. "Are SRI funds financing carbon emissions? An input-output life cycle assessment of investment funds," Ecological Economics, Elsevier, vol. 212(C).
    73. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Testing for the appropriate level of clustering in linear regression models," Journal of Econometrics, Elsevier, vol. 235(2), pages 2027-2056.
    74. Bastien Buchwalter & Francis X. Diebold & Kamil Yilmaz, 2025. "Clustered Network Connectedness:A New Measurement Frameworkwith Application to Global Equity Markets," PIER Working Paper Archive 25-009, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    75. Clark, Robert & Fabiilli, Christopher & Lasio, Laura, 2022. "Collusion in the US generic drug industry," International Journal of Industrial Organization, Elsevier, vol. 85(C).
    76. Marcus Rösch & Michiel Gerritse & Bas Karreman & Frank van Oort & Bart Loog, 2022. "Do firms or workers drive the foreign acquisition wage premium?," Tinbergen Institute Discussion Papers 22-014/V, Tinbergen Institute.
    77. Wenjie Wang & Yichong Zhang, 2021. "Wild Bootstrap for Instrumental Variables Regressions with Weak and Few Clusters," Papers 2108.13707, arXiv.org, revised Jan 2024.
    78. Scott Barkowski & Dajung Jun & Yuting Zhang, 2025. "Spillover effects of Medicaid expansion on Medicare: Evidence from administrative data," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 44(2), pages 579-611, March.
    79. Makioka, Ryo & Zhang, Hongyong, 2024. "The impact of export controls on international trade: Evidence from the Japan–Korea trade dispute in semiconductor industry," Journal of the Japanese and International Economies, Elsevier, vol. 74(C).
    80. Pedro Pita Barros, 2022. "Quality decreases from introducing patient choice in a National Health Service," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 21(3), pages 351-381, September.
    81. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust," Papers 2205.03288, arXiv.org, revised Nov 2023.
    82. Shi, Tie & Chen, Hanyi & Xu, Junbing & Wang, Xuebin, 2025. "The effect of temperatures on household electricity consumption in northern China: Evidence from smart meters," Utilities Policy, Elsevier, vol. 96(C).
    83. Marlon R. Tracey & Chanita C. Holmes & Marvin G. Powell, 2024. "Parental limit-setting decisions and adolescent subject grades," Review of Economics of the Household, Springer, vol. 22(1), pages 143-171, March.
    84. Mariana, Christy Dwita & Raz, Arisyi F., 2025. "Central banks’ financial stability orientation and bank risk-taking," Journal of Financial Stability, Elsevier, vol. 78(C).
    85. Rigaux, Baptiste & Hamels, Sam & Ovaere, Marten, 2025. "The proof of the pudding is in the heating: A field experiment on household engagement with heat pump flexibility," Energy Economics, Elsevier, vol. 148(C).
    86. Zuzana Irsova & Pedro R. D. Bom & Tomas Havranek & Heiko Rachinger, 2025. "Spurious precision in meta-analysis of observational research," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
    87. Jean-Baptiste Bonnier, 2024. "A Split-Treatment Design," Working Papers 2024-11, CRESE.
    88. Alessandro Belmonte & Davide Ticchi & Michele Ubaldi, 2025. "Affirmative Actions, Economic Insecurity, and Ethnic Conflicts: Evidence from South Africa Post-Apartheid," Working Papers 496, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    89. Tim Philippi & Jörg Schiller, 2024. "Abandoning disaster relief and stimulating insurance demand through premium subsidies," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 91(2), pages 339-382, June.
    90. Kuusi, Tero & Lähdemäki, Sakari, 2025. "Growth in Chains: EU Value Chain Productivity and its Slowdown," ETLA Working Papers 128, The Research Institute of the Finnish Economy.
    91. Hirvonen, Johannes & Kässi, Otto & Ropponen, Olli, 2023. "Jobs, Workers, and Firms: Dissecting the Labour Market Effects of Finland’s COVID-19 Subsidy Program," ETLA Working Papers 111, The Research Institute of the Finnish Economy.
    92. Ing-Marie Gren & Geoffrey Kerr, 2022. "A Meta-Regression Analysis of Hunters’ Valuations of Recreational Hunting," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
    93. Annalivia Polselli, 2023. "Influence Analysis with Panel Data," Papers 2312.05700, arXiv.org.
    94. Huang, Chen & Jia, Ning, 2025. "Do policies reshape attitudes? Evidence from maternity leave expansion in China," China Economic Review, Elsevier, vol. 93(C).
    95. Antonios M. Koumpias & Charles Courtemanche & Jordan W. Jones & Daniela Zapata, 2024. "Revisiting the connection between state Medicaid expansions and adult mortality," Southern Economic Journal, John Wiley & Sons, vol. 91(1), pages 187-212, July.
    96. Michael Pfaffermayr, 2023. "Cross‐sectional Gravity Models, PPML Estimation, and the Bias Correction of the Two‐Way Cluster‐Robust Standard Errors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(5), pages 1111-1134, October.
    97. Jean-Victor Alipour & Valentin Lindlacher, 2022. "No Surprises, Please: Voting Costs and Electoral Turnout," CESifo Working Paper Series 9759, CESifo.
    98. Shin, Seonho, 2025. "The impact of a sudden asylum seeker influx on host attitudes: Quasi-experimental evidence from South Korea," World Development, Elsevier, vol. 192(C).
    99. Cai, Xianjun & Liao, Lin & Pan, Yukun & Wang, Kun, 2025. "Seeking blessings by doing good: Top executive superstitions and corporate philanthropy," Journal of Corporate Finance, Elsevier, vol. 92(C).
    100. Matthew D. Webb, 2023. "Reworking wild bootstrap‐based inference for clustered errors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(3), pages 839-858, August.
    101. Mijail Eduardo Ruiz-Alemán & Carolina Carbajal-De-Nova & Francisco Venegas-Martínez, 2023. "On the Nexus between Economic growth and Environmental Degradation in 28 Countries Classified by Income Level: A Panel Data with an Error-components Model," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 523-536, November.
    102. RoyChoudhury, Agnitra & Petrova, Kameliia, 2023. "Impact of New York state nurse practitioners modernization act on quality of care," Economics Letters, Elsevier, vol. 230(C).
    103. Morris, Jeremy & Xu, Ke, 2025. "The effect of NYSE American’s latency delay on informed trading," International Review of Financial Analysis, Elsevier, vol. 105(C).
    104. Andreas Hagemann, 2023. "Inference on quantile processes with a finite number of clusters," Papers 2301.04687, arXiv.org, revised Jun 2023.
    105. Li, Rui & Zhu, Zhikai & Wang, Xiaoyan, 2023. "Pension insurance contributions and ESG performance: Evidence from China," Finance Research Letters, Elsevier, vol. 58(PD).
    106. Javier E. Portillo & Wisnu Sugiarto & Kevin Willardsen, 2024. "Drink…then drive away: The effects of lowering the blood alcohol concentration in Utah," Health Economics, John Wiley & Sons, Ltd., vol. 33(8), pages 1869-1894, August.
    107. Dao, Chi Danh & Fenig, Guidon & Sator, Georg & Yoon, Jin Young, 2024. "Assessing Robustness to Varying Clustering Methods and Samples in Ambuehl, Bernheim, and Lusardi (2022): Replication and Sensitivity Analysis," I4R Discussion Paper Series 110, The Institute for Replication (I4R).

  9. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Raquel Ayestarán & Juan Infante & Juan José Tenorio & Luis Alberiko Gil-Alana, 2023. "Evidence of Inflation Using Harmonized Consumer Price Indices in Some Euro Countries: France, Germany, Italy, and Spain, along with the Euro Zone," Mathematics, MDPI, vol. 11(10), pages 1-12, May.

  10. Fabrizio Iacone & Morten Ørregaard Nielsen & Robert Taylor, 2021. "Semiparametric Tests for the Order of Integration in the Possible Presence of Level Breaks," CREATES Research Papers 2021-04, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    2. Canepa, Alessandra, 2022. "Ination Dynamics and Time-Varying Persistence: The Importance of the Uncertainty Channel," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202211, University of Turin.
    3. Canepa, Alessandra, 2024. "Inflation dynamics and persistence: The importance of the uncertainty channel," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).

  11. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2020. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," CREATES Research Papers 2020-06, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Alexander Klein & Guy Tchuente, 2024. "Spatial differencing for sample selection models with ‘site-specific’ unobserved local effects," The Econometrics Journal, Royal Economic Society, vol. 27(2), pages 235-257.
    2. Schnitzlein, Charles & Chelley-Steeley, Patricia & Steeley, James M, 2024. "Conflicting versus reinforcing private information, information aggregation, and the time series properties of asset prices," Journal of Banking & Finance, Elsevier, vol. 169(C).
    3. Harold D Chiang & Yukitoshi Matsushita & Taisuke Otsu, 2021. "Multiway empirical likelihood," Papers 2108.04852, arXiv.org, revised Aug 2024.
    4. Harold D. Chiang & Kengo Kato & Yukun Ma & Yuya Sasaki, 2019. "Multiway Cluster Robust Double/Debiased Machine Learning," Papers 1909.03489, arXiv.org, revised Mar 2020.
    5. Jeremy Edwards & Sheilagh Ogilvie, 2022. "The Black Death and the origin of the European marriage pattern," Oxford Economic and Social History Working Papers _204, University of Oxford, Department of Economics.
    6. Markus Leibrecht & Christian Bellak, 2023. "Investment policy reform as a driver of foreign direct investment: Evidence from China," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(4), pages 1035-1053, October.
    7. Kaicheng Chen, 2025. "Inference in High-Dimensional Panel Models: Two-Way Dependence and Unobserved Heterogeneity," Papers 2504.18772, arXiv.org, revised Dec 2025.
    8. Binz, Oliver & Mayew, William J. & Nallareddy, Suresh, 2022. "Firms’ response to macroeconomic estimation errors," Journal of Accounting and Economics, Elsevier, vol. 73(2).
    9. Bellak, Christian & Leibrecht, Markus & Chaisse, Julien, 2022. "Reforming International Investment Agreements: The Case of China and Foreign Direct Investment," Department of Economics Working Paper Series 328, WU Vienna University of Economics and Business.
    10. Doko Tchatoka, Firmin & Wang, Wenjie, 2025. "Identification-Robust Two-Stage Bootstrap Tests with Pretesting for Exogeneity," MPRA Paper 125017, University Library of Munich, Germany.
    11. Doko Tchatoka, Firmin & Wang, Wenjie, 2024. "Weak-Identification-Robust Bootstrap Tests after Pretesting for Exogeneity," MPRA Paper 123060, University Library of Munich, Germany.
    12. MacKinnon, James G., 2023. "Fast cluster bootstrap methods for linear regression models," Econometrics and Statistics, Elsevier, vol. 26(C), pages 52-71.
    13. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2024. "Jackknife Inference with Two-Way Clustering," Working Paper 1516, Economics Department, Queen's University.
    14. Richard K. Crump & Nikolay Gospodinov & Ignacio Lopez Gaffney, 2024. "A Jackknife Variance Estimator for Panel Regressions," Staff Reports 1133, Federal Reserve Bank of New York.
    15. Bruno Ferman, 2019. "Inference in Difference-in-Differences: How Much Should We Trust in Independent Clusters?," Papers 1909.01782, arXiv.org, revised Sep 2022.
    16. Harold D. Chiang & Yuya Sasaki, 2019. "Lasso under Multi-way Clustering: Estimation and Post-selection Inference," Papers 1905.02107, arXiv.org, revised Aug 2019.
    17. Wang, Wenjie & Zhang, Yichong, 2024. "Wild bootstrap inference for instrumental variables regressions with weak and few clusters," Journal of Econometrics, Elsevier, vol. 241(1).
    18. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2020. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," CREATES Research Papers 2020-06, Department of Economics and Business Economics, Aarhus University.
    19. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Papers 2205.03285, arXiv.org.
    20. Ruonan Xu & Luther Yap, 2024. "Clustering with Potential Multidimensionality: Inference and Practice," Papers 2411.13372, arXiv.org.
    21. Rho, Seunghwa & Vogelsang, Timothy J., 2021. "Inference in time series models using smoothed-clustered standard errors," Journal of Econometrics, Elsevier, vol. 224(1), pages 113-133.
    22. Adnan M. S. Fakir & Tushar Bharati, 2021. "Healthy, nudged, and wise: Experimental evidence on the role of cost reminders in healthy decision-making," Economics Discussion / Working Papers 21-13, The University of Western Australia, Department of Economics.
    23. Yu Zheng & Honggang Fan, 2025. "Fast Cluster Bootstrap Methods for Spatial Error Models," Mathematics, MDPI, vol. 13(18), pages 1-16, September.
    24. Yap, Luther, 2025. "Asymptotic theory for two-way clustering," Journal of Econometrics, Elsevier, vol. 249(PB).
    25. Luther Yap, 2023. "Asymptotic Theory for Two-Way Clustering," Papers 2301.03805, arXiv.org, revised Jun 2024.
    26. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Fast and reliable jackknife and bootstrap methods for cluster‐robust inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 671-694, August.
    27. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust," Working Paper 1483, Economics Department, Queen's University.
    28. Chiang, Harold D. & Matsushita, Yukitoshi & Otsu, Taisuke, 2025. "Multiway empirical likelihood," Journal of Econometrics, Elsevier, vol. 249(PA).
    29. Konrad Menzel, 2021. "Bootstrap With Cluster‐Dependence in Two or More Dimensions," Econometrica, Econometric Society, vol. 89(5), pages 2143-2188, September.
    30. James G. MacKinnon, 2022. "Using Large Samples in Econometrics," Working Paper 1482, Economics Department, Queen's University.
    31. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2023. "Testing for the appropriate level of clustering in linear regression models," Papers 2301.04522, arXiv.org, revised Mar 2023.
    32. Patrick Gauß & Sonja Gensler & Michael Kortenhaus & Nadine Riedel & Andrea Schneider, 2024. "Regulating the sharing economy: The effects of day caps on short- and long-term rental markets and stakeholder outcomes," Journal of the Academy of Marketing Science, Springer, vol. 52(6), pages 1627-1650, November.
    33. Wang, Wenjie, 2021. "Wild Bootstrap for Instrumental Variables Regression with Weak Instruments and Few Clusters," MPRA Paper 106227, University Library of Munich, Germany.
    34. Laurent Davezies & Xavier D'Haultf{oe}uille & Yannick Guyonvarch, 2025. "Analytic inference with two-way clustering," Papers 2506.20749, arXiv.org.
    35. Harold D Chiang & Yukitoshi Matsushita & Taisuke Otsu, 2021. "Multiway empirical likelihood," STICERD - Econometrics Paper Series 617, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    36. Zach Raff & Andrew Meyer, 2022. "CAFOs and Surface Water Quality: Evidence from Wisconsin," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 161-189, January.
    37. Semih Tumen & Hakan Ulucan, 2024. "Empowered or impoverished: the impact of panic buttons on domestic violence," Review of Economics of the Household, Springer, vol. 22(4), pages 1423-1459, December.
    38. Lahiri, Kajal & Yin, Yimeng, 2024. "Seasonality in U.S. disability applications, labor market, and the pandemic echoes," Labour Economics, Elsevier, vol. 87(C).
    39. Leila Agha & Soomi Kim & Danielle Li, 2020. "Insurance Design and Pharmaceutical Innovation," NBER Working Papers 27563, National Bureau of Economic Research, Inc.
    40. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2024. "Cluster-robust jackknife and bootstrap inference for logistic regression models," Papers 2406.00650, arXiv.org, revised May 2025.
    41. Harold D. Chiang & Kengo Kato & Yuya Sasaki, 2020. "Inference for high-dimensional exchangeable arrays," Papers 2009.05150, arXiv.org, revised Jul 2021.
    42. Wenjie Wang & Yichong Zhang, 2021. "Wild Bootstrap for Instrumental Variables Regressions with Weak and Few Clusters," Papers 2108.13707, arXiv.org, revised Jan 2024.
    43. Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2019. "The Wild Bootstrap with a Small Number of Large Clusters," CeMMAP working papers CWP40/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    44. Gradstein, Mark & Klemp, Marc, 2020. "Natural resource access and local economic growth," European Economic Review, Elsevier, vol. 127(C).
    45. Lu, Xun & Su, Liangjun, 2023. "Uniform inference in linear panel data models with two-dimensional heterogeneity," Journal of Econometrics, Elsevier, vol. 235(2), pages 694-719.
    46. James G. MacKinnon & Matthew D. Webb, 2020. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's University.
    47. Gnocato, Nicolò & Modena, Francesca & Tomasi, Chiara, 2020. "Labor market reforms and allocative efficiency in Italy," Labour Economics, Elsevier, vol. 67(C).
    48. Kaicheng Chen & Timothy J. Vogelsang, 2023. "Fixed-b Asymptotics for Panel Models with Two-Way Clustering," Papers 2309.08707, arXiv.org, revised Aug 2024.
    49. Harold D Chiang & Yukun Ma & Joel Rodrigue & Yuya Sasaki, 2021. "Dyadic double/debiased machine learning for analyzing determinants of free trade agreements," Papers 2110.04365, arXiv.org, revised Dec 2022.
    50. Kengo Igei & Kana Takio & Keitaro Aoyagi & Yoshito Takasaki, 2020. "Vocational Training for Demobilized Ex-combatants with Disabilities in Rwanda," CIRJE F-Series CIRJE-F-1155, CIRJE, Faculty of Economics, University of Tokyo.
    51. Philippe Kabore & Nicholas Rivers, 2023. "Manufacturing output and extreme temperature: Evidence from Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(1), pages 191-224, February.
    52. Nan Liu & Yanbo Liu & Yuya Sasaki, 2024. "Estimation and Inference for Causal Functions with Multiway Clustered Data," Papers 2409.06654, arXiv.org.
    53. Michael Pfaffermayr, 2023. "Cross‐sectional Gravity Models, PPML Estimation, and the Bias Correction of the Two‐Way Cluster‐Robust Standard Errors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(5), pages 1111-1134, October.
    54. Harold D Chiang & Bruce E Hansen & Yuya Sasaki, 2022. "Standard errors for two-way clustering with serially correlated time effects," Papers 2201.11304, arXiv.org, revised Dec 2023.
    55. Matthew D. Webb, 2023. "Reworking wild bootstrap‐based inference for clustered errors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(3), pages 839-858, August.
    56. Segundo Camino‐Mogro, 2023. "Tax incentives, private investment and employment: Evidence from an Ecuadorian reform," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(7), pages 2129-2156, October.
    57. Chen, Kaicheng & Vogelsang, Timothy J., 2024. "Fixed-b asymptotics for panel models with two-way clustering," Journal of Econometrics, Elsevier, vol. 244(1).

  12. Giuseppe Cavaliere & Morten Ørregaard Nielsen & Robert Taylor, 2020. "Adaptive Inference in Heteroskedastic Fractional Time Series Models," CREATES Research Papers 2020-08, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. David I. Harvey & Stephen J. Leybourne & Yang Zu, 2024. "Tests for equal forecast accuracy under heteroskedasticity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 850-869, August.
    2. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    3. Lui, Yiu Lim & Phillips, Peter C.B. & Yu, Jun, 2024. "Robust testing for explosive behavior with strongly dependent errors," Journal of Econometrics, Elsevier, vol. 238(2).
    4. Lujia Bai & Weichi Wu, 2021. "Detecting long-range dependence for time-varying linear models," Papers 2110.08089, arXiv.org, revised Mar 2023.
    5. Giuseppe Cavaliere & Morten Ørregaard Nielsen & Robert Taylor, 2020. "Adaptive Inference in Heteroskedastic Fractional Time Series Models," CREATES Research Papers 2020-08, Department of Economics and Business Economics, Aarhus University.
    6. David I. Harvey & Stephen J. Leybourne & Yang Zu, 2023. "Estimation of the variance function in structural break autoregressive models with non‐stationary and explosive segments," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(2), pages 181-205, March.
    7. Javier Hualde & Morten Ørregaard Nielsen, 2022. "Truncated sum-of-squares estimation of fractional time series models with generalized power law trend," CREATES Research Papers 2022-07, Department of Economics and Business Economics, Aarhus University.

  13. Javier Hualde & Morten Ørregaard Nielsen, 2020. "Truncated sum of squares estimation of fractional time series models with deterministic trends," CREATES Research Papers 2020-07, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Javier Hualde & Morten Ørregaard Nielsen, 2022. "Truncated sum-of-squares estimation of fractional time series models with generalized power law trend," Working Paper 1458, Economics Department, Queen's University.
    2. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    3. Ergemen, Yunus Emre & Rodríguez-Caballero, C. Vladimir, 2023. "Estimation of a dynamic multi-level factor model with possible long-range dependence," International Journal of Forecasting, Elsevier, vol. 39(1), pages 405-430.
    4. Mustafa R. K{i}l{i}nc{c} & Michael Massmann, 2024. "The modified conditional sum-of-squares estimator for fractionally integrated models," Papers 2404.12882, arXiv.org, revised Feb 2025.
    5. Dolado, Juan J & Rachinger, Heiko & Velasco, Carlos, 2020. "LM tests for joint breaks in the dynamics and level of a long-memory time series," CEPR Discussion Papers 15435, C.E.P.R. Discussion Papers.
    6. Javier Hualde & Morten Ørregaard Nielsen, 2020. "Truncated sum of squares estimation of fractional time series models with deterministic trends," CREATES Research Papers 2020-07, Department of Economics and Business Economics, Aarhus University.

  14. Antoine A. Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2019. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," CREATES Research Papers 2019-05, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Alexander Klein & Guy Tchuente, 2024. "Spatial differencing for sample selection models with ‘site-specific’ unobserved local effects," The Econometrics Journal, Royal Economic Society, vol. 27(2), pages 235-257.
    2. Klein, Alexander & Meissner, Christopher M., 2024. "Did Tariffs Make American Manufacturing Great? New Evidence from the Gilded Age," CAGE Online Working Paper Series 729, Competitive Advantage in the Global Economy (CAGE).
    3. Schnitzlein, Charles & Chelley-Steeley, Patricia & Steeley, James M, 2024. "Conflicting versus reinforcing private information, information aggregation, and the time series properties of asset prices," Journal of Banking & Finance, Elsevier, vol. 169(C).
    4. Cruces,Guillermo & Tortarolo, Dario & Vazquez-Bare,Gonzalo, 2025. "Design of Partial Population Experiments with an Application to Spillovers in Tax Compliance," Policy Research Working Paper Series 11059, The World Bank.
    5. Timothy G. Conley & Sílvia Gonçalves & Min Seong Kim & Benoit Perron, 2023. "Bootstrap inference under cross‐sectional dependence," Quantitative Economics, Econometric Society, vol. 14(2), pages 511-569, May.
    6. Doko Tchatoka, Firmin & Wang, Wenjie, 2021. "Size-corrected Bootstrap Test after Pretesting for Exogeneity with Heteroskedastic or Clustered Data," MPRA Paper 110899, University Library of Munich, Germany.
    7. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2024. "Cluster-Robust Jackknife and Bootstrap Inference for Binary Response Models," Working Paper 1515, Economics Department, Queen's University.
    8. James G. MacKinnon, 2021. "Fast cluster bootstrap methods for linear regression models," Working Paper 1465, Economics Department, Queen's University.
    9. Bruce E. Hansen & Seojeong Lee, 2019. "Asymptotic Theory for Clustered Samples," Papers 1902.01497, arXiv.org.
    10. Markus Leibrecht & Christian Bellak, 2023. "Investment policy reform as a driver of foreign direct investment: Evidence from China," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(4), pages 1035-1053, October.
    11. Bharati, Tushar & Chang, Simon & Li, Qing, 2023. "Does tertiary education expansion affect the fertility of women past the college-entry age?," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 1029-1055.
    12. Binz, Oliver & Mayew, William J. & Nallareddy, Suresh, 2022. "Firms’ response to macroeconomic estimation errors," Journal of Accounting and Economics, Elsevier, vol. 73(2).
    13. Bellak, Christian & Leibrecht, Markus & Chaisse, Julien, 2022. "Reforming International Investment Agreements: The Case of China and Foreign Direct Investment," Department of Economics Working Paper Series 328, WU Vienna University of Economics and Business.
    14. Liyu Dou & Pengjin Min & Wenjie Wang & Yichong Zhang, 2025. "An Improved Inference for IV Regressions," Papers 2506.23816, arXiv.org.
    15. Doko Tchatoka, Firmin & Wang, Wenjie, 2025. "Identification-Robust Two-Stage Bootstrap Tests with Pretesting for Exogeneity," MPRA Paper 125017, University Library of Munich, Germany.
    16. Doko Tchatoka, Firmin & Wang, Wenjie, 2024. "Weak-Identification-Robust Bootstrap Tests after Pretesting for Exogeneity," MPRA Paper 123060, University Library of Munich, Germany.
    17. Gerling, Lena & Kellermann, Kim Leonie, 2019. "The impact of election information shocks on populist party preferences: Evidence from Germany," CIW Discussion Papers 3/2019, University of Münster, Center for Interdisciplinary Economics (CIW).
    18. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2024. "Jackknife Inference with Two-Way Clustering," Working Paper 1516, Economics Department, Queen's University.
    19. Yuya Sasaki & Yulong Wang, 2022. "Non-Robustness of the Cluster-Robust Inference: with a Proposal of a New Robust Method," Papers 2210.16991, arXiv.org, revised Jan 2025.
    20. Tom Boot & Gianmaria Niccodemi & Tom Wansbeek, 2023. "Unbiased estimation of the OLS covariance matrix when the errors are clustered," Empirical Economics, Springer, vol. 64(6), pages 2511-2533, June.
    21. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference," Working Paper 1485, Economics Department, Queen's University.
    22. Wang, Wenjie & Zhang, Yichong, 2024. "Wild bootstrap inference for instrumental variables regressions with weak and few clusters," Journal of Econometrics, Elsevier, vol. 241(1).
    23. McKibbin, Rebecca, 2023. "The effect of RCTs on drug demand: Evidence from off-label cancer drugs," Journal of Health Economics, Elsevier, vol. 90(C).
    24. Bruce E. Hansen, 2025. "Standard Errors for Difference‐in‐Difference Regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(3), pages 291-309, April.
    25. Sander Lammers & Massimo Giuliodori & Robert Schmitz & Adam Elbourne, 2023. "Bank Funding, SME lending and Risk Taking," CPB Discussion Paper 447, CPB Netherlands Bureau for Economic Policy Analysis.
    26. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2020. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," CREATES Research Papers 2020-06, Department of Economics and Business Economics, Aarhus University.
    27. Liu, Xinyan & Xu, Yunjiao & Zou, Jian, 2024. "Migration barrier relaxation and entrepreneurship: Evidence from the hukou reform in China," Labour Economics, Elsevier, vol. 90(C).
    28. Antoine A. Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2019. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," CREATES Research Papers 2019-05, Department of Economics and Business Economics, Aarhus University.
    29. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Papers 2205.03285, arXiv.org.
    30. Tim Bersak & Richard Gearhart & Nyakundi Michieka, 2024. "CBD as a cure‐all? The impacts of state‐level legalization of prescription cannabidiol (CBD) on opioid prescriptions," Southern Economic Journal, John Wiley & Sons, vol. 90(3), pages 701-740, January.
    31. David Roodman & James G. MacKinnon & Matthew D. Webb & Morten Ø. Nielsen, 2018. "Fast And Wild: Bootstrap Inference In Stata Using Boottest," Working Paper 1406, Economics Department, Queen's University.
    32. Rho, Seunghwa & Vogelsang, Timothy J., 2021. "Inference in time series models using smoothed-clustered standard errors," Journal of Econometrics, Elsevier, vol. 224(1), pages 113-133.
    33. Adnan M. S. Fakir & Tushar Bharati, 2021. "Healthy, nudged, and wise: Experimental evidence on the role of cost reminders in healthy decision-making," Economics Discussion / Working Papers 21-13, The University of Western Australia, Department of Economics.
    34. Solórzano Diego & Dixon Huw, 2020. "The Relationship Between Nominal Wage and Price Flexibility: New Evidence," Working Papers 2020-20, Banco de México.
    35. Yu Zheng & Honggang Fan, 2025. "Fast Cluster Bootstrap Methods for Spatial Error Models," Mathematics, MDPI, vol. 13(18), pages 1-16, September.
    36. Yap, Luther, 2025. "Asymptotic theory for two-way clustering," Journal of Econometrics, Elsevier, vol. 249(PB).
    37. Guillermo Cruces & Dario Tortarolo & Gonzalo Vazquez-Bare, 2022. "Design of two-stage experiments with an application to spillovers in tax compliance," IFS Working Papers W22/32, Institute for Fiscal Studies.
    38. Luther Yap, 2023. "Asymptotic Theory for Two-Way Clustering," Papers 2301.03805, arXiv.org, revised Jun 2024.
    39. Johannes W. Ligtenberg, 2023. "Inference in clustered IV models with many and weak instruments," Papers 2306.08559, arXiv.org, revised Oct 2025.
    40. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust," Working Paper 1483, Economics Department, Queen's University.
    41. Fabienne Helfer & Volker Grossmann & Aderonke Osikominu, 2023. "How does immigration affect housing costs in Switzerland?," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-31, December.
    42. Kojevnikov, Denis & Song, Kyungchul, 2023. "Some impossibility results for inference with cluster dependence with large clusters," Journal of Econometrics, Elsevier, vol. 237(2).
    43. Chung, Bobby W. & Zou, Jian, 2025. "Occupational licensing in US public schools: Nationwide implementation of Teacher Performance Assessment," Journal of Public Economics, Elsevier, vol. 244(C).
    44. Andreas Hagemann, 2020. "Inference with a single treated cluster," Papers 2010.04076, arXiv.org.
    45. Harold D. Chiang & Jiatong Li & Yuya Sasaki, 2021. "Algorithmic subsampling under multiway clustering," Papers 2103.00557, arXiv.org, revised Oct 2022.
    46. James G. MacKinnon, 2022. "Using Large Samples in Econometrics," Working Paper 1482, Economics Department, Queen's University.
    47. Harold D. Chiang, 2018. "Many Average Partial Effects: with An Application to Text Regression," Papers 1812.09397, arXiv.org, revised Jan 2022.
    48. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2023. "Testing for the appropriate level of clustering in linear regression models," Papers 2301.04522, arXiv.org, revised Mar 2023.
    49. Wang, Wenjie, 2021. "Wild Bootstrap for Instrumental Variables Regression with Weak Instruments and Few Clusters," MPRA Paper 106227, University Library of Munich, Germany.
    50. Wenjie Wang & Yichong Zhang, 2024. "Gradient Wild Bootstrap for Instrumental Variable Quantile Regressions with Weak and Few Clusters," Papers 2408.10686, arXiv.org.
    51. Alexander Klein & Guy Tchuente, 2020. "Spatial Differencing for Sample Selection Models with Unobserved Heterogeneity," Papers 2009.06570, arXiv.org.
    52. Zach Raff & Andrew Meyer, 2022. "CAFOs and Surface Water Quality: Evidence from Wisconsin," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 161-189, January.
    53. Andreas Hagemann, 2019. "Permutation inference with a finite number of heterogeneous clusters," Papers 1907.01049, arXiv.org, revised Feb 2023.
    54. Chun Pong Lau, 2025. "Combining Clusters for the Approximate Randomization Test," Papers 2502.03865, arXiv.org.
    55. Arjan Trinks & Erik Hille, 2023. "Carbon costs and industrial firm performance: Evidence from international microdata," CPB Discussion Paper 445, CPB Netherlands Bureau for Economic Policy Analysis.
    56. Leila Agha & Soomi Kim & Danielle Li, 2020. "Insurance Design and Pharmaceutical Innovation," NBER Working Papers 27563, National Bureau of Economic Research, Inc.
    57. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2024. "Cluster-robust jackknife and bootstrap inference for logistic regression models," Papers 2406.00650, arXiv.org, revised May 2025.
    58. Hwang, Jungbin, 2021. "Simple and trustworthy cluster-robust GMM inference," Journal of Econometrics, Elsevier, vol. 222(2), pages 993-1023.
    59. Adnan M. S. Fakir & Tushar Bharati, 2022. "Healthy, nudged, and wise: Experimental evidence on the role of information salience in reducing tobacco intake," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 1129-1166, June.
    60. Wenjie Wang & Yichong Zhang, 2021. "Wild Bootstrap for Instrumental Variables Regressions with Weak and Few Clusters," Papers 2108.13707, arXiv.org, revised Jan 2024.
    61. MacKinnon, James G. & Webb, Matthew D., 2020. "Randomization inference for difference-in-differences with few treated clusters," Journal of Econometrics, Elsevier, vol. 218(2), pages 435-450.
    62. Jianghao Chu & Tae-Hwy Lee & Aman Ullah & Haifeng Xu, 2020. "Exact Distribution of the F-statistic under Heteroskedasticity of Unknown Form for Improved Inference," Working Papers 202027, University of California at Riverside, Department of Economics.
    63. Mansfield, Jonathan & Slichter, David, 2021. "The Long-Run Effects of Consequential School Accountability," IZA Discussion Papers 14503, Institute of Labor Economics (IZA).
    64. Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2019. "The Wild Bootstrap with a Small Number of Large Clusters," CeMMAP working papers CWP40/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    65. Gradstein, Mark & Klemp, Marc, 2020. "Natural resource access and local economic growth," European Economic Review, Elsevier, vol. 127(C).
    66. Wenze Li, 2025. "Wild Bootstrap Inference for Linear Regressions with Many Covariates," Papers 2506.20972, arXiv.org.
    67. James G. MacKinnon & Matthew D. Webb, 2020. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's University.
    68. James G. MacKinnon, 2019. "How cluster‐robust inference is changing applied econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 52(3), pages 851-881, August.
    69. Ye, Xiaoyang & Zhai, Muxin & Feng, Li, 2025. "Free teacher education in rural China: Incentives and challenges11We thank Jesse Bruhn, Olivia Chi, Heather Hill, Brian Jacob, Susanna Loeb, David Monk, Emily Rauscher, Eric Taylor, and seminar partic," China Economic Review, Elsevier, vol. 93(C).
    70. Philippe Kabore & Nicholas Rivers, 2023. "Manufacturing output and extreme temperature: Evidence from Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(1), pages 191-224, February.
    71. Gaganis, Chrysovalantis & Leledakis, George N. & Pasiouras, Fotios & Pyrgiotakis, Emmanouil G., 2025. "National culture of secrecy and stock price synchronicity: Cross-country evidence," Journal of Banking & Finance, Elsevier, vol. 170(C).
    72. Matthew D. Webb, 2023. "Reworking wild bootstrap‐based inference for clustered errors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(3), pages 839-858, August.
    73. Fabian Grünwald & Tom Stargardt, 2024. "Harmonizing regulatory market approval of products with high safety requirements: Evidence from the European pharmaceutical market," Health Economics, John Wiley & Sons, Ltd., vol. 33(7), pages 1546-1564, July.
    74. Li, Wenbo, 2023. "The effect of China's driving restrictions on air pollution: The role of a policy announcement without a stated expiration," Resource and Energy Economics, Elsevier, vol. 72(C).
    75. Elia Lapenta, 2022. "A Bootstrap Specification Test for Semiparametric Models with Generated Regressors," Papers 2212.11112, arXiv.org, revised Oct 2023.
    76. Lee, Sunyoung, 2025. "Did recreational marijuana legalization increase crime in the long run?," International Review of Law and Economics, Elsevier, vol. 82(C).

  15. Søren Johansen & Morten Ørregaard Nielsen, 2018. "Nonstationary cointegration in the fractionally cointegrated VAR model," CREATES Research Papers 2018-17, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Yan, Meng & Chen, Jian & Song, Victor & Xu, Ke, 2022. "Trade friction and price discovery in the USD–CAD spot and forward markets," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    2. Quineche Ricardo, 2021. "Consumption, Aggregate Wealth and Expected Stock Returns: An FCVAR Approach," Journal of Time Series Econometrics, De Gruyter, vol. 13(1), pages 21-42, January.
    3. Oyebayo Ridwan Olaniran & Saidat Fehintola Olaniran & Ali Rashash R. Alzahrani & Nada MohammedSaeed Alharbi & Asma Ahmad Alzahrani, 2025. "Bayesian Tapered Narrowband Least Squares for Fractional Cointegration Testing in Panel Data," Mathematics, MDPI, vol. 13(10), pages 1-28, May.
    4. Leschinski, Christian & Voges, Michelle & Sibbertsen, Philipp, 2019. "A Comparison of Semiparametric Tests for Fractional Cointegration," Hannover Economic Papers (HEP) dp-651, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    5. Javier Hualde & Morten Ørregaard Nielsen, 2022. "Truncated sum-of-squares estimation of fractional time series models with generalized power law trend," Working Paper 1458, Economics Department, Queen's University.
    6. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    7. Hirukawa, Junichi & Raïssi, Hamdi, 2020. "Testing linear relationships between non-constant variances of economic variables," Economic Modelling, Elsevier, vol. 90(C), pages 182-189.
    8. Pérez-Rodríguez, Jorge V. & Andrada-Félix, Julián & Rachinger, Heiko, 2021. "Testing the forward volatility unbiasedness hypothesis in exchange rates under long-range dependence," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    9. Ke Xu & Yu‐Lun Chen & Bo Liu & Jian Chen, 2024. "Price discovery and long‐memory property: Simulation and empirical evidence from the bitcoin market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(4), pages 605-618, April.
    10. Yao, Xingzhi & Izzeldin, Marwan & Li, Zhenxiong, 2019. "Modelling systems with a mixture of I(d) and I(0) variables using the fractionally co-integrated VAR model," Economics Letters, Elsevier, vol. 181(C), pages 160-163.
    11. Alia Afzal & Philipp Sibbertsen, 2021. "Modeling fractional cointegration between high and low stock prices in Asian countries," Empirical Economics, Springer, vol. 60(2), pages 661-682, February.
    12. Chen, Yu-Lun & Xu, Ke, 2021. "The impact of RMB’s SDR inclusion on price discovery in onshore-offshore markets," Journal of Banking & Finance, Elsevier, vol. 127(C).
    13. Federico Carlini & Paolo Santucci de Magistris, 2019. "Resuscitating the co-fractional model of Granger (1986)," Discussion Papers 19/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    14. Javier Hualde & Morten Ørregaard Nielsen, 2020. "Truncated sum of squares estimation of fractional time series models with deterministic trends," CREATES Research Papers 2020-07, Department of Economics and Business Economics, Aarhus University.
    15. Xu, Ke & Chen, Yu-Lun & Yang, J. Jimmy, 2023. "Market uncertainty, persistent arbitrage-free violation, and price discovery in RMB market," International Review of Financial Analysis, Elsevier, vol. 90(C).
    16. Guglielmo Maria Caporale & Alfonso Dominguez & Luis Alberiko Gil-Alana, 2025. "Testing for Persistence in Real House Prices in 47 Countries from the OECD Database," CESifo Working Paper Series 11662, CESifo.
    17. Ataei, Masoud & Chen, Shengyuan & Yang, Zijiang & Peyghami, M. Reza, 2021. "Theory and applications of financial chaos index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    18. Jayawardena, Nirodha I. & Todorova, Neda & Li, Bin & Su, Jen-Je & Gau, Yin-Feng, 2022. "Risk-return trade-off in the Australian Securities Exchange: Accounting for overnight effects, realized higher moments, long-run relations, and fractional cointegration," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 384-401.

  16. Morten Ø. Nielsen & Michal Ksawery Popiel, 2018. "A Matlab Program And User's Guide For The Fractionally Cointegrated Var Model," Working Paper 1330, Economics Department, Queen's University.

    Cited by:

    1. Samet Gunay, 2018. "Fractionally Cointegrated Vector Autoregression Model: Evaluation of High/Low and Close/Open Spreads for Precious Metals," SAGE Open, , vol. 8(4), pages 21582440188, November.
    2. Yan, Meng & Chen, Jian & Song, Victor & Xu, Ke, 2022. "Trade friction and price discovery in the USD–CAD spot and forward markets," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    3. Masoud Ataei & Shengyuan Chen & Zijiang Yang & M. Reza Peyghami, 2021. "Theory and Applications of Financial Chaos Index," Papers 2101.02288, arXiv.org.
    4. Quineche Ricardo, 2021. "Consumption, Aggregate Wealth and Expected Stock Returns: An FCVAR Approach," Journal of Time Series Econometrics, De Gruyter, vol. 13(1), pages 21-42, January.
    5. Gagnon, Marie-Hélène & Power, Gabriel J. & Toupin, Dominique, 2016. "International stock market cointegration under the risk-neutral measure," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 243-255.
    6. Sepideh Dolatabadi & Paresh Kumar Narayan & Morten Ørregaard Nielsen & Ke Xu, 2018. "Economic significance of commodity return forecasts from the fractionally cointegrated VAR model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(2), pages 219-242, February.
    7. Xu, Ke & Stewart, Kenneth G. & Cao, Zeyang, 2022. "Fractional cointegration and price discovery in Canadian commodities," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    8. Guglielmo Maria Caporale & Hector Carcel & Luis A. Gil-Alana, 2018. "Prospects for a Monetary Union in the East Africa Community: Some Empirical Evidence," CESifo Working Paper Series 7073, CESifo.
    9. Maggie E. C. Jones & Morten Ørregaard Nielsen & Michał Ksawery Popiel, 2014. "A fractionally cointegrated VAR analysis of economic voting and political support," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 47(4), pages 1078-1130, November.
    10. Stoupos, Nikolaos & Kiohos, Apostolos, 2022. "Bond markets integration in the EU: New empirical evidence from the Eastern non-euro member-states," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    11. Poza, Carlos & Monge, Manuel, 2020. "A real time leading economic indicator based on text mining for the Spanish economy. Fractional cointegration VAR and Continuous Wavelet Transform analysis," International Economics, Elsevier, vol. 163(C), pages 163-175.
    12. Leandro Maciel, 2020. "Technical analysis based on high and low stock prices forecasts: evidence for Brazil using a fractionally cointegrated VAR model," Empirical Economics, Springer, vol. 58(4), pages 1513-1540, April.
    13. Alexander Boca Saravia & Gabriel Rodríguez, 2019. "Presidential Approval in Peru: An Empirical Analysis Using a Fractionally Cointegrated VAR," Documentos de Trabajo / Working Papers 2019-480, Departamento de Economía - Pontificia Universidad Católica del Perú.
    14. Sepideh Dolatabadi & Morten Ørregaard Nielsen & Ke Xu, 2015. "A Fractionally Cointegrated VAR Analysis of Price Discovery in Commodity Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 339-356, April.
    15. Yaya, OlaOluwa S & Ogbonna, Ephraim A & Olubusoye, Olusanya E, 2018. "How Persistent and Dependent are Pricing of Bitcoin to other Cryptocurrencies Before and After 2017/18 Crash?," MPRA Paper 91253, University Library of Munich, Germany.
    16. Oloko, Tirimisiyu F. & Ogbonna, Ahamuefula E. & Adedeji, Abdulfatai A. & Lakhani, Noman, 2021. "Fractional cointegration between gold price and inflation rate: Implication for inflation rate persistence," Resources Policy, Elsevier, vol. 74(C).
    17. Morten Ørregaard Nielsen & Sergei S. Shibaev, 2015. "Forecasting daily political opinion polls using the fractionally cointegrated VAR model," Working Paper 1340, Economics Department, Queen's University.
    18. Afsin Sahin, 2019. "Loom of Symmetric Pass-Through," Economies, MDPI, vol. 7(1), pages 1-25, February.
    19. Morten Ø. Nielsen & S Johansen, 2018. "Nonstationary Cointegration In The Fractionally Cointegrated Var Model," Working Paper 1405, Economics Department, Queen's University.
    20. Popiel Michal Ksawery, 2017. "Interest rate pass-through: a nonlinear vector error-correction approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(5), pages 1-20, December.
    21. Vadim Kufenko & Niels Geiger, 2016. "Business cycles in the economy and in economics: an econometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 43-69, April.
    22. Soeren Johansen & Morten Oeregaard Nielsen, 2017. "Testing the CVAR in the fractional CVAR model," Discussion Papers 17-23, University of Copenhagen. Department of Economics.
    23. Yaya, OaOluwa S & Vo, Xuan Vinh & Ogbonna, Ahamuefula E & Adewuyi, Adeolu O, 2020. "Modelling Cryptocurrency High-Low Prices using Fractional Cointegrating VAR," MPRA Paper 102190, University Library of Munich, Germany, revised 02 Aug 2020.
    24. Tanin, Tauhidul Islam & Sarker, Ashutosh & Brooks, Robert & Do, Hung Xuan, 2022. "Does oil impact gold during COVID-19 and three other recent crises?," Energy Economics, Elsevier, vol. 108(C).
    25. Monge, Manuel & Poza, Carlos & Borgia, Sofía, 2022. "A proposal of a suspicion of tax fraud indicator based on Google trends to foresee Spanish tax revenues," International Economics, Elsevier, vol. 169(C), pages 1-12.
    26. Nikolaos Stoupos & Apostolos Kiohos, 2022. "Euro Area: Towards a European Common Bond? – Empirical Evidence from the Sovereign Debt Markets," Journal of Common Market Studies, Wiley Blackwell, vol. 60(4), pages 1019-1046, July.
    27. Bent Jesper Christensen & Nabanita Datta Gupta & Paolo Santucci de Magistris, 2021. "Measuring the impact of clean energy production on CO2 abatement in Denmark: Upper bound estimation and forecasting," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 118-149, January.
    28. OlaOluwa S. Yaya & Nurudeen Abu & Tayo P. Ogundunmade, 2021. "Economic policy uncertainty in G7 countries: evidence of long-range dependence and cointegration," Economic Change and Restructuring, Springer, vol. 54(2), pages 541-556, May.
    29. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    30. Salisu, Afees A. & Ndako, Umar B. & Adediran, Idris A. & Swaray, Raymond, 2020. "A fractional cointegration VAR analysis of Islamic stocks: A global perspective," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    31. Chen, Yu-Lun & Xu, Ke, 2021. "The impact of RMB’s SDR inclusion on price discovery in onshore-offshore markets," Journal of Banking & Finance, Elsevier, vol. 127(C).
    32. Yaya, OlaOluwa S & Gil-Alana, Luis A., 2018. "High and Low Intraday Commodity Prices: A Fractional Integration and Cointegration Approach," MPRA Paper 90518, University Library of Munich, Germany.
    33. Federico Carlini & Paolo Santucci de Magistris, 2019. "Resuscitating the co-fractional model of Granger (1986)," Discussion Papers 19/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    34. Filippo Beltrami & Fulvio Fontini & Monica Giulietti & Luigi Grossi, 2021. "The zonal and seasonal CO2 marginal emissions factors for the Italian power market," Working Papers 01/2021, University of Verona, Department of Economics.
    35. Tule, Moses K. & Salisu, Afees A. & Ebuh, Godday U., 2020. "A test for inflation persistence in Nigeria using fractional integration & fractional cointegration techniques," Economic Modelling, Elsevier, vol. 87(C), pages 225-237.
    36. Monge, Manuel & Lazcano, Ana & Parada, José Luis, 2023. "Growth vs value investing: Persistence and time trend before and after COVID-19," Research in International Business and Finance, Elsevier, vol. 65(C).
    37. Jayawardena, Nirodha I. & Todorova, Neda & Li, Bin & Su, Jen-Je & Gau, Yin-Feng, 2022. "Risk-return trade-off in the Australian Securities Exchange: Accounting for overnight effects, realized higher moments, long-run relations, and fractional cointegration," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 384-401.

  17. James G. MacKinnon & Morten Ørregaard Nielsen & David Roodman & Matthew D. Webb, 2018. "Fast and Wild: Bootstrap Inference in Stata Using boottest," CREATES Research Papers 2018-34, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Zuzana Rakovska & Dominika Ehrenbergerova & Martin Hodula, 2020. "The Power of Sentiment: Irrational Beliefs of Households and Consumer Loan Dynamics," Working Papers 2020/10, Czech National Bank, Research and Statistics Department.
    2. Roxanne Kovacs & Maurice Dunaiski & Janne Tukiainen, 2020. "Compulsory face mask policies do not affect community mobility in Germany," Discussion Papers 136, Aboa Centre for Economics.
    3. Lahey, Joanna N. & Wanamaker, Marianne H., 2025. "Effects of restrictive abortion legislation on cohort mortality evidence from 19th century law variation," Journal of Public Economics, Elsevier, vol. 243(C).
    4. Gabriella Conti & Stavros Poupakis & Peter Ekamper & Govert Bijwaard & L. H. Lumey, 2021. "Severe Prenatal Shocks and Adolescent Health: Evidence from the Dutch Hunger Winter," Working Papers 2021-056, Human Capital and Economic Opportunity Working Group.
    5. Fabo, Brian & Jančoková, Martina & Kempf, Elisabeth & Pástor, Ľuboš, 2021. "Fifty shades of QE: Comparing findings of central bankers and academics," Journal of Monetary Economics, Elsevier, vol. 120(C), pages 1-20.
    6. Gary Charness & Ramón Cobo-Reyes & Erik Eyster & Gabriel Katz & Ángela Sánchez & Matthias Sutter, 2020. "Improving healthy eating in children: Experimental evidence," Discussion Paper Series of the Max Planck Institute for Behavioral Economics 2021_01, Max Planck Institute for Behavioral Economics.
    7. Douglas Gollin & Casper Worm Hansen & Asger Wingender, 2016. "Two Blades of Grass: The Impact of the Green Revolution," CSAE Working Paper Series 2016-30, Centre for the Study of African Economies, University of Oxford.
    8. Deininger, Klaus & Xia, Fang & Kilic, Talip & Moylan, Heather, 2021. "Investment Impacts of Gendered Land Rights in Customary Tenure Systems: Substantive and Methodological Insights from Malawi," 2021 Conference, August 17-31, 2021, Virtual 315327, International Association of Agricultural Economists.
    9. Markus Brueckner & Haiyan Lin, 2021. "Inequality and Growth in China," ANU Working Papers in Economics and Econometrics 2021-682, Australian National University, College of Business and Economics, School of Economics.
    10. Kerwin, Jason Theodore & Thornton, Rebecca, 2020. "Making the Grade: The Sensitivity of Education Program Effectiveness to Input Choices and Outcome Measures," SocArXiv ct9sj, Center for Open Science.
    11. Graafland, Johan, 2023. "Economic freedom and life satisfaction: A moderated mediation model with individual autonomy and national culture," European Journal of Political Economy, Elsevier, vol. 79(C).
    12. Mehmood, Sultan & Seror, Avner, 2023. "Religious leaders and rule of law," Journal of Development Economics, Elsevier, vol. 160(C).
    13. Irsova, Zuzana & Bom, Pedro Ricardo Duarte & Havranek, Tomas & Rachinger, Heiko, 2023. "Spurious Precision in Meta-Analysis," MetaArXiv 3qp2w, Center for Open Science.
    14. González, Felipe, 2020. "Collective action in networks: Evidence from the Chilean student movement," Journal of Public Economics, Elsevier, vol. 188(C).
    15. Gaurav Dhamija & Gitanjali Sen, 2022. "Lasting Impact on Health from Natural Disasters, Potential Mechanisms and Mitigating Effects," Working Papers 2022-03, Shiv Nadar University, Department of Economics.
    16. Cabrera, José María & Caffera, Marcelo & Cid, Alejandro, 2021. "Modest and incomplete incentives may work: Pricing plastic bags in Uruguay," Journal of Environmental Economics and Management, Elsevier, vol. 110(C).
    17. Nguyen, Thanh-Tung & Nguyen, Trung Thanh & Grote, Ulrike, 2020. "Multiple shocks and households' choice of coping strategies in rural Cambodia," Ecological Economics, Elsevier, vol. 167(C).
    18. Patricia Justino & Marinella Leone & Pierfrancesco Rolla & Monique Abimpaye & Caroline Dusabe & Diane Uwamahoro & Richard Germond, 2020. "Improving parenting practices for early child development: Experimental evidence from Rwanda," WIDER Working Paper Series wp-2020-72, World Institute for Development Economic Research (UNU-WIDER).
    19. Yuanyuan Chen & Wei Fu, 2023. "Migration control policy and parent–child separation among migrant families: evidence from China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(4), pages 2347-2388, October.
    20. Nathan Deutscher, 2020. "What Drives Second Generation Success? The Roles Of Education, Culture, And Context," Economic Inquiry, Western Economic Association International, vol. 58(4), pages 1707-1730, October.
    21. van Horen, Neeltje & Kotidis, Antonios, 2018. "Repo market functioning: The role of capital regulation," CEPR Discussion Papers 13090, C.E.P.R. Discussion Papers.
    22. David Powell, 2025. "Understanding the demographics of the opioid overdose death crisis," Journal of Population Economics, Springer;European Society for Population Economics, vol. 38(3), pages 1-31, September.
    23. Haddad, Joanne & Kattan, Lamis, 2024. "Female-Specific Labor Regulation and Employment: Historical Evidence from the United States," GLO Discussion Paper Series 1518, Global Labor Organization (GLO).
    24. Sutanuka Roy & Sudhir Gupta & Rabee Tourky, 2023. "The Impact of Long–Term Orientation Traits on Pandemic Fatigue Behavior: Evidence from the Columbian Exchange," Journal of Economic Growth, Springer, vol. 28(3), pages 397-438, September.
    25. Doko Tchatoka, Firmin & Wang, Wenjie, 2021. "Size-corrected Bootstrap Test after Pretesting for Exogeneity with Heteroskedastic or Clustered Data," MPRA Paper 110899, University Library of Munich, Germany.
    26. William B. Hankins & Anna-Leigh Stone & Gary Hoover, 2024. "Revisiting the effect of bank deregulation on income inequality," Empirical Economics, Springer, vol. 66(6), pages 2625-2657, June.
    27. Böhm, Hannes & Eichler, Stefan, 2020. "Avoiding the fall into the loop: Isolating the transmission of bank-to-sovereign distress in the Euro Area," Journal of Financial Stability, Elsevier, vol. 51(C).
    28. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2024. "Cluster-Robust Jackknife and Bootstrap Inference for Binary Response Models," Working Paper 1515, Economics Department, Queen's University.
    29. Seres, Gyula & Balleyer, Anna & Cerutti, Nicola & Friedrichsen, Jana & Süer, Müge, 2021. "Face Mask Use and Physical Distancing Before and After Mandatory Masking: No Evidence on Risk Compensation in Public Waiting Lines," Rationality and Competition Discussion Paper Series 300, CRC TRR 190 Rationality and Competition.
    30. Anna Tafidou & Evgenia Lialia & Angelos Prentzas & Asimina Kouriati & Eleni Dimitriadou & Christina Moulogianni & Thomas Bournaris, 2023. "Land Diversification and Its Contribution to Farms’ Income," Land, MDPI, vol. 12(4), pages 1-12, April.
    31. Tersoo David Iorngurum, 2025. "The exchange rate pass‐through to domestic prices: A meta‐analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 39(3), pages 1092-1124, July.
    32. Görlitz, Katja & Sels, Tim, 2025. "Gender Differences in Performance Evaluations," IZA Discussion Papers 17877, Institute of Labor Economics (IZA).
    33. Exbrayat, Nelly & Stephane, Victor, 2025. "Does urbanization cause crime? Evidence from rural–urban migration in South Africa," Journal of Urban Economics, Elsevier, vol. 149(C).
    34. Mara Barschkett, 2022. "Age-specific Effects of Early Daycare on Children's Health," Discussion Papers of DIW Berlin 2028, DIW Berlin, German Institute for Economic Research.
    35. Ozturk, Orgul & Frongillo, Edward & Blake, Christine & Turner-McGrievy, Gabrielle, 2019. "Before the Lunch Line: Effectiveness of Behavioral Economic Interventions for Pre-Commitment on Elementary School Children’s Food Choices," MPRA Paper 98633, University Library of Munich, Germany.
    36. Wissmann, Daniel, 2020. "Finally a Smoking Gun," Discussion Papers in Economics 73026, University of Munich, Department of Economics.
    37. John Cawley & David Frisvold & David Jones, 2020. "The impact of sugar‐sweetened beverage taxes on purchases: Evidence from four city‐level taxes in the United States," Health Economics, John Wiley & Sons, Ltd., vol. 29(10), pages 1289-1306, October.
    38. James G. MacKinnon, 2021. "Fast cluster bootstrap methods for linear regression models," Working Paper 1465, Economics Department, Queen's University.
    39. Jacqueline Doremus, 2018. "Unintended Impacts from Forest Certification: Evidence from Indigenous Aka Households in Congo," Working Papers 1804, California Polytechnic State University, Department of Economics.
    40. Jeremy Edwards & Sheilagh Ogilvie, 2022. "The Black Death and the origin of the European marriage pattern," Oxford Economic and Social History Working Papers _204, University of Oxford, Department of Economics.
    41. Marius Mehrl & Paul W. Thurner, 2020. "Military Technology and Human Loss in Intrastate Conflict: The Conditional Impact of Arms Imports," Journal of Conflict Resolution, Peace Science Society (International), vol. 64(6), pages 1172-1196, July.
    42. Cotofan, Maria & Dur, Robert & Meier, Stephan, 2024. "Does growing up in economic hard times increase compassion? The case of attitudes towards immigration," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 245-262.
    43. Dorner, Matthias & Görlitz, Katja, 2020. "Training, wages and a missing school graduation cohort," Ruhr Economic Papers 858, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    44. Zuzana Irsova & Hristos Doucouliagos & Tomas Havranek & T. D. Stanley, 2024. "Meta‐analysis of social science research: A practitioner's guide," Journal of Economic Surveys, Wiley Blackwell, vol. 38(5), pages 1547-1566, December.
    45. Roodman, David, 2023. "Schooling and Labor Market Consequences of School Construction in Indonesia: Comment," I4R Discussion Paper Series 15, The Institute for Replication (I4R).
    46. Maclean, Johanna Catherine & Pabilonia, Sabrina Wulff, 2025. "The effects of state paid sick leave mandates on parental childcare time," Journal of Health Economics, Elsevier, vol. 103(C).
    47. Sultan Mehmood, 2021. "The impact of Presidential appointment of judges: Montesquieu or the Federalists?," Working Papers halshs-03161933, HAL.
    48. Bahar, Dany & Ibáñez, Ana María & Rozo, Sandra V., 2021. "Give me your tired and your poor: Impact of a large-scale amnesty program for undocumented refugees," Journal of Development Economics, Elsevier, vol. 151(C).
    49. Bach, Maximilian & Fischer, Mira, 2020. "Understanding the response to high-stakes incentives in primary education," ZEW Discussion Papers 20-066, ZEW - Leibniz Centre for European Economic Research.
    50. Yang, Fanzheng & Hou, Lingling & Xia, Fang, 2024. "Intergenerational altruism, pessimism bias on tenure insecurity, and sustainable land use: Evidence from household grassland management in China," Ecological Economics, Elsevier, vol. 215(C).
    51. Huebener, Mathias & Pape, Astrid & Spieß, C. Katharina, 2019. "Parental Labour Supply Responses to the Abolition of Day Care Fees," IZA Discussion Papers 12780, Institute of Labor Economics (IZA).
    52. Amorim,Vivian & Caio Piza & Lautharte Jr.,Ildo José, 2024. "Learning When Schools Shutdown : Impacts of H1N1 Outbreak on Learning Loss and Learning Gaps," Policy Research Working Paper Series 10879, The World Bank.
    53. Markus Leibrecht & Christian Bellak, 2023. "Investment policy reform as a driver of foreign direct investment: Evidence from China," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(4), pages 1035-1053, October.
    54. Stephane, Victor, 2021. "Hiding behind the veil of ashes: Social capital in the wake of natural disasters," World Development, Elsevier, vol. 145(C).
    55. Luca Braghieri & Ro'ee Levy & Alexey Makarin, 2022. "Social Media and Mental Health," CESifo Working Paper Series 9723, CESifo.
    56. Caroline Graf & Andreas Pondorfer & Jonathan Schulz, 2025. "Culture and gender differences in honesty," Munich Papers in Political Economy 45, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
    57. Lepori, Gabriele M., 2023. "Acute illness symptoms among investment professionals and stock market dynamics: Evidence from New York City," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 165-181.
    58. Todd Morris & Benoit Dostie, 2023. "Graying and staying on the job: The welfare implications of employment protection for older workers," CIRANO Working Papers 2023s-20, CIRANO.
    59. Haseeb, Muhammad & Vyborny, Kate, 2022. "Data, discretion and institutional capacity: Evidence from cash transfers in Pakistan," Journal of Public Economics, Elsevier, vol. 206(C).
    60. Sarah Janzen & Nicholas Magnan & Conner Mullally & Soye Shin & I. Bailey Palmer & Judith Oduol & Karl Hughes, 2021. "Can Experiential Games and Improved Risk Coverage Raise Demand for Index Insurance? Evidence from Kenya," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 338-361, January.
    61. Gillingham, Kenneth & Huang, Pei, 2021. "Racial disparities in the health effects from air pollution: Evidence from ports," ZEW Discussion Papers 21-058, ZEW - Leibniz Centre for European Economic Research.
    62. Meinhofer, Angélica & Witman, Allison E. & Hinde, Jesse M. & Simon, Kosali, 2021. "Marijuana liberalization policies and perinatal health," Journal of Health Economics, Elsevier, vol. 80(C).
    63. Fang, Ximeng & Freyer, Timo & Ho, Chui-Yee & Chen, Zihua & Goette, Lorenz, 2022. "Prosociality predicts individual behavior and collective outcomes in the COVID-19 pandemic," Social Science & Medicine, Elsevier, vol. 308(C).
    64. Yuan Gao & Rigoberto A. Lopez & Ruili Liao & Xiaoou Liu, 2022. "Is no news bad news? The impact of disclosing COVID‐19 tracing information on consumer dine out decisions," Agricultural Economics, International Association of Agricultural Economists, vol. 53(5), pages 811-825, September.
    65. Sarracino, Francesco & Greyling, Talita & O'Connor, Kelsey J. & Peroni, Chiara & Rossouw, Stephanié, 2022. "Trust Predicts Compliance with COVID-19 Containment Policies: Evidence from Ten Countries Using Big Data," IZA Discussion Papers 15171, Institute of Labor Economics (IZA).
    66. Abdulmohsen Almuhaisen, 2024. "Refugee influx and school enrollment among native youths in Jordan," Journal of Population Economics, Springer;European Society for Population Economics, vol. 37(1), pages 1-28, March.
    67. Laura Arnemann & Kai A Konrad & Niklas Potrafke, 2021. "Collective memories on the 2010 European debt crisis," European Union Politics, , vol. 22(4), pages 762-784, December.
    68. Matthias Sutter & Michael Weyland & Anna Untertrifaller & Manuel Froitzheim & Sebastian O. Schneider, 2020. "Financial literacy, risk and time preferences – Results from a randomized educational intervention," Discussion Paper Series of the Max Planck Institute for Behavioral Economics 2023_03, Max Planck Institute for Behavioral Economics.
    69. Sultan Mehmood, 2020. "Judicial Independence and Development: Evidence from Pakistan," AMSE Working Papers 2041, Aix-Marseille School of Economics, France.
    70. Bharati, Tushar & Chang, Simon & Li, Qing, 2023. "Does tertiary education expansion affect the fertility of women past the college-entry age?," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 1029-1055.
    71. Stanton, Christopher T. & Sandvik, Jason & Saouma, Richard & Seegert, Nathan, 2020. "Workplace Knowledge Flows," CEPR Discussion Papers 14299, C.E.P.R. Discussion Papers.
    72. Fone, Zachary S. & Friedson, Andrew I. & Lipton, Brandy & Sabia, Joseph J., 2020. "The Dependent Coverage Mandate Took a Bite Out of Crime," IZA Discussion Papers 12968, Institute of Labor Economics (IZA).
    73. Jeremy Edwards, 2021. "Can Institutional Transplants Work? A Reassessment of the Evidence from Nineteenth-Century Prussia," CESifo Working Paper Series 9333, CESifo.
    74. Bellak, Christian & Leibrecht, Markus & Chaisse, Julien, 2022. "Reforming International Investment Agreements: The Case of China and Foreign Direct Investment," Department of Economics Working Paper Series 328, WU Vienna University of Economics and Business.
    75. Ampofo, Akwasi & Cheng, Terence C. & Doko Tchatoka, Firmin, 2022. "Oil extraction and spillover effects into local labour market: Evidence from Ghana," Energy Economics, Elsevier, vol. 106(C).
    76. Anton Barabasch & Kamila Cygan-Rehm & Andreas Leibing, 2025. "Timing of School Entry and Personality Traits in Adulthood," CESifo Working Paper Series 12273, CESifo.
    77. Federico Barbiellini & Matteo Gomellini & Lorenzon Incoronato & Paolo Piselli, 2020. "The Age-Productivity Profile:Long-Run Evidence from Italian Regions," RFBerlin Discussion Paper Series 2019, ROCKWOOL Foundation Berlin (RFBerlin).
    78. Matthias Sutter & Michael Weyland & Anna Untertrifaller & Manuel Froitzheim & Sebastian O. Schneider, 2023. "Financial Literacy, Experimental Preference Measures and Field Behavior – A Randomized Educational Intervention," ECONtribute Discussion Papers Series 229, University of Bonn and University of Cologne, Germany.
    79. Nicolás Francisco Abbate, 2021. "Participación Laboral Femenina y Pre-escolaridad: el impacto de la obligatoriedad de la Sala de 4 en el Trabajo de las Madres," Asociación Argentina de Economía Política: Working Papers 4430, Asociación Argentina de Economía Política.
    80. Bargain, Olivier & Boutin, Delphine & Champeaux, Hugues, 2019. "Women's political participation and intrahousehold empowerment: Evidence from the Egyptian Arab Spring," Journal of Development Economics, Elsevier, vol. 141(C).
    81. David Roodman, 2024. "Julia as a universal platform for statistical software development," Papers 2404.09309, arXiv.org, revised May 2025.
    82. Kamyar Nasseh & John R. Bowblis, 2022. "The effect on dental care utilization from transitioning pediatric Medicaid beneficiaries to managed care," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 1103-1128, June.
    83. Johnsen, Åshild A. & Kvaløy, Ola, 2021. "Conspiracy against the public - An experiment on collusion11“People of the same trade seldom meet together, even for merriment and diversion, but the conversation ends in a conspiracy against the publ," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
    84. Sarah Papich, 2024. "Do Democracy Vouchers help democracy?," Contemporary Economic Policy, Western Economic Association International, vol. 42(1), pages 4-24, January.
    85. Lindo, Jason M. & Pineda-Torres, Mayra, 2021. "New Evidence on the Effects of Mandatory Waiting Periods for Abortion," Journal of Health Economics, Elsevier, vol. 80(C).
    86. Kristin Hestmann Vinjerui & Ingeborg Hess Elgersma & Atle Fretheim, 2021. "Increased COVID-19 Testing Rates Following Combined Door-to-Door and Mobile Testing Facility Campaigns in Oslo, Norway, a Difference-in-Difference Analysis," IJERPH, MDPI, vol. 18(21), pages 1-11, October.
    87. Brian Fabo & Martina Jancokova & Elisabeth Kempf & Lubos Pastor, 2020. "Fifty Shades of QE: Conflicts of Interest in Economic Research," Working and Discussion Papers WP 5/2020, Research Department, National Bank of Slovakia.
    88. Boerner, Lars & Rubin, Jared & Severgnini, Battista, 2021. "A time to print, a time to reform," European Economic Review, Elsevier, vol. 138(C).
    89. Mirko Draca & Jason Garred & Leanne Stickland & Nele Warrinnier, 2023. "On Target? Sanctions and the Economic Interests of Elite Policymakers in Iran," The Economic Journal, Royal Economic Society, vol. 133(649), pages 159-200.
    90. Ali ZEGGAGH & Serge GARCIA, 2025. "The hidden costs of drinking water rationing in water-stressed Mediterranean countries: Evidence from Algeria," Working Papers of BETA 2025-19, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    91. Haeckl, Simone, 2022. "Image concerns in ex-ante self-assessments–Gender differences and behavioral consequences," Labour Economics, Elsevier, vol. 76(C).
    92. Louis‐Philippe Beland & Abel Brodeur & Derek Mikola & Taylor Wright, 2022. "The short‐term economic consequences of COVID‐19: Occupation tasks and mental health in Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 214-247, February.
    93. Doko Tchatoka, Firmin & Wang, Wenjie, 2025. "Identification-Robust Two-Stage Bootstrap Tests with Pretesting for Exogeneity," MPRA Paper 125017, University Library of Munich, Germany.
    94. Rik Chakraborti & Gavin Roberts, 2023. "How price-gouging regulation undermined COVID-19 mitigation: county-level evidence of unintended consequences," Public Choice, Springer, vol. 196(1), pages 51-83, July.
    95. Elizabeth Brainerd & Olga Malkova, 2023. "Maternity benefits and marital stability after birth: evidence from the Soviet Baltic republics," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(4), pages 2309-2345, October.
    96. Isaac Mbiti & Danila Serra, 2022. "Health workers’ behavior, patient reporting and reputational concerns: lab-in-the-field experimental evidence from Kenya," Experimental Economics, Springer;Economic Science Association, vol. 25(2), pages 514-556, April.
    97. Kengo IGEI & Hirofumi KUROKAWA & Masato ISEKI & Akinori KITSUKI & Kenichi KURITA & Shunsuke MANAGI & Makiko NAKAMURO & Akira SAKANO, 2022. "Nudges to Increase the Effectiveness of Environmental Education: New evidence from a field experiment," Discussion papers 22111, Research Institute of Economy, Trade and Industry (RIETI).
    98. Doko Tchatoka, Firmin & Wang, Wenjie, 2024. "Weak-Identification-Robust Bootstrap Tests after Pretesting for Exogeneity," MPRA Paper 123060, University Library of Munich, Germany.
    99. Louis, Philippos & Núñez, Matías & Xefteris, Dimitrios, 2023. "Trimming extreme reports in preference aggregation," Games and Economic Behavior, Elsevier, vol. 137(C), pages 116-151.
    100. Bommer, Christian & Dreher, Axel & Perez-Alvarez, Marcello, 2022. "Home bias in humanitarian aid: The role of regional favoritism in the allocation of international disaster relief," Journal of Public Economics, Elsevier, vol. 208(C).
    101. Mathilda Eriksson & Alejandro del Valle & Alejandro de la Fuente, 2025. "Droughts worsen air quality and health by shifting power generation," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
    102. Kai Barron & Charles D.H. Parry & Debbie Bradshaw & Rob Dorrington & Pam Groenewald & Ria Laubscher & Richard Matzopoulos, 2022. "Alcohol, Violence and Injury-Induced Mortality: Evidence from a Modern-Day Prohibition," CESifo Working Paper Series 9595, CESifo.
    103. Seres, Gyula & Balleyer, Anna & Cerutti, Nicola & Friedrichsen, Jana & Süer, Müge, 2020. "Face mask use and physical distancing before and after mandatory masking: Evidence from public waiting lines," Discussion Papers, Research Unit: Economics of Change SP II 2020-305, WZB Berlin Social Science Center.
    104. Liyousew Gebremedhin Borga, 2023. "Family policy, intrahousehold bargaining, and child health," Review of Development Economics, Wiley Blackwell, vol. 27(2), pages 663-684, May.
    105. Dupuy, Jules & Barnay, Thomas & Defebvre, Eric, 2024. "Clear as a bell? Policy stringency and elderly health during Covid-19," Social Science & Medicine, Elsevier, vol. 349(C).
    106. Richard Murphy, 2019. "Why Unions Survive: Understanding How Unions Overcome The Free-Rider Problem," NBER Working Papers 25924, National Bureau of Economic Research, Inc.
    107. Borbely, Daniel & Norris, Jonathan & Romiti, Agnese, 2021. "Peer Gender and Schooling: Evidence from Ethiopia," IZA Discussion Papers 14439, Institute of Labor Economics (IZA).
    108. Hirofumi KUROKAWA & Kengo IGEI & Akinori KITSUKI & Kenichi KURITA & Shunsuke MANAGI & Makiko NAKAMURO & Akira SAKANO, 2022. "Nudges to Increase the Effectiveness of Environmental Education," Discussion papers 22047, Research Institute of Economy, Trade and Industry (RIETI).
    109. Elisabeth Grewenig, 2021. "School Track Decisions and Teacher Recommendations: Evidence from German State Reforms," ifo Working Paper Series 353, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    110. Dorner, Matthias & Görlitz, Katja & Jahn, Elke J., 2024. "The impact of a missing school graduation cohort on the training market," Economics of Education Review, Elsevier, vol. 103(C).
    111. Blanchard, Pablo & Burdin, Gabriel & Dean, Andres, 2025. "Property Rights, Sick Pay and Effort Supply," IZA Discussion Papers 17811, Institute of Labor Economics (IZA).
    112. Alexandra Ferreira‐Lopes & Pedro Linhares & Luís Filipe Martins & Tiago Neves Sequeira, 2022. "Quantitative easing and economic growth in Japan: A meta‐analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 235-268, February.
    113. Comola, Margherita & Prina, Silvia, 2023. "The Interplay among Savings Accounts and Network-Based Financial Arrangements: Evidence from a Field Experiment," IZA Discussion Papers 16303, Institute of Labor Economics (IZA).
    114. Gerling, Lena & Kellermann, Kim Leonie, 2019. "The impact of election information shocks on populist party preferences: Evidence from Germany," CIW Discussion Papers 3/2019, University of Münster, Center for Interdisciplinary Economics (CIW).
    115. Andres Irarrazaval, 2022. "The Fiscal Origins of Comparative Inequality levels: An Empirical and Historical Investigation," Working Papers wp531, University of Chile, Department of Economics.
    116. Christopher S. Carpenter & Gilbert Gonzales & Tara McKay & Dario Sansone, 2020. "Effects of the Affordable Care Act Dependent Coverage Mandate on Health Insurance Coverage for Individuals in Same-Sex Couples," Papers 2004.02296, arXiv.org.
    117. Francesco Sarracino & Talita Greyling & Kelsey J. O'Connor & Chiara Peroni & Stephanie Rossouw, 2021. "Trust predicts compliance to Covid-19 containment policies: evidence from ten countries using big data," Department of Economics University of Siena 858, Department of Economics, University of Siena.
    118. Mohamed Saleh & Jean Tirole, 2021. "Taxing Identity: Theory and Evidence From Early Islam," Econometrica, Econometric Society, vol. 89(4), pages 1881-1919, July.
    119. Ciprian Domnisoru, 2021. "Heterogeneity across Families in the Impact of Compulsory Schooling Laws," Economica, London School of Economics and Political Science, vol. 88(350), pages 399-429, April.
    120. Nancy Luke & Kaivan Munshi & Anu Oommen & Swapnil Singh, 2021. "Economic Development, the Nutrition Trap and Metabolic Disease," NBER Working Papers 29132, National Bureau of Economic Research, Inc.
    121. Geddes, Eilidh & Holz, Nicole, 2025. "Rational eviction: How landlords use evictions in response to rent control," Journal of Housing Economics, Elsevier, vol. 68(C).
    122. Duque, Valentina & Gilraine, Michael, 2022. "Coal use, air pollution, and student performance," Journal of Public Economics, Elsevier, vol. 213(C).
    123. Chad D. Cotti & Charles J. Courtemanche & Yang Liang & Johanna Catherine Maclean & Erik T. Nesson & Joseph J. Sabia, 2024. "The Effect of E-Cigarette Flavor Bans on Tobacco Use," Working Papers 114, Wake Forest University, Economics Department.
    124. Maria Cotofan & Lea Cassar & Robert Dur & Stephan Meijer, 2021. "Macroeconomic Conditions When Young Shape Job Preferences for Life," Tinbergen Institute Discussion Papers 21-002/VII, Tinbergen Institute.
    125. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference," Working Paper 1485, Economics Department, Queen's University.
    126. Eriksson,Mathilda & del Valle,Alejandro & De La Fuente,Alejandro, 2024. "Droughts Worsen Air Quality by Shifting Power Generation in Latin America and the Caribbean," Policy Research Working Paper Series 10760, The World Bank.
    127. Ngoc Dao, 2024. "Does a requirement to offer retirement plans help low‐income workers save for retirement? Early evidence from the OregonSaves program," Contemporary Economic Policy, Western Economic Association International, vol. 42(3), pages 524-543, July.
    128. Gabriel Fuentes Cordoba, 2021. "Growing up in a civil war and political participation: Evidence from Guatemala," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 29(2), pages 197-225, April.
    129. Wang, Wenjie & Zhang, Yichong, 2024. "Wild bootstrap inference for instrumental variables regressions with weak and few clusters," Journal of Econometrics, Elsevier, vol. 241(1).
    130. Papagni, Erasmo & Baraldi, Anna Laura & Alfano, Maria Rosaria, 2023. "Ballot structure and political selection. Evidence from changes in electoral rules," Journal of Comparative Economics, Elsevier, vol. 51(1), pages 324-347.
    131. Giulia Malevolti & Donato Romano, 2023. "Poverty dynamics and poverty traps among refugee and host communities in Uganda," Working Papers - Economics wp2023_04.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    132. Han Jiang & Qing Zhou & Chuan Hu & Meng Tian, 2025. "Carbon emission trading scheme and university technology transfer: does innovation quantity or quality matter?," The Journal of Technology Transfer, Springer, vol. 50(4), pages 1709-1738, August.
    133. Philippos Louis & Matias Nunez & Dimitrios Xefteris, 2021. "The Virtuous Cycle of Agreement," Post-Print halshs-03324190, HAL.
    134. Hoehn-Velasco, Lauren & Huang, Yu-Ting & Yusuff, Olanrewaju, 2025. "Public Payment Mandates and Provider Supply," IZA Discussion Papers 18149, Institute of Labor Economics (IZA).
    135. Obergruber, Natalie & Zierow, Larissa, 2020. "Students’ behavioural responses to a fallback option - Evidence from introducing interim degrees in german schools," Economics of Education Review, Elsevier, vol. 75(C).
    136. Clarke, Damian & Tapia Schythe, Kathya, 2020. "Implementing the Panel Event Study," MPRA Paper 101669, University Library of Munich, Germany.
    137. Bruno Bises & Francesco Bloise & Antonio Scialà, 2024. "Labor share as an "automatic stabilizer" of income inequality," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 31(2), pages 511-532, April.
    138. Taisuke Kameda & Ryoichi Namba & Takayuki Tsuruga, 2019. "Decomposing Local Fiscal Multipliers: Evidence from Japan," ISER Discussion Paper 1065, Institute of Social and Economic Research, The University of Osaka.
    139. Laetitia Lebihan, 2023. "The impact of a mandatory universal drug insurance program on health behaviors and outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 32(9), pages 2006-2046, September.
    140. Demont, Timothée, 2022. "Coping with shocks: How Self-Help Groups impact food security and seasonal migration," World Development, Elsevier, vol. 155(C).
    141. Friedman, Daniel & Zhao, Shuchen, 2021. "When are mixed equilibria relevant?," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 51-65.
    142. Wu, Xihao & Shen, Yuezhe & Sun, Yani, 2024. "Can the registration system reform improve the disclosure quality?——Evidence from the ChiNext board," Journal of Contemporary Accounting and Economics, Elsevier, vol. 20(2).
    143. Bezu, Sosina & Binyaruka, Peter & Mæstad, Ottar & Somville, Vincent, 2021. "Pay-for-performance reduces bypassing of health facilities: Evidence from Tanzania," Social Science & Medicine, Elsevier, vol. 268(C).
    144. Picchio, Matteo & Santolini, Raffaella, 2021. "The COVID-19 Pandemic’s Effects on Voter Turnout," GLO Discussion Paper Series 812, Global Labor Organization (GLO).
    145. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2020. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," CREATES Research Papers 2020-06, Department of Economics and Business Economics, Aarhus University.
    146. Aldunate, Felipe & Jenter, Dirk & Korteweg, Arthur & Koudijs, Peter, 2021. "Shareholder liability and bank failure," LSE Research Online Documents on Economics 118863, London School of Economics and Political Science, LSE Library.
    147. Michela Giorcelli & Nicola Lacetera & Astrid Marinoni, 2022. "How does scientific progress affect cultural changes? A digital text analysis," Journal of Economic Growth, Springer, vol. 27(3), pages 415-452, September.
    148. Masato Oikawa & Koichiro Onishi, 2025. "Impact of financial support expansion on restaurant entries and exits during the COVID-19 pandemic," Small Business Economics, Springer, vol. 64(2), pages 645-689, February.
    149. Basistha, Ahana & Dhillon, Amrita & Chaudhuri, Arka Roy, 2024. "Elections and Rural Road Construction: Evidence from India," CAGE Online Working Paper Series 712, Competitive Advantage in the Global Economy (CAGE).
    150. Senay Topal & Patrick Richard & John Young & Anuradha Ganesan & Todd Gleeson & Jason Blaylock & Jason F. Okulicz & Xiuping Chu & Brian K. Agan, 2024. "Mandated checkups, knowledge of own health status, and chronic care utilization: The effect of HIV medical evaluation mandates on healthcare quality and expenditure in a US‐single payer system," Health Economics, John Wiley & Sons, Ltd., vol. 33(1), pages 59-81, January.
    151. Isabel Martinez, 2021. "Beggar-Thy-Neighbour Tax Cuts: Mobility After a Local Income and Wealth Tax Reform in Switzerland," KOF Working papers 21-490, KOF Swiss Economic Institute, ETH Zurich.
    152. Jun Yeong Lee & John V. Winters, 2022. "State Medicaid Expansion and the Self-Employed," Small Business Economics, Springer, vol. 59(3), pages 925-954, October.
    153. McCarthy, Aine Seitz & Krause, Brooke, 2024. "Age and Agency: Evidence from a Women’s Empowerment Program in Tanzania," World Development, Elsevier, vol. 178(C).
    154. Shi, Xinjie & Huangfu, Bingyu & Jin, Songqing & Gao, Xuwen, 2024. "Property rights, labor reallocation, and gender inequality in rural China," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 325-342.
    155. Antoine A. Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2019. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," CREATES Research Papers 2019-05, Department of Economics and Business Economics, Aarhus University.
    156. Trong-Anh, TRINH & Simon FEENY & Alberto POSSO, 2021. "The Impact of Natural Disasters on Migration: Findings from Vietnam," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 87(3), pages 479-510, September.
    157. Maria Cotofan & Robert Dur & Stephan Meier, 2021. "Does growing up in a recession increase compassion? The case of attitudes towards immigration," CEP Discussion Papers dp1757, Centre for Economic Performance, LSE.
    158. Schwerter, Jakob & Netz, Nicolai & Hübner, Nicolas, 2024. "Does instructional time at school influence study time at university? Evidence from an instructional time reform," Economics of Education Review, Elsevier, vol. 100(C).
    159. Backhaus, Andreas, 2022. "International travel in times of the COVID-19 pandemic: The case of German school breaks," Economics & Human Biology, Elsevier, vol. 44(C).
    160. Sultan Mehmood, 2020. "Judicial Independence and Development: Evidence from Pakistan," Working Papers halshs-03054106, HAL.
    161. Deck, Cary & Howe, E. Lance & Reimer, Matthew & Alevy, Jonathan & Borash, Kyle, 2021. "Contests for shares of an uncertain resource," Journal of Environmental Economics and Management, Elsevier, vol. 107(C).
    162. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2022. "Cluster-Robust Inference: A Guide to Empirical Practice," Papers 2205.03285, arXiv.org.
    163. Kelly Chen & Lars Osberg & Shelley Phipps, 2019. "Unequal opportunities and public policy: The impact of parental disability benefits on child postsecondary attendance," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 52(4), pages 1401-1432, November.
    164. Michael Amior & Alan Manning, 2020. "Monopsony and the wage effects of migration," CEP Discussion Papers dp1690, Centre for Economic Performance, LSE.
    165. Cotofan, Maria, 2021. "Learning from praise: Evidence from a field experiment with teachers," Journal of Public Economics, Elsevier, vol. 204(C).
    166. Francesco Fasani & Tommaso Frattini & Luigi Minale, 2020. "Lift the Ban? Initial Employment Restrictions and Refugee Labour Market Outcomes," Development Working Papers 462, Centro Studi Luca d'Agliano, University of Milano.
    167. Darwin Cortes & Catalina Gómez & Christian Posso & Gabriel Suarez, 2023. "Hunting Militias at All Cost: Urban Military Operation and Birth Outcomes," Documentos de Trabajo 20935, Universidad del Rosario.
    168. Kortelainen, Mika & Markkanen, Jaakko & Siikanen, Markku & Toivanen, Otto, 2023. "The Effects of Price Regulation on Pharmaceutical Expenditure and Availability," Working Papers 157, VATT Institute for Economic Research.
    169. Jean-Jacques Forneron, 2022. "Estimation and Inference by Stochastic Optimization," Papers 2205.03254, arXiv.org.
    170. John Cawley & David Frisvold & David Jones, 2019. "The Impact of Sugar-Sweetened Beverage Taxes on Purchases: Evidence from Four City-Level Taxes in the U.S," NBER Working Papers 26393, National Bureau of Economic Research, Inc.
    171. Chessa, Michela & Hanaki, Nobuyuki & Lardon, Aymeric & Yamada, Takashi, 2022. "The effect of choosing a proposer through a bidding procedure in implementing the Shapley value," Journal of Economic Psychology, Elsevier, vol. 93(C).
    172. Boxell, Levi, 2019. "Droughts, conflict, and the African slave trade," Journal of Comparative Economics, Elsevier, vol. 47(4), pages 774-791.
    173. Alexander Cardazzi & Brad Humphreys & Jane E. Ruseski & Brian P. Soebbing & Nicholas Watanabe, 2020. "Professional Sporting Events Increase Seasonal Influenza Mortality in US Cities," Working Papers 20-08, Department of Economics, West Virginia University.
    174. Pantelis Kammas & Vassilis Sarantides, 2025. "“Votes for Women” on the edge of urbanization," Journal of Population Economics, Springer;European Society for Population Economics, vol. 38(1), pages 1-35, March.
    175. Laura Alfaro & Cathy Bao & Maggie X. Chen & Junjie Hong & Claudia Steinwender, 2022. "Omnia Juncta in Uno*: foreign powers and trademark protection in Shanghai's concession era," CEP Discussion Papers dp1827, Centre for Economic Performance, LSE.
    176. Hong, Justin Jihao & Lyu, Yuhan, 2025. "Not always a Panacea: History education and identity-building in Taiwan," Journal of Economic Behavior & Organization, Elsevier, vol. 229(C).
    177. Irena Grosfeld & Etienne Madinier & Seyhun Orcan Sakalli & Ekaterina Zhuravskaya, 2023. "Independent Media, Propaganda, and Religiosity: Evidence from Poland ," PSE Working Papers halshs-04316083, HAL.
    178. Choi, Eleanor Jawon & Choi, Jaewoo & Son, Hyelim, 2020. "The long-term effects of labor market entry in a recession: Evidence from the Asian financial crisis," Labour Economics, Elsevier, vol. 67(C).
    179. Anderson, D. Mark & Charles, Kerwin Kofi & Karbownik, Krzysztof & Rees, Daniel I. & Steffens, Camila, 2024. "Civil rights protests and election outcomes: Exploring the effects of the Poor People's Campaign," ZEW Discussion Papers 24-059, ZEW - Leibniz Centre for European Economic Research.
    180. Liang, Yuan & Wang, Donggen, 2025. "Is fare-free public transport effective in improving air quality? Evidence from Fuzhou, China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 196(C).
    181. Zhang, Yi & Liu, Chun, 2021. "Religion and unproductive entrepreneurship: The role of risk aversion," European Journal of Political Economy, Elsevier, vol. 70(C).
    182. Bartlett, Robert P. & McCrary, Justin, 2019. "How rigged are stock markets? Evidence from microsecond timestamps," Journal of Financial Markets, Elsevier, vol. 45(C), pages 37-60.
    183. Gallo, Giovanni & Ubaldi, Michele, 2025. "Sweets for my sweet: The impact of partner unemployment on individual physical health," GLO Discussion Paper Series 1638, Global Labor Organization (GLO).
    184. Atalay, Kadir & Edwards, Rebecca & Schurer, Stefanie & Ubilava, David, 2020. "Lives Saved during Economic Downturns: Evidence from Australia," IZA Discussion Papers 13742, Institute of Labor Economics (IZA).
    185. Lukas Delgado-Prieto, 2024. "Immigration, wages, and employment under informal labor markets," Journal of Population Economics, Springer;European Society for Population Economics, vol. 37(2), pages 1-34, June.
    186. Crescenzi, Riccardo & Di Cataldo, Marco & Giua, Mara, 2020. "It’s not about the money. EU funds, local opportunities, and Euroscepticism," Regional Science and Urban Economics, Elsevier, vol. 84(C).
    187. Forneron, Jean-Jacques, 2024. "Estimation and inference by stochastic optimization," Journal of Econometrics, Elsevier, vol. 238(2).
    188. Buenstorf, Guido & Koenig, Johannes, 2020. "Interrelated funding streams in a multi-funder university system: Evidence from the German Exzellenzinitiative," Research Policy, Elsevier, vol. 49(3).
    189. AndrÉ van Hoorn, 2022. "Automatability of Work and Preferences for Redistribution," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(1), pages 130-157, February.
    190. Toke S. Aidt & Romola J. Davenport & Felix Gray, 2023. "New perspectives on the contribution of sanitary investments to mortality decline in English cities, 1845–1909," Economic History Review, Economic History Society, vol. 76(2), pages 624-660, May.
    191. Gagnon, Nickolas, 2024. "On your own side of the fence," Journal of Economic Behavior & Organization, Elsevier, vol. 226(C).
    192. Ana Beatriz D′Avó Luís & Mikyung Kelly Seo, 2021. "Has the development of cancer biomarkers to guide treatment improved health outcomes?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(5), pages 789-810, July.
    193. Sultan Mehmood, 2021. "The impact of Presidential appointment of judges: Montesquieu or the Federalists?," AMSE Working Papers 2118, Aix-Marseille School of Economics, France.
    194. Belmonte, Alessandro & Ticchi, Davide & Ubaldi, Michele, 2025. "Re-exhuming the old hatchet: The effects of affirmative action policies on political preferences in post-apartheid South Africa," GLO Discussion Paper Series 1626, Global Labor Organization (GLO).
    195. Maggie Jones & Michael Barber, 2019. "Inequalities in Test Scores between Indigenous and Non-Indigenous Youth in Canada," Department Discussion Papers 1904, Department of Economics, University of Victoria.
    196. Dick Durevall, 2023. "Gender policy and intimate partner violence in Colombia," PLOS ONE, Public Library of Science, vol. 18(11), pages 1-22, November.
    197. Adnan M. S. Fakir & Tushar Bharati, 2021. "Healthy, nudged, and wise: Experimental evidence on the role of cost reminders in healthy decision-making," Economics Discussion / Working Papers 21-13, The University of Western Australia, Department of Economics.
    198. Bello, Piera, 2023. "Gender-based price discrimination in the annuity market: Evidence from Chile," European Economic Review, Elsevier, vol. 151(C).
    199. Kajisa, Kei & Vu, Trang Thu, 2023. "The importance of farm management training for the African rice Green Revolution: Experimental evidence from rainfed lowland areas in Mozambique," Food Policy, Elsevier, vol. 114(C).
    200. Wei Fu & Shin-Yi Chou & Li-San Wang, 2022. "NIH Grant Expansion, Ancestral Diversity and Scientific Discovery in Genomics Research," NBER Working Papers 30155, National Bureau of Economic Research, Inc.
    201. Cygan-Rehm, Kamila, 2024. "Lifetime Consequences of Lost Instructional Time in the Classroom: Evidence from Shortened School Years," IZA Discussion Papers 17253, Institute of Labor Economics (IZA).
    202. Li, Wenchao, 2023. "Gender of children and risky health behaviors: Evidence from China," Economic Modelling, Elsevier, vol. 119(C).
    203. Winters, John V. & Cai, Zhengyu & Maguire, Karen & Sengupta, Shruti, 2019. "Do Workers Benefit from Resource Booms in Their Home State? Evidence from the Fracking Era," IZA Discussion Papers 12619, Institute of Labor Economics (IZA).
    204. Shuying Wang & Yew‐Kwang Ng, 2024. "How antidumping measures affect US imports from China: A mesoeconomic perspective of the excess price changes," Pacific Economic Review, Wiley Blackwell, vol. 29(1), pages 127-156, February.
    205. Solórzano Diego & Dixon Huw, 2020. "The Relationship Between Nominal Wage and Price Flexibility: New Evidence," Working Papers 2020-20, Banco de México.
    206. Libman, Alexander & Stone, Randall W. & Vinokurov, Evgeny, 2022. "Russian power and the state-owned enterprise," European Journal of Political Economy, Elsevier, vol. 73(C).
    207. Maria Rosaria Alfano & Anna Laura Baraldi & Claudia Cantabene, 2023. "Eppur si muove: an evaluation of museum policy reform in Italy," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 47(1), pages 97-131, March.
    208. Laliberté, Jean-William, 2019. "Language skill acquisition in immigrant social networks: Evidence from Australia," Labour Economics, Elsevier, vol. 57(C), pages 35-45.
    209. Clarke, Damian & Torres, Nicolás Paris & Villena-Roldan, Benjamin, 2023. "(Frisch-Waugh-Lovell)' On the Estimation of Regression Models by Row," IZA Discussion Papers 16630, Institute of Labor Economics (IZA).
    210. Ampofo, Akwasi & Mabefam, Matthew Gmalifo, 2021. "Religiosity and Energy Poverty: Empirical evidence across countries," Energy Economics, Elsevier, vol. 102(C).
    211. Benjamin A. Jones & Shana McDermott, 2021. "The Local Labor Market Impacts of US Megafires," Sustainability, MDPI, vol. 13(16), pages 1-15, August.
    212. Bihua Zhou & Yun Huang & Hang Su & Jingshan Wang, 2025. "Mechanism conflicts: carbon reduction pathways and optimization in China’s Big Data Policy," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-15, December.
    213. Òscar Jordà & Alan M. Taylor, 2024. "Local Projections," Working Paper Series 2024-24, Federal Reserve Bank of San Francisco.
    214. Ahrens, Achim & Casalis, Marine & Hangartner, Dominik & Sánchez, Rodrigo, 2024. "Cash-based interventions improve multidimensional integration outcomes of Venezuelan immigrants," World Development, Elsevier, vol. 181(C).
    215. Yu Zheng & Honggang Fan, 2025. "Fast Cluster Bootstrap Methods for Spatial Error Models," Mathematics, MDPI, vol. 13(18), pages 1-16, September.
    216. Alexander Karaivanov & Dongwoo Kim & Shih En Lu & Hitoshi Shigeoka, 2021. "COVID-19 Vaccination Mandates and Vaccine Uptake," NBER Working Papers 29563, National Bureau of Economic Research, Inc.
    217. Rahi Abouk & Keshar M. Ghimire & Johanna Catherine Maclean & David Powell, 2023. "Pain Management and Work Capacity: Evidence From Workers’ Compensation and Marijuana Legalization," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(3), pages 737-770, June.
    218. Fayssal Ayad & Ahlam Delmadji, 2025. "Fifty shades of sustainable development: a global study," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(7), pages 16739-16771, July.
    219. Stephenson Strobel, 2024. "Effects of extending residencies on the supply and quality of family medicine practitioners; difference‐in‐differences evidence from the implementation of mandatory family medicine residencies in Cana," Health Economics, John Wiley & Sons, Ltd., vol. 33(3), pages 393-409, March.
    220. José Eduardo Castro Pérez & Daniel Flores, 2025. "Behavioral Responses to Environmental Emergency Alerts and Temporary Driving Restrictions: Evidence from Cyclists in Mexico City," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 88(6), pages 1719-1771, June.
    221. Martorano, Bruno & Metzger, Laura & Sanfilippo, Marco, 2020. "Chinese development assistance and household welfare in Sub-Saharan Africa," World Development, Elsevier, vol. 129(C).
    222. Arold, W. Benjamin & Woessmann, Ludger & Zierow, Larissa, 2022. "Can Schools Change Religious Attitudes? Evidence from German State Reforms of Compulsory Religious Education," IZA Discussion Papers 14989, Institute of Labor Economics (IZA).
    223. Navid Sabet & Christoph Winter, 2019. "Legal Status, Local Spending and Political Empowerment: The Distributional Consequences of the 1986 IRCA," CESifo Working Paper Series 7611, CESifo.
    224. Le Thanh Binh, 2023. "Effect of Peer Information and Peer Communication on Working Performance," Working Papers 202309, University of Hawaii at Manoa, Department of Economics.
    225. Alfano, Maria Rosaria & Baraldi, Anna Laura & Papagni, Erasmo, "undated". "Do Voters Choose Better Politicians than Political Parties? Evidence from a Natural Experiment in Italy," FACTS: Firms And Cities Towards Sustainability 308020, Fondazione Eni Enrico Mattei (FEEM) > FACTS: Firms And Cities Towards Sustainability.
    226. Xu, Shaofeng & Liu, Tao & Liu, Fengliang, 2024. "On the role of automation in an epidemic," Journal of Economic Dynamics and Control, Elsevier, vol. 160(C).
    227. Havlik, Annika, 2020. "Political budget cycles in European public procurement," ZEW Discussion Papers 20-069, ZEW - Leibniz Centre for European Economic Research.
    228. Bradley R. Weinberg, 2021. "‘til Dissolution Do Us Part: (Re)Assessing the First Contract and Trial Marriage Goals of First Contract Arbitration in Ontario," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 60(1), pages 119-144, January.
    229. Chigavazira, Abraham & Fisher, Hayley & Robinson, Tim & Zhu, Anna, 2019. "The Consequences of Extending Equitable Property Division Divorce Laws to Cohabitants," IZA Discussion Papers 12102, Institute of Labor Economics (IZA).
    230. Kroupova, Katerina & Havranek, Tomas & Irsova, Zuzana, 2024. "Student Employment and Education: A Meta-Analysis," Economics of Education Review, Elsevier, vol. 100(C).
    231. Elminejad, Ali & Havranek, Tomas & Irsova, Zuzana, 2022. "Relative Risk Aversion: A Meta-Analysis," EconStor Preprints 260586, ZBW - Leibniz Information Centre for Economics.
    232. Lambon-Quayefio, Monica & Peterman, Amber & Handa, Sudhanshu & Molotsky, Adria & Otchere, Frank & Mvula, Peter & Tsoka, Maxton & de Hoop, Jacobus & Angeles, Gustavo & Kilburn, Kelly & Milazzo, Annamar, 2024. "Unconditional cash transfers and safe transitions to adulthood in Malawi," World Development, Elsevier, vol. 175(C).
    233. Narciso, Gaia & Severgnini, Battista, 2023. "The deep roots of rebellion," Journal of Development Economics, Elsevier, vol. 160(C).
    234. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust," Working Paper 1483, Economics Department, Queen's University.
    235. Harris, Donna & Borcan, Oana & Serra, Danila & Telli, Henry & Schettini, Bruno & Dercon, Stefan, 2024. "Proud to Belong: The Impact of Ethics Training on Police Officers in Ghana," IZA Discussion Papers 17006, Institute of Labor Economics (IZA).
    236. Bensch, Gunther & Kluve, Jochen & Stöterau, Jonathan, 2021. "The market-based dissemination of energy-access technologies as a business model for rural entrepreneurs: Evidence from Kenya," Resource and Energy Economics, Elsevier, vol. 66(C).
    237. Xin Zhang & Xun Zhang & Yuehua Liu & Xintong Zhao & Xi Chen, 2023. "The morbidity costs of air pollution through the Lens of Health Spending in China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(3), pages 1269-1292, July.
    238. Fabienne Helfer & Volker Grossmann & Aderonke Osikominu, 2023. "How does immigration affect housing costs in Switzerland?," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-31, December.
    239. O’Connor, Kelsey J., 2019. "The effect of immigration on natives’ well-being in the European Union," GLO Discussion Paper Series 352, Global Labor Organization (GLO).
    240. Daniel Hernán Sánchez Pazmiño, 2022. "Immunizing the Economy: A Causality Discussion on Vaccines and Economic Recovery," X-pedientes_Económicos, X-pedientes Económicos, vol. 6(14), pages 65-82.
    241. Lauren E. Jones & Kevin Milligan & Mark Stabile, 2019. "Child cash benefits and family expenditures: Evidence from the National Child Benefit," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 52(4), pages 1433-1463, November.
    242. Bellés-Obrero, Cristina & La Mattina, Giulia & Ye, Han, 2025. "Social Pensions and Intimate Partner Violence against Older Women," IDB Publications (Working Papers) 13830, Inter-American Development Bank.
    243. Igei, Kengo & Kurokawa, Hirofumi & Iseki, Masato & Kitsuki, Akinori & Kurita, Kenichi & Managi, Shunsuke & Nakamuro, Makiko & Sakano, Akira, 2024. "Synergistic effects of nudges and boosts in environmental education: Evidence from a field experiment," Ecological Economics, Elsevier, vol. 224(C).
    244. Joseph, Iverson-Love, 2022. "The effect of natural disaster on economic growth: Evidence from a major earthquake in Haiti," World Development, Elsevier, vol. 159(C).
    245. Jeuland, Marc & Ndiaye, Ousmane & Usmani, Faraz, 2021. "The more choice, the better? Evidence from experimental auctions in rural Senegal," Economics Letters, Elsevier, vol. 206(C).
    246. Firooz, Hamid & Liu, Zheng & Wang, Yajie, 2025. "Automation and the rise of superstar firms," Journal of Monetary Economics, Elsevier, vol. 151(C).
    247. James G. MacKinnon, 2022. "Using Large Samples in Econometrics," Working Paper 1482, Economics Department, Queen's University.
    248. Klein, Alexander & Crafts, Nicholas, 2023. "Unconditional Convergence in Manufacturing Productivity across U.S. States : What the Long-Run Data Show," The Warwick Economics Research Paper Series (TWERPS) 1458, University of Warwick, Department of Economics.
    249. Uroš Herman & Matija Lozej, 2023. "Who Gets Jobs Matters: Monetary Policy and the Labour Market in HANK and SAM," AMSE Working Papers 2334, Aix-Marseille School of Economics, France.
    250. René Böheim & Rainer Eppel & Helmut Mahringer, 2023. "The impact of lower caseloads in public employment services on the unemployed," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-25, December.
    251. García-Suaza, Andres & Mondragón-Mayo, Angie & Sarango-Iturralde, Alexander, 2025. "From Exodus to Employment: Labor Market Transitions and the Role of Work Permits in Colombia," GLO Discussion Paper Series 1606, Global Labor Organization (GLO).
    252. Kranz, Sebastian, 2024. "From Replications to Revelations: Heteroskedasticity-Robust Inference," MPRA Paper 122724, University Library of Munich, Germany.
    253. Vacca, Matteo, 2024. "Panic herding: Analysts' COVID-19 experiences and the interpretation of earnings news," Journal of Economics and Business, Elsevier, vol. 132(C).
    254. Comlanvi Martin Konou, 2023. "Entrepreneurial Risk and Digital Financial Inclusion: A Cross‐Country Analysis," Economic Papers, The Economic Society of Australia, vol. 42(3), pages 267-281, September.
    255. Ola, Oreoluwa & Menapace, Luisa, 2020. "A meta-analysis understanding smallholder entry into high-value markets," World Development, Elsevier, vol. 135(C).
    256. Dominika Ehrenbergerova & Martin Hodula & Zuzana Rakovska, 2020. "Does Capital-Based Regulation Affect Bank Pricing Policy?," Working Papers 2020/5, Czech National Bank, Research and Statistics Department.
    257. Ogutu, Sylvester Ochieng & Ochieng, Dennis O. & Qaim, Matin, 2020. "Supermarket contracts and smallholder farmers: Implications for income and multidimensional poverty," Food Policy, Elsevier, vol. 95(C).
    258. Jan Bietenbeck & Natalie Irmert & Mohammad H. Sepahvand, 2022. "Teacher Subject Knowledge, Didactic Skills, and Student Learning in Francophone Sub-Saharan Africa," CESifo Working Paper Series 9781, CESifo.
    259. Atsushi Inoue & Òscar Jordà & Guido M. Kuersteiner, 2024. "Inference for Local Projections," Working Paper Series 2024-29, Federal Reserve Bank of San Francisco.
    260. Jules Gazeaud & Victor Stephane, 2023. "Productive Workfare? Evidence from Ethiopia's Productive Safety Net Program," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(1), pages 265-290, January.
    261. Giommoni, Tommaso, 2021. "Exposure to corruption and political participation: Evidence from Italian municipalities," European Journal of Political Economy, Elsevier, vol. 68(C).
    262. Damm, Anna Piil & Mattana, Elena & Nielsen, Helena Skyt, 2022. "Effects of school displacement on academic achievement and wellbeing of ethnic minorities," Labour Economics, Elsevier, vol. 79(C).
    263. Arianna Degan & Yushen Li & Huan Xie, 2024. "Favor Exchange with Private Costs: An Experiment," CIRANO Working Papers 2024s-08, CIRANO.
    264. Gong, Erick & de Walque, Damien & Dow, William H., 2019. "Coping with risk: Negative shocks, transactional sex, and the limitations of conditional cash transfers," Journal of Health Economics, Elsevier, vol. 67(C).
    265. Draca, Mirko & Garred, Jason & Stickland, Leanne & Warrinnier, Nele, 2022. "On Target? The Incidence of Sanctions Across Listed Firms in Iran," The Warwick Economics Research Paper Series (TWERPS) 1400, University of Warwick, Department of Economics.
    266. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2023. "Testing for the appropriate level of clustering in linear regression models," Papers 2301.04522, arXiv.org, revised Mar 2023.
    267. Abouk, Rahi & Earle, John S. & Maclean, Johanna Catherine & Park, Sungbin, 2025. "Promoting public health with blunt instruments: Evidence from vaccine mandates," Labour Economics, Elsevier, vol. 96(C).
    268. Spicer, Oliver & Grootendorst, Paul, 2022. "The effect of patented drug price on the share of new medicines across OECD countries," Health Policy, Elsevier, vol. 126(8), pages 795-801.
    269. Christopher Blattman & Gustavo Duncan & Benjamin Lessing & Santiago Tobón, 2021. "Gang rule: Understanding and Countering Criminal Governance," NBER Working Papers 28458, National Bureau of Economic Research, Inc.
    270. Hup, Mark, 2024. "Labor coercion, fiscal modernization, and state capacity: Evidence from colonial Indonesia," Explorations in Economic History, Elsevier, vol. 94(C).
    271. Dillan Bono‐Lunn, 2024. "The impacts of U.S. right‐to‐work laws on free riding, unionization, and compensation," Southern Economic Journal, John Wiley & Sons, vol. 90(3), pages 769-791, January.
    272. Marazyan, Karine, 2025. "The effects of rainfall shocks on divorce requests: Evidence from Colonial Senegal," Journal of Comparative Economics, Elsevier, vol. 53(2), pages 317-344.
    273. Philippos Louis & Matías Núñez & Dimitrios Xefteris, 2019. "Trimming Extreme Opinions in Preference Aggregation," University of Cyprus Working Papers in Economics 12-2019, University of Cyprus Department of Economics.
    274. Patrick Gauß & Sonja Gensler & Michael Kortenhaus & Nadine Riedel & Andrea Schneider, 2024. "Regulating the sharing economy: The effects of day caps on short- and long-term rental markets and stakeholder outcomes," Journal of the Academy of Marketing Science, Springer, vol. 52(6), pages 1627-1650, November.
    275. Goussé, Marion & Leturcq, Marion, 2022. "More or less unmarried. The impact of legal settings of cohabitation on labour market outcomes," European Economic Review, Elsevier, vol. 149(C).
    276. Castelliano, Caio & Grajzl, Peter & Watanabe, Eduardo, 2021. "How has the Covid19 pandemic impacted the courts of law? Evidence from Brazil," International Review of Law and Economics, Elsevier, vol. 66(C).
    277. Romagnoli, Matteo, 2024. "Clean sweep: Electricity liberalization and the direction of technological change in the electricity sector," Research Policy, Elsevier, vol. 53(8).
    278. Gerling, Lena & Kellermann, Kim Leonie, 2022. "Contagious populists: The impact of election information shocks on populist party preferences in Germany," European Journal of Political Economy, Elsevier, vol. 72(C).
    279. Yi Chen & Yingfei Huang, 2020. "The power of the government: China's Family Planning Leading Group and the fertility decline of the 1970s," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 42(35), pages 985-1038.
    280. Michael Lipsitz & Evan Starr, 2022. "Low-Wage Workers and the Enforceability of Noncompete Agreements," Management Science, INFORMS, vol. 68(1), pages 143-170, January.
    281. Neuber-Pohl, Caroline & Pregaldini, Damiano & Backes-Gellner, Uschi & Dummert, Sandra & Pfeifer, Harald, 2023. "How Negative Labor Supply Shocks Affect Training in Firms: Lessons from Opening the Swiss-German Border," IZA Discussion Papers 16652, Institute of Labor Economics (IZA).
    282. Wang, Wenjie, 2021. "Wild Bootstrap for Instrumental Variables Regression with Weak Instruments and Few Clusters," MPRA Paper 106227, University Library of Munich, Germany.
    283. Raphael Corbi & Chiara Falco, 2022. "Natural Disasters and Preferences for the Environment: Evidence from the Impressionable Years," Working Papers, Department of Economics 2022_07, University of São Paulo (FEA-USP).
    284. Evan Wigton-Jones, 2020. "Legacies of inequality: the case of Brazil," Journal of Economic Growth, Springer, vol. 25(4), pages 455-501, December.
    285. Camino-Mogro, Segundo, 2022. "Tax incentives, Private Investment and Employment: Evidence from an Ecuadorian reform," MPRA Paper 112082, University Library of Munich, Germany.
    286. Friehe, Tim & Marcus, Jan, 2021. "Lost job, lost trust? On the effect of involuntary job loss on trust," Journal of Economic Psychology, Elsevier, vol. 84(C).
    287. Abhinav Narayanan & Shekhar Tomar, 2023. "Farm support and market distortion: Evidence from India," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(3), pages 966-993, May.
    288. Alexander Klein & Guy Tchuente, 2020. "Spatial Differencing for Sample Selection Models with Unobserved Heterogeneity," Papers 2009.06570, arXiv.org.
    289. Yamazaki, Akio, 2022. "Environmental taxes and productivity: Lessons from Canadian manufacturing," Journal of Public Economics, Elsevier, vol. 205(C).
    290. Beatriz Tovar & David Boto-García & José Francisco Baños Pino, 2024. "Meeting externalities: The effects of educational training on support for tourism activities," Tourism Economics, , vol. 30(3), pages 785-805, May.
    291. Zach Raff & Andrew Meyer, 2022. "CAFOs and Surface Water Quality: Evidence from Wisconsin," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 161-189, January.
    292. Matano, Alessia & Naticchioni, Paolo, 2025. "China's import competition, innovation strategies, and the role of unions," Structural Change and Economic Dynamics, Elsevier, vol. 73(C), pages 423-433.
    293. Robert Akerlof & Anik Ashraf & Rocco Macchiavello & Atonu Rabbani, 2023. "Layoffs and Productivity at a Bangladeshi Sweater Factory," Rationality and Competition Discussion Paper Series 393, CRC TRR 190 Rationality and Competition.
    294. Semih Tumen & Hakan Ulucan, 2024. "Empowered or impoverished: the impact of panic buttons on domestic violence," Review of Economics of the Household, Springer, vol. 22(4), pages 1423-1459, December.
    295. Victoria Perez & Justin Ross & Kosali Simon, 2024. "By the people, for the people: Local government's representation of voter preferences under the Affordable Care Act," Public Budgeting & Finance, Wiley Blackwell, vol. 44(2), pages 90-161, June.
    296. Wang, Zhen & Chu, Erming, 2024. "The path toward urban carbon neutrality: How does the low-carbon city pilot policy stimulate low-carbon technology?," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 954-975.
    297. Shibashish Mukherjee & Sorin M.S. Krammer, 2024. "When the going gets tough : Board gender diversity in the wake of a major crisis," Post-Print hal-04522722, HAL.
    298. Alberto Chong & Carla Srebot, 2023. "Environmental disasters and mental health: Evidence from oil spills in the Peruvian Amazon," Review of Development Economics, Wiley Blackwell, vol. 27(2), pages 771-796, May.
    299. Collin,Matthew Edward, 2023. "The Impact of Tax Blacklisting," Policy Research Working Paper Series 10435, The World Bank.
    300. Cornelia Chadi, 2022. "Smoking Bans, Leisure Time and Subjective Well-being," Journal of Happiness Studies, Springer, vol. 23(8), pages 3765-3797, December.
    301. Bietenbeck, Jan & Leibing, Andreas & Marcus, Jan & Weinhardt, Felix, 2023. "Tuition fees and educational attainment," European Economic Review, Elsevier, vol. 154(C).
    302. Pfaffermayr, Michael, 2021. "Confidence intervals for the trade cost parameters of cross-section gravity models," Economics Letters, Elsevier, vol. 201(C).
    303. Segundo Camino-Mogro & Juan Manuel Dominguez & María Auxiliadora Guzman, 2025. "From lower levels of formality to a formal firm in Ecuador: Short-run evidence," Economics Bulletin, AccessEcon, vol. 45(1), pages 668-677.
    304. Jeffrey D. Michler & Anna Josephson, 2021. "Recent Developments in Inference: Practicalities for Applied Economics," Papers 2107.09736, arXiv.org.
    305. Blesse, Sebastian & Heinemann, Friedrich, 2020. "Citizens’ trade-offs in state merger decisions: Evidence from a randomized survey experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 438-471.
    306. García-Ramos, Aixa, 2021. "Divorce laws and intimate partner violence: Evidence from Mexico," Journal of Development Economics, Elsevier, vol. 150(C).
    307. Dominika Ehrenbergerova & Josef Bajzik & Tomas Havranek, 2023. "When Does Monetary Policy Sway House Prices? A Meta-Analysis," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(2), pages 538-573, June.
    308. Raghunathan, Kalyani & Kumar, Neha & Gupta, Shivani & Chauhan, Tarana & Kathuria, Ashi Kohli & Menon, Purnima, 2023. "Learning together: Experimental evidence on the impact of group-based nutrition interventions in rural Bihar," World Development, Elsevier, vol. 168(C).
    309. Künn, Steffen & Palacios, Juan & Pestel, Nico, 2019. "Indoor Air Quality and Cognitive Performance," IZA Discussion Papers 12632, Institute of Labor Economics (IZA).
    310. Haoyang Li & Feng Song & Fang Xia, 2024. "Speeding Up Renewable Energy Integration with Invisible Hands: Ancillary Service Market and the COVID-19 Natural Experiment," The Energy Journal, , vol. 45(5), pages 1-31, September.
    311. Arjan Trinks & Erik Hille, 2023. "Carbon costs and industrial firm performance: Evidence from international microdata," CPB Discussion Paper 445, CPB Netherlands Bureau for Economic Policy Analysis.
    312. Schoner, Florian & Mergele, Lukas & Zierow, Larissa, 2024. "Grading student behavior," Labour Economics, Elsevier, vol. 90(C).
    313. Biewen, Martin & Schwerter, Jakob, 2019. "Does More Math in High School Increase the Share of Female STEM Workers? Evidence from a Curriculum Reform," IZA Discussion Papers 12236, Institute of Labor Economics (IZA).
    314. Syed Imran Ali Meerza & Khondoker Mottaleb & Alwin Dsouza & Md. Shajedur Rahaman & Md. Abdur Rouf Sarkar, 2023. "Consumers’ valuation of a biofortified crop: Evidence from a laboratory experiment," Agricultural Economics, International Association of Agricultural Economists, vol. 54(5), pages 697-708, September.
    315. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2024. "Cluster-robust jackknife and bootstrap inference for logistic regression models," Papers 2406.00650, arXiv.org, revised May 2025.
    316. Attila Gáspár & Carmen Cervone & Federica Durante & Anne Maass & Caterina Suitner & Roberta Rosa Valtorta & Michela Vezzoli, 2025. "Inequality perception and preferences globally and locally - correlational evidence from a large-scale cross-country survey," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 23(2), pages 303-326, June.
    317. Havranek, Tomas & Irsova, Zuzana & Laslopova, Lubica & Zeynalova, Olesia, 2020. "Skilled and Unskilled Labor Are Less Substitutable than Commonly Thought," EconStor Preprints 223060, ZBW - Leibniz Information Centre for Economics.
    318. Steffens, Camila & Pereda, Paula Carvalho, 2025. "Dynamic responses to smoking bans: Evidence from young adults in a developing country," Journal of Development Economics, Elsevier, vol. 174(C).
    319. Carson, Katherine Silz & Gonzalez-Ramirez, Jimena & Heinicke, Craig & Maier, Mark & Ruder, Phil & Simkins, Scott P. & Adams, Hiuko & Latham, James “Michael” & Malakar, C. Lucy, 2025. "Results of a randomized evaluation of team-based learning exercises," International Review of Economics Education, Elsevier, vol. 49(C).
    320. Jean-Jacques Forneron & Serena Ng, 2020. "Inference by Stochastic Optimization: A Free-Lunch Bootstrap," Papers 2004.09627, arXiv.org, revised Sep 2020.
    321. Kitamura, Shuhei & Takahashi, Ryo & Yamada, Katsunori, 2025. "Misperception and Accountability in Polarized Societies," OSF Preprints gajx9_v1, Center for Open Science.
    322. Jiarui Tian, 2021. "A Replication of “The effect of the conservation reserve program on rural economies: Deriving a statistical verdict from a null finding” (American Journal of Agricultural Economics, 2019)," Working Papers in Economics 21/12, University of Canterbury, Department of Economics and Finance.
    323. Arzi Adbi & Chirantan Chatterjee & Anant Mishra, 2022. "How Do MNEs and Domestic Firms Respond Locally to a Global Demand Shock? Evidence from a Pandemic," Management Science, INFORMS, vol. 68(12), pages 9003-9025, December.
    324. Adnan M. S. Fakir & Tushar Bharati, 2022. "Healthy, nudged, and wise: Experimental evidence on the role of information salience in reducing tobacco intake," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 1129-1166, June.
    325. Raza, Wameq A. & Van de Poel, Ellen & Van Ourti, Tom, 2018. "Impact and spill-over effects of an asset transfer program on child undernutrition: Evidence from a randomized control trial in Bangladesh," Journal of Health Economics, Elsevier, vol. 62(C), pages 105-120.
    326. Johar Arrieta & David Florián & Kristian López & Valeria Morales, 2020. "Policies for Transactional De-Dollarization: A Laboratory Study," Working Papers 172, Peruvian Economic Association.
    327. Wenjie Wang & Yichong Zhang, 2021. "Wild Bootstrap for Instrumental Variables Regressions with Weak and Few Clusters," Papers 2108.13707, arXiv.org, revised Jan 2024.
    328. Wagner, Gary A. & Elder, Erick M., 2021. "Campaigning for retirement: State teacher union campaign contributions and pension generosity," European Journal of Political Economy, Elsevier, vol. 68(C).
    329. Usep Nugraha & Budy P. Resosudarmo & Rus’an Nasrudin, 2023. "Examining the impact of urban compactness on work and social life disruption during COVID-19 pandemic: evidence from Jakarta, Indonesia," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-26, December.
    330. Jalil, Andrew J. & Tasoff, Joshua & Bustamante, Arturo Vargas, 2020. "Eating to save the planet: Evidence from a randomized controlled trial using individual-level food purchase data," Food Policy, Elsevier, vol. 95(C).
    331. Jacho, Domenica & Cruz, Zoe & Carrillo-Maldonado, Paul, 2024. "Effect of terms of trade on the Latin American Labor market," International Economics, Elsevier, vol. 180(C).
    332. Ban, Radu & Gilligan, Michael J. & Rieger, Matthias, 2020. "Self-help groups, savings and social capital: Evidence from a field experiment in Cambodia," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 174-200.
    333. Scott Barkowski & Dajung Jun & Yuting Zhang, 2025. "Spillover effects of Medicaid expansion on Medicare: Evidence from administrative data," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 44(2), pages 579-611, March.
    334. Olivier Marie & Judit Vall Castello, 2022. "Sick Leave Cuts and (Unhealthy) Returns to Work," CESifo Working Paper Series 9550, CESifo.
    335. Chaudhary, Latika & Rubin, Jared & Iyer, Sriya & Shrivastava, Anand, 2020. "Culture and colonial legacy: Evidence from public goods games," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 107-129.
    336. Bahrami-Rad, Duman, 2021. "Keeping it in the family: Female inheritance, inmarriage, and the status of women," Journal of Development Economics, Elsevier, vol. 153(C).
    337. Jan Schmitz, 2019. "When Two Become One: How Group Mergers Affect Solidarity," Games, MDPI, vol. 10(3), pages 1-42, July.
    338. Fumagalli, Laura & Martin, Thomas, 2023. "Child labor among farm households in Mozambique and the role of reciprocal adult labor," World Development, Elsevier, vol. 161(C).
    339. Kotschy, Rainer & Sunde, Uwe, 2022. "Does Demography Determine Democratic Attitudes?," Rationality and Competition Discussion Paper Series 338, CRC TRR 190 Rationality and Competition.
    340. Ozaki, Ryosuke & Tsujimoto, Yasuhiro & Andriamananjara, Andry & Rakotonindrina, Hobimiarantsoa & Sakurai, Takeshi, 2021. "Impact of Information of Expected Effectiveness Based on Soil Quality on Farmers’ Decision of Fertilizer Use: Evidence from Madagascar," 2021 Conference, August 17-31, 2021, Virtual 315272, International Association of Agricultural Economists.
    341. Cotofan, Maria, 2021. "Learning from praise: evidence from a field experiment with teachers," LSE Research Online Documents on Economics 112772, London School of Economics and Political Science, LSE Library.
    342. Kathryn Vasilaky & Sofía Martínez Sáenz & Radost Stanimirova & Daniel Osgood, 2020. "Perceptions of Farm Size Heterogeneity and Demand for Group Index Insurance," Games, MDPI, vol. 11(1), pages 1-21, March.
    343. Khalil, Umair & Mookerjee, Sulagna & Tierney, Ryan, 2019. "Social interactions in voting behavior: Evidence from india," Journal of Economic Behavior & Organization, Elsevier, vol. 163(C), pages 158-171.
    344. Tyler Smith & Tom Coupé, 2020. "The Mental Health Cost of Terrorism: A Replication of Kim and Albert Kim (Health Economics, 2018)," Working Papers in Economics 20/21, University of Canterbury, Department of Economics and Finance.
    345. Jason Kim & Marco Mello & Cosimo Petracchi, 2024. "Monetary Regimes and Real Exchange Rates: Long-Run Evidence at the Product Level," CEIS Research Paper 579, Tor Vergata University, CEIS, revised 19 Jun 2024.
    346. Roupakias, Stelios, 2022. "Employment and distributional effects of Greece’s national minimum wage," MPRA Paper 114244, University Library of Munich, Germany.
    347. Bharadwaj, Prashant & Graeber, Daniel & Khoury, Stephanie & Schmid, Christian P.R., 2026. "Asylum seekers and host country mental health: Evidence from Germany and Switzerland," Journal of Development Economics, Elsevier, vol. 178(C).
    348. Alder, Simon, 2025. "Chinese roads in India: The effect of transport infrastructure on economic development," Journal of International Economics, Elsevier, vol. 157(C).
    349. Dennis Lim & Wenjie Wang & Yichong Zhang, 2024. "A Dimension-Agnostic Bootstrap Anderson-Rubin Test For Instrumental Variable Regressions," Papers 2412.01603, arXiv.org, revised Sep 2025.
    350. Asuyama, Yoko, 2021. "Determinants of job interestingness: Comparison of Japan and other high-income countries," Labour Economics, Elsevier, vol. 73(C).
    351. Gradstein, Mark & Klemp, Marc, 2020. "Natural resource access and local economic growth," European Economic Review, Elsevier, vol. 127(C).
    352. Lohmann, Paul M. & Gsottbauer, Elisabeth & Doherty, Anya & Kontoleon, Andreas, 2022. "Do carbon footprint labels promote climatarian diets? Evidence from a large-scale field experiment," Journal of Environmental Economics and Management, Elsevier, vol. 114(C).
    353. Hvidman, Charlotte & Koch, Alexander K. & Nafziger, Julia & Nielsen, Søren Albeck & Rosholm, Michael, 2024. "An intensive, school-based learning camp targeting academic and non-cognitive skills evaluated in a randomized trial," Labour Economics, Elsevier, vol. 88(C).
    354. Fraser Summerfield & Livio Di Matteo, 2024. "Influenza pandemics and macroeconomic fluctuations 1871–2016," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 18(2), pages 405-451, May.
    355. Bellés-Obrero, Cristina & Cabrales, Antonio & Jiménez-Martín, Sergi & Vall-Castelló, Judit, 2023. "Women’s education, fertility and children’ health during a gender equalization process: Evidence from a child labor reform in Spain," European Economic Review, Elsevier, vol. 154(C).
    356. Tumen, Semih, 2021. "The effect of refugees on native adolescents’ test scores: Quasi-experimental evidence from PISA," Journal of Development Economics, Elsevier, vol. 150(C).
    357. Rosario Macera, 2024. "The roles of selection and practice in mitigating negative responses to high-powered incentives," Experimental Economics, Springer;Economic Science Association, vol. 27(5), pages 973-1000, November.
    358. Bakhtiar, M. Mehrab & Guiteras, Raymond P. & Levinsohn, James & Mobarak, Ahmed Mushfiq, 2023. "Social and financial incentives for overcoming a collective action problem," Journal of Development Economics, Elsevier, vol. 162(C).
    359. Pasquale Accardo & Giuseppe De Feo & Giacomo De Luca, 2024. "The good connections: A Network Analysis of organized crime, patronage, and local elites," Department of Economics Working Papers 101/24, University of Bath, Department of Economics.
    360. James G. MacKinnon & Matthew D. Webb, 2020. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's University.
    361. Luisa Schneider & Daniela Wech & Matthias Wrede, 2022. "Political alignment and project funding," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 29(6), pages 1561-1589, December.
    362. Zuzana Irsova & Pedro R. D. Bom & Tomas Havranek & Heiko Rachinger, 2025. "Spurious precision in meta-analysis of observational research," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
    363. Bach, Maximilian, 2021. "Heterogeneous responses to school track choice: Evidence from the repeal of binding track recommendations," ZEW Discussion Papers 21-104, ZEW - Leibniz Centre for European Economic Research.
    364. Hartwell, Christopher A. & Otrachshenko, Vladimir & Popova, Olga, 2021. "Waxing power, waning pollution: The effect of COVID-19 on Russian environmental policymaking," Ecological Economics, Elsevier, vol. 184(C).
    365. Best, Rohan & Li, Han & Trück, Stefan & Truong, Chi, 2021. "Actual uptake of home batteries: The key roles of capital and policy," Energy Policy, Elsevier, vol. 151(C).
    366. Lee, Maxine J., 2021. "The effect of import competition on educational attainment at the postsecondary level: Evidence from NAFTA," Economics of Education Review, Elsevier, vol. 82(C).
    367. Alessandro Belmonte & Davide Ticchi & Michele Ubaldi, 2025. "Affirmative Actions, Economic Insecurity, and Ethnic Conflicts: Evidence from South Africa Post-Apartheid," Working Papers 496, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    368. Nelly Exbrayat & Victor Stephane, 2024. "Does Urbanization Cause Crime? Evidence from Rural-Urban Migration in South Africa," Working Papers 2401, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    369. Afridi, Farzana & Basistha, Ahana & Dhillon, Amrita & Serra, Danila, 2023. "Can Crises Affect Citizen Activism? Evidence from a Pandemic," CAGE Online Working Paper Series 693, Competitive Advantage in the Global Economy (CAGE).
    370. Shaun Da Costa, 2023. "Estimating the value of life expectancy gains in Tanzania using the life satisfaction and model based approaches," Health Economics, John Wiley & Sons, Ltd., vol. 32(5), pages 1040-1063, May.
    371. Veronica Grembi & Anna C. Rosso & Emilia Barili, 2024. "Domestic violence perception and gender stereotypes," Journal of Population Economics, Springer;European Society for Population Economics, vol. 37(1), pages 1-32, March.
    372. Fullard, Joshua, 2021. "Bad economy, good teachers? The countercyclicality of enrolment Into Initial Teacher Training Programmes in the UK," ISER Working Paper Series 2021-06, Institute for Social and Economic Research.
    373. Yuki Higuchi & Miyuki Sasaki & Makiko Nakamuro, 2020. "Impacts of an Information and Communication Technology-Assisted Program on Attitudes and English Communication Abilities: An Experiment in a Japanese High School," Asian Development Review, MIT Press, vol. 37(2), pages 100-133, September.
    374. Robson Morgan & Kelsey J. O’Connor, 2022. "Labor Market Policy and Subjective Well-Being During the Great Recession," Journal of Happiness Studies, Springer, vol. 23(2), pages 391-422, February.
    375. James G. MacKinnon, 2019. "How cluster‐robust inference is changing applied econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 52(3), pages 851-881, August.
    376. Mehdi Guelmamen & Serge Garcia & Alexandre Mayol, 2025. "Inter-municipal cooperation in drinking water supply: Trade-offs between transaction costs, efficiency and service quality," Working Papers of BETA 2025-07, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    377. Grace Armijos-Bravo & Segundo Camino-Mogro, 2023. "Covid-19 Lockdown in Ecuador: Are there Gender Differences in Unemployment?," Journal of Development Studies, Taylor & Francis Journals, vol. 59(6), pages 833-853, June.
    378. Hille, Erik, 2023. "Europe's energy crisis: Are geopolitical risks in source countries of fossil fuels accelerating the transition to renewable energy?," Energy Economics, Elsevier, vol. 127(PA).
    379. Masagus M. Ridhwan & Solikin M. Juhro & Affandi Ismail & Peter Nijkamp & Kelvin Ramadhan Hidayat, 2024. "Did COVID-19 Disrupt the Stock Market Return and Volatility? A Meta-Analytic Approach," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 27(1), pages 25-82, March.
    380. Kengo Igei & Kana Takio & Keitaro Aoyagi & Yoshito Takasaki, 2020. "Vocational Training for Demobilized Ex-combatants with Disabilities in Rwanda," CIRJE F-Series CIRJE-F-1155, CIRJE, Faculty of Economics, University of Tokyo.
    381. Matano, Alessia & Naticchioni, Paolo, 2025. "China’s Import Competition, Innovation and the Role of Unions," IZA Discussion Papers 17764, Institute of Labor Economics (IZA).
    382. Sundar Ponnusamy, 2022. "Natural disasters and missing children," Health Economics, John Wiley & Sons, Ltd., vol. 31(2), pages 399-416, February.
    383. Wenze Li, 2025. "An Empirical Comparison of Weak-IV-Robust Procedures in Just-Identified Models," Papers 2506.18001, arXiv.org.
    384. Laura Alfaro & Cathy Bao & Maggie X. Chen & Junjie Hong & Claudia Steinwender, 2022. "Trademarks as Intellectual Property: Information Frictions, Firm Growth, and Competition," CESifo Working Paper Series 9548, CESifo.
    385. Havranek, Tomas & Irsova, Zuzana & Laslopova, Lubica & Zeynalova, Olesia, 2020. "The Elasticity of Substitution between Skilled and Unskilled Labor: A Meta-Analysis," MetaArXiv 7z2uh, Center for Open Science.
    386. Brodeur, Abel & Haddad, Joanne, 2021. "Institutions, attitudes and LGBT: Evidence from the gold rush," Journal of Economic Behavior & Organization, Elsevier, vol. 187(C), pages 92-110.
    387. Marc Blatter & Andreas Fuster, 2022. "Scale effects on efficiency and profitability in the Swiss banking sector," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 158(1), pages 1-24, December.
    388. Heller-Sahlgren, Gabriel, 2023. "Independent-School Competition and Sweden's Performance in TIMSS," Working Paper Series 1472, Research Institute of Industrial Economics.
    389. Gerard, Andrew & Lopez, Maria Claudia & Mason, Nicole M. & Bizoza, Alfred R., 2022. "Do government zoning policies improve buyer-farmer relationships? Evidence from Rwanda’s coffee sector," Food Policy, Elsevier, vol. 107(C).
    390. Matthias Firgo, 2019. "The Causal Economic Effects of Olympic Games on Host Regions," WIFO Working Papers 591, WIFO.
    391. Yichen Shen & Rong Fu & Haruko Noguchi, 2021. "COVID‐19's Lockdown and Crime Victimization: The State of Emergency under the Abe Administration," Asian Economic Policy Review, Japan Center for Economic Research, vol. 16(2), pages 327-348, July.
    392. Marta Santagata, 2022. "Roads and intra‐national trade: Evidence from Italian regions," Papers in Regional Science, Wiley Blackwell, vol. 101(6), pages 1383-1409, December.
    393. Jonathan Deslauriers & Benoit Dostie & Robert Gagné & Jonathan Paré, 2021. "Estimating the impacts of payroll taxes: Evidence from Canadian employer–employee tax data," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(4), pages 1609-1637, November.
    394. Gyula Seres & Anna Helen Balleyer & Nicola Cerutti & Anastasia Danilov & Jana Friedrichsen & Yiming Liu & Müge Süer, 2021. "Face masks increase compliance with physical distancing recommendations during the COVID-19 pandemic," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(2), pages 139-158, December.
    395. Bürker, Matthias & Mammi, Irene & Minerva, G. Alfredo, 2021. "Civic capital and service outsourcing: Evidence from Italy," European Economic Review, Elsevier, vol. 138(C).
    396. Friedman, Willa & Keats, Anthony & Mutua, Martin Kavao, 2022. "Disruptions to healthcare quality and early child health outcomes: Evidence from health-worker strikes in Kenya," Journal of Health Economics, Elsevier, vol. 86(C).
    397. Han, Luyi & Winters, John V., 2020. "Industry Fluctuations and College Major Choices: Evidence from an Energy Boom and Bust," Economics of Education Review, Elsevier, vol. 77(C).
    398. Friedt, Felix L. & Toner-Rodgers, Aidan, 2022. "Natural disasters, intra-national FDI spillovers, and economic divergence: Evidence from India," Journal of Development Economics, Elsevier, vol. 157(C).
    399. Farzana Misha & Syeda Sitwat Shahed & Natascha Wagner & Arjun Bedi, 2022. "Building resilience in the chars of Bangladesh: An impact assessment," Journal of International Development, John Wiley & Sons, Ltd., vol. 34(8), pages 1547-1569, November.
    400. Dalla Pellegrina, Lucia & De Michele, Angela & Di Maio, Giorgio & Landoni, Paolo, 2021. "Fostering savings by commitment: Evidence from a quasi-natural experiment at The Small Enterprise Foundation in South Africa," World Development, Elsevier, vol. 148(C).
    401. Jiménez, Bruno, 2023. "The Political economy of the minimum wage," Labour Economics, Elsevier, vol. 85(C).
    402. Sanghyun Hong & W. Robert Reed, 2019. "Towards an Experimental Framework for Assessing Meta-Analysis Methods, with a Focus on Andrews-Kasy Estimators," Working Papers in Economics 19/13, University of Canterbury, Department of Economics and Finance.
    403. Louis-Philippe Beland & Abel Brodeur & Derek Mikola & Taylor Wright, 2020. "COVID-19, Occupation Tasks and Mental Health in Canada," Carleton Economic Papers 20-07, Carleton University, Department of Economics, revised 30 Jun 2020.
    404. Prithwiraj (Raj) Choudhury & Tarun Khanna & Victoria Sevcenko, 2023. "Firm-Induced Migration Paths and Strategic Human-Capital Outcomes," Management Science, INFORMS, vol. 69(1), pages 419-445, January.
    405. Stepan Jurajda & Tomas Jelinek, 2019. "Surviving Auschwitz with Pre-Existing Social Ties," CERGE-EI Working Papers wp646, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    406. Matthew D. Webb, 2023. "Reworking wild bootstrap‐based inference for clustered errors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(3), pages 839-858, August.
    407. Ritwik Banerjee & Amadou Boly & Robert Gillanders, 2022. "Is corruption distasteful or just another cost of doing business?," Public Choice, Springer, vol. 190(1), pages 33-51, January.
    408. Yantuan Yu & Ling Liu & Yayun Ren, 2025. "Effect of climate change adaptation on energy productivity: evidence from China," Economic Change and Restructuring, Springer, vol. 58(4), pages 1-22, August.
    409. Barber, Michael & Jones, Maggie E.C., 2021. "Inequalities in test scores between Indigenous and non-Indigenous youth in Canada," Economics of Education Review, Elsevier, vol. 83(C).
    410. Hoff,Karla & Jalan,Jyotsna & Santra,Sattwik, 2021. "Participatory Theater Empowers Women : Evidence from India," Policy Research Working Paper Series 9680, The World Bank.
    411. Jones, Maggie E.C., 2023. "Post-secondary funding and the educational attainment of indigenous students," Economics of Education Review, Elsevier, vol. 97(C).
    412. Gudibande, Rohan Ravindra & Jacob, Arun, 2020. "Minimum wages for domestic workers: impact evaluation of the Indian experience," World Development, Elsevier, vol. 130(C).
    413. Mara Barschkett, 2022. "Age-specific Effects of Early Daycare on Children’s Health," Berlin School of Economics Discussion Papers 0005, Berlin School of Economics.
    414. Raiber, Eva, 2021. "Anticipated Children and Educational Investment: Evidence from the One-Child Policy in China," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242401, Verein für Socialpolitik / German Economic Association.
    415. Vitantonio Mariella, 2023. "Landownership concentration and human capital accumulation in post-unification Italy," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(3), pages 1695-1764, July.
    416. Molina, Teresa & Tanaka, Mari, 2020. "Globalization and Female Empowerment: Evidence from Myanmar," IZA Discussion Papers 13957, Institute of Labor Economics (IZA).
    417. Hammoud Gallego, Omar, 2024. "The short-term effects of visa restrictions on migrants’ legal status and well-being: a difference-in-differences approach on Venezuelan displacement," LSE Research Online Documents on Economics 124093, London School of Economics and Political Science, LSE Library.
    418. Fabian Grünwald & Tom Stargardt, 2024. "Harmonizing regulatory market approval of products with high safety requirements: Evidence from the European pharmaceutical market," Health Economics, John Wiley & Sons, Ltd., vol. 33(7), pages 1546-1564, July.
    419. De Filippis, Fabrizio & Giua, Mara & Salvatici, Luca & Vaquero-Piñeiro, Cristina, 2022. "The international trade impacts of Geographical Indications: Hype or hope?," Food Policy, Elsevier, vol. 112(C).
    420. Xindong Xue & Mingmei Cheng & Wangyongxin Zhang, 2021. "Does Education Really Improve Health? A Meta‐Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 71-105, February.
    421. Delesalle, Esther, 2021. "The effect of the Universal Primary Education program on consumption and on the employment sector: Evidence from Tanzania," World Development, Elsevier, vol. 142(C).
    422. Donna Feir & Rob Gillezeau & Maggie E. C. Jones, 2019. "The Slaughter of the Bison and Reversal of Fortunes on the Great Plains," Center for Indian Country Development series 1-2019, Federal Reserve Bank of Minneapolis.
    423. Ali, Daniel Ayalew & Deininger, Klaus, 2024. "Using registry data to assess gender-differentiated land and credit market effects of urban land policy reform: Evidence from Lesotho," World Development, Elsevier, vol. 175(C).
    424. Stefan Beierl & Marina Dodlova, 2022. "Public Works Programmes and Cooperation for the Common Good: Evidence from Malawi," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(3), pages 1264-1284, June.
    425. Michael Chletsos & Andreas Sintos, 2023. "Financial development and income inequality: A meta‐analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1090-1119, September.
    426. Sintos, Andreas, 2023. "Does inflation worsen income inequality? A meta-analysis," Economic Systems, Elsevier, vol. 47(4).
    427. Hammoud-Gallego, Omar, 2024. "The short-term effects of visa restrictions on migrants’ legal status and well-being: A difference-in-differences approach on Venezuelan displacement," World Development, Elsevier, vol. 182(C).
    428. Arisi, Diego & Cortés, Alix & Delic, Diego & Rossi, Martín, 2022. "Knowledge for Results and the Efficiency of Public Agencies in Colombia," IDB Publications (Working Papers) 12007, Inter-American Development Bank.
    429. Samuel Vika Mhlanga & Neil Andrew Rankin, 2021. "Fixed costs, markups and concentration in Eswatini (Swaziland): A firm‐level analysis of panel data," South African Journal of Economics, Economic Society of South Africa, vol. 89(3), pages 391-416, September.
    430. Garoupa, Nuno & Grajzl, Peter, 2020. "Spurred by legal tradition or contextual politics? Lessons about judicial dissent from Slovenia and Croatia," International Review of Law and Economics, Elsevier, vol. 63(C).
    431. Richard Murphy, 2019. "Why unions: understanding how unions overcome the free-rider problem," CEP Discussion Papers dp1625, Centre for Economic Performance, LSE.
    432. Urbig, Diemo & Procher, Vivien D. & Steinberg, Philip J. & Volkmann, Christine, 2022. "The role of firm-level and country-level antecedents in explaining emerging versus advanced economy multinationals' R&D internationalization strategies," International Business Review, Elsevier, vol. 31(3).
    433. Steinberg, Philip J. & Urbig, Diemo & Procher, Vivien D. & Volkmann, Christine, 2021. "Knowledge transfer and home-market innovativeness: A comparison of emerging and advanced economy multinationals," Journal of International Management, Elsevier, vol. 27(4).
    434. Fan Yang & Tomas Havranek & Zuzana Irsova & Jiri Novak, 2024. "Is research on hedge fund performance published selectively? A quantitative survey," Journal of Economic Surveys, Wiley Blackwell, vol. 38(4), pages 1085-1131, September.
    435. Javier E. Portillo & Wisnu Sugiarto & Kevin Willardsen, 2024. "Drink…then drive away: The effects of lowering the blood alcohol concentration in Utah," Health Economics, John Wiley & Sons, Ltd., vol. 33(8), pages 1869-1894, August.
    436. Dominika Ehrenbergerova & Josef Bajzik, 2020. "The Effect of Monetary Policy on House Prices - How Strong is the Transmission?," Working Papers 2020/14, Czech National Bank, Research and Statistics Department.
    437. Camilo Abbate & Jeffrey Cross & Richard Uhrig, 2025. "Video assistant referee and home field advantage: Implications for referee bias," Southern Economic Journal, John Wiley & Sons, vol. 91(3), pages 1176-1196, January.
    438. Barschkett, Mara, 2023. "Age-specific Effects of Early Daycare on Children's Health," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277588, Verein für Socialpolitik / German Economic Association.
    439. Moore, Christopher & Fuller, Jasmine, 2020. "Economic Impacts of Ocean Acidification: A Meta-Analysis," National Center for Environmental Economics-NCEE Working Papers 307893, United States Environmental Protection Agency (EPA).
    440. Abbink, Klaus & Ryvkin, Dmitry & Serra, Danila, 2020. "Corrupt police," Games and Economic Behavior, Elsevier, vol. 123(C), pages 101-119.
      • Klaus Abbink & Dmitry Ryvkin & Danila Serra, 2018. "Corrupt police," Working Papers wp2018_09_01, Department of Economics, Florida State University, revised Sep 2018.

  18. Søren Johansen & Morten Ørregaard Nielsen, 2017. "Testing the CVAR in the fractional CVAR model," CREATES Research Papers 2017-37, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Sergej Gričar & Štefan Bojnec, 2021. "Technical Analysis of Tourism Price Process in the Eurozone," JRFM, MDPI, vol. 14(11), pages 1-25, October.
    2. Yan, Meng & Chen, Jian & Song, Victor & Xu, Ke, 2022. "Trade friction and price discovery in the USD–CAD spot and forward markets," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    3. Xu, Ke & Stewart, Kenneth G. & Cao, Zeyang, 2022. "Fractional cointegration and price discovery in Canadian commodities," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    4. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    5. Stoupos, Nikolaos & Kiohos, Apostolos, 2022. "Bond markets integration in the EU: New empirical evidence from the Eastern non-euro member-states," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    6. Pérez-Rodríguez, Jorge V. & Andrada-Félix, Julián & Rachinger, Heiko, 2021. "Testing the forward volatility unbiasedness hypothesis in exchange rates under long-range dependence," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    7. Abbritti, Mirko & Carcel, Hector & Gil-Alana, Luis & Moreno, Antonio, 2023. "Term premium in a fractionally cointegrated yield curve," Journal of Banking & Finance, Elsevier, vol. 149(C).
    8. Carlos D. Ramirez, 2024. "The effect of economic policy uncertainty under fractional integration," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 23(1), pages 89-110, January.
    9. Morten Ø. Nielsen & S Johansen, 2018. "Nonstationary Cointegration In The Fractionally Cointegrated Var Model," Working Paper 1405, Economics Department, Queen's University.
    10. Nikolaos Stoupos & Apostolos Kiohos, 2022. "Euro Area: Towards a European Common Bond? – Empirical Evidence from the Sovereign Debt Markets," Journal of Common Market Studies, Wiley Blackwell, vol. 60(4), pages 1019-1046, July.
    11. Bent Jesper Christensen & Nabanita Datta Gupta & Paolo Santucci de Magistris, 2021. "Measuring the impact of clean energy production on CO2 abatement in Denmark: Upper bound estimation and forecasting," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 118-149, January.
    12. Ataei, Masoud & Chen, Shengyuan & Yang, Zijiang & Peyghami, M. Reza, 2021. "Theory and applications of financial chaos index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).

  19. James G. MacKinnon & Matthew D. Webb & Morten Ø. Nielsen, 2017. "Bootstrap And Asymptotic Inference With Multiway Clustering," Working Paper 1386, Economics Department, Queen's University.

    Cited by:

    1. Harold D. Chiang & Kengo Kato & Yukun Ma & Yuya Sasaki, 2019. "Multiway Cluster Robust Double/Debiased Machine Learning," Papers 1909.03489, arXiv.org, revised Mar 2020.
    2. Bruce E. Hansen & Seojeong Lee, 2019. "Asymptotic Theory for Clustered Samples," Papers 1902.01497, arXiv.org.
    3. Harold D. Chiang & Yuya Sasaki, 2019. "Lasso under Multi-way Clustering: Estimation and Post-selection Inference," Papers 1905.02107, arXiv.org, revised Aug 2019.
    4. James G. MacKinnon & Matthew D. Webb, 2017. "Pitfalls When Estimating Treatment Effects Using Clustered Data," Working Paper 1387, Economics Department, Queen's University.
    5. David Roodman & James G. MacKinnon & Matthew D. Webb & Morten Ø. Nielsen, 2018. "Fast And Wild: Bootstrap Inference In Stata Using Boottest," Working Paper 1406, Economics Department, Queen's University.
    6. Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2018. "The wild bootstrap with a "small" number of "large" clusters," CeMMAP working papers CWP27/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Yusuf Emre Akgunduz & Emine Meltem Bastan & Ufuk Demiroglu & Semih Tumen, 2021. "Product‐level estimates of exchange rate pass‐through: Evidence from Turkey☆," The World Economy, Wiley Blackwell, vol. 44(7), pages 2203-2226, July.
    8. Tumen, Semih, 2021. "The effect of refugees on native adolescents’ test scores: Quasi-experimental evidence from PISA," Journal of Development Economics, Elsevier, vol. 150(C).
    9. Tumen, Semih & Ulucan, Hakan, 2019. "Empowered or Impoverished: The Impact of Panic Buttons on Domestic Violence," IZA Discussion Papers 12847, Institute of Labor Economics (IZA).
    10. Laurent Davezies & Xavier D'Haultfoeuille & Yannick Guyonvarch, 2018. "Asymptotic results under multiway clustering," Papers 1807.07925, arXiv.org, revised Aug 2018.

  20. Giuseppe Cavaliere & Morten Ørregaard Nielsen & Robert Taylor, 2017. "Quasi-Maximum Likelihood Estimation and Bootstrap Inference in Fractional Time Series Models with Heteroskedasticity of Unknown Form," CREATES Research Papers 2017-02, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Giuseppe Cavaliere & Morten Ørregaard Nielsen & A.M. Robert Taylor, 2014. "Bootstrap Score Tests for Fractional Integration in Heteroskedastic ARFIMA Models, with an Application to Price Dynamics in Commodity Spot and Futures Markets," CREATES Research Papers 2014-22, Department of Economics and Business Economics, Aarhus University.
    2. Martin, Gael M. & Nadarajah, K. & Poskitt, D.S., 2020. "Issues in the estimation of mis-specified models of fractionally integrated processes," Journal of Econometrics, Elsevier, vol. 215(2), pages 559-573.
    3. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    4. Marina Balboa & Paulo M. M. Rodrigues & Antonio Rubia & A. M. Robert Taylor, 2021. "Multivariate fractional integration tests allowing for conditional heteroskedasticity with an application to return volatility and trading volume," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 544-565, August.
    5. Giraitis, Liudas & Li, Yufei & Phillips, Peter C.B., 2024. "Reprint of: Robust inference on correlation under general heterogeneity," Journal of Econometrics, Elsevier, vol. 244(2).
    6. Lujia Bai & Weichi Wu, 2021. "Detecting long-range dependence for time-varying linear models," Papers 2110.08089, arXiv.org, revised Mar 2023.
    7. Arteche, Josu, 2024. "Bootstrapping long memory time series: Application in low frequency estimators," Econometrics and Statistics, Elsevier, vol. 29(C), pages 1-15.
    8. Giraitis, Liudas & Li, Yufei & Phillips, Peter C.B., 2024. "Robust inference on correlation under general heterogeneity," Journal of Econometrics, Elsevier, vol. 240(1).
    9. Skrobotov Anton, 2023. "Testing for explosive bubbles: a review," Dependence Modeling, De Gruyter, vol. 11(1), pages 1-26, January.
    10. Anton Skrobotov, 2022. "Testing for explosive bubbles: a review," Papers 2207.08249, arXiv.org.
    11. Yacouba Boubacar Maïnassara & Youssef Esstafa & Bruno Saussereau, 2021. "Estimating FARIMA models with uncorrelated but non-independent error terms," Statistical Inference for Stochastic Processes, Springer, vol. 24(3), pages 549-608, October.
    12. Dalla, Violetta & Giraitis, Liudas & Robinson, Peter M., 2020. "Asymptotic theory for time series with changing mean and variance," Journal of Econometrics, Elsevier, vol. 219(2), pages 281-313.
    13. Javier Hualde & Morten Ørregaard Nielsen, 2022. "Truncated sum-of-squares estimation of fractional time series models with generalized power law trend," CREATES Research Papers 2022-07, Department of Economics and Business Economics, Aarhus University.

  21. Sepideh Dolatabadi & Paresh Kumar Narayan & Morten Ørregaard Nielsen & Ke Xu, 2017. "Economic significance of commodity return forecasts from the fractionally cointegrated VAR model," CREATES Research Papers 2018-35, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Wang, Yudong & Liu, Li & Wu, Chongfeng, 2020. "Forecasting commodity prices out-of-sample: Can technical indicators help?," International Journal of Forecasting, Elsevier, vol. 36(2), pages 666-683.
    2. Xu, Ke & Stewart, Kenneth G. & Cao, Zeyang, 2022. "Fractional cointegration and price discovery in Canadian commodities," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    3. Duan, Kun & Li, Zeming & Urquhart, Andrew & Ye, Jinqiang, 2021. "Dynamic efficiency and arbitrage potential in Bitcoin: A long-memory approach," International Review of Financial Analysis, Elsevier, vol. 75(C).
    4. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    5. Wen, Chufu & Zhu, Haoyang & Dai, Zhifeng, 2023. "Forecasting commodity prices returns: The role of partial least squares approach," Energy Economics, Elsevier, vol. 125(C).
    6. Monge, Manuel & Cristóbal, Enrique, 2021. "Terrorism and the behavior of oil production and prices in OPEC," Resources Policy, Elsevier, vol. 74(C).
    7. Monge, Manuel & Gil-Alana, Luis A., 2021. "Lithium industry and the U.S. crude oil prices. A fractional cointegration VAR and a Continuous Wavelet Transform analysis," Resources Policy, Elsevier, vol. 72(C).
    8. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2018. "An analysis of time-varying commodity market price discovery," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 122-133.
    9. Ke Xu & Yu‐Lun Chen & Bo Liu & Jian Chen, 2024. "Price discovery and long‐memory property: Simulation and empirical evidence from the bitcoin market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(4), pages 605-618, April.
    10. Zhenxiong Li & Marwan Izzeldin & Xingzhi Yao, 2020. "Return predictability of variance differences: A fractionally cointegrated approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(7), pages 1072-1089, July.
    11. Soni, Rajat Kumar & Nandan, Tanuj, 2022. "Modeling Covid-19 contagious effect between asset markets and commodity futures in India," Resources Policy, Elsevier, vol. 79(C).
    12. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Nicola Rubino & Inmaculada Vilchez, 2024. "Modelling Loans to Non-Financial Corporations in the Eurozone: A Long-Memory Approach," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 30(3), pages 231-254, August.
    13. Monge, Manuel & Gil-Alana, Luis Alberiko, 2021. "Spatial crude oil production divergence and crude oil price behaviour in the United States," Energy, Elsevier, vol. 232(C).
    14. Monge, Manuel & Poza, Carlos & Borgia, Sofía, 2022. "A proposal of a suspicion of tax fraud indicator based on Google trends to foresee Spanish tax revenues," International Economics, Elsevier, vol. 169(C), pages 1-12.
    15. Shusheng Ding & Zhipan Yuan & Fan Chen & Xihan Xiong & Zheng Lu & Tianxiang Cui, 2021. "Impact persistence of stock market risks in commodity markets: Evidence from China," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-22, November.
    16. Narayan, Paresh Kumar & Nasiri, Maryam Akbari, 2020. "Understanding corporate debt from the oil market perspective," Energy Economics, Elsevier, vol. 92(C).
    17. Oleksandr Castello & Marina Resta, 2023. "A Machine-Learning-Based Approach for Natural Gas Futures Curve Modeling," Energies, MDPI, vol. 16(12), pages 1-22, June.
    18. Shao, Yanmin & Li, Junlong, 2025. "When renewable energy technology products exports meet geopolitical risks: Can environmental policies sweeten the bitter pill of the trade?," Energy Economics, Elsevier, vol. 145(C).
    19. Seema Narayan & Russell Smyth, 2015. "The Financial Econometrics of Price Discovery and Predictability," Monash Economics Working Papers 06-15, Monash University, Department of Economics.
    20. Maria Malmierca-Ordoqui & Luis A. Gil-Alana & Manuel Monge, 2024. "Fractional cointegration between energy imports to the EURO area and exchange rates to the US dollar," Empirical Economics, Springer, vol. 66(2), pages 859-882, February.
    21. Gkillas, Konstantinos & Konstantatos, Christoforos & Papathanasiou, Spyros & Wohar, Mark, 2023. "Estimation of value at risk for copper," Journal of Commodity Markets, Elsevier, vol. 32(C).
    22. Monge, Manuel & Claudio-Quiroga, Gloria & Poza, Carlos, 2024. "Chinese economic behavior in times of covid-19. A new leading economic indicator based on Google trends," International Economics, Elsevier, vol. 177(C).
    23. Bravo Caro, José Manuel & Golpe, Antonio A. & Iglesias, Jesús & Vides, José Carlos, 2020. "A new way of measuring the WTI – Brent spread. Globalization, shock persistence and common trends," Energy Economics, Elsevier, vol. 85(C).
    24. Kai Yao & Kun Duan & Rong Huang & Thanaset Chevapatrakul, 2025. "The Memory in Return Volatility: An Analysis of Mutual Fund Returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 2930-2945, July.
    25. Godday Uwawunkonye Ebuh & Afees Salisu & Victor Oboh & Nuruddeen Usman, 2023. "A test for the contributions of urban and rural inflation to inflation persistence in Nigeria," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 16(2), pages 222-246, May.
    26. Li, Bingxin, 2019. "Pricing dynamics of natural gas futures," Energy Economics, Elsevier, vol. 78(C), pages 91-108.
    27. Salisu, Afees A. & Ndako, Umar B. & Adediran, Idris A. & Swaray, Raymond, 2020. "A fractional cointegration VAR analysis of Islamic stocks: A global perspective," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    28. Apergis, Nicholas & Carmona-González, Nieves & Gil-Alana, Luis Alberiko, 2020. "Persistence in silver prices and the influence of solar energy," Resources Policy, Elsevier, vol. 69(C).
    29. Jinghong Wu & Ke Xu & Xinwei Zheng & Jian Chen, 2021. "Fractional cointegration in bitcoin spot and futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(9), pages 1478-1494, September.
    30. Tule, Moses K. & Salisu, Afees A. & Ebuh, Godday U., 2020. "A test for inflation persistence in Nigeria using fractional integration & fractional cointegration techniques," Economic Modelling, Elsevier, vol. 87(C), pages 225-237.
    31. Monge, Manuel & Romero Rojo, María Fátima & Gil-Alana, Luis Alberiko, 2023. "The impact of geopolitical risk on the behavior of oil prices and freight rates," Energy, Elsevier, vol. 269(C).
    32. Monge, Manuel & Lazcano, Ana & Parada, José Luis, 2023. "Growth vs value investing: Persistence and time trend before and after COVID-19," Research in International Business and Finance, Elsevier, vol. 65(C).
    33. Liu, Li & Wang, Yudong & Yang, Li, 2018. "Predictability of crude oil prices: An investor perspective," Energy Economics, Elsevier, vol. 75(C), pages 193-205.
    34. Gil-Alana, Luis A. & Carcel, Hector, 2020. "A fractional cointegration var analysis of exchange rate dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    35. Narayan, Paresh Kumar, 2022. "Evidence of oil market price clustering during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 80(C).
    36. Duan, Kun & Gao, Yang & Mishra, Tapas & Satchell, Stephen, 2023. "Efficiency dynamics across segmented Bitcoin Markets: Evidence from a decomposition strategy," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
    37. Jia, Yiqing & Liu, Yang & Taghizadeh-Hesary, Farhad, 2025. "The nexus among geopolitical risk, metal prices, and global supply chain pressure: Evidence from the TVP-SV-VAR approach," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 1776-1789.
    38. Ebuh U. Godday & Nuruddeen Usman & Afees A. Salisu, 2022. "Testing for unemployment persistence in Nigeria," Economic Change and Restructuring, Springer, vol. 55(4), pages 2605-2630, November.

  22. Antoine A. Djogbenou & James G. MacKinnon & Morten Ø. Nielsen, 2017. "Validity Of Wild Bootstrap Inference With Clustered Errors," Working Paper 1383, Economics Department, Queen's University.

    Cited by:

    1. Timothy Conley & Silvia Gonçalves & Christian Hansen, 2018. "Inference with Dependent Data in Accounting and Finance Applications," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 56(4), pages 1139-1203, September.
    2. James G. MacKinnon & Matthew D. Webb & Morten Ø. Nielsen, 2017. "Bootstrap And Asymptotic Inference With Multiway Clustering," Working Paper 1386, Economics Department, Queen's University.
    3. Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2018. "The wild bootstrap with a "small" number of "large" clusters," CeMMAP working papers CWP27/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Laurent Davezies & Xavier D'Haultfoeuille & Yannick Guyonvarch, 2018. "Asymptotic results under multiway clustering," Papers 1807.07925, arXiv.org, revised Aug 2018.
    5. Antoine A. Djogbenou, 2018. "Comovements In The Real Activity Of Developed And Emerging Economies: A Test Of Global Versus Specific International Factors," Working Paper 1392, Economics Department, Queen's University.

  23. Søren Johansen & Morten Ørregaard Nielsen, 2016. "The cointegrated vector autoregressive model with general deterministic terms," CREATES Research Papers 2016-22, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Dimitriou, Dimitrios & Kenourgios, Dimitris & Simos, Theodore, 2020. "Are there any other safe haven assets? Evidence for “exotic” and alternative assets," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 614-628.
    2. Dietmar Bauer & Lukas Matuschek & Patrick de Matos Ribeiro & Martin Wagner, 2020. "A Parameterization of Models for Unit Root Processes: Structure Theory and Hypothesis Testing," Econometrics, MDPI, vol. 8(4), pages 1-54, November.
    3. Rocco Mosconi & Paolo Paruolo, 2022. "A Conversation with Søren Johansen," Econometrics, MDPI, vol. 10(2), pages 1-16, April.
    4. Emilia Gosińska & Aleksander Welfe, 2022. "The Cointegrated VAR Model with Deterministic Structural Breaks," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 14(3), pages 335-350, September.

  24. Morten Ørregaard Nielsen & Sergei S. Shibaev, 2016. "Forecasting daily political opinion polls using the fractionally cointegrated VAR model," CREATES Research Papers 2016-30, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Wang, Qiang & Li, Shuyu & Li, Rongrong, 2019. "Will Trump's coal revival plan work? - Comparison of results based on the optimal combined forecasting technique and an extended IPAT forecasting technique," Energy, Elsevier, vol. 169(C), pages 762-775.
    2. Frei, Xenia & Langer, Sebastian & Lehmann, Robert & Rösel, Felix, 2017. "Electoral Externalities in Federations - Evidence from German Opinion Polls," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168124, Verein für Socialpolitik / German Economic Association.
    3. Zhenxiong Li & Marwan Izzeldin & Xingzhi Yao, 2020. "Return predictability of variance differences: A fractionally cointegrated approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(7), pages 1072-1089, July.
    4. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Nicola Rubino & Inmaculada Vilchez, 2024. "Modelling Loans to Non-Financial Corporations in the Eurozone: A Long-Memory Approach," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 30(3), pages 231-254, August.
    5. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    6. Federico Carlini & Paolo Santucci de Magistris, 2019. "Resuscitating the co-fractional model of Granger (1986)," Discussion Papers 19/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    7. Tule, Moses K. & Salisu, Afees A. & Ebuh, Godday U., 2020. "A test for inflation persistence in Nigeria using fractional integration & fractional cointegration techniques," Economic Modelling, Elsevier, vol. 87(C), pages 225-237.
    8. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2020. "Modelling Loans to Non-Financial Corporations within the Eurozone: A Long-Memory Approach," CESifo Working Paper Series 8674, CESifo.

  25. Sepideh Dolatabadi & Ke Xu & Morten Ø. Nielsen, 2015. "A Fractionally Cointegrated Var Model With Deterministic Trends And Application To Commodity Futures Markets," Working Paper 1327, Economics Department, Queen's University.

    Cited by:

    1. Samet Gunay, 2018. "Fractionally Cointegrated Vector Autoregression Model: Evaluation of High/Low and Close/Open Spreads for Precious Metals," SAGE Open, , vol. 8(4), pages 21582440188, November.
    2. Masoud Ataei & Shengyuan Chen & Zijiang Yang & M. Reza Peyghami, 2021. "Theory and Applications of Financial Chaos Index," Papers 2101.02288, arXiv.org.
    3. Quineche Ricardo, 2021. "Consumption, Aggregate Wealth and Expected Stock Returns: An FCVAR Approach," Journal of Time Series Econometrics, De Gruyter, vol. 13(1), pages 21-42, January.
    4. Sepideh Dolatabadi & Paresh Kumar Narayan & Morten Ørregaard Nielsen & Ke Xu, 2018. "Economic significance of commodity return forecasts from the fractionally cointegrated VAR model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(2), pages 219-242, February.
    5. Xu, Ke & Stewart, Kenneth G. & Cao, Zeyang, 2022. "Fractional cointegration and price discovery in Canadian commodities," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    6. Alexander Boca Saravia & Gabriel Rodríguez, 2022. "Presidential approval in Peru: an empirical analysis using a fractionally cointegrated VAR," Economic Change and Restructuring, Springer, vol. 55(3), pages 1973-2010, August.
    7. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    8. Stoupos, Nikolaos & Kiohos, Apostolos, 2022. "Bond markets integration in the EU: New empirical evidence from the Eastern non-euro member-states," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    9. Poza, Carlos & Monge, Manuel, 2020. "A real time leading economic indicator based on text mining for the Spanish economy. Fractional cointegration VAR and Continuous Wavelet Transform analysis," International Economics, Elsevier, vol. 163(C), pages 163-175.
    10. Tim Leung & Raphael Yan, 2018. "Optimal dynamic pairs trading of futures under a two-factor mean-reverting model," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 5(03), pages 1-23, September.
    11. Sepideh Dolatabadi & Morten Ørregaard Nielsen & Ke Xu, 2015. "A Fractionally Cointegrated VAR Analysis of Price Discovery in Commodity Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 339-356, April.
    12. Ke Xu & Yu‐Lun Chen & Bo Liu & Jian Chen, 2024. "Price discovery and long‐memory property: Simulation and empirical evidence from the bitcoin market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(4), pages 605-618, April.
    13. Stuart Snaith & Neil M. Kellard & Norzalina Ahmad, 2018. "Open outcry versus electronic trading: Tests of market efficiency on crude palm oil futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(6), pages 673-695, June.
    14. Abbritti, Mirko & Carcel, Hector & Gil-Alana, Luis & Moreno, Antonio, 2023. "Term premium in a fractionally cointegrated yield curve," Journal of Banking & Finance, Elsevier, vol. 149(C).
    15. Dimitriou, Dimitrios & Kenourgios, Dimitris & Simos, Theodore, 2020. "Are there any other safe haven assets? Evidence for “exotic” and alternative assets," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 614-628.
    16. Morten Ø. Nielsen & S Johansen, 2018. "Nonstationary Cointegration In The Fractionally Cointegrated Var Model," Working Paper 1405, Economics Department, Queen's University.
    17. Monge, Manuel & Gil-Alana, Luis Alberiko, 2021. "Spatial crude oil production divergence and crude oil price behaviour in the United States," Energy, Elsevier, vol. 232(C).
    18. Soeren Johansen & Morten Oeregaard Nielsen, 2017. "Testing the CVAR in the fractional CVAR model," Discussion Papers 17-23, University of Copenhagen. Department of Economics.
    19. Yaya, OaOluwa S & Vo, Xuan Vinh & Ogbonna, Ahamuefula E & Adewuyi, Adeolu O, 2020. "Modelling Cryptocurrency High-Low Prices using Fractional Cointegrating VAR," MPRA Paper 102190, University Library of Munich, Germany, revised 02 Aug 2020.
    20. Nuruddeen Usman & Martins Apinran, 2024. "Policy rates in ECOWAS: are they fractionally cointegrated?," SN Business & Economics, Springer, vol. 4(11), pages 1-15, November.
    21. Stoupos, Nikolaos & Kiohos, Apostolos, 2021. "Energy commodities and advanced stock markets: A post-crisis approach," Resources Policy, Elsevier, vol. 70(C).
    22. Nikolaos Stoupos & Apostolos Kiohos, 2022. "Euro Area: Towards a European Common Bond? – Empirical Evidence from the Sovereign Debt Markets," Journal of Common Market Studies, Wiley Blackwell, vol. 60(4), pages 1019-1046, July.
    23. Seema Narayan & Russell Smyth, 2015. "The Financial Econometrics of Price Discovery and Predictability," Monash Economics Working Papers 06-15, Monash University, Department of Economics.
    24. Maria Malmierca-Ordoqui & Luis A. Gil-Alana & Manuel Monge, 2024. "Fractional cointegration between energy imports to the EURO area and exchange rates to the US dollar," Empirical Economics, Springer, vol. 66(2), pages 859-882, February.
    25. Morten Ø. Nielsen & Michal Ksawery Popiel, 2018. "A Matlab Program And User's Guide For The Fractionally Cointegrated Var Model," Working Paper 1330, Economics Department, Queen's University.
    26. Bravo Caro, José Manuel & Golpe, Antonio A. & Iglesias, Jesús & Vides, José Carlos, 2020. "A new way of measuring the WTI – Brent spread. Globalization, shock persistence and common trends," Energy Economics, Elsevier, vol. 85(C).
    27. Salisu, Afees A. & Ndako, Umar B. & Adediran, Idris A. & Swaray, Raymond, 2020. "A fractional cointegration VAR analysis of Islamic stocks: A global perspective," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    28. Chen, Yu-Lun & Xu, Ke, 2021. "The impact of RMB’s SDR inclusion on price discovery in onshore-offshore markets," Journal of Banking & Finance, Elsevier, vol. 127(C).
    29. Vides, José Carlos & Golpe, Antonio A. & Iglesias, Jesús, 2021. "The impact of the term spread in US monetary policy from 1870 to 2013," Journal of Policy Modeling, Elsevier, vol. 43(1), pages 230-251.
    30. Yaya, OlaOluwa S & Gil-Alana, Luis A., 2018. "High and Low Intraday Commodity Prices: A Fractional Integration and Cointegration Approach," MPRA Paper 90518, University Library of Munich, Germany.
    31. Federico Carlini & Paolo Santucci de Magistris, 2019. "Resuscitating the co-fractional model of Granger (1986)," Discussion Papers 19/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    32. Xu, Ke & Chen, Yu-Lun & Yang, J. Jimmy, 2023. "Market uncertainty, persistent arbitrage-free violation, and price discovery in RMB market," International Review of Financial Analysis, Elsevier, vol. 90(C).
    33. Jinghong Wu & Ke Xu & Xinwei Zheng & Jian Chen, 2021. "Fractional cointegration in bitcoin spot and futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(9), pages 1478-1494, September.
    34. Tule, Moses K. & Salisu, Afees A. & Ebuh, Godday U., 2020. "A test for inflation persistence in Nigeria using fractional integration & fractional cointegration techniques," Economic Modelling, Elsevier, vol. 87(C), pages 225-237.
    35. Ataei, Masoud & Chen, Shengyuan & Yang, Zijiang & Peyghami, M. Reza, 2021. "Theory and applications of financial chaos index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    36. Gil-Alana, Luis A. & Carcel, Hector, 2020. "A fractional cointegration var analysis of exchange rate dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    37. Vides, José Carlos & Golpe, Antonio A. & Iglesias, Jesús, 2020. "The EHTS and the persistence in the spread reconsidered. A fractional cointegration approach," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 124-137.
    38. Ebuh U. Godday & Nuruddeen Usman & Afees A. Salisu, 2022. "Testing for unemployment persistence in Nigeria," Economic Change and Restructuring, Springer, vol. 55(4), pages 2605-2630, November.
    39. Chrysanthopoulou, Xakousti & Sidiropoulos, Moise & Tsioutsios, Alexandros, 2024. "Ricardian equivalence and positively sloped IS curve: (Dis)equilibrium insights," The Journal of Economic Asymmetries, Elsevier, vol. 30(C).

  26. Maggie E. C. Jones & Morten Ørregaard Nielsen & Michael Ksawery Popiel, 2014. "A fractionally cointegrated VAR analysis of economic voting and political support," CREATES Research Papers 2014-23, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Samet Gunay, 2018. "Fractionally Cointegrated Vector Autoregression Model: Evaluation of High/Low and Close/Open Spreads for Precious Metals," SAGE Open, , vol. 8(4), pages 21582440188, November.
    2. Gagnon, Marie-Hélène & Power, Gabriel J. & Toupin, Dominique, 2016. "International stock market cointegration under the risk-neutral measure," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 243-255.
    3. Alexander Boca Saravia & Gabriel Rodríguez, 2022. "Presidential approval in Peru: an empirical analysis using a fractionally cointegrated VAR," Economic Change and Restructuring, Springer, vol. 55(3), pages 1973-2010, August.
    4. Duan, Kun & Li, Zeming & Urquhart, Andrew & Ye, Jinqiang, 2021. "Dynamic efficiency and arbitrage potential in Bitcoin: A long-memory approach," International Review of Financial Analysis, Elsevier, vol. 75(C).
    5. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    6. Stoupos, Nikolaos & Kiohos, Apostolos, 2022. "Bond markets integration in the EU: New empirical evidence from the Eastern non-euro member-states," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    7. Monge, Manuel & Cristóbal, Enrique, 2021. "Terrorism and the behavior of oil production and prices in OPEC," Resources Policy, Elsevier, vol. 74(C).
    8. Monge, Manuel & Gil-Alana, Luis A., 2021. "Lithium industry and the U.S. crude oil prices. A fractional cointegration VAR and a Continuous Wavelet Transform analysis," Resources Policy, Elsevier, vol. 72(C).
    9. José Carlos Vides & Antonio A. Golpe & Jesús Iglesias, 2018. "How did the Sovereign debt crisis affect the Euro financial integration? A fractional cointegration approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(4), pages 685-706, November.
    10. Yongguang Zhu & Ya Li & Yuna Gong & Deyi Xu, 2024. "Examining the metal futures price discovery in China from multi-scale time," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 37(1), pages 173-188, March.
    11. Poza, Carlos & Monge, Manuel, 2020. "A real time leading economic indicator based on text mining for the Spanish economy. Fractional cointegration VAR and Continuous Wavelet Transform analysis," International Economics, Elsevier, vol. 163(C), pages 163-175.
    12. Frei, Xenia & Langer, Sebastian & Lehmann, Robert & Rösel, Felix, 2017. "Electoral Externalities in Federations - Evidence from German Opinion Polls," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168124, Verein für Socialpolitik / German Economic Association.
    13. Morten Ørregaard Nielsen & Sergei S. Shibaev, 2015. "Forecasting daily political opinion polls using the fractionally cointegrated VAR model," Working Paper 1340, Economics Department, Queen's University.
    14. Carlos D. Ramirez, 2024. "The effect of economic policy uncertainty under fractional integration," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 23(1), pages 89-110, January.
    15. Afsin Sahin, 2019. "Loom of Symmetric Pass-Through," Economies, MDPI, vol. 7(1), pages 1-25, February.
    16. Vadim Kufenko & Niels Geiger, 2016. "Business cycles in the economy and in economics: an econometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 43-69, April.
    17. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Nicola Rubino & Inmaculada Vilchez, 2024. "Modelling Loans to Non-Financial Corporations in the Eurozone: A Long-Memory Approach," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 30(3), pages 231-254, August.
    18. Monge, Manuel & Gil-Alana, Luis Alberiko, 2021. "Spatial crude oil production divergence and crude oil price behaviour in the United States," Energy, Elsevier, vol. 232(C).
    19. Oloko, Tirimisiyu F. & Ogbonna, Ahamuefula E. & Adedeji, Abdulfatai A. & Lakhani, Noman, 2021. "Oil price shocks and inflation rate persistence: A Fractional Cointegration VAR approach," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 259-275.
    20. Monge, Manuel & Poza, Carlos & Borgia, Sofía, 2022. "A proposal of a suspicion of tax fraud indicator based on Google trends to foresee Spanish tax revenues," International Economics, Elsevier, vol. 169(C), pages 1-12.
    21. Nikolaos Stoupos & Apostolos Kiohos, 2022. "Euro Area: Towards a European Common Bond? – Empirical Evidence from the Sovereign Debt Markets," Journal of Common Market Studies, Wiley Blackwell, vol. 60(4), pages 1019-1046, July.
    22. Maria Malmierca-Ordoqui & Luis A. Gil-Alana & Manuel Monge, 2024. "Fractional cointegration between energy imports to the EURO area and exchange rates to the US dollar," Empirical Economics, Springer, vol. 66(2), pages 859-882, February.
    23. Morten Ø. Nielsen & Michal Ksawery Popiel, 2018. "A Matlab Program And User's Guide For The Fractionally Cointegrated Var Model," Working Paper 1330, Economics Department, Queen's University.
    24. Monge, Manuel & Claudio-Quiroga, Gloria & Poza, Carlos, 2024. "Chinese economic behavior in times of covid-19. A new leading economic indicator based on Google trends," International Economics, Elsevier, vol. 177(C).
    25. Bravo Caro, José Manuel & Golpe, Antonio A. & Iglesias, Jesús & Vides, José Carlos, 2020. "A new way of measuring the WTI – Brent spread. Globalization, shock persistence and common trends," Energy Economics, Elsevier, vol. 85(C).
    26. Kai Yao & Kun Duan & Rong Huang & Thanaset Chevapatrakul, 2025. "The Memory in Return Volatility: An Analysis of Mutual Fund Returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 2930-2945, July.
    27. Mishra, Tapas & Park, Donghyun & Parhi, Mamata & Uddin, Gazi Salah & Tian, Shu, 2023. "A memory in the bond: Green bond and sectoral investment interdependence in a fractionally cointegrated VAR framework," Energy Economics, Elsevier, vol. 121(C).
    28. Salisu, Afees A. & Ndako, Umar B. & Adediran, Idris A. & Swaray, Raymond, 2020. "A fractional cointegration VAR analysis of Islamic stocks: A global perspective," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    29. Vides, José Carlos & Golpe, Antonio A. & Iglesias, Jesús, 2021. "The impact of the term spread in US monetary policy from 1870 to 2013," Journal of Policy Modeling, Elsevier, vol. 43(1), pages 230-251.
    30. Apergis, Nicholas & Carmona-González, Nieves & Gil-Alana, Luis Alberiko, 2020. "Persistence in silver prices and the influence of solar energy," Resources Policy, Elsevier, vol. 69(C).
    31. Filippo Beltrami & Fulvio Fontini & Monica Giulietti & Luigi Grossi, 2021. "The zonal and seasonal CO2 marginal emissions factors for the Italian power market," Working Papers 01/2021, University of Verona, Department of Economics.
    32. Tule, Moses K. & Salisu, Afees A. & Ebuh, Godday U., 2020. "A test for inflation persistence in Nigeria using fractional integration & fractional cointegration techniques," Economic Modelling, Elsevier, vol. 87(C), pages 225-237.
    33. Monge, Manuel & Romero Rojo, María Fátima & Gil-Alana, Luis Alberiko, 2023. "The impact of geopolitical risk on the behavior of oil prices and freight rates," Energy, Elsevier, vol. 269(C).
    34. Monge, Manuel & Lazcano, Ana & Parada, José Luis, 2023. "Growth vs value investing: Persistence and time trend before and after COVID-19," Research in International Business and Finance, Elsevier, vol. 65(C).
    35. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2020. "Modelling Loans to Non-Financial Corporations within the Eurozone: A Long-Memory Approach," CESifo Working Paper Series 8674, CESifo.
    36. Gil-Alana, Luis A. & Carcel, Hector, 2020. "A fractional cointegration var analysis of exchange rate dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    37. Vides, José Carlos & Golpe, Antonio A. & Iglesias, Jesús, 2020. "The EHTS and the persistence in the spread reconsidered. A fractional cointegration approach," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 124-137.
    38. Ebuh U. Godday & Nuruddeen Usman & Afees A. Salisu, 2022. "Testing for unemployment persistence in Nigeria," Economic Change and Restructuring, Springer, vol. 55(4), pages 2605-2630, November.
    39. Jayawardena, Nirodha I. & Todorova, Neda & Li, Bin & Su, Jen-Je & Gau, Yin-Feng, 2022. "Risk-return trade-off in the Australian Securities Exchange: Accounting for overnight effects, realized higher moments, long-run relations, and fractional cointegration," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 384-401.

  27. Giuseppe Cavaliere & Morten Ørregaard Nielsen & A.M. Robert Taylor, 2014. "Bootstrap Score Tests for Fractional Integration in Heteroskedastic ARFIMA Models, with an Application to Price Dynamics in Commodity Spot and Futures Markets," CREATES Research Papers 2014-22, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Giuseppe Cavaliere & Morten Ørregaard Nielsen & A.M. Robert Taylor, 2014. "Bootstrap Score Tests for Fractional Integration in Heteroskedastic ARFIMA Models, with an Application to Price Dynamics in Commodity Spot and Futures Markets," CREATES Research Papers 2014-22, Department of Economics and Business Economics, Aarhus University.
    2. Chia-Lin Chang & Michael McAleer, 2014. "Econometric Analysis of Financial Derivatives: An Overview," Working Papers in Economics 14/29, University of Canterbury, Department of Economics and Finance.
    3. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    4. Gil-Alana, Luis A. & Mudida, Robert & Yaya, OlaOluwa S & Osuolale, Kazeem & Ogbonna, Ephraim A, 2019. "Influence of US Presidential Terms on S&P500 Index Using a Time Series Analysis Approach," MPRA Paper 93941, University Library of Munich, Germany.
    5. Cavaliere, Giuseppe & Nielsen, Morten Ørregaard & Taylor, A.M. Robert, 2017. "Quasi-maximum likelihood estimation and bootstrap inference in fractional time series models with heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 198(1), pages 165-188.
    6. Chang, C-L. & McAleer, M.J., 2014. "Econometric Analysis of Financial Derivatives," Econometric Institute Research Papers EI 2015-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Demetrescu, Matei & Sibbertsen, Philipp, 2016. "Inference on the long-memory properties of time series with non-stationary volatility," Economics Letters, Elsevier, vol. 144(C), pages 80-84.
    8. Luis A. Gil‐Alana & Robert Mudida & OlaOluwa S. Yaya & Kazeem A. Osuolale & Ahamuefula E. Ogbonna, 2021. "Mapping US presidential terms with S&P500 index: Time series analysis approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1938-1954, April.
    9. Arteche, Josu, 2024. "Bootstrapping long memory time series: Application in low frequency estimators," Econometrics and Statistics, Elsevier, vol. 29(C), pages 1-15.
    10. Javier Hualde & Morten Ørregaard Nielsen, 2022. "Truncated sum-of-squares estimation of fractional time series models with generalized power law trend," CREATES Research Papers 2022-07, Department of Economics and Business Economics, Aarhus University.
    11. Dony Abdul Chalid & Rangga Handika, 2022. "Comovement and contagion in commodity markets," Cogent Economics & Finance, Taylor & Francis Journals, vol. 10(1), pages 2064079-206, December.

  28. Morten Ø. Nielsen & Lealand Morin, 2014. "Fcvarmodel.m: A Matlab Software Package For Estimation And Testing In The Fractionally Cointegrated Var Model," Working Paper 1273, Economics Department, Queen's University.

    Cited by:

    1. Maggie E. C. Jones & Morten Ørregaard Nielsen & Michael Ksawery Popiel, 2014. "A fractionally cointegrated VAR analysis of economic voting and political support," CREATES Research Papers 2014-23, Department of Economics and Business Economics, Aarhus University.
    2. Daniela Osterrieder, 2013. "Interest Rates with Long Memory: A Generalized Affine Term-Structure Model," CREATES Research Papers 2013-17, Department of Economics and Business Economics, Aarhus University.
    3. Alexander Boca Saravia & Gabriel Rodríguez, 2022. "Presidential approval in Peru: an empirical analysis using a fractionally cointegrated VAR," Economic Change and Restructuring, Springer, vol. 55(3), pages 1973-2010, August.
    4. Monge, Manuel & Cristóbal, Enrique, 2021. "Terrorism and the behavior of oil production and prices in OPEC," Resources Policy, Elsevier, vol. 74(C).
    5. Sepideh Dolatabadi & Morten Ørregaard Nielsen & Ke Xu, 2015. "A Fractionally Cointegrated VAR Analysis of Price Discovery in Commodity Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 339-356, April.
    6. Daniela Osterrieder & Daniel Ventosa-Santaulària & J. Eduardo Vera-Valdés, 2015. "Unbalanced Regressions and the Predictive Equation," CREATES Research Papers 2015-09, Department of Economics and Business Economics, Aarhus University.
    7. Alia Afzal & Philipp Sibbertsen, 2021. "Modeling fractional cointegration between high and low stock prices in Asian countries," Empirical Economics, Springer, vol. 60(2), pages 661-682, February.
    8. Cheah, Eng-Tuck & Mishra, Tapas & Parhi, Mamata & Zhang, Zhuang, 2018. "Long Memory Interdependency and Inefficiency in Bitcoin Markets," Economics Letters, Elsevier, vol. 167(C), pages 18-25.
    9. Morten Ø. Nielsen & Michal Ksawery Popiel, 2018. "A Matlab Program And User's Guide For The Fractionally Cointegrated Var Model," Working Paper 1330, Economics Department, Queen's University.
    10. Gil-Alana, Luis A. & Mudida, Robert & Carcel, Hector, 2017. "Shocks affecting electricity prices in Kenya, a fractional integration study," Energy, Elsevier, vol. 124(C), pages 521-530.
    11. Monge, Manuel & Romero Rojo, María Fátima & Gil-Alana, Luis Alberiko, 2023. "The impact of geopolitical risk on the behavior of oil prices and freight rates," Energy, Elsevier, vol. 269(C).
    12. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2020. "Modelling Loans to Non-Financial Corporations within the Eurozone: A Long-Memory Approach," CESifo Working Paper Series 8674, CESifo.
    13. Jayawardena, Nirodha I. & Todorova, Neda & Li, Bin & Su, Jen-Je & Gau, Yin-Feng, 2022. "Risk-return trade-off in the Australian Securities Exchange: Accounting for overnight effects, realized higher moments, long-run relations, and fractional cointegration," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 384-401.

  29. Sepideh Dolatabadi & Morten Ørregaard Nielsen & Ke Xu, 2014. "A fractionally cointegrated VAR analysis of price discovery in commodity futures markets," CREATES Research Papers 2014-24, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Ruchika Kaura & Namita Rajput, 2024. "Future–Spot Relationship in Commodity Market: A Comparison Across Commodity Segments in India," Global Business Review, International Management Institute, vol. 25(5), pages 1314-1335, October.
    2. Yan, Meng & Chen, Jian & Song, Victor & Xu, Ke, 2022. "Trade friction and price discovery in the USD–CAD spot and forward markets," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    3. Wei Zhang & Sayed Saghaian & Michael Reed, 2022. "Influences of Power Structure Evolution on Coffee Commodity Markets: Insights from Price Discovery and Volatility Spillovers," Sustainability, MDPI, vol. 14(22), pages 1-27, November.
    4. Sepideh Dolatabadi & Paresh Kumar Narayan & Morten Ørregaard Nielsen & Ke Xu, 2018. "Economic significance of commodity return forecasts from the fractionally cointegrated VAR model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(2), pages 219-242, February.
    5. Xu, Ke & Stewart, Kenneth G. & Cao, Zeyang, 2022. "Fractional cointegration and price discovery in Canadian commodities," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    6. Lahmiri, Salim & Bekiros, Stelios, 2018. "Time-varying self-similarity in alternative investments," Chaos, Solitons & Fractals, Elsevier, vol. 111(C), pages 1-5.
    7. Alexander Boca Saravia & Gabriel Rodríguez, 2022. "Presidential approval in Peru: an empirical analysis using a fractionally cointegrated VAR," Economic Change and Restructuring, Springer, vol. 55(3), pages 1973-2010, August.
    8. Fernandez-Perez, Adrian & Miffre, Joëlle & Schoen, Tilman & Scott, Ayesha, 2023. "Do spot market auction data help price discovery?," Journal of Commodity Markets, Elsevier, vol. 31(C).
    9. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    10. Lien, Donald & Hung, Pi-Hsia & Lin, Zong-Wei, 2020. "Whose trades move stock prices? Evidence from the Taiwan Stock Exchange," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 25-50.
    11. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2018. "An analysis of time-varying commodity market price discovery," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 122-133.
    12. Yongguang Zhu & Ya Li & Yuna Gong & Deyi Xu, 2024. "Examining the metal futures price discovery in China from multi-scale time," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 37(1), pages 173-188, March.
    13. Massimiliano Caporin & Fulvio Fontini & Paolo Santucci De Magistris, 2017. "Price convergence within and between the Italian electricity day-ahead and dispatching services markets," "Marco Fanno" Working Papers 0215, Dipartimento di Scienze Economiche "Marco Fanno".
    14. Gustavo Fruet Dias & Cristina M. Scherrer & Fotis Papailias, 2016. "Volatility Discovery," CREATES Research Papers 2016-07, Department of Economics and Business Economics, Aarhus University.
    15. Osama Ahmed, 2021. "Assessing the Current Situation of the World Wheat Market Leadership: Using the Semi-Parametric Approach," Mathematics, MDPI, vol. 9(2), pages 1-21, January.
    16. Sepideh Dolatabadi & Morten Ørregaard Nielsen & Ke Xu, 2015. "A Fractionally Cointegrated VAR Analysis of Price Discovery in Commodity Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 339-356, April.
    17. Chen, Cathy Yi-Hsuan & Chiang, Thomas C. & Härdle, Wolfgang Karl, 2018. "Downside risk and stock returns in the G7 countries: An empirical analysis of their long-run and short-run dynamics," Journal of Banking & Finance, Elsevier, vol. 93(C), pages 21-32.
    18. Ke Xu & Yu‐Lun Chen & Bo Liu & Jian Chen, 2024. "Price discovery and long‐memory property: Simulation and empirical evidence from the bitcoin market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(4), pages 605-618, April.
    19. Dark, Jonathan, 2015. "Futures hedging with Markov switching vector error correction FIEGARCH and FIAPARCH," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 269-285.
    20. Morten Ørregaard Nielsen & Sergei S. Shibaev, 2015. "Forecasting daily political opinion polls using the fractionally cointegrated VAR model," Working Paper 1340, Economics Department, Queen's University.
    21. van Huellen, Sophie, 2019. "Price discovery in commodity futures and cash markets with heterogeneous agents," Journal of International Money and Finance, Elsevier, vol. 95(C), pages 1-13.
    22. Carlos D. Ramirez, 2024. "The effect of economic policy uncertainty under fractional integration," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 23(1), pages 89-110, January.
    23. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Nicola Rubino & Inmaculada Vilchez, 2024. "Modelling Loans to Non-Financial Corporations in the Eurozone: A Long-Memory Approach," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 30(3), pages 231-254, August.
    24. Mustanen, Dmitri & Maaitah, Ahmad & Mishra, Tapas & Parhi, Mamata, 2022. "The power of investors’ optimism and pessimism in oil market forecasting," Energy Economics, Elsevier, vol. 114(C).
    25. Forte, Santiago & Lovreta, Lidija, 2019. "Volatility discovery: Can the CDS market beat the equity options market?," Finance Research Letters, Elsevier, vol. 28(C), pages 107-111.
    26. Marie-Hélène Gagnon & Gabriel J. Power, 2020. "International Oil Market Risk Anticipations and the Cushing Bottleneck: Option-implied Evidence," The Energy Journal, , vol. 41(6), pages 255-280, November.
    27. Monge, Manuel & Poza, Carlos & Borgia, Sofía, 2022. "A proposal of a suspicion of tax fraud indicator based on Google trends to foresee Spanish tax revenues," International Economics, Elsevier, vol. 169(C), pages 1-12.
    28. Nikolaos Stoupos & Apostolos Kiohos, 2022. "Euro Area: Towards a European Common Bond? – Empirical Evidence from the Sovereign Debt Markets," Journal of Common Market Studies, Wiley Blackwell, vol. 60(4), pages 1019-1046, July.
    29. Adrian Fernandez-Perez & Joëlle Miffre & Tilman Schoen & Ayesha Scott, 2023. "Do spot market auction data help price discovery?," Post-Print hal-04121327, HAL.
    30. Seema Narayan & Russell Smyth, 2015. "The Financial Econometrics of Price Discovery and Predictability," Monash Economics Working Papers 06-15, Monash University, Department of Economics.
    31. Fassas, Athanasios P. & Papadamou, Stephanos & Koulis, Alexandros, 2020. "Price discovery in bitcoin futures," Research in International Business and Finance, Elsevier, vol. 52(C).
    32. Morten Ø. Nielsen & Michal Ksawery Popiel, 2018. "A Matlab Program And User's Guide For The Fractionally Cointegrated Var Model," Working Paper 1330, Economics Department, Queen's University.
    33. Martin Hauptfleisch, 2019. "Financial Decision-Making Using Data," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 6-2019, January-A.
    34. Bravo Caro, José Manuel & Golpe, Antonio A. & Iglesias, Jesús & Vides, José Carlos, 2020. "A new way of measuring the WTI – Brent spread. Globalization, shock persistence and common trends," Energy Economics, Elsevier, vol. 85(C).
    35. Kai Yao & Kun Duan & Rong Huang & Thanaset Chevapatrakul, 2025. "The Memory in Return Volatility: An Analysis of Mutual Fund Returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 2930-2945, July.
    36. Mishra, Tapas & Park, Donghyun & Parhi, Mamata & Uddin, Gazi Salah & Tian, Shu, 2023. "A memory in the bond: Green bond and sectoral investment interdependence in a fractionally cointegrated VAR framework," Energy Economics, Elsevier, vol. 121(C).
    37. Dimpfl, Thomas & Peter, Franziska J., 2019. "Group transfer entropy with an application to cryptocurrencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 543-551.
    38. Chen, Yu-Lun & Xu, Ke, 2021. "The impact of RMB’s SDR inclusion on price discovery in onshore-offshore markets," Journal of Banking & Finance, Elsevier, vol. 127(C).
    39. Federico Carlini & Paolo Santucci de Magistris, 2019. "Resuscitating the co-fractional model of Granger (1986)," Discussion Papers 19/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    40. Apergis, Nicholas & Carmona-González, Nieves & Gil-Alana, Luis Alberiko, 2020. "Persistence in silver prices and the influence of solar energy," Resources Policy, Elsevier, vol. 69(C).
    41. Gemayel, Roland & Franus, Tatiana & Bowden, James, 2023. "Price discovery between Bitcoin spot markets and exchange traded products," Economics Letters, Elsevier, vol. 228(C).
    42. Chen, Cathy Yi-Hsuan & Chiang, Thomas C. & Härdle, Wolfgang Karl, 2016. "Downside risk and stock returns: An empirical analysis of the long-run and short-run dynamics from the G-7 Countries," SFB 649 Discussion Papers 2016-001, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    43. Xu, Ke & Chen, Yu-Lun & Yang, J. Jimmy, 2023. "Market uncertainty, persistent arbitrage-free violation, and price discovery in RMB market," International Review of Financial Analysis, Elsevier, vol. 90(C).
    44. Dimpfl, Thomas & Flad, Michael & Jung, Robert C., 2017. "Price discovery in agricultural commodity markets in the presence of futures speculation," Journal of Commodity Markets, Elsevier, vol. 5(C), pages 50-62.
    45. Jinghong Wu & Ke Xu & Xinwei Zheng & Jian Chen, 2021. "Fractional cointegration in bitcoin spot and futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(9), pages 1478-1494, September.
    46. Katsushi Nakajima, 2020. "Commodity Spot and Futures Prices Under Supply, Demand, and Financial Trading: Single Input–Output Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(1), pages 35-59, March.
    47. Tule, Moses K. & Salisu, Afees A. & Ebuh, Godday U., 2020. "A test for inflation persistence in Nigeria using fractional integration & fractional cointegration techniques," Economic Modelling, Elsevier, vol. 87(C), pages 225-237.
    48. Ahmed, Osama, 2021. "Assessing the current situation of the world wheat market leadership: Using the semi-parametric approach," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(2).
    49. Jesús Tomás Monge Moreno & Manuel Monge, 2023. "Consumer Sentiment in the United States and the Impact of Mental Disorders on Consumer Behavior—Time Trends and Persistence Analysis," Mathematics, MDPI, vol. 11(13), pages 1-10, July.
    50. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2020. "Modelling Loans to Non-Financial Corporations within the Eurozone: A Long-Memory Approach," CESifo Working Paper Series 8674, CESifo.
    51. Guglielmo Maria Caporale & Luis A. Gil-Alana & Kefei You, 2019. "Stock market linkages between the ASEAN countries, China and the US: a fractional cointegration approach," CESifo Working Paper Series 7537, CESifo.
    52. Filippo Beltrami & Fulvio Fontini & Monica Giulietti & Luigi Grossi, 2022. "The Zonal and Seasonal CO2 Marginal Emissions Factors for the Italian Power Market," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(2), pages 381-411, October.
    53. Karabiyik, Hande & Narayan, Paresh Kumar & Phan, Dinh Hoang Bach & Westerlund, Joakim, 2018. "Islamic spot and index futures markets: Where is the price discovery?," Pacific-Basin Finance Journal, Elsevier, vol. 52(C), pages 123-133.

  30. Morten Ørregaard Nielsen, 2014. "Asymptotics for the conditional-sum-of-squares estimator in multivariate fractional time series models," CREATES Research Papers 2014-34, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Tobias Hartl & Rolf Tschernig & Enzo Weber, 2020. "Fractional trends and cycles in macroeconomic time series," Papers 2005.05266, arXiv.org, revised May 2020.
    2. Tobias Hartl & Rolf Tschernig & Enzo Weber, 2020. "Fractional trends in unobserved components models," Papers 2005.03988, arXiv.org, revised May 2020.
    3. Søren Johansen & Morten Ørregaard Nielsen, 2012. "The role of initial values in nonstationary fractional time series models," Discussion Papers 12-18, University of Copenhagen. Department of Economics.
    4. Andersen, Torben G. & Varneskov, Rasmus T., 2022. "Testing for parameter instability and structural change in persistent predictive regressions," Journal of Econometrics, Elsevier, vol. 231(2), pages 361-386.
    5. Giuseppe Cavaliere & Morten Ø. Nielsen & A.M. Robert Taylor, 2013. "Bootstrap Score Tests For Fractional Integration In Heteroskedastic Arfima Models, With An Application To Price Dynamics In Commodity Spot And Futures Markets," Working Paper 1309, Economics Department, Queen's University.
    6. Torben G. Andersen & Rasmus T. Varneskov, 2018. "Consistent Inference for Predictive Regressions in Persistent VAR Economies," CREATES Research Papers 2018-09, Department of Economics and Business Economics, Aarhus University.
    7. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    8. Ergemen, Yunus Emre & Velasco, Carlos, 2017. "Estimation of fractionally integrated panels with fixed effects and cross-section dependence," Journal of Econometrics, Elsevier, vol. 196(2), pages 248-258.
    9. Morten Ørregaard Nielsen & Sergei S. Shibaev, 2015. "Forecasting daily political opinion polls using the fractionally cointegrated VAR model," Working Paper 1340, Economics Department, Queen's University.
    10. Cavaliere, Giuseppe & Nielsen, Morten Ørregaard & Taylor, A.M. Robert, 2017. "Quasi-maximum likelihood estimation and bootstrap inference in fractional time series models with heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 198(1), pages 165-188.
    11. Yunus Emre Ergemen & Carlos Velasco, 2018. "Persistence Heterogeneity Testing in Panels with Interactive Fixed Effects," CREATES Research Papers 2018-11, Department of Economics and Business Economics, Aarhus University.
    12. Morten Ø. Nielsen & S Johansen, 2012. "The Role Of Initial Values In Conditional Sum-of-squares Estimation Of Nonstationary Fractional Time Series Models," Working Paper 1300, Economics Department, Queen's University.
    13. Yunus Emre Ergemen, 2016. "System Estimation of Panel Data Models under Long-Range Dependence," CREATES Research Papers 2016-02, Department of Economics and Business Economics, Aarhus University.
    14. Mustafa R. K{i}l{i}nc{c} & Michael Massmann, 2024. "The modified conditional sum-of-squares estimator for fractionally integrated models," Papers 2404.12882, arXiv.org, revised Feb 2025.
    15. Tobias Hartl, 2021. "Monitoring the pandemic: A fractional filter for the COVID-19 contact rate," Papers 2102.10067, arXiv.org.
    16. Ergemen, Yunus Emre, 2023. "Parametric estimation of long memory in factor models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1483-1499.
    17. Uwe Hassler & Marc-Oliver Pohle, 2019. "Forecasting under Long Memory and Nonstationarity," Papers 1910.08202, arXiv.org.
    18. Yunus Emre Ergemen, 2022. "Parametric Estimation of Long Memory in Factor Models," CREATES Research Papers 2022-10, Department of Economics and Business Economics, Aarhus University.
    19. Yacouba Boubacar Maïnassara & Youssef Esstafa & Bruno Saussereau, 2021. "Estimating FARIMA models with uncorrelated but non-independent error terms," Statistical Inference for Stochastic Processes, Springer, vol. 24(3), pages 549-608, October.
    20. Rasmus T. Varneskov & Pierre Perron, 2015. "Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns," Boston University - Department of Economics - Working Papers Series wp2015-015, Boston University - Department of Economics.
    21. Javier Hualde & Morten Ørregaard Nielsen, 2022. "Truncated sum-of-squares estimation of fractional time series models with generalized power law trend," CREATES Research Papers 2022-07, Department of Economics and Business Economics, Aarhus University.

  31. Andreas Noack Jensen & Morten Ørregaard Nielsen, 2013. "A fast fractional difference algorithm," Discussion Papers 13-04, University of Copenhagen. Department of Economics.

    Cited by:

    1. J. Eduardo Vera-Valdés, 2021. "Nonfractional Long-Range Dependence: Long Memory, Antipersistence, and Aggregation," Econometrics, MDPI, vol. 9(4), pages 1-18, October.
    2. Maggie E. C. Jones & Morten Ørregaard Nielsen & Michael Ksawery Popiel, 2014. "A fractionally cointegrated VAR analysis of economic voting and political support," CREATES Research Papers 2014-23, Department of Economics and Business Economics, Aarhus University.
    3. Klein, Tony & Walther, Thomas, 2017. "Fast fractional differencing in modeling long memory of conditional variance for high-frequency data," Finance Research Letters, Elsevier, vol. 22(C), pages 274-279.
    4. Lunina, Veronika, 2016. "Joint Modelling of Power Price, Temperature, and Hydrological Balance with a View towards Scenario Analysis," Working Papers 2016:30, Lund University, Department of Economics.
    5. Morten Ørregaard Nielsen & Antoine L. Noël, 2020. "To infinity and beyond: Efficient computation of ARCH(1) models," CREATES Research Papers 2020-13, Department of Economics and Business Economics, Aarhus University.
    6. Masoud Ataei & Shengyuan Chen & Zijiang Yang & M. Reza Peyghami, 2021. "Theory and Applications of Financial Chaos Index," Papers 2101.02288, arXiv.org.
    7. Sepideh Dolatabadi & Paresh Kumar Narayan & Morten Ørregaard Nielsen & Ke Xu, 2018. "Economic significance of commodity return forecasts from the fractionally cointegrated VAR model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(2), pages 219-242, February.
    8. Dolatabadi, Sepideh & Nielsen, Morten Ørregaard & Xu, Ke, 2016. "A fractionally cointegrated VAR model with deterministic trends and application to commodity futures markets," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 623-639.
    9. Li, Yuanbo & Chan, Chu Kin & Yau, Chun Yip & Ng, Wai Leong & Lam, Henry, 2024. "Burn-in selection in simulating stationary time series," Computational Statistics & Data Analysis, Elsevier, vol. 192(C).
    10. Alexander Boca Saravia & Gabriel Rodríguez, 2022. "Presidential approval in Peru: an empirical analysis using a fractionally cointegrated VAR," Economic Change and Restructuring, Springer, vol. 55(3), pages 1973-2010, August.
    11. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    12. Stefanos Kechagias & Vladas Pipiras, 2020. "Modeling bivariate long‐range dependence with general phase," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(2), pages 268-292, March.
    13. Chevillon, Guillaume & Hecq, Alain & Laurent, Sébastien, 2018. "Generating univariate fractional integration within a large VAR(1)," Journal of Econometrics, Elsevier, vol. 204(1), pages 54-65.
    14. Sepideh Dolatabadi & Morten Ørregaard Nielsen & Ke Xu, 2015. "A Fractionally Cointegrated VAR Analysis of Price Discovery in Commodity Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 339-356, April.
    15. Ke Xu & Yu‐Lun Chen & Bo Liu & Jian Chen, 2024. "Price discovery and long‐memory property: Simulation and empirical evidence from the bitcoin market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(4), pages 605-618, April.
    16. Dark, Jonathan, 2024. "An adaptive long memory conditional correlation model," Journal of Empirical Finance, Elsevier, vol. 75(C).
    17. Dark, Jonathan, 2015. "Futures hedging with Markov switching vector error correction FIEGARCH and FIAPARCH," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 269-285.
    18. Morten Ørregaard Nielsen & Sergei S. Shibaev, 2015. "Forecasting daily political opinion polls using the fractionally cointegrated VAR model," Working Paper 1340, Economics Department, Queen's University.
    19. Morten Ø. Nielsen & S Johansen, 2018. "Nonstationary Cointegration In The Fractionally Cointegrated Var Model," Working Paper 1405, Economics Department, Queen's University.
    20. Soeren Johansen & Morten Oeregaard Nielsen, 2017. "Testing the CVAR in the fractional CVAR model," Discussion Papers 17-23, University of Copenhagen. Department of Economics.
    21. Jason R. Blevins, 2025. "Semiparametric Estimation of Fractional Integration: An Evaluation of Local Whittle Methods," Papers 2511.15689, arXiv.org, revised Dec 2025.
    22. Håvard Hungnes, 2016. "Fractionality and co-fractionality between Government Bond yields," Discussion Papers 838, Statistics Norway, Research Department.
    23. Contreras-Reyes, Javier E., 2022. "Rényi entropy and divergence for VARFIMA processes based on characteristic and impulse response functions," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
    24. Giuseppe Brandi & T. Di Matteo, 2020. "A new multilayer network construction via Tensor learning," Papers 2004.05367, arXiv.org.
    25. Gao, Guangyuan & Ho, Kin-Yip & Shi, Yanlin, 2020. "Long memory or regime switching in volatility? Evidence from high-frequency returns on the U.S. stock indices," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    26. Hollstein, Fabian, 2020. "Estimating beta: The international evidence," Journal of Banking & Finance, Elsevier, vol. 121(C).
    27. Shi, Yanlin & Ho, Kin-Yip, 2015. "Long memory and regime switching: A simulation study on the Markov regime-switching ARFIMA model," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 189-204.
    28. Morten Ø. Nielsen & Michal Ksawery Popiel, 2018. "A Matlab Program And User's Guide For The Fractionally Cointegrated Var Model," Working Paper 1330, Economics Department, Queen's University.
    29. J. Eduardo Vera-Vald'es, 2018. "Nonfractional Memory: Filtering, Antipersistence, and Forecasting," Papers 1801.06677, arXiv.org.
    30. Mustafa R. K{i}l{i}nc{c} & Michael Massmann, 2024. "The modified conditional sum-of-squares estimator for fractionally integrated models," Papers 2404.12882, arXiv.org, revised Feb 2025.
    31. Morten Ørregaard Nielsen & Antoine L. Noël, 2020. "To infinity and beyond: Efficient computation of ARCH(\infty) models," Working Paper 1425, Economics Department, Queen's University.
    32. Morten Ørregaard Nielsen & Antoine L. Noël, 2021. "To infinity and beyond: Efficient computation of ARCH(∞) models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(3), pages 338-354, May.
    33. J. Eduardo Vera‐Valdés, 2020. "On long memory origins and forecast horizons," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 811-826, August.
    34. Haldrup, Niels & Vera Valdés, J. Eduardo, 2017. "Long memory, fractional integration, and cross-sectional aggregation," Journal of Econometrics, Elsevier, vol. 199(1), pages 1-11.
    35. Cheung, Ying Lun, 2020. "Nonstationarity-extended Whittle estimation with discontinuity: A correction," Economics Letters, Elsevier, vol. 187(C).
    36. Ataei, Masoud & Chen, Shengyuan & Yang, Zijiang & Peyghami, M. Reza, 2021. "Theory and applications of financial chaos index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    37. Baillie, Richard T. & Cho, Dooyeon & Rho, Seunghwa, 2024. "Combining Long and Short Memory in Time Series Models: the Role of Asymptotic Correlations of the MLEs," Econometrics and Statistics, Elsevier, vol. 29(C), pages 88-112.
    38. Jochen Heberle & Cristina Sattarhoff, 2017. "A Fast Algorithm for the Computation of HAC Covariance Matrix Estimators," Econometrics, MDPI, vol. 5(1), pages 1-16, January.

  32. Bent Jesper Christensen & Morten Ørregaard Nielsen & Jie Zhu, 2012. "The impact of financial crises on the risk-return tradeoff and the leverage effect," CREATES Research Papers 2012-19, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Suzanne G. M. Fifield & David G. McMillan & Fiona J. McMillan, 2020. "Is there a risk and return relation?," The European Journal of Finance, Taylor & Francis Journals, vol. 26(11), pages 1075-1101, July.
    2. Chen, Junping & Xiong, Xiong & Zhu, Jie & Zhu, Xiaoneng, 2017. "Asset prices and economic fluctuations: The implications of stochastic volatility," Economic Modelling, Elsevier, vol. 64(C), pages 128-140.
    3. Liu, Jingzhen, 2019. "Impacts of lagged returns on the risk-return relationship of Chinese aggregate stock market: Evidence from different data frequencies," Research in International Business and Finance, Elsevier, vol. 48(C), pages 243-257.
    4. M. MALLIKARJUNA & R. Prabhakara RAO, 2019. "Volatility experience of major world stock markets," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(621), W), pages 35-52, Winter.
    5. Bent Jesper Christensen & Morten Ørregaard Nielsen & Jie Zhu, 2012. "The impact of financial crises on the risk-return tradeoff and the leverage effect," CREATES Research Papers 2012-19, Department of Economics and Business Economics, Aarhus University.
    6. Ashraf, Dawood & Felixson, Karl & Khawaja, Mohsin & Hussain, Syed Mujahid, 2017. "Do constraints on financial and operating leverage affect the performance of Islamic equity portfolios?," Pacific-Basin Finance Journal, Elsevier, vol. 42(C), pages 171-182.
    7. Mihaly Ormos & Dusan Timotity, 2015. "Generalized asset pricing: Expected Downside Risk-Based Equilibrium Modelling," Papers 1512.01806, arXiv.org.
    8. Horpestad, Jone B. & Lyócsa, Štefan & Molnár, Peter & Olsen, Torbjørn B., 2019. "Asymmetric volatility in equity markets around the world," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 540-554.
    9. Gong, Yuting & Chen, Qiang & Liang, Jufang, 2018. "A mixed data sampling copula model for the return-liquidity dependence in stock index futures markets," Economic Modelling, Elsevier, vol. 68(C), pages 586-598.
    10. Jianxu Liu & Quanrui Song & Yang Qi & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "Measurement of Systemic Risk in Global Financial Markets and Its Application in Forecasting Trading Decisions," Sustainability, MDPI, vol. 12(10), pages 1-15, May.
    11. Jia, Yun & Yang, Chunpeng, 2017. "Disagreement and the risk-return relation," Economic Modelling, Elsevier, vol. 64(C), pages 97-104.
    12. Aboura, Sofiane & Chevallier, Julien, 2018. "Tail risk and the return-volatility relation," Research in International Business and Finance, Elsevier, vol. 46(C), pages 16-29.
    13. Newaz, Mohammad Khaleq & Park, Jin Suk, 2019. "The impact of trade intensity and Market characteristics on asymmetric volatility, spillovers and asymmetric spillovers: Evidence from the response of international stock markets to US shocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 79-94.

  33. Morten Ø. Nielsen & S Johansen, 2012. "The Role Of Initial Values In Conditional Sum-of-squares Estimation Of Nonstationary Fractional Time Series Models," Working Paper 1300, Economics Department, Queen's University.

    Cited by:

    1. Yan, Meng & Chen, Jian & Song, Victor & Xu, Ke, 2022. "Trade friction and price discovery in the USD–CAD spot and forward markets," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    2. Morten Ørregaard Nielsen & Antoine L. Noël, 2020. "To infinity and beyond: Efficient computation of ARCH(1) models," CREATES Research Papers 2020-13, Department of Economics and Business Economics, Aarhus University.
    3. Quineche Ricardo, 2021. "Consumption, Aggregate Wealth and Expected Stock Returns: An FCVAR Approach," Journal of Time Series Econometrics, De Gruyter, vol. 13(1), pages 21-42, January.
    4. Gagnon, Marie-Hélène & Power, Gabriel J. & Toupin, Dominique, 2016. "International stock market cointegration under the risk-neutral measure," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 243-255.
    5. Sepideh Dolatabadi & Paresh Kumar Narayan & Morten Ørregaard Nielsen & Ke Xu, 2018. "Economic significance of commodity return forecasts from the fractionally cointegrated VAR model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(2), pages 219-242, February.
    6. Dolatabadi, Sepideh & Nielsen, Morten Ørregaard & Xu, Ke, 2016. "A fractionally cointegrated VAR model with deterministic trends and application to commodity futures markets," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 623-639.
    7. S{o}ren Johansen & Morten {O}rregaard Nielsen, 2022. "Weak convergence to derivatives of fractional Brownian motion," Papers 2208.02516, arXiv.org, revised Oct 2022.
    8. Alexander Boca Saravia & Gabriel Rodríguez, 2022. "Presidential approval in Peru: an empirical analysis using a fractionally cointegrated VAR," Economic Change and Restructuring, Springer, vol. 55(3), pages 1973-2010, August.
    9. Duan, Kun & Li, Zeming & Urquhart, Andrew & Ye, Jinqiang, 2021. "Dynamic efficiency and arbitrage potential in Bitcoin: A long-memory approach," International Review of Financial Analysis, Elsevier, vol. 75(C).
    10. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    11. Stoupos, Nikolaos & Kiohos, Apostolos, 2022. "Bond markets integration in the EU: New empirical evidence from the Eastern non-euro member-states," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    12. Cavaliere, Giuseppe & Nielsen, Morten Ørregaard & Taylor, A.M. Robert, 2015. "Bootstrap score tests for fractional integration in heteroskedastic ARFIMA models, with an application to price dynamics in commodity spot and futures markets," Journal of Econometrics, Elsevier, vol. 187(2), pages 557-579.
    13. Chevillon, Guillaume & Hecq, Alain & Laurent, Sébastien, 2018. "Generating univariate fractional integration within a large VAR(1)," Journal of Econometrics, Elsevier, vol. 204(1), pages 54-65.
    14. Yaya, OlaOluwa S & Ogbonna, Ephraim A & Olubusoye, Olusanya E, 2018. "How Persistent and Dependent are Pricing of Bitcoin to other Cryptocurrencies Before and After 2017/18 Crash?," MPRA Paper 91253, University Library of Munich, Germany.
    15. Ke Xu & Yu‐Lun Chen & Bo Liu & Jian Chen, 2024. "Price discovery and long‐memory property: Simulation and empirical evidence from the bitcoin market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(4), pages 605-618, April.
    16. Abbritti, Mirko & Carcel, Hector & Gil-Alana, Luis & Moreno, Antonio, 2023. "Term premium in a fractionally cointegrated yield curve," Journal of Banking & Finance, Elsevier, vol. 149(C).
    17. Morten Ørregaard Nielsen & Sergei S. Shibaev, 2016. "Forecasting daily political opinion polls using the fractionally cointegrated VAR model," CREATES Research Papers 2016-30, Department of Economics and Business Economics, Aarhus University.
    18. Morten Ø. Nielsen & S Johansen, 2018. "Nonstationary Cointegration In The Fractionally Cointegrated Var Model," Working Paper 1405, Economics Department, Queen's University.
    19. Davide Delle Monache & Stefano Grassi & Paolo Santucci de Magistris, 2017. "Does the ARFIMA really shift?," CREATES Research Papers 2017-16, Department of Economics and Business Economics, Aarhus University.
    20. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Nicola Rubino & Inmaculada Vilchez, 2024. "Modelling Loans to Non-Financial Corporations in the Eurozone: A Long-Memory Approach," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 30(3), pages 231-254, August.
    21. Soeren Johansen & Morten Oeregaard Nielsen, 2017. "Testing the CVAR in the fractional CVAR model," Discussion Papers 17-23, University of Copenhagen. Department of Economics.
    22. Mustanen, Dmitri & Maaitah, Ahmad & Mishra, Tapas & Parhi, Mamata, 2022. "The power of investors’ optimism and pessimism in oil market forecasting," Energy Economics, Elsevier, vol. 114(C).
    23. Stoupos, Nikolaos & Kiohos, Apostolos, 2021. "Energy commodities and advanced stock markets: A post-crisis approach," Resources Policy, Elsevier, vol. 70(C).
    24. Nikolaos Stoupos & Apostolos Kiohos, 2022. "Euro Area: Towards a European Common Bond? – Empirical Evidence from the Sovereign Debt Markets," Journal of Common Market Studies, Wiley Blackwell, vol. 60(4), pages 1019-1046, July.
    25. Stoupos, Nikolaos & Kiohos, Apostolos, 2022. "Euro area stock markets integration: Empirical evidence after the end of 2010 debt crisis," Finance Research Letters, Elsevier, vol. 46(PB).
    26. OlaOluwa S. Yaya & Nurudeen Abu & Tayo P. Ogundunmade, 2021. "Economic policy uncertainty in G7 countries: evidence of long-range dependence and cointegration," Economic Change and Restructuring, Springer, vol. 54(2), pages 541-556, May.
    27. Bravo Caro, José Manuel & Golpe, Antonio A. & Iglesias, Jesús & Vides, José Carlos, 2020. "A new way of measuring the WTI – Brent spread. Globalization, shock persistence and common trends," Energy Economics, Elsevier, vol. 85(C).
    28. Hassler, Uwe & Hosseinkouchack, Mehdi, 2020. "Estimating the mean under strong persistence," Economics Letters, Elsevier, vol. 188(C).
    29. Chen, Yu-Lun & Xu, Ke, 2021. "The impact of RMB’s SDR inclusion on price discovery in onshore-offshore markets," Journal of Banking & Finance, Elsevier, vol. 127(C).
    30. Yaya, OlaOluwa S & Gil-Alana, Luis A., 2018. "High and Low Intraday Commodity Prices: A Fractional Integration and Cointegration Approach," MPRA Paper 90518, University Library of Munich, Germany.
    31. Morten Ørregaard Nielsen & Antoine L. Noël, 2021. "To infinity and beyond: Efficient computation of ARCH(∞) models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(3), pages 338-354, May.
    32. Uwe Hassler & Marc-Oliver Pohle, 2019. "Forecasting under Long Memory and Nonstationarity," Papers 1910.08202, arXiv.org.
    33. Filippo Beltrami & Fulvio Fontini & Monica Giulietti & Luigi Grossi, 2021. "The zonal and seasonal CO2 marginal emissions factors for the Italian power market," Working Papers 01/2021, University of Verona, Department of Economics.
    34. Xu, Ke & Chen, Yu-Lun & Yang, J. Jimmy, 2023. "Market uncertainty, persistent arbitrage-free violation, and price discovery in RMB market," International Review of Financial Analysis, Elsevier, vol. 90(C).
    35. Javier Hualde & Morten Ørregaard Nielsen, 2022. "Truncated sum-of-squares estimation of fractional time series models with generalized power law trend," CREATES Research Papers 2022-07, Department of Economics and Business Economics, Aarhus University.

  34. Søren Johansen & Morten Ørregaard Nielsen, 2012. "The role of initial values in nonstationary fractional time series models," CREATES Research Papers 2012-47, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Rossi, Eduardo & Santucci de Magistris, Paolo, 2013. "Long memory and tail dependence in trading volume and volatility," Journal of Empirical Finance, Elsevier, vol. 22(C), pages 94-112.
    2. Alexander Boca Saravia & Gabriel Rodríguez, 2019. "Presidential Approval in Peru: An Empirical Analysis Using a Fractionally Cointegrated VAR," Documentos de Trabajo / Working Papers 2019-480, Departamento de Economía - Pontificia Universidad Católica del Perú.
    3. Sepideh Dolatabadi & Morten Ørregaard Nielsen & Ke Xu, 2015. "A Fractionally Cointegrated VAR Analysis of Price Discovery in Commodity Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 339-356, April.
    4. Christensen, Bent Jesper & Kruse, Robinson & Sibbertsen, Philipp, 2013. "A unified framework for testing in the linear regression model under unknown order of fractional integration," Hannover Economic Papers (HEP) dp-519, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    5. Afsin Sahin, 2019. "Loom of Symmetric Pass-Through," Economies, MDPI, vol. 7(1), pages 1-25, February.
    6. Jesús Tomás Monge Moreno & Manuel Monge, 2023. "Consumer Sentiment in the United States and the Impact of Mental Disorders on Consumer Behavior—Time Trends and Persistence Analysis," Mathematics, MDPI, vol. 11(13), pages 1-10, July.

  35. H. Peter Boswijk & Michael Jansson & Morten Ørregaard Nielsen, 2012. "Improved Likelihood Ratio Tests for Cointegration Rank in the VAR Model," CREATES Research Papers 2012-39, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Liang, Chong & Schienle, Melanie, 2019. "Determination of vector error correction models in high dimensions," Working Paper Series in Economics 124, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    2. Marc Hallin & Ramon van den Akker & Bas Werker, 2012. "Rank-Based Tests of the Cointegrating Rank in Semiparametric Error Correction Models," Working Papers ECARES ECARES 2012-042, ULB -- Universite Libre de Bruxelles.
    3. Skrobotov Anton, 2018. "On Bootstrap Implementation of Likelihood Ratio Test for a Unit Root," Working Papers wpaper-2018-302, Gaidar Institute for Economic Policy, revised 2018.
    4. Matteo Barigozzi & Giuseppe Cavaliere & Lorenzo Trapani, 2021. "Inference in heavy-tailed non-stationary multivariate time series," Papers 2107.13894, arXiv.org.
    5. Samuel Brien & Michael Jansson & Morten Ørregaard Nielsen, 2022. "Nearly Efficient Likelihood Ratio Tests of a Unit Root in an Autoregressive Model of Arbitrary Order," Working Paper 1429, Economics Department, Queen's University.
    6. Al-Sadoon, Majid M., 2017. "A unifying theory of tests of rank," Journal of Econometrics, Elsevier, vol. 199(1), pages 49-62.
    7. Pierre Perron & Gabriel Rodríguez, "undated". "Residuals-based Tests for Cointegration with GLS Detrended Data," Boston University - Department of Economics - Working Papers Series wp2015-017, Boston University - Department of Economics, revised 19 Oct 2015.
    8. Hallin, M. & Werker, B.J.M. & van den Akker, R., 2015. "Optimal Pseudo-Gaussian and Rank-based Tests of the Cointegration Rank in Semiparametric Error-correction Models," Discussion Paper 2015-001, Tilburg University, Center for Economic Research.
    9. Zhou, Bo, 2024. "Semiparametrically optimal cointegration test," Journal of Econometrics, Elsevier, vol. 242(2).
    10. Hallin, Marc & van den Akker, Ramon & Werker, Bas J.M., 2016. "Semiparametric error-correction models for cointegration with trends: Pseudo-Gaussian and optimal rank-based tests of the cointegration rank," Journal of Econometrics, Elsevier, vol. 190(1), pages 46-61.

  36. Morten Ørregaard Nielsen & Per Frederiksen, 2010. "Fully Modified Narrow-Band Least Squares Estimation of Weak Fractional Cointegration," CREATES Research Papers 2010-31, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Hualde, Javier, 2014. "Estimation of long-run parameters in unbalanced cointegration," Journal of Econometrics, Elsevier, vol. 178(2), pages 761-778.
    2. Abry, Patrice & Didier, Gustavo, 2018. "Wavelet eigenvalue regression for n-variate operator fractional Brownian motion," Journal of Multivariate Analysis, Elsevier, vol. 168(C), pages 75-104.
    3. Marcel Aloy & Gilles Truchis, 2016. "Optimal Estimation Strategies for Bivariate Fractional Cointegration Systems and the Co-persistence Analysis of Stock Market Realized Volatilities," Computational Economics, Springer;Society for Computational Economics, vol. 48(1), pages 83-104, June.
    4. Leschinski, Christian & Voges, Michelle & Sibbertsen, Philipp, 2019. "A Comparison of Semiparametric Tests for Fractional Cointegration," Hannover Economic Papers (HEP) dp-651, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    5. Gilles de Truchis & Elena Ivona Dumitrescu, 2019. "Narrow-band Weighted Nonlinear Least Squares Estimation of Unbalanced Cointegration Systems," EconomiX Working Papers 2019-14, University of Paris Nanterre, EconomiX.
    6. Andersen, Torben G. & Varneskov, Rasmus T., 2022. "Testing for parameter instability and structural change in persistent predictive regressions," Journal of Econometrics, Elsevier, vol. 231(2), pages 361-386.
    7. Alexander Boca Saravia & Gabriel Rodríguez, 2022. "Presidential approval in Peru: an empirical analysis using a fractionally cointegrated VAR," Economic Change and Restructuring, Springer, vol. 55(3), pages 1973-2010, August.
    8. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    9. Hector Carcel & Luis A. Gil-Alana, 2018. "Inflation analysis in the Central American Monetary Council," Empirical Economics, Springer, vol. 54(2), pages 547-565, March.
    10. Barunik, Jozef & Barunikova, Michaela, 2015. "Revisiting the long memory dynamics of implied-realized volatility relation: A new evidence from wavelet band spectrum regression," FinMaP-Working Papers 43, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    11. Patrice Abry & Gustavo Didier & Hui Li, 2019. "Two-step wavelet-based estimation for Gaussian mixed fractional processes," Statistical Inference for Stochastic Processes, Springer, vol. 22(2), pages 157-185, July.
    12. Pérez-Rodríguez, Jorge V. & Andrada-Félix, Julián & Rachinger, Heiko, 2021. "Testing the forward volatility unbiasedness hypothesis in exchange rates under long-range dependence," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    13. Christensen, Bent Jesper & Varneskov, Rasmus Tangsgaard, 2017. "Medium band least squares estimation of fractional cointegration in the presence of low-frequency contamination," Journal of Econometrics, Elsevier, vol. 197(2), pages 218-244.
    14. Hualde Javier & Iacone Fabrizio, 2012. "First Stage Estimation of Fractional Cointegration," Journal of Time Series Econometrics, De Gruyter, vol. 4(1), pages 1-32, May.
    15. Guglielmo Maria Caporale & Luis A. Gil-Alana & C. James Orlando, 2015. "Linkages between the US and European Stock Markets: A Fractional Cointegration Approach," CESifo Working Paper Series 5523, CESifo.
    16. Zhenxiong Li & Marwan Izzeldin & Xingzhi Yao, 2020. "Return predictability of variance differences: A fractionally cointegrated approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(7), pages 1072-1089, July.
    17. de Truchis, Gilles & Keddad, Benjamin, 2013. "Southeast Asian monetary integration: New evidences from fractional cointegration of real exchange rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 394-412.
    18. Niels Haldrup & Robinson Kruse, 2014. "Discriminating between fractional integration and spurious long memory," CREATES Research Papers 2014-19, Department of Economics and Business Economics, Aarhus University.
    19. Jozef Barunik & Michaela Barunikova, 2012. "Revisiting the fractional cointegrating dynamics of implied-realized volatility relation with wavelet band spectrum regression," Papers 1208.4831, arXiv.org, revised Feb 2013.
    20. Jorge V. Pérez-Rodríguez, 2020. "Another look at the implied and realised volatility relation: a copula-based approach," Risk Management, Palgrave Macmillan, vol. 22(1), pages 38-64, March.
    21. Tilfani, Oussama & Kristoufek, Ladislav & Ferreira, Paulo & El Boukfaoui, My Youssef, 2022. "Heterogeneity in economic relationships: Scale dependence through the multivariate fractal regression," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    22. Christoph Wegener & Tobias Basse & Philipp Sibbertsen & Duc Khuong Nguyen, 2019. "Liquidity risk and the covered bond market in times of crisis: empirical evidence from Germany," Annals of Operations Research, Springer, vol. 282(1), pages 407-426, November.
    23. Guglielmo Caporale & Luis Gil-Alana, 2014. "Fractional integration and cointegration in US financial time series data," Empirical Economics, Springer, vol. 47(4), pages 1389-1410, December.
    24. Sibbertsen, Philipp & Leschinski, Christian & Holzhausen, Marie, 2015. "A Multivariate Test Against Spurious Long Memory," Hannover Economic Papers (HEP) dp-547, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    25. Baruník, Jozef & Hlínková, Michaela, 2016. "Revisiting the long memory dynamics of the implied–realized volatility relationship: New evidence from the wavelet regression," Economic Modelling, Elsevier, vol. 54(C), pages 503-514.
    26. Sophie Achard & Irène Gannaz, 2024. "Local Whittle estimation with (quasi‐)analytic wavelets," Journal of Time Series Analysis, Wiley Blackwell, vol. 45(3), pages 421-443, May.
    27. Marcel Aloy & Gilles de Truchis, 2013. "Optimal Estimation Strategies for Bivariate Fractional Cointegration Systems," AMSE Working Papers 1353, Aix-Marseille School of Economics, France, revised 29 Oct 2013.
    28. Andersen, Torben G. & Varneskov, Rasmus T., 2021. "Consistent inference for predictive regressions in persistent economic systems," Journal of Econometrics, Elsevier, vol. 224(1), pages 215-244.
    29. Zhou, Xinmiao & Qian, Huanhuan & Pérez-Rodríguez, Jorge. V. & González López-Valcárcel, Beatriz, 2020. "Risk dependence and cointegration between pharmaceutical stock markets: The case of China and the USA," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    30. de Truchis, Gilles, 2013. "Approximate Whittle analysis of fractional cointegration and the stock market synchronization issue," Economic Modelling, Elsevier, vol. 34(C), pages 98-105.
    31. Shimotsu, Katsumi, 2012. "Exact local Whittle estimation of fractionally cointegrated systems," Journal of Econometrics, Elsevier, vol. 169(2), pages 266-278.
    32. Stefanos Kechagias & Vladas Pipiras, 2015. "Definitions And Representations Of Multivariate Long-Range Dependent Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(1), pages 1-25, January.
    33. Sizova, Natalia, 2014. "A frequency-domain alternative to long-horizon regressions with application to return predictability," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 261-272.
    34. Gilles de Truchis & Florent Dubois & Elena Ivona Dumitrescu, 2019. "Local Whittle Analysis of Stationary Unbalanced Fractional Cointegration Systems," Working Papers hal-04141882, HAL.
    35. Javier Hualde & Fabrizio Iacone, 2015. "Small-b and Fixed-b Asymptotics for Weighted Covariance Estimation in Fractional Cointegration," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(4), pages 528-540, July.
    36. Marcel Aloy & Gilles de Truchis, 2012. "Estimation and Testing for Fractional Cointegration," Working Papers halshs-00793206, HAL.
    37. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Robert Mudida, 2015. "Testing the Marshall–Lerner Condition in Kenya," South African Journal of Economics, Economic Society of South Africa, vol. 83(2), pages 253-268, June.
    38. Do, Hung Xuan & Brooks, Robert Darren & Treepongkaruna, Sirimon, 2013. "Generalized impulse response analysis in a fractionally integrated vector autoregressive model," Economics Letters, Elsevier, vol. 118(3), pages 462-465.

  37. Søren Johansen & Morten Ørregaard Nielsen, 2010. "A necessary moment condition for the fractional functional central limit theorem," CREATES Research Papers 2010-70, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Morten Ørregaard Nielsen, 2014. "Asymptotics for the conditional-sum-of-squares estimator in multivariate fractional time series models," CREATES Research Papers 2014-34, Department of Economics and Business Economics, Aarhus University.
    2. Morten Ø. Nielsen & S Johansen, 2018. "Nonstationary Cointegration In The Fractionally Cointegrated Var Model," Working Paper 1405, Economics Department, Queen's University.
    3. Soeren Johansen & Morten Oeregaard Nielsen, 2017. "Testing the CVAR in the fractional CVAR model," Discussion Papers 17-23, University of Copenhagen. Department of Economics.
    4. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    5. Mustafa R. K{i}l{i}nc{c} & Michael Massmann, 2024. "The modified conditional sum-of-squares estimator for fractionally integrated models," Papers 2404.12882, arXiv.org, revised Feb 2025.
    6. Man Wang & Ngai Hang Chan, 2016. "Testing for the Equality of Integration Orders of Multiple Series," Econometrics, MDPI, vol. 4(4), pages 1-10, December.

  38. Søren Johansen & Morten Ørregaard Nielsen, 2010. "Likelihood inference for a fractionally cointegrated vector autoregressive model," CREATES Research Papers 2010-24, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Maggie E. C. Jones & Morten Ørregaard Nielsen & Michael Ksawery Popiel, 2014. "A fractionally cointegrated VAR analysis of economic voting and political support," CREATES Research Papers 2014-23, Department of Economics and Business Economics, Aarhus University.
    2. Samet Gunay, 2018. "Fractionally Cointegrated Vector Autoregression Model: Evaluation of High/Low and Close/Open Spreads for Precious Metals," SAGE Open, , vol. 8(4), pages 21582440188, November.
    3. Luis Alberiko A. Gil-Alana & María Jesús González-Blanch & Carlos Poza, 2025. "Labour market mismatches in G7 countries: a fractional integration approach," Applied Economics, Taylor & Francis Journals, vol. 57(7), pages 736-752, February.
    4. Hualde, Javier, 2014. "Estimation of long-run parameters in unbalanced cointegration," Journal of Econometrics, Elsevier, vol. 178(2), pages 761-778.
    5. Gloria Claudio-Quiroga & Luis Alberiko Gil-Alana & Andoni Maiza-Larrarte, 2025. "Mean reversion and long memory dynamics in the Shanghai Containerized Freight Index," Journal of Shipping and Trade, Springer, vol. 10(1), pages 1-17, December.
    6. Yan, Meng & Chen, Jian & Song, Victor & Xu, Ke, 2022. "Trade friction and price discovery in the USD–CAD spot and forward markets," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    7. Luis A. Gil-Alana & Sakiru Adebola Solarin & Mehmet Balcilar & Rangan Gupta, 2023. "Productivity and GDP: international evidence of persistence and trends over 130 years of data," Empirical Economics, Springer, vol. 64(3), pages 1219-1246, March.
    8. Masoud Ataei & Shengyuan Chen & Zijiang Yang & M. Reza Peyghami, 2021. "Theory and Applications of Financial Chaos Index," Papers 2101.02288, arXiv.org.
    9. Galán-Gutiérrez, Juan Antonio & Martín-García, Rodrigo, 2021. "Cointegration between the structure of copper futures prices and Brexit," Resources Policy, Elsevier, vol. 71(C).
    10. Quineche Ricardo, 2021. "Consumption, Aggregate Wealth and Expected Stock Returns: An FCVAR Approach," Journal of Time Series Econometrics, De Gruyter, vol. 13(1), pages 21-42, January.
    11. Oyebayo Ridwan Olaniran & Saidat Fehintola Olaniran & Ali Rashash R. Alzahrani & Nada MohammedSaeed Alharbi & Asma Ahmad Alzahrani, 2025. "Bayesian Tapered Narrowband Least Squares for Fractional Cointegration Testing in Panel Data," Mathematics, MDPI, vol. 13(10), pages 1-28, May.
    12. Marcel Aloy & Gilles Truchis, 2016. "Optimal Estimation Strategies for Bivariate Fractional Cointegration Systems and the Co-persistence Analysis of Stock Market Realized Volatilities," Computational Economics, Springer;Society for Computational Economics, vol. 48(1), pages 83-104, June.
    13. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Leyre Muñoz, 2025. "Earthquakes and Stock Market Performance: Evidence from Japan," CESifo Working Paper Series 11822, CESifo.
    14. Daniela Osterrieder, 2013. "Interest Rates with Long Memory: A Generalized Affine Term-Structure Model," CREATES Research Papers 2013-17, Department of Economics and Business Economics, Aarhus University.
    15. Gagnon, Marie-Hélène & Power, Gabriel J. & Toupin, Dominique, 2016. "International stock market cointegration under the risk-neutral measure," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 243-255.
    16. Tobias Hartl & Rolf Tschernig & Enzo Weber, 2020. "Fractional trends in unobserved components models," Papers 2005.03988, arXiv.org, revised May 2020.
    17. Sepideh Dolatabadi & Paresh Kumar Narayan & Morten Ørregaard Nielsen & Ke Xu, 2018. "Economic significance of commodity return forecasts from the fractionally cointegrated VAR model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(2), pages 219-242, February.
    18. Xu, Ke & Stewart, Kenneth G. & Cao, Zeyang, 2022. "Fractional cointegration and price discovery in Canadian commodities," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    19. Leschinski, Christian & Voges, Michelle & Sibbertsen, Philipp, 2019. "A Comparison of Semiparametric Tests for Fractional Cointegration," Hannover Economic Papers (HEP) dp-651, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    20. Dolatabadi, Sepideh & Nielsen, Morten Ørregaard & Xu, Ke, 2016. "A fractionally cointegrated VAR model with deterministic trends and application to commodity futures markets," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 623-639.
    21. Søren Johansen & Morten Ørregaard Nielsen, 2012. "The role of initial values in nonstationary fractional time series models," Discussion Papers 12-18, University of Copenhagen. Department of Economics.
    22. S{o}ren Johansen & Morten {O}rregaard Nielsen, 2022. "Weak convergence to derivatives of fractional Brownian motion," Papers 2208.02516, arXiv.org, revised Oct 2022.
    23. Gil-Alana, Luis A. & Yaya, OlaOluwa S, 2018. "How do Stocks in BRICS co-move with REITs?," MPRA Paper 88753, University Library of Munich, Germany.
    24. Gilles de Truchis & Elena Ivona Dumitrescu, 2019. "Narrow-band Weighted Nonlinear Least Squares Estimation of Unbalanced Cointegration Systems," EconomiX Working Papers 2019-14, University of Paris Nanterre, EconomiX.
    25. Andersen, Torben G. & Varneskov, Rasmus T., 2022. "Testing for parameter instability and structural change in persistent predictive regressions," Journal of Econometrics, Elsevier, vol. 231(2), pages 361-386.
    26. Matteo Luciani & David Veredas, 2012. "A model for vast panels of volatilities," Working Papers 1230, Banco de España.
    27. Alexander Boca Saravia & Gabriel Rodríguez, 2022. "Presidential approval in Peru: an empirical analysis using a fractionally cointegrated VAR," Economic Change and Restructuring, Springer, vol. 55(3), pages 1973-2010, August.
    28. Gil-Alana, Luis A. & Infante, Juan & Martín-Valmayor, Miguel Angel, 2023. "Persistence and long run co-movements across stock market prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 347-357.
    29. Søren Johansen & Morten Ørregaard Nielsen, 2016. "The cointegrated vector autoregressive model with general deterministic terms," Discussion Papers 16-07, University of Copenhagen. Department of Economics.
    30. Federico Carlini & Paolo Santucci de Magistris, 2013. "On the identification of fractionally cointegrated VAR models with the F(d) condition," CREATES Research Papers 2013-44, Department of Economics and Business Economics, Aarhus University.
    31. Jesús Tomás Monge Moreno & Manuel Monge, 2023. "Coronavirus, Vaccination and the Reaction of Consumer Sentiment in The United States: Time Trends and Persistence Analysis," Mathematics, MDPI, vol. 11(8), pages 1-8, April.
    32. James G. MacKinnon & Morten Ørregaard Nielsen, 2014. "Numerical Distribution Functions Of Fractional Unit Root And Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 161-171, January.
    33. Yaya, OlaOluwa S. & Vo, Xuan Vinh & Olayinka, Hammed A., 2021. "Gold and silver prices, their stocks and market fear gauges: Testing fractional cointegration using a robust approach," Resources Policy, Elsevier, vol. 72(C).
    34. Javier Hualde & Morten Ørregaard Nielsen, 2022. "Truncated sum-of-squares estimation of fractional time series models with generalized power law trend," Working Paper 1458, Economics Department, Queen's University.
    35. Eduardo Rossi & Paolo Santucci de Magistris, 2013. "A No‐Arbitrage Fractional Cointegration Model for Futures and Spot Daily Ranges," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(1), pages 77-102, January.
    36. Torben G. Andersen & Rasmus T. Varneskov, 2018. "Consistent Inference for Predictive Regressions in Persistent VAR Economies," CREATES Research Papers 2018-09, Department of Economics and Business Economics, Aarhus University.
    37. Emmanuel Joel Aikins Abakah & Guglielmo Maria Caporale & Luis A. Gil-Alana, 2020. "Economic Policy Uncertainty: Persistence and Cross-Country Linkages," CESifo Working Paper Series 8289, CESifo.
    38. Salman Huseynov, 2021. "Long and short memory in dynamic term structure models," CREATES Research Papers 2021-15, Department of Economics and Business Economics, Aarhus University.
    39. Guglielmo Maria Caporale & Hector Carcel & Luis A. Gil-Alana, 2018. "Prospects for a Monetary Union in the East Africa Community: Some Empirical Evidence," CESifo Working Paper Series 7073, CESifo.
    40. Duan, Kun & Li, Zeming & Urquhart, Andrew & Ye, Jinqiang, 2021. "Dynamic efficiency and arbitrage potential in Bitcoin: A long-memory approach," International Review of Financial Analysis, Elsevier, vol. 75(C).
    41. Stoupos, Nikolaos & Kiohos, Apostolos, 2022. "Bond markets integration in the EU: New empirical evidence from the Eastern non-euro member-states," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    42. Monge, Manuel & Cristóbal, Enrique, 2021. "Terrorism and the behavior of oil production and prices in OPEC," Resources Policy, Elsevier, vol. 74(C).
    43. Monge, Manuel & Gil-Alana, Luis A., 2021. "Lithium industry and the U.S. crude oil prices. A fractional cointegration VAR and a Continuous Wavelet Transform analysis," Resources Policy, Elsevier, vol. 72(C).
    44. Gil-Alana, Luis A. & Yaya, OlaOluwa S. & Awe, Olushina O., 2017. "Time series analysis of co-movements in the prices of gold and oil: Fractional cointegration approach," Resources Policy, Elsevier, vol. 53(C), pages 117-124.
    45. Cavaliere, Giuseppe & Nielsen, Morten Ørregaard & Taylor, A.M. Robert, 2015. "Bootstrap score tests for fractional integration in heteroskedastic ARFIMA models, with an application to price dynamics in commodity spot and futures markets," Journal of Econometrics, Elsevier, vol. 187(2), pages 557-579.
    46. Stefanos Kechagias & Vladas Pipiras, 2020. "Modeling bivariate long‐range dependence with general phase," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(2), pages 268-292, March.
    47. José Carlos Vides & Antonio A. Golpe & Jesús Iglesias, 2018. "How did the Sovereign debt crisis affect the Euro financial integration? A fractional cointegration approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(4), pages 685-706, November.
    48. Morten Ørregaard Nielsen, 2014. "Asymptotics for the conditional-sum-of-squares estimator in multivariate fractional time series models," CREATES Research Papers 2014-34, Department of Economics and Business Economics, Aarhus University.
    49. Poza, Carlos & Monge, Manuel, 2020. "A real time leading economic indicator based on text mining for the Spanish economy. Fractional cointegration VAR and Continuous Wavelet Transform analysis," International Economics, Elsevier, vol. 163(C), pages 163-175.
    50. Massimiliano Caporin & Fulvio Fontini & Paolo Santucci De Magistris, 2017. "Price convergence within and between the Italian electricity day-ahead and dispatching services markets," "Marco Fanno" Working Papers 0215, Dipartimento di Scienze Economiche "Marco Fanno".
    51. Yudong Wang & Chongfeng Wu & Li Yang, 2015. "Hedging with Futures: Does Anything Beat the Naïve Hedging Strategy?," Management Science, INFORMS, vol. 61(12), pages 2870-2889, December.
    52. Tobias Hartl & Roland Weigand, 2018. "Multivariate Fractional Components Analysis," Papers 1812.09149, arXiv.org, revised Jan 2019.
    53. Senra Hodelin, Reynaldo, 2022. "Public banking and economic growth: The experiences of 10 countries since the 1950s until 2017," Economic Systems, Elsevier, vol. 46(1).
    54. Leandro Maciel, 2020. "Technical analysis based on high and low stock prices forecasts: evidence for Brazil using a fractionally cointegrated VAR model," Empirical Economics, Springer, vol. 58(4), pages 1513-1540, April.
    55. Pérez-Rodríguez, Jorge V. & Andrada-Félix, Julián & Rachinger, Heiko, 2021. "Testing the forward volatility unbiasedness hypothesis in exchange rates under long-range dependence," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    56. Hongchang Hu & Weifu Hu & Xinxin Yu, 2021. "Pseudo-maximum likelihood estimators in linear regression models with fractional time series," Statistical Papers, Springer, vol. 62(2), pages 639-659, April.
    57. Christensen, Bent Jesper & Varneskov, Rasmus Tangsgaard, 2017. "Medium band least squares estimation of fractional cointegration in the presence of low-frequency contamination," Journal of Econometrics, Elsevier, vol. 197(2), pages 218-244.
    58. Al-Sadoon, Majid M., 2017. "A unifying theory of tests of rank," Journal of Econometrics, Elsevier, vol. 199(1), pages 49-62.
    59. Gil-Alana, Luis A. & Yaya, OlaOluwa S. & Akinsomi, Omokolade & Coskun, Yener, 2020. "How do stocks in BRICS co-move with real estate stocks?," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 93-101.
    60. Sepideh Dolatabadi & Morten Ørregaard Nielsen & Ke Xu, 2015. "A Fractionally Cointegrated VAR Analysis of Price Discovery in Commodity Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 339-356, April.
    61. Berta Marcos Ceron & Manuel Monge, 2023. "Consumer Sentiment and Luxury Behavior in the United States before and after COVID-19: Time Trends and Persistence Analysis," Mathematics, MDPI, vol. 11(16), pages 1-14, August.
    62. Andreas Noack Jensen & Morten Ørregaard Nielsen, 2014. "A Fast Fractional Difference Algorithm," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(5), pages 428-436, August.
    63. Katarzyna Łasak & Johannes Lont, 2020. "Observation Driven Long Run Equilibria," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 551-575, February.
    64. Chen, Cathy Yi-Hsuan & Chiang, Thomas C. & Härdle, Wolfgang Karl, 2018. "Downside risk and stock returns in the G7 countries: An empirical analysis of their long-run and short-run dynamics," Journal of Banking & Finance, Elsevier, vol. 93(C), pages 21-32.
    65. Baruník, Jozef & Dvořáková, Sylvie, 2015. "An empirical model of fractionally cointegrated daily high and low stock market prices," Economic Modelling, Elsevier, vol. 45(C), pages 193-206.
    66. Yaya, OlaOluwa S & Ogbonna, Ephraim A & Olubusoye, Olusanya E, 2018. "How Persistent and Dependent are Pricing of Bitcoin to other Cryptocurrencies Before and After 2017/18 Crash?," MPRA Paper 91253, University Library of Munich, Germany.
    67. Ke Xu & Yu‐Lun Chen & Bo Liu & Jian Chen, 2024. "Price discovery and long‐memory property: Simulation and empirical evidence from the bitcoin market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(4), pages 605-618, April.
    68. Guglielmo Maria Caporale & Juncal Cunado & Luis A. Gil-Alana & Rangan Gupta, 2018. "The relationship between healthcare expenditure and disposable personal income in the US states: a fractional integration and cointegration analysis," Empirical Economics, Springer, vol. 55(3), pages 913-935, November.
    69. Dark, Jonathan, 2015. "Futures hedging with Markov switching vector error correction FIEGARCH and FIAPARCH," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 269-285.
    70. Daniela Osterrieder & Daniel Ventosa-Santaulària & J. Eduardo Vera-Valdés, 2015. "Unbalanced Regressions and the Predictive Equation," CREATES Research Papers 2015-09, Department of Economics and Business Economics, Aarhus University.
    71. Oloko, Tirimisiyu F. & Ogbonna, Ahamuefula E. & Adedeji, Abdulfatai A. & Lakhani, Noman, 2021. "Fractional cointegration between gold price and inflation rate: Implication for inflation rate persistence," Resources Policy, Elsevier, vol. 74(C).
    72. Zhenxiong Li & Marwan Izzeldin & Xingzhi Yao, 2020. "Return predictability of variance differences: A fractionally cointegrated approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(7), pages 1072-1089, July.
    73. Carlini, Federico & Christensen, Bent Jesper & Datta Gupta, Nabanita & Santucci de Magistris, Paolo, 2023. "Climate, wind energy, and CO2 emissions from energy production in Denmark," Energy Economics, Elsevier, vol. 125(C).
    74. Morten Ørregaard Nielsen & Sergei S. Shibaev, 2015. "Forecasting daily political opinion polls using the fractionally cointegrated VAR model," Working Paper 1340, Economics Department, Queen's University.
    75. Abbritti, Mirko & Carcel, Hector & Gil-Alana, Luis & Moreno, Antonio, 2023. "Term premium in a fractionally cointegrated yield curve," Journal of Banking & Finance, Elsevier, vol. 149(C).
    76. Dimitriou, Dimitrios & Kenourgios, Dimitris & Simos, Theodore, 2020. "Are there any other safe haven assets? Evidence for “exotic” and alternative assets," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 614-628.
    77. Carlos D. Ramirez, 2024. "The effect of economic policy uncertainty under fractional integration," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 23(1), pages 89-110, January.
    78. de Truchis, Gilles & Keddad, Benjamin, 2013. "Southeast Asian monetary integration: New evidences from fractional cointegration of real exchange rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 394-412.
    79. Lena Dräger & Theoplasti Kolaiti & Philipp Sibbertsen, 2023. "Measuring macroeconomic convergence and divergence within EMU using long memory," Empirical Economics, Springer, vol. 65(5), pages 2333-2356, November.
    80. Afsin Sahin, 2019. "Loom of Symmetric Pass-Through," Economies, MDPI, vol. 7(1), pages 1-25, February.
    81. Morten Ø. Nielsen & S Johansen, 2018. "Nonstationary Cointegration In The Fractionally Cointegrated Var Model," Working Paper 1405, Economics Department, Queen's University.
    82. Murat Gündüz, 2020. "Healthcare expenditure and carbon footprint in the USA: evidence from hidden cointegration approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(5), pages 801-811, July.
    83. Vadim Kufenko & Niels Geiger, 2016. "Business cycles in the economy and in economics: an econometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 43-69, April.
    84. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Nicola Rubino & Inmaculada Vilchez, 2024. "Modelling Loans to Non-Financial Corporations in the Eurozone: A Long-Memory Approach," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 30(3), pages 231-254, August.
    85. Niels Haldrup & Robinson Kruse, 2014. "Discriminating between fractional integration and spurious long memory," CREATES Research Papers 2014-19, Department of Economics and Business Economics, Aarhus University.
    86. Soeren Johansen & Morten Oeregaard Nielsen, 2017. "Testing the CVAR in the fractional CVAR model," Discussion Papers 17-23, University of Copenhagen. Department of Economics.
    87. Monge, Manuel & Gil-Alana, Luis Alberiko, 2021. "Spatial crude oil production divergence and crude oil price behaviour in the United States," Energy, Elsevier, vol. 232(C).
    88. Massimiliano Caporin & Angelo Ranaldo & Paolo Santucci de Magistris, 2011. "On the Predictability of Stock Prices: A Case for High and Low Prices," "Marco Fanno" Working Papers 0136, Dipartimento di Scienze Economiche "Marco Fanno".
    89. Cavaliere, Giuseppe & Nielsen, Morten Ørregaard & Taylor, A.M. Robert, 2017. "Quasi-maximum likelihood estimation and bootstrap inference in fractional time series models with heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 198(1), pages 165-188.
    90. Håvard Hungnes, 2016. "Fractionality and co-fractionality between Government Bond yields," Discussion Papers 838, Statistics Norway, Research Department.
    91. Lovcha, Yuliya & Perez-Laborda, Alejandro, 2018. "Monetary policy shocks, inflation persistence, and long memory," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 117-127.
    92. Yaya, OaOluwa S & Vo, Xuan Vinh & Ogbonna, Ahamuefula E & Adewuyi, Adeolu O, 2020. "Modelling Cryptocurrency High-Low Prices using Fractional Cointegrating VAR," MPRA Paper 102190, University Library of Munich, Germany, revised 02 Aug 2020.
    93. Yaya, OlaOluwa S. & Olayinka, Hammed Abiola & Adebiyi, Aliu A & Atoi, Ngozi Victor & Olugu, Mercy U. & Akinkunmi, Wasiu B., 2024. "Rural and Urban price inflation components in Nigeria: Persistence, Connectedness and Spillovers," MPRA Paper 121106, University Library of Munich, Germany.
    94. Mustanen, Dmitri & Maaitah, Ahmad & Mishra, Tapas & Parhi, Mamata, 2022. "The power of investors’ optimism and pessimism in oil market forecasting," Energy Economics, Elsevier, vol. 114(C).
    95. Forte, Santiago & Lovreta, Lidija, 2019. "Volatility discovery: Can the CDS market beat the equity options market?," Finance Research Letters, Elsevier, vol. 28(C), pages 107-111.
    96. Jose Maria Fernandez-Crehuet & Luis Alberiko Gil-Alana & Cristina Martí Barco, 2020. "Unemployment and Fertility: A Long Run Relationship," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(3), pages 1177-1196, December.
    97. Federico Carlini & Katarzyna Lasak, 2014. "On an Estimation Method for an Alternative Fractionally Cointegrated Model," Tinbergen Institute Discussion Papers 14-052/III, Tinbergen Institute.
    98. Morten Ø. Nielsen & S Johansen, 2012. "The Role Of Initial Values In Conditional Sum-of-squares Estimation Of Nonstationary Fractional Time Series Models," Working Paper 1300, Economics Department, Queen's University.
    99. Hautsch, Nikolaus & Huang, Ruihong, 2012. "The market impact of a limit order," Journal of Economic Dynamics and Control, Elsevier, vol. 36(4), pages 501-522.
    100. Nuruddeen Usman & Martins Apinran, 2024. "Policy rates in ECOWAS: are they fractionally cointegrated?," SN Business & Economics, Springer, vol. 4(11), pages 1-15, November.
    101. Stoupos, Nikolaos & Kiohos, Apostolos, 2021. "Energy commodities and advanced stock markets: A post-crisis approach," Resources Policy, Elsevier, vol. 70(C).
    102. Oloko, Tirimisiyu F. & Ogbonna, Ahamuefula E. & Adedeji, Abdulfatai A. & Lakhani, Noman, 2021. "Oil price shocks and inflation rate persistence: A Fractional Cointegration VAR approach," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 259-275.
    103. Tanin, Tauhidul Islam & Sarker, Ashutosh & Brooks, Robert & Do, Hung Xuan, 2022. "Does oil impact gold during COVID-19 and three other recent crises?," Energy Economics, Elsevier, vol. 108(C).
    104. Clements, A.E. & Hurn, A.S. & Volkov, V.V., 2016. "Common trends in global volatility," Journal of International Money and Finance, Elsevier, vol. 67(C), pages 194-214.
    105. Monge, Manuel & Poza, Carlos & Borgia, Sofía, 2022. "A proposal of a suspicion of tax fraud indicator based on Google trends to foresee Spanish tax revenues," International Economics, Elsevier, vol. 169(C), pages 1-12.
    106. Yao, Xingzhi & Izzeldin, Marwan & Li, Zhenxiong, 2019. "Modelling systems with a mixture of I(d) and I(0) variables using the fractionally co-integrated VAR model," Economics Letters, Elsevier, vol. 181(C), pages 160-163.
    107. Nikolaos Stoupos & Apostolos Kiohos, 2022. "Euro Area: Towards a European Common Bond? – Empirical Evidence from the Sovereign Debt Markets," Journal of Common Market Studies, Wiley Blackwell, vol. 60(4), pages 1019-1046, July.
    108. Federico Carlini & Katarzyna (K.A.) Lasak, 2018. "Likelihood based inference for an Identifiable Fractional Vector Error Correction Model," Tinbergen Institute Discussion Papers 18-085/III, Tinbergen Institute.
    109. Alia Afzal & Philipp Sibbertsen, 2021. "Modeling fractional cointegration between high and low stock prices in Asian countries," Empirical Economics, Springer, vol. 60(2), pages 661-682, February.
    110. Cheah, Eng-Tuck & Mishra, Tapas & Parhi, Mamata & Zhang, Zhuang, 2018. "Long Memory Interdependency and Inefficiency in Bitcoin Markets," Economics Letters, Elsevier, vol. 167(C), pages 18-25.
    111. Luis A. Gil-Alana & Emmanuel Joel Aikins Abakah & Nieves Carmona-González & Aviral Kumar Tiwari, 2024. "Consumer sentiments across G7 and BRICS economies: Are they related?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 48(2), pages 323-344, June.
    112. Mircea BAHNA & Cosmin-Octavian CEPOI & Bogdan Andrei DUMITRESCU & Virgil DAMIAN, 2018. "Estimating the Price Impact of Market Orders on the Bucharest Stock Exchange," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 120-133, December.
    113. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Carlos Poza & José L. Ruiz-Alba, 2025. "The COVID-19 Shock and Spanish Hotel Activity," CESifo Working Paper Series 11985, CESifo.
    114. Adebola, Solarin Sakiru & Gil-Alana, Luis A. & Madigu, Godfrey, 2019. "Gold prices and the cryptocurrencies: Evidence of convergence and cointegration," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1227-1236.
    115. Qian, Yao & Ralescu, Dan A. & Zhang, Bo, 2019. "The analysis of factors affecting global gold price," Resources Policy, Elsevier, vol. 64(C).
    116. Dechert, Andreas, 2014. "Fraktionale Kointegrationsbeziehungen zwischen Euribor-Zinssätzen," W.E.P. - Würzburg Economic Papers 93, University of Würzburg, Department of Economics.
    117. Marc Gronwald & Sania Wadud, 2024. "“My Name Is Bond. Green Bond.” Informational Efficiency of Climate Finance Markets," CESifo Working Paper Series 11029, CESifo.
    118. Maria Malmierca-Ordoqui & Luis A. Gil-Alana & Manuel Monge, 2024. "Fractional cointegration between energy imports to the EURO area and exchange rates to the US dollar," Empirical Economics, Springer, vol. 66(2), pages 859-882, February.
    119. C. Flores Komatsu & L. A. Gil-Alana, 2025. "Analyzing Stationarity in World Coffee Prices," Computational Economics, Springer;Society for Computational Economics, vol. 65(4), pages 2115-2131, April.
    120. Morten Ø. Nielsen & Michal Ksawery Popiel, 2018. "A Matlab Program And User's Guide For The Fractionally Cointegrated Var Model," Working Paper 1330, Economics Department, Queen's University.
    121. Stoupos, Nikolaos & Kiohos, Apostolos, 2022. "Euro area stock markets integration: Empirical evidence after the end of 2010 debt crisis," Finance Research Letters, Elsevier, vol. 46(PB).
    122. Gil-Alana, Luis A. & Škare, Marinko & Pržiklas-Družeta, Romina, 2019. "Measuring inequality persistence in OECD 1963–2008 using fractional integration and cointegration," The Quarterly Review of Economics and Finance, Elsevier, vol. 72(C), pages 65-72.
    123. Bent Jesper Christensen & Nabanita Datta Gupta & Paolo Santucci de Magistris, 2021. "Measuring the impact of clean energy production on CO2 abatement in Denmark: Upper bound estimation and forecasting," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 118-149, January.
    124. OlaOluwa S. Yaya & Nurudeen Abu & Tayo P. Ogundunmade, 2021. "Economic policy uncertainty in G7 countries: evidence of long-range dependence and cointegration," Economic Change and Restructuring, Springer, vol. 54(2), pages 541-556, May.
    125. Maria Malmierca-Ordoqui & Luis A. Gil-Alana & Lorenzo Bermejo, 2024. "Private and public debt convergence: a fractional cointegration approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(1), pages 161-183, February.
    126. Marcel Aloy & Gilles de Truchis, 2013. "Optimal Estimation Strategies for Bivariate Fractional Cointegration Systems," AMSE Working Papers 1353, Aix-Marseille School of Economics, France, revised 29 Oct 2013.
    127. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    128. Andersen, Torben G. & Varneskov, Rasmus T., 2021. "Consistent inference for predictive regressions in persistent economic systems," Journal of Econometrics, Elsevier, vol. 224(1), pages 215-244.
    129. Monge, Manuel & Claudio-Quiroga, Gloria & Poza, Carlos, 2024. "Chinese economic behavior in times of covid-19. A new leading economic indicator based on Google trends," International Economics, Elsevier, vol. 177(C).
    130. Bravo Caro, José Manuel & Golpe, Antonio A. & Iglesias, Jesús & Vides, José Carlos, 2020. "A new way of measuring the WTI – Brent spread. Globalization, shock persistence and common trends," Energy Economics, Elsevier, vol. 85(C).
    131. Eduardo Rossi & Paolo Santucci de Magistris, 2009. "A No Arbitrage Fractional Cointegration Analysis Of The Range Based Volatility," CREATES Research Papers 2009-31, Department of Economics and Business Economics, Aarhus University.
    132. Kai Yao & Kun Duan & Rong Huang & Thanaset Chevapatrakul, 2025. "The Memory in Return Volatility: An Analysis of Mutual Fund Returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 2930-2945, July.
    133. Katarzyna Lasak & Carlos Velasco, 2014. "Fractional Cointegration Rank Estimation," Tinbergen Institute Discussion Papers 14-021/III, Tinbergen Institute.
    134. Luis Alberiko Gil-Alaña & Borja Balprad & Guglielmo Maria Caporale & Hector Carcel, 2015. "Exchange Rate Dynamics and Monetary Unions in Africa: A Fractional Integration and Cointegration Analysis," NCID Working Papers 11/2015, Navarra Center for International Development, University of Navarra.
    135. de Truchis, Gilles, 2013. "Approximate Whittle analysis of fractional cointegration and the stock market synchronization issue," Economic Modelling, Elsevier, vol. 34(C), pages 98-105.
    136. Lovcha, Yuliya & Perez-Laborda, Alejandro, 2022. "Long-memory and volatility spillovers across petroleum futures," Energy, Elsevier, vol. 243(C).
    137. Goodness C. Aye & Hector Carcel & Luis A. Gil-Alana & Rangan Gupta, 2017. "Does Gold Act as a Hedge against Inflation in the UK? Evidence from a Fractional Cointegration Approach Over 1257 to 2016," Working Papers 201753, University of Pretoria, Department of Economics.
    138. Mishra, Tapas & Park, Donghyun & Parhi, Mamata & Uddin, Gazi Salah & Tian, Shu, 2023. "A memory in the bond: Green bond and sectoral investment interdependence in a fractionally cointegrated VAR framework," Energy Economics, Elsevier, vol. 121(C).
    139. Lo, Danny K. & Hall, Anthony D., 2015. "Resiliency of the limit order book," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 222-244.
    140. Guglielmo Maria Caporale & Miguel A. Martin-Valmayor & Luis A. Gil-Alana & Nieves Carmona-González, 2024. "Persistence of the Sovereign Debt Components and Debt Sustainability: Some Evidence for the US and Europe," CESifo Working Paper Series 11409, CESifo.
    141. Lovcha, Yuliya & Pérez Laborda, Àlex, 2016. "Structural shocks and dinamic elasticities in a long memory model of the US gasoline retail market," Working Papers 2072/261538, Universitat Rovira i Virgili, Department of Economics.
    142. Caporale, Guglielmo Maria & Gil-Alana, Luis A. & Poza, Carlos, 2020. "High and low prices and the range in the European stock markets: A long-memory approach," Research in International Business and Finance, Elsevier, vol. 52(C).
    143. Massimo Franchi & Paolo Paruolo, 2017. "A general inversion theorem for cointegration," DSS Empirical Economics and Econometrics Working Papers Series 2017/3, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
    144. Godday Uwawunkonye Ebuh & Afees Salisu & Victor Oboh & Nuruddeen Usman, 2023. "A test for the contributions of urban and rural inflation to inflation persistence in Nigeria," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 16(2), pages 222-246, May.
    145. Monge, Manuel & Lazcano, Ana & Infante, Juan, 2024. "Monetary policy and inflation rate in the behavior of consumer sentiment in the us. A fractional integration and cointegration analysis," Research in Economics, Elsevier, vol. 78(3).
    146. Guglielmo Maria Caporale & José Javier de Dios Mazariegos & Luis A. Gil-Alana, 2022. "Long-Run Linkages between US Stock Prices and Cryptocurrencies: A Fractional Cointegration Analysis," CESifo Working Paper Series 9950, CESifo.
    147. Marc Gronwald & Sania Wadud & Kingsley Dogah, 2024. "Informational Efficiency of World Oil Markets: One Great Pool, but with Varying Depth," CESifo Working Paper Series 11017, CESifo.
    148. Yunus Emre Ergemen & Niels Haldrup & Carlos Vladimir Rodríguez-Caballero, 2015. "Common long-range dependence in a panel of hourly Nord Pool electricity prices and loads," CREATES Research Papers 2015-58, Department of Economics and Business Economics, Aarhus University.
    149. Demetrescu, Matei & Kusin, Vladimir & Salish, Nazarii, 2022. "Testing for no cointegration in vector autoregressions with estimated degree of fractional integration," Economic Modelling, Elsevier, vol. 108(C).
    150. Salisu, Afees A. & Ndako, Umar B. & Adediran, Idris A. & Swaray, Raymond, 2020. "A fractional cointegration VAR analysis of Islamic stocks: A global perspective," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    151. Chen, Yu-Lun & Xu, Ke, 2021. "The impact of RMB’s SDR inclusion on price discovery in onshore-offshore markets," Journal of Banking & Finance, Elsevier, vol. 127(C).
    152. Nikolaos A. Kyriazis, 2019. "A Survey on Efficiency and Profitable Trading Opportunities in Cryptocurrency Markets," JRFM, MDPI, vol. 12(2), pages 1-17, April.
    153. Josh Stillwagon, 2014. "Testing the Expectations Hypothesis with Survey Forecasts: The Impacts of Consumer Sentiment and the Zero Lower Bound in an I(2) CVAR," Working Papers 1401, Trinity College, Department of Economics.
    154. Vides, José Carlos & Golpe, Antonio A. & Iglesias, Jesús, 2021. "The impact of the term spread in US monetary policy from 1870 to 2013," Journal of Policy Modeling, Elsevier, vol. 43(1), pages 230-251.
    155. Yaya, OlaOluwa S & Gil-Alana, Luis A., 2018. "High and Low Intraday Commodity Prices: A Fractional Integration and Cointegration Approach," MPRA Paper 90518, University Library of Munich, Germany.
    156. Federico Carlini & Paolo Santucci de Magistris, 2019. "Resuscitating the co-fractional model of Granger (1986)," Discussion Papers 19/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    157. David Gabauer & Rangan Gupta & Jacobus Nel & Woraphon Yamaka, 2021. "Time-Varying Predictability of Labor Productivity on Inequality in United Kingdom," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(3), pages 771-788, June.
    158. Javier Hualde & Morten Ørregaard Nielsen, 2020. "Truncated sum of squares estimation of fractional time series models with deterministic trends," CREATES Research Papers 2020-07, Department of Economics and Business Economics, Aarhus University.
    159. Guglielmo Maria Caporale & Gloria Claudio-Quiroga & Luis A. Gil-Alana, 2021. "Analysing the relationship between CO2 emissions and GDP in China: a fractional integration and cointegration approach," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-16, December.
    160. Apergis, Nicholas & Carmona-González, Nieves & Gil-Alana, Luis Alberiko, 2020. "Persistence in silver prices and the influence of solar energy," Resources Policy, Elsevier, vol. 69(C).
    161. Juan Infante & Marta del Rio & Luis Alberiko Gil-Alana, 2024. "Persistent and Long-Term Co-Movements between Gender Equality and Global Prices," Economies, MDPI, vol. 12(7), pages 1-15, July.
    162. Gilles de Truchis & Florent Dubois & Elena Ivona Dumitrescu, 2019. "Local Whittle Analysis of Stationary Unbalanced Fractional Cointegration Systems," Working Papers hal-04141882, HAL.
    163. Chen, Cathy Yi-Hsuan & Chiang, Thomas C. & Härdle, Wolfgang Karl, 2016. "Downside risk and stock returns: An empirical analysis of the long-run and short-run dynamics from the G-7 Countries," SFB 649 Discussion Papers 2016-001, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    164. Filippo Beltrami & Fulvio Fontini & Monica Giulietti & Luigi Grossi, 2021. "The zonal and seasonal CO2 marginal emissions factors for the Italian power market," Working Papers 01/2021, University of Verona, Department of Economics.
    165. Xu, Ke & Chen, Yu-Lun & Yang, J. Jimmy, 2023. "Market uncertainty, persistent arbitrage-free violation, and price discovery in RMB market," International Review of Financial Analysis, Elsevier, vol. 90(C).
    166. Sakiru Adebola Solarin & Carmen Lafuente & Luis A. Gil-Alana & Maria Jesus Gonzalez Blanch, 2022. "Inequality Persistence of 21 OECD Countries from 1870 to 2020: Linear and Non-Linear Fractional Integration Approaches," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(2), pages 711-725, November.
    167. Jinghong Wu & Ke Xu & Xinwei Zheng & Jian Chen, 2021. "Fractional cointegration in bitcoin spot and futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(9), pages 1478-1494, September.
    168. Gil-Alana, Luis A. & Mudida, Robert & Carcel, Hector, 2017. "Shocks affecting electricity prices in Kenya, a fractional integration study," Energy, Elsevier, vol. 124(C), pages 521-530.
    169. Guglielmo Maria Caporale & Alfonso Dominguez & Luis Alberiko Gil-Alana, 2025. "Testing for Persistence in Real House Prices in 47 Countries from the OECD Database," CESifo Working Paper Series 11662, CESifo.
    170. Tan, Zhengxun & Xiao, Binuo & Huang, Yilong & Zhou, Li, 2021. "Value at risk and return in Chinese and the US stock markets: Double long memory and fractional cointegration," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    171. Tule, Moses K. & Salisu, Afees A. & Ebuh, Godday U., 2020. "A test for inflation persistence in Nigeria using fractional integration & fractional cointegration techniques," Economic Modelling, Elsevier, vol. 87(C), pages 225-237.
    172. Monge, Manuel & Romero Rojo, María Fátima & Gil-Alana, Luis Alberiko, 2023. "The impact of geopolitical risk on the behavior of oil prices and freight rates," Energy, Elsevier, vol. 269(C).
    173. Guglielmo Maria Caporale & Gloria Claudio-Quiroga & Luis A. Gil-Alana, 2019. "CO2 Emissions and GDP: Evidence from China," CESifo Working Paper Series 7881, CESifo.
    174. Ranaldo, Angelo & de Magistris, Paolo Santucci, 2022. "Liquidity in the global currency market," Journal of Financial Economics, Elsevier, vol. 146(3), pages 859-883.
    175. Ataei, Masoud & Chen, Shengyuan & Yang, Zijiang & Peyghami, M. Reza, 2021. "Theory and applications of financial chaos index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    176. Emawtee Bissoondoyal-Bheenick & Robert Brooks & Wei Chi & Hung Xuan Do, 2018. "Volatility spillover between the US, Chinese and Australian stock markets," Australian Journal of Management, Australian School of Business, vol. 43(2), pages 263-285, May.
    177. Monge, Manuel & Lazcano, Ana & Parada, José Luis, 2023. "Growth vs value investing: Persistence and time trend before and after COVID-19," Research in International Business and Finance, Elsevier, vol. 65(C).
    178. Danny Lo, 2015. "Essays in Market Microstructure and Investor Trading," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2015, January-A.
    179. Marc Gronwald & Sania Wadud & Kingsley Dogah, 2024. "Oil Market Efficiency, Quantity of Information, and Oil Market Turbulence," CESifo Working Paper Series 10995, CESifo.
    180. Jesús Tomás Monge Moreno & Manuel Monge, 2023. "Consumer Sentiment in the United States and the Impact of Mental Disorders on Consumer Behavior—Time Trends and Persistence Analysis," Mathematics, MDPI, vol. 11(13), pages 1-10, July.
    181. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2020. "Modelling Loans to Non-Financial Corporations within the Eurozone: A Long-Memory Approach," CESifo Working Paper Series 8674, CESifo.
    182. Luis A. Gil-Alana & Marinko Skare, 2018. "Testing the great decoupling: a long memory approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(4), pages 801-820, November.
    183. Dechert, Andreas, 2012. "Variance Ratio Testing for Fractional Cointegration in Presence of Trends and Trend Breaks," MPRA Paper 41044, University Library of Munich, Germany.
    184. Gil-Alana, Luis A. & Carcel, Hector, 2020. "A fractional cointegration var analysis of exchange rate dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    185. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Carlos Poza, 2022. "Inflation in the G7 countries: persistence and structural breaks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(3), pages 493-506, July.
    186. Rocco Mosconi & Paolo Paruolo, 2022. "A Conversation with Søren Johansen," Econometrics, MDPI, vol. 10(2), pages 1-16, April.
    187. Andrea Flori, 2019. "Cryptocurrencies In Finance: Review And Applications," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(05), pages 1-22, August.
    188. Lovcha, Yuliya & Pérez Laborda, Àlex, 2018. "Volatility Spillovers in a Long-Memory VAR: an Application to Energy Futures Returns," Working Papers 2072/307362, Universitat Rovira i Virgili, Department of Economics.
    189. Vides, José Carlos & Golpe, Antonio A. & Iglesias, Jesús, 2020. "The EHTS and the persistence in the spread reconsidered. A fractional cointegration approach," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 124-137.
    190. Ebuh U. Godday & Nuruddeen Usman & Afees A. Salisu, 2022. "Testing for unemployment persistence in Nigeria," Economic Change and Restructuring, Springer, vol. 55(4), pages 2605-2630, November.
    191. Jayawardena, Nirodha I. & Todorova, Neda & Li, Bin & Su, Jen-Je & Gau, Yin-Feng, 2022. "Risk-return trade-off in the Australian Securities Exchange: Accounting for overnight effects, realized higher moments, long-run relations, and fractional cointegration," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 384-401.

  39. James G. MacKinnon & Morten Ørregaard Nielsen, 2010. "Numerical distribution functions of fractional unit root and cointegration tests," CREATES Research Papers 2010-59, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Yan, Meng & Chen, Jian & Song, Victor & Xu, Ke, 2022. "Trade friction and price discovery in the USD–CAD spot and forward markets," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    2. Quineche Ricardo, 2021. "Consumption, Aggregate Wealth and Expected Stock Returns: An FCVAR Approach," Journal of Time Series Econometrics, De Gruyter, vol. 13(1), pages 21-42, January.
    3. Daniela Osterrieder, 2013. "Interest Rates with Long Memory: A Generalized Affine Term-Structure Model," CREATES Research Papers 2013-17, Department of Economics and Business Economics, Aarhus University.
    4. Gagnon, Marie-Hélène & Power, Gabriel J. & Toupin, Dominique, 2016. "International stock market cointegration under the risk-neutral measure," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 243-255.
    5. Dolatabadi, Sepideh & Nielsen, Morten Ørregaard & Xu, Ke, 2016. "A fractionally cointegrated VAR model with deterministic trends and application to commodity futures markets," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 623-639.
    6. Alexander Boca Saravia & Gabriel Rodríguez, 2022. "Presidential approval in Peru: an empirical analysis using a fractionally cointegrated VAR," Economic Change and Restructuring, Springer, vol. 55(3), pages 1973-2010, August.
    7. Li, Shi & Chen, Lei & Jiang, Tao & Wang, YingJie & Shen, Congcong, 2024. "Multidimensional financial development and natural resources: A path for sustainable development via natural resources and digitalization," Resources Policy, Elsevier, vol. 88(C).
    8. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    9. Maggie E. C. Jones & Morten Ørregaard Nielsen & Michał Ksawery Popiel, 2014. "A fractionally cointegrated VAR analysis of economic voting and political support," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 47(4), pages 1078-1130, November.
    10. José Carlos Vides & Antonio A. Golpe & Jesús Iglesias, 2018. "How did the Sovereign debt crisis affect the Euro financial integration? A fractional cointegration approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(4), pages 685-706, November.
    11. Poza, Carlos & Monge, Manuel, 2020. "A real time leading economic indicator based on text mining for the Spanish economy. Fractional cointegration VAR and Continuous Wavelet Transform analysis," International Economics, Elsevier, vol. 163(C), pages 163-175.
    12. Leandro Maciel, 2020. "Technical analysis based on high and low stock prices forecasts: evidence for Brazil using a fractionally cointegrated VAR model," Empirical Economics, Springer, vol. 58(4), pages 1513-1540, April.
    13. Pérez-Rodríguez, Jorge V. & Andrada-Félix, Julián & Rachinger, Heiko, 2021. "Testing the forward volatility unbiasedness hypothesis in exchange rates under long-range dependence," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    14. Sepideh Dolatabadi & Morten Ørregaard Nielsen & Ke Xu, 2015. "A Fractionally Cointegrated VAR Analysis of Price Discovery in Commodity Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 339-356, April.
    15. Baruník, Jozef & Dvořáková, Sylvie, 2015. "An empirical model of fractionally cointegrated daily high and low stock market prices," Economic Modelling, Elsevier, vol. 45(C), pages 193-206.
    16. Morten Ørregaard Nielsen & Sergei S. Shibaev, 2015. "Forecasting daily political opinion polls using the fractionally cointegrated VAR model," Working Paper 1340, Economics Department, Queen's University.
    17. Vadim Kufenko & Niels Geiger, 2016. "Business cycles in the economy and in economics: an econometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 43-69, April.
    18. Forte, Santiago & Lovreta, Lidija, 2019. "Volatility discovery: Can the CDS market beat the equity options market?," Finance Research Letters, Elsevier, vol. 28(C), pages 107-111.
    19. Peter Sephton, 2017. "Finite Sample Critical Values of the Generalized KPSS Stationarity Test," Computational Economics, Springer;Society for Computational Economics, vol. 50(1), pages 161-172, June.
    20. Clements, A.E. & Hurn, A.S. & Volkov, V.V., 2016. "Common trends in global volatility," Journal of International Money and Finance, Elsevier, vol. 67(C), pages 194-214.
    21. Alia Afzal & Philipp Sibbertsen, 2021. "Modeling fractional cointegration between high and low stock prices in Asian countries," Empirical Economics, Springer, vol. 60(2), pages 661-682, February.
    22. Bravo Caro, José Manuel & Golpe, Antonio A. & Iglesias, Jesús & Vides, José Carlos, 2020. "A new way of measuring the WTI – Brent spread. Globalization, shock persistence and common trends," Energy Economics, Elsevier, vol. 85(C).
    23. Katarzyna Lasak & Carlos Velasco, 2014. "Fractional Cointegration Rank Estimation," Tinbergen Institute Discussion Papers 14-021/III, Tinbergen Institute.
    24. Vides, José Carlos & Golpe, Antonio A. & Iglesias, Jesús, 2021. "The impact of the term spread in US monetary policy from 1870 to 2013," Journal of Policy Modeling, Elsevier, vol. 43(1), pages 230-251.
    25. Yaya, OlaOluwa S & Gil-Alana, Luis A., 2018. "High and Low Intraday Commodity Prices: A Fractional Integration and Cointegration Approach," MPRA Paper 90518, University Library of Munich, Germany.
    26. Federico Carlini & Paolo Santucci de Magistris, 2019. "Resuscitating the co-fractional model of Granger (1986)," Discussion Papers 19/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    27. Filippo Beltrami & Fulvio Fontini & Monica Giulietti & Luigi Grossi, 2021. "The zonal and seasonal CO2 marginal emissions factors for the Italian power market," Working Papers 01/2021, University of Verona, Department of Economics.
    28. Xu, Ke & Chen, Yu-Lun & Yang, J. Jimmy, 2023. "Market uncertainty, persistent arbitrage-free violation, and price discovery in RMB market," International Review of Financial Analysis, Elsevier, vol. 90(C).
    29. Vides, José Carlos & Golpe, Antonio A. & Iglesias, Jesús, 2020. "The EHTS and the persistence in the spread reconsidered. A fractional cointegration approach," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 124-137.

  40. Michael Jansson & Morten Ørregaard Nielsen, 2009. "Nearly Efficient Likelihood Ratio Tests of the Unit Root Hypothesis," CREATES Research Papers 2009-37, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Maggie E. C. Jones & Morten Ørregaard Nielsen & Michael Ksawery Popiel, 2014. "A fractionally cointegrated VAR analysis of economic voting and political support," CREATES Research Papers 2014-23, Department of Economics and Business Economics, Aarhus University.
    2. Jansson Michael & Nielsen Morten Ørregaard, 2011. "Nearly Efficient Likelihood Ratio Tests for Seasonal Unit Roots," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-21, February.
    3. Bo Zhou, 2023. "Semiparametrically Optimal Cointegration Test," Papers 2305.08880, arXiv.org.
    4. Skrobotov Anton, 2018. "On Bootstrap Implementation of Likelihood Ratio Test for a Unit Root," Working Papers wpaper-2018-302, Gaidar Institute for Economic Policy, revised 2018.
    5. Gaowen Wang, 2017. "Modified Unit Root Tests with Nuisance Parameter Free Asymptotic Distributions," Methodology and Computing in Applied Probability, Springer, vol. 19(2), pages 519-538, June.
    6. Boswijk, H. Peter & Jansson, Michael & Nielsen, Morten Ørregaard, 2015. "Improved likelihood ratio tests for cointegration rank in the VAR model," Journal of Econometrics, Elsevier, vol. 184(1), pages 97-110.
    7. Samuel Brien & Michael Jansson & Morten Ørregaard Nielsen, 2022. "Nearly Efficient Likelihood Ratio Tests of a Unit Root in an Autoregressive Model of Arbitrary Order," Working Paper 1429, Economics Department, Queen's University.
    8. Petrenko, Victoria (Петренко, ВИктория) & Skrobotov, Anton (Скроботов, Антон) & Turuntseva, Maria (Турунцева, Мария), 2016. "Testing of Changes in Persistence and Their Effect on the Forecasting Quality [Тестирование Изменения Инерционности И Влияние На Качество Прогнозов]," Working Papers 542, Russian Presidential Academy of National Economy and Public Administration.
    9. Christensen, Bent Jesper & Kruse, Robinson & Sibbertsen, Philipp, 2013. "A unified framework for testing in the linear regression model under unknown order of fractional integration," Hannover Economic Papers (HEP) dp-519, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    10. Popiel Michal Ksawery, 2017. "Interest rate pass-through: a nonlinear vector error-correction approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(5), pages 1-20, December.
    11. Walter Distaso & Rustam Ibragimov & Alexander Semenov & Anton Skrobotov, 2020. "COVID-19: Tail Risk and Predictive Regressions," Papers 2009.02486, arXiv.org, revised Oct 2021.
    12. Zhou, Bo, 2024. "Semiparametrically optimal cointegration test," Journal of Econometrics, Elsevier, vol. 242(2).
    13. Hernández Juan R., 2016. "Unit Root Testing in ARMA Models: A Likelihood Ratio Approach," Working Papers 2016-03, Banco de México.
    14. Hernández, Juan R., 2016. "Unit Root Testing in ARMA Models: A Likelihood Ratio Approach," MPRA Paper 100857, University Library of Munich, Germany.
    15. Mehdi Hosseinkouchack & Uwe Hassler, 2016. "Powerful Unit Root Tests Free of Nuisance Parameters," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(4), pages 533-554, July.
    16. James Morley & Irina B. Panovska & Tara M. Sinclair, 2014. "Testing Stationarity for Unobserved Components Models," Discussion Papers 2012-41B, School of Economics, The University of New South Wales.

  41. Morten Ørregaard Nielsen, 2009. "Nonparametric Cointegration Analysis of Fractional Systems With Unknown Integration Orders," CREATES Research Papers 2009-02, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Burak Alparslan Eroğlu & Barış Soybilgen, 2018. "On the Performance of Wavelet Based Unit Root Tests," JRFM, MDPI, vol. 11(3), pages 1-22, August.
    2. Eroğlu, Burak Alparslan & Göğebakan, Kemal Çağlar & Trokić, Mirza, 2018. "Powerful nonparametric seasonal unit root tests," Economics Letters, Elsevier, vol. 167(C), pages 75-80.
    3. Daniela Osterrieder, 2013. "Interest Rates with Long Memory: A Generalized Affine Term-Structure Model," CREATES Research Papers 2013-17, Department of Economics and Business Economics, Aarhus University.
    4. Leschinski, Christian & Voges, Michelle & Sibbertsen, Philipp, 2019. "A Comparison of Semiparametric Tests for Fractional Cointegration," Hannover Economic Papers (HEP) dp-651, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    5. Christian Leschinski & Michelle Voges & Philipp Sibbertsen, 2021. "Integration and Disintegration of EMU Government Bond Markets," Econometrics, MDPI, vol. 9(1), pages 1-17, March.
    6. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    7. Tobias Hartl & Roland Weigand, 2018. "Approximate State Space Modelling of Unobserved Fractional Components," Papers 1812.09142, arXiv.org, revised May 2020.
    8. Al-Sadoon, Majid M., 2017. "A unifying theory of tests of rank," Journal of Econometrics, Elsevier, vol. 199(1), pages 49-62.
    9. Rodrigues, Paulo M.M. & Sibbertsen, Philipp & Voges, Michelle, 2019. "Testing for breaks in the cointegrating relationship: On the stability of government bond markets' equilibrium," Hannover Economic Papers (HEP) dp-656, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    10. Eroğlu, Burak Alparslan, 2019. "Wavelet variance ratio cointegration test and wavestrapping," Journal of Multivariate Analysis, Elsevier, vol. 171(C), pages 298-319.
    11. Daniela Osterrieder & Peter C. Schotman, 2012. "The Volatility of Long-term Bond Returns: Persistent Interest Shocks and Time-varying Risk Premiums," CREATES Research Papers 2012-35, Department of Economics and Business Economics, Aarhus University.
    12. Guglielmo Caporale & Luis Gil-Alana, 2014. "Fractional integration and cointegration in US financial time series data," Empirical Economics, Springer, vol. 47(4), pages 1389-1410, December.
    13. Javier García-Enríquez & Josu Arteche & Arantza Murillas-Maza, 2017. "Testing for substitutability in the mackerel market: a new method using fractional cointegration," Applied Economics, Taylor & Francis Journals, vol. 49(39), pages 3912-3926, August.
    14. Saidat Fehintola Olaniran & Oyebayo Ridwan Olaniran & Jeza Allohibi & Abdulmajeed Atiah Alharbi & Mohd Tahir Ismail, 2024. "A Generalized Residual-Based Test for Fractional Cointegration in Panel Data with Fixed Effects," Mathematics, MDPI, vol. 12(8), pages 1-11, April.
    15. Dechert, Andreas, 2014. "Fraktionale Kointegrationsbeziehungen zwischen Euribor-Zinssätzen," W.E.P. - Würzburg Economic Papers 93, University of Würzburg, Department of Economics.
    16. Morten Ørregaard Nielsen & Won-Ki Seo & Dakyung Seong, 2020. "Inference on the dimension of the nonstationary subspace in functional time series," Working Paper 1420, Economics Department, Queen's University.
    17. Katarzyna Lasak & Carlos Velasco, 2014. "Fractional Cointegration Rank Estimation," Tinbergen Institute Discussion Papers 14-021/III, Tinbergen Institute.
    18. Goliński, Adam & Madeira, João & Rambaccussing, Dooruj, 2025. "Return predictability, dividend growth, and the persistence of the price–dividend ratio," International Journal of Forecasting, Elsevier, vol. 41(1), pages 92-110.
    19. Stoyan V. Stoyanov & Yong Shin Kim & Svetlozar T. Rachev & Frank J. Fabozzi, 2017. "Option pricing for Informed Traders," Papers 1711.09445, arXiv.org.
    20. Kemal Çag̃lar Gög̃ebakan & Burak Alparslan Eroglu, 2022. "Non-parametric seasonal unit root tests under periodic non-stationary volatility," Computational Statistics, Springer, vol. 37(5), pages 2581-2636, November.
    21. Esben Hoeg & Per Frederiksen, 2006. "The Fractional OU Process: Term Structure Theory and Application," Computing in Economics and Finance 2006 194, Society for Computational Economics.
    22. Paulo M. M. Rodrigues & Philipp Sibbertsen & Michelle Voges, 2024. "The stability of government bond markets’ equilibrium and the interdependence of lending rates," Empirical Economics, Springer, vol. 67(6), pages 2503-2538, December.
    23. Burak Eroglu, 2017. "Wavelet Variance Ratio Test And Wavestrapping For The Determination Of The Cointegration Rank," Working Papers 1706, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.
    24. Mehdi Hosseinkouchack & Uwe Hassler, 2016. "Powerful Unit Root Tests Free of Nuisance Parameters," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(4), pages 533-554, July.
    25. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Robert Mudida, 2015. "Testing the Marshall–Lerner Condition in Kenya," South African Journal of Economics, Economic Society of South Africa, vol. 83(2), pages 253-268, June.
    26. Burak Eroglu & Kemal Caglar Gogebakan & Mirza Trokic, 2017. "Fractional Seasonal Variance Ratio Unit Root Tests," Working Papers 1707, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.
    27. Dechert, Andreas, 2012. "Variance Ratio Testing for Fractional Cointegration in Presence of Trends and Trend Breaks," MPRA Paper 41044, University Library of Munich, Germany.

  42. Michael Jansson & Morten Ørregaard Nielsen, 2009. "Nearly Efficient Likelihood Ratio Tests for Seasonal Unit Roots," CREATES Research Papers 2009-55, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Jansson Michael & Nielsen Morten Ørregaard, 2011. "Nearly Efficient Likelihood Ratio Tests for Seasonal Unit Roots," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-21, February.
    2. Eroğlu, Burak Alparslan & Göğebakan, Kemal Çağlar & Trokić, Mirza, 2018. "Powerful nonparametric seasonal unit root tests," Economics Letters, Elsevier, vol. 167(C), pages 75-80.
    3. Skrobotov Anton, 2018. "On Bootstrap Implementation of Likelihood Ratio Test for a Unit Root," Working Papers wpaper-2018-302, Gaidar Institute for Economic Policy, revised 2018.
    4. Samuel Brien & Michael Jansson & Morten Ørregaard Nielsen, 2022. "Nearly Efficient Likelihood Ratio Tests of a Unit Root in an Autoregressive Model of Arbitrary Order," Working Paper 1429, Economics Department, Queen's University.

  43. Per Frederiksen & Frank S. Nielsen & Morten Ørregaard Nielsen, 2008. "Local polynomial Whittle estimation of perturbed fractional processes," CREATES Research Papers 2008-29, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Marcel Aloy & Gilles Truchis, 2016. "Optimal Estimation Strategies for Bivariate Fractional Cointegration Systems and the Co-persistence Analysis of Stock Market Realized Volatilities," Computational Economics, Springer;Society for Computational Economics, vol. 48(1), pages 83-104, June.
    2. Gilles de Truchis & Elena Ivona Dumitrescu, 2019. "Narrow-band Weighted Nonlinear Least Squares Estimation of Unbalanced Cointegration Systems," EconomiX Working Papers 2019-14, University of Paris Nanterre, EconomiX.
    3. Andersen, Torben G. & Varneskov, Rasmus T., 2022. "Testing for parameter instability and structural change in persistent predictive regressions," Journal of Econometrics, Elsevier, vol. 231(2), pages 361-386.
    4. Ata Assaf & Luis Alberiko Gil-Alana & Khaled Mokni, 2022. "True or spurious long memory in the cryptocurrency markets: evidence from a multivariate test and other Whittle estimation methods," Empirical Economics, Springer, vol. 63(3), pages 1543-1570, September.
    5. Robinson Kruse & Christian Leschinski & Michael Will, 2016. "Comparing Predictive Accuracy under Long Memory - With an Application to Volatility Forecasting," CREATES Research Papers 2016-17, Department of Economics and Business Economics, Aarhus University.
    6. Hou, Jie & Perron, Pierre, 2014. "Modified local Whittle estimator for long memory processes in the presence of low frequency (and other) contaminations," Journal of Econometrics, Elsevier, vol. 182(2), pages 309-328.
    7. Torben G. Andersen & Rasmus T. Varneskov, 2018. "Consistent Inference for Predictive Regressions in Persistent VAR Economies," CREATES Research Papers 2018-09, Department of Economics and Business Economics, Aarhus University.
    8. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    9. Stelios Arvanitis & Antonis Demos, "undated". "A Class of Indirect Inference Estimators: Higher Order Asymptotics and Approximate Bias Correction (Revised)," DEOS Working Papers 1411, Athens University of Economics and Business, revised 23 Sep 2014.
    10. Marie Busch & Philipp Sibbertsen, 2018. "An Overview of Modified Semiparametric Memory Estimation Methods," Econometrics, MDPI, vol. 6(1), pages 1-21, March.
    11. Sibbertsen, Philipp & Leschinski, Christian & Busch, Marie, 2018. "A multivariate test against spurious long memory," Journal of Econometrics, Elsevier, vol. 203(1), pages 33-49.
    12. Arteche, Josu & Orbe, Jesus, 2016. "A bootstrap approximation for the distribution of the Local Whittle estimator," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 645-660.
    13. Adam McCloskey & Pierre Perron, 2012. "Memory Parameter Estimation in the Presence of Level Shifts and Deterministic Trends," Working Papers 2012-15, Brown University, Department of Economics.
    14. Lasak, Katarzyna, 2010. "Likelihood based testing for no fractional cointegration," Journal of Econometrics, Elsevier, vol. 158(1), pages 67-77, September.
    15. Dominique Guegan & Zhiping Lu & Beijia Zhu, 2012. "Comparaison of Several Estimation Procedures for Long Term Behavior," Post-Print halshs-00673934, HAL.
    16. Frank S. Nielsen, 2009. "Local Whittle estimation of multivariate fractionally integrated processes," CREATES Research Papers 2009-38, Department of Economics and Business Economics, Aarhus University.
    17. Becker, Janis & Hollstein, Fabian & Prokopczuk, Marcel & Sibbertsen, Philipp, 2019. "The Memory of Beta Factors," Hannover Economic Papers (HEP) dp-661, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    18. de Truchis, Gilles & Keddad, Benjamin, 2016. "On the risk comovements between the crude oil market and U.S. dollar exchange rates," Economic Modelling, Elsevier, vol. 52(PA), pages 206-215.
    19. Wenger, Kai & Leschinski, Christian & Sibbertsen, Philipp, 2017. "The Memory of Volatility," Hannover Economic Papers (HEP) dp-601, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    20. Eduardo Rossi & Paolo Santucci de Magistris, 2014. "Estimation of Long Memory in Integrated Variance," Econometric Reviews, Taylor & Francis Journals, vol. 33(7), pages 785-814, October.
    21. Less, Vivien & Sibbertsen, Philipp, 2022. "Estimation and Testing in a Perturbed Multivariate Long Memory Framework," Hannover Economic Papers (HEP) dp-704, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    22. Leschinski, Christian, 2017. "On the memory of products of long range dependent time series," Economics Letters, Elsevier, vol. 153(C), pages 72-76.
    23. Andersen, Torben G. & Varneskov, Rasmus T., 2021. "Consistent inference for predictive regressions in persistent economic systems," Journal of Econometrics, Elsevier, vol. 224(1), pages 215-244.
    24. Dominique Guegan & Zhiping Lu & BeiJia Zhu, 2012. "Comparaison of several estimation procedures for long term behavior," Documents de travail du Centre d'Economie de la Sorbonne 12008, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    25. Per Frederiksen & Frank S. Nielsen, 2008. "Estimation of Dynamic Models with Nonparametric Simulated Maximum Likelihood," CREATES Research Papers 2008-59, Department of Economics and Business Economics, Aarhus University.
    26. Shi, Wendong & Sun, Jingwei, 2016. "Aggregation and long-memory: An analysis based on the discrete Fourier transform," Economic Modelling, Elsevier, vol. 53(C), pages 470-476.
    27. Frank S. Nielsen, 2011. "Local Whittle estimation of multi‐variate fractionally integrated processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 32(3), pages 317-335, May.
    28. Frank S. Nielsen, 2008. "Local polynomial Whittle estimation covering non-stationary fractional processes," CREATES Research Papers 2008-28, Department of Economics and Business Economics, Aarhus University.
    29. Gilles de Truchis & Florent Dubois & Elena Ivona Dumitrescu, 2019. "Local Whittle Analysis of Stationary Unbalanced Fractional Cointegration Systems," Working Papers hal-04141882, HAL.
    30. Per Frederiksen & Morten Ørregaard Nielsen, 2008. "Bias-reduced estimation of long memory stochastic volatility," CREATES Research Papers 2008-35, Department of Economics and Business Economics, Aarhus University.
    31. García-Enríquez, Javier & Hualde, Javier, 2019. "Local Whittle estimation of long memory: Standard versus bias-reducing techniques," Econometrics and Statistics, Elsevier, vol. 12(C), pages 66-77.

  44. Per Frederiksen & Morten Ørregaard Nielsen, 2008. "Bias-reduced estimation of long memory stochastic volatility," CREATES Research Papers 2008-35, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Artiach, Miguel & Arteche, Josu, 2012. "Doubly fractional models for dynamic heteroscedastic cycles," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 2139-2158.
    2. Adam McCloskey, 2012. "Estimation of the Long-Memory Stochastic Volatility Model Parameters that is Robust to Level Shifts and Deterministic Trends," Working Papers 2012-17, Brown University, Department of Economics.
    3. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    4. Marie Busch & Philipp Sibbertsen, 2018. "An Overview of Modified Semiparametric Memory Estimation Methods," Econometrics, MDPI, vol. 6(1), pages 1-21, March.
    5. Per Frederiksen & Frank S. Nielsen, 2008. "Estimation of Dynamic Models with Nonparametric Simulated Maximum Likelihood," CREATES Research Papers 2008-59, Department of Economics and Business Economics, Aarhus University.
    6. Per Frederiksen & Frank S. Nielsen & Morten Ørregaard Nielsen, 2008. "Local polynomial Whittle estimation of perturbed fractional processes," CREATES Research Papers 2008-29, Department of Economics and Business Economics, Aarhus University.
    7. Mark J. Jensen, 2015. "Robust estimation of nonstationary, fractionally integrated, autoregressive, stochastic volatility," FRB Atlanta Working Paper 2015-12, Federal Reserve Bank of Atlanta.

  45. Morten Ørregaard Nielsen, 2008. "A Powerful Test of the Autoregressive Unit Root Hypothesis Based on a Tuning Parameter Free Statistic," CREATES Research Papers 2008-36, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Morten Ørregaard Nielsen, 2009. "Nonparametric Cointegration Analysis of Fractional Systems With Unknown Integration Orders," CREATES Research Papers 2009-02, Department of Economics and Business Economics, Aarhus University.
    2. Burak Alparslan Eroğlu & Barış Soybilgen, 2018. "On the Performance of Wavelet Based Unit Root Tests," JRFM, MDPI, vol. 11(3), pages 1-22, August.
    3. In Choi, 2014. "Unit root tests for dependent and heterogeneous micropanels," Working Papers 1404, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    4. Eroğlu, Burak Alparslan & Göğebakan, Kemal Çağlar & Trokić, Mirza, 2018. "Powerful nonparametric seasonal unit root tests," Economics Letters, Elsevier, vol. 167(C), pages 75-80.
    5. Leschinski, Christian & Voges, Michelle & Sibbertsen, Philipp, 2019. "A Comparison of Semiparametric Tests for Fractional Cointegration," Hannover Economic Papers (HEP) dp-651, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    6. Morten Ørregaard Nielsen, 2008. "A Powerful Test of the Autoregressive Unit Root Hypothesis Based on a Tuning Parameter Free Statistic," CREATES Research Papers 2008-36, Department of Economics and Business Economics, Aarhus University.
    7. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    8. Karsten Reichold, 2022. "A Residuals-Based Nonparametric Variance Ratio Test for Cointegration," Papers 2211.06288, arXiv.org, revised Dec 2022.
    9. Christis Katsouris, 2023. "High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods," Papers 2308.16192, arXiv.org.
    10. Karsten Reichold, 2024. "A residual‐based nonparametric variance ratio no‐cointegration test," Journal of Time Series Analysis, Wiley Blackwell, vol. 45(5), pages 847-856, September.
    11. Eroğlu, Burak Alparslan, 2019. "Wavelet variance ratio cointegration test and wavestrapping," Journal of Multivariate Analysis, Elsevier, vol. 171(C), pages 298-319.
    12. Hassler, Uwe & Hosseinkouchack, Mehdi, 2025. "Joint Hypothesis Testing from Heterogeneous Samples under Cross-dependence," Econometrics and Statistics, Elsevier, vol. 35(C), pages 41-54.
    13. Dechert, Andreas, 2014. "Fraktionale Kointegrationsbeziehungen zwischen Euribor-Zinssätzen," W.E.P. - Würzburg Economic Papers 93, University of Würzburg, Department of Economics.
    14. Morten Ørregaard Nielsen & Won-Ki Seo & Dakyung Seong, 2020. "Inference on the dimension of the nonstationary subspace in functional time series," Working Paper 1420, Economics Department, Queen's University.
    15. Eroğlu, Burak Alparslan & Yiğit, Taner, 2016. "A nonparametric unit root test under nonstationary volatility," Economics Letters, Elsevier, vol. 140(C), pages 6-10.
    16. Morten Ø. Nielsen, 2008. "A Powerful Tuning Parameter Free Test Of The Autoregressive Unit Root Hypothesis," Working Paper 1175, Economics Department, Queen's University.
    17. Babatunde Sunday Eweade & Ada Chigozie Akadiri & Kehinde O. Olusoga & Ruth Oluyemi Bamidele, 2024. "The symbiotic effects of energy consumption, globalization, and combustible renewables and waste on ecological footprint in the United Kingdom," Natural Resources Forum, Blackwell Publishing, vol. 48(1), pages 274-291, February.
    18. Burak Eroglu, 2017. "Wavelet Variance Ratio Test And Wavestrapping For The Determination Of The Cointegration Rank," Working Papers 1706, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.
    19. Mehdi Hosseinkouchack & Uwe Hassler, 2016. "Powerful Unit Root Tests Free of Nuisance Parameters," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(4), pages 533-554, July.
    20. In Choi, 2019. "Unit Root Tests for Dependent Micropanels," The Japanese Economic Review, Springer, vol. 70(2), pages 145-167, June.
    21. Burak Eroglu & Kemal Caglar Gogebakan & Mirza Trokic, 2017. "Fractional Seasonal Variance Ratio Unit Root Tests," Working Papers 1707, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.
    22. Dechert, Andreas, 2012. "Variance Ratio Testing for Fractional Cointegration in Presence of Trends and Trend Breaks," MPRA Paper 41044, University Library of Munich, Germany.

  46. Morten Ø. Nielsen & Per Houmann Frederiksen, 2008. "Fully Modified Narrow-band Least Squares Estimation Of Stationary Fractional Cointegration," Working Paper 1171, Economics Department, Queen's University.

    Cited by:

    1. Hualde, J. & Robinson, P.M., 2010. "Semiparametric inference in multivariate fractionally cointegrated systems," Journal of Econometrics, Elsevier, vol. 157(2), pages 492-511, August.
    2. Esben Hoeg & Per Frederiksen, 2006. "The Fractional OU Process: Term Structure Theory and Application," Computing in Economics and Finance 2006 194, Society for Computational Economics.
    3. Katarzyna Lasak, 2008. "Maximum likelihood estimation of fractionally cointegrated systems," CREATES Research Papers 2008-53, Department of Economics and Business Economics, Aarhus University.

  47. Nielsen, Morten, 2008. "A Powerful Tuning Parameter Free Test of the Autoregressive Unit Root Hypothesis," Working Papers 08-05, Cornell University, Center for Analytic Economics.

    Cited by:

    1. Morten Ørregaard Nielsen, 2009. "Nonparametric Cointegration Analysis of Fractional Systems With Unknown Integration Orders," CREATES Research Papers 2009-02, Department of Economics and Business Economics, Aarhus University.
    2. Morten Ørregaard Nielsen, 2008. "A Powerful Test of the Autoregressive Unit Root Hypothesis Based on a Tuning Parameter Free Statistic," CREATES Research Papers 2008-36, Department of Economics and Business Economics, Aarhus University.
    3. Dechert, Andreas, 2014. "Fraktionale Kointegrationsbeziehungen zwischen Euribor-Zinssätzen," W.E.P. - Würzburg Economic Papers 93, University of Würzburg, Department of Economics.
    4. Morten Ø. Nielsen, 2008. "A Powerful Tuning Parameter Free Test Of The Autoregressive Unit Root Hypothesis," Working Paper 1175, Economics Department, Queen's University.
    5. Dechert, Andreas, 2012. "Variance Ratio Testing for Fractional Cointegration in Presence of Trends and Trend Breaks," MPRA Paper 41044, University Library of Munich, Germany.

  48. Bent Jesper Christensen & Morten Ørregaard Nielsen, 2007. "The Effect of Long Memory in Volatility on Stock Market Fluctuations," CREATES Research Papers 2007-03, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Jie Zhu, 2008. "FIEGARCH-M and and International Crises: A Cross-Country Analysis," CREATES Research Papers 2008-16, Department of Economics and Business Economics, Aarhus University.
    2. Zhongjun Qu, 2010. "A Test Against Spurious Long Memory," Boston University - Department of Economics - Working Papers Series WP2010-051, Boston University - Department of Economics.
    3. Bekiros, Stelios & Jlassi, Mouna & Naoui, Kamel & Uddin, Gazi Salah, 2018. "Risk perception in financial markets: On the flip side," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 184-206.
    4. Gagnon, Marie-Hélène & Power, Gabriel J. & Toupin, Dominique, 2016. "International stock market cointegration under the risk-neutral measure," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 243-255.
    5. Long H. Vo, 2017. "Estimating Financial Volatility with High-Frequency Returns," Journal of Finance and Economics Research, Geist Science, Iqra University, Faculty of Business Administration, vol. 2(2), pages 84-114, October.
    6. Li, Junye, 2011. "Volatility components, leverage effects, and the return-volatility relations," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1530-1540, June.
    7. Farag, Hisham, 2013. "Price limit bands, asymmetric volatility and stock market anomalies: Evidence from emerging markets," Global Finance Journal, Elsevier, vol. 24(1), pages 85-97.
    8. Christensen, Bent Jesper & Dahl, Christian M. & Iglesias, Emma M., 2012. "Semiparametric inference in a GARCH-in-mean model," Journal of Econometrics, Elsevier, vol. 167(2), pages 458-472.
    9. Ke-Li Xu & Junjie Guo, 2021. "A New Test for Multiple Predictive Regression," CAEPR Working Papers 2022-001 Classification-C, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    10. Conrad, Christian & Karanasos, Menelaos & Zeng, Ning, 2011. "Multivariate fractionally integrated APARCH modeling of stock market volatility: A multi-country study," Journal of Empirical Finance, Elsevier, vol. 18(1), pages 147-159, January.
    11. Song, Ziyu & Gong, Xiaomin & Zhang, Cheng & Yu, Changrui, 2023. "Investor sentiment based on scaled PCA method: A powerful predictor of realized volatility in the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 528-545.
    12. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    13. Massimiliano Giacalone & Demetrio Panarello, 2022. "A Nonparametric Approach for Testing Long Memory in Stock Returns’ Higher Moments," Mathematics, MDPI, vol. 10(5), pages 1-21, February.
    14. Bent Jesper Christensen & Morten Ørregaard Nielsen & Jie Zhu, 2012. "The impact of financial crises on the risk-return tradeoff and the leverage effect," CREATES Research Papers 2012-19, Department of Economics and Business Economics, Aarhus University.
    15. Kunal Saha & Vinodh Madhavan & Chandrashekhar G. R. & David McMillan, 2020. "Pitfalls in long memory research," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1733280-173, January.
    16. Zouheir Mighri & Faysal Mansouri, 2014. "Modeling international stock market contagion using multivariate fractionally integrated APARCH approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-25, December.
    17. Ke, Shuyao & Phillips, Peter C.B. & Su, Liangjun, 2024. "Robust inference of panel data models with interactive fixed effects under long memory: A frequency domain approach," Journal of Econometrics, Elsevier, vol. 241(2).
    18. Chen, Jilong & Xu, Liao & Xu, Hao, 2022. "The impact of COVID-19 on commodity options market: Evidence from China," Economic Modelling, Elsevier, vol. 116(C).
    19. Dahl, Christian M. & Iglesias, Emma M., 2009. "Volatility spill-overs in commodity spot prices: New empirical results," Economic Modelling, Elsevier, vol. 26(3), pages 601-607, May.
    20. Christensen, Bent Jesper & Varneskov, Rasmus Tangsgaard, 2017. "Medium band least squares estimation of fractional cointegration in the presence of low-frequency contamination," Journal of Econometrics, Elsevier, vol. 197(2), pages 218-244.
    21. Lui, Yiu Lim & Phillips, Peter C.B. & Yu, Jun, 2024. "Robust testing for explosive behavior with strongly dependent errors," Journal of Econometrics, Elsevier, vol. 238(2).
    22. Liu, Chen & Wang, Chao & Tran, Minh-Ngoc & Kohn, Robert, 2025. "A long short-term memory enhanced realized conditional heteroskedasticity model," Economic Modelling, Elsevier, vol. 142(C).
    23. Hassler, Uwe & Hosseinkouchack, Mehdi, 2014. "Effect of the order of fractional integration on impulse responses," Economics Letters, Elsevier, vol. 125(2), pages 311-314.
    24. Daniela Osterrieder & Daniel Ventosa-Santaulària & J. Eduardo Vera-Valdés, 2015. "Unbalanced Regressions and the Predictive Equation," CREATES Research Papers 2015-09, Department of Economics and Business Economics, Aarhus University.
    25. Arturo Leccadito & Omar Rachedi & Giovanni Urga, 2015. "True Versus Spurious Long Memory: Some Theoretical Results and a Monte Carlo Comparison," Econometric Reviews, Taylor & Francis Journals, vol. 34(4), pages 452-479, April.
    26. Naveen Musunuru, 2019. "Modeling Long Range Dependence in Wheat Food Price Returns," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(9), pages 1-46, September.
    27. Richard T. Baillie & Fabio Calonaci & Dooyeon Cho & Seunghwa Rho, 2019. "Long Memory, Realized Volatility and HAR Models," Working Papers 881, Queen Mary University of London, School of Economics and Finance.
    28. Massimiliano Caporin & C. Vladimir Rodríguez-Caballero & Esther Ruiz, 2024. "The factor structure of exchange rates volatility: global and intermittent factors," Empirical Economics, Springer, vol. 67(1), pages 31-45, July.
    29. Xue-Zhong He & Huanhuan Zheng, 2016. "Trading Heterogeneity Under Information Uncertainty," Research Paper Series 373, Quantitative Finance Research Centre, University of Technology, Sydney.
    30. Pedro Chaim & Márcio Poletti Laurini, 2024. "Bayesian Inference for Long Memory Stochastic Volatility Models," Econometrics, MDPI, vol. 12(4), pages 1-28, November.
    31. Dahl Christian M & Iglesias Emma, 2011. "Modeling the Volatility-Return Trade-Off When Volatility May Be Nonstationary," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-32, February.
    32. Neil Kellard & Denise Osborn & Jerry Coakley & Christian Conrad & Menelaos Karanasos, 2015. "On the Transmission of Memory in Garch-in-Mean Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(5), pages 706-720, September.
    33. Vafiadis Nikolaos, 2015. "Forecasting Volatility and the Risk–Return Tradeoff: An Application on the Fama–French Benchmark Market Return," Journal of Time Series Econometrics, De Gruyter, vol. 7(2), pages 181-216, July.
    34. A. M. M. Shahiduzzaman Quoreshi & Reaz Uddin & Viroj Jienwatcharamongkhol, 2019. "Equity Market Contagion in Return Volatility during Euro Zone and Global Financial Crises: Evidence from FIMACH Model," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    35. Seo, Sung Won & Kim, Jun Sik, 2015. "The information content of option-implied information for volatility forecasting with investor sentiment," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 106-120.
    36. Liang, Chao & Ma, Feng & Li, Ziyang & Li, Yan, 2020. "Which types of commodity price information are more useful for predicting US stock market volatility?," Economic Modelling, Elsevier, vol. 93(C), pages 642-650.
    37. Tim Bollerslev & Daniela Osterrieder & Natalia Sizova & George Tauchen, 2011. "Risk and Return: Long-Run Relationships, Fractional Cointegration, and Return Predictability," CREATES Research Papers 2011-51, Department of Economics and Business Economics, Aarhus University.
    38. Christensen, Bent Jesper & Nielsen, Morten Ørregaard & Zhu, Jie, 2010. "Long memory in stock market volatility and the volatility-in-mean effect: The FIEGARCH-M Model," Journal of Empirical Finance, Elsevier, vol. 17(3), pages 460-470, June.
    39. Bollerslev, Tim & Osterrieder, Daniela & Sizova, Natalia & Tauchen, George, 2013. "Risk and return: Long-run relations, fractional cointegration, and return predictability," Journal of Financial Economics, Elsevier, vol. 108(2), pages 409-424.
    40. Lovcha, Yuliya & Perez-Laborda, Alejandro, 2022. "Long-memory and volatility spillovers across petroleum futures," Energy, Elsevier, vol. 243(C).
    41. Sun, Yiguo & Hsiao, Cheng & Li, Qi, 2011. "Measuring correlations of integrated but not cointegrated variables: A semiparametric approach," Journal of Econometrics, Elsevier, vol. 164(2), pages 252-267, October.
    42. Chen Liu & Chao Wang & Minh-Ngoc Tran & Robert Kohn, 2023. "Deep Learning Enhanced Realized GARCH," Papers 2302.08002, arXiv.org, revised Oct 2023.
    43. Ouandlous, Arav & Barkoulas, John T. & Alhaj-Yaseen, Yaseen, 2018. "Persistence and discontinuity in the VIX dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 113(C), pages 333-344.
    44. Lee Jihyun & Kim Tong S & Lee Hoe Kyung, 2010. "Return-Volatility Relationship in High Frequency Data: Multiscale Horizon Dependency," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(1), pages 1-43, December.
    45. Tan, Zhengxun & Xiao, Binuo & Huang, Yilong & Zhou, Li, 2021. "Value at risk and return in Chinese and the US stock markets: Double long memory and fractional cointegration," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    46. Zouheir Mighri, 2018. "On the Dynamic Linkages Among International Emerging Currencies," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(2), pages 427-473, June.
    47. Minxian Yang, 2014. "The Risk Return Relationship: Evidence from Index Return and Realised Variance Series," Discussion Papers 2014-16, School of Economics, The University of New South Wales.
    48. Mengyu Wang & Shay B. Cohen & Tiejun Ma, 2024. "Modeling News Interactions and Influence for Financial Market Prediction," Papers 2410.10614, arXiv.org.
    49. Zanetti Chini, Emilio, 2025. "Judgment can spur long memory," Journal of Economic Dynamics and Control, Elsevier, vol. 170(C).
    50. Anastasios Megaritis & Alexandros Kontonikas & Nikolaos Vlastakis & Athanasios Triantafyllou, 2025. "The term structure of interest rates as predictor of stock market volatility," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 3212-3229, July.
    51. Yang, Minxian, 2019. "The risk return relationship: Evidence from index returns and realised variances," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.

  49. Søren Johansen & Morten Ørregaard Nielsen, 2007. "Likelihood inference for a nonstationary fractional autoregressive model," CREATES Research Papers 2007-33, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Maggie E. C. Jones & Morten Ørregaard Nielsen & Michael Ksawery Popiel, 2014. "A fractionally cointegrated VAR analysis of economic voting and political support," CREATES Research Papers 2014-23, Department of Economics and Business Economics, Aarhus University.
    2. Samet Gunay, 2018. "Fractionally Cointegrated Vector Autoregression Model: Evaluation of High/Low and Close/Open Spreads for Precious Metals," SAGE Open, , vol. 8(4), pages 21582440188, November.
    3. Luis Alberiko A. Gil-Alana & María Jesús González-Blanch & Carlos Poza, 2025. "Labour market mismatches in G7 countries: a fractional integration approach," Applied Economics, Taylor & Francis Journals, vol. 57(7), pages 736-752, February.
    4. Morten Ørregaard Nielsen, 2009. "Nonparametric Cointegration Analysis of Fractional Systems With Unknown Integration Orders," CREATES Research Papers 2009-02, Department of Economics and Business Economics, Aarhus University.
    5. Gloria Claudio-Quiroga & Luis Alberiko Gil-Alana & Andoni Maiza-Larrarte, 2025. "Mean reversion and long memory dynamics in the Shanghai Containerized Freight Index," Journal of Shipping and Trade, Springer, vol. 10(1), pages 1-17, December.
    6. Yan, Meng & Chen, Jian & Song, Victor & Xu, Ke, 2022. "Trade friction and price discovery in the USD–CAD spot and forward markets," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    7. Luis A. Gil-Alana & Sakiru Adebola Solarin & Mehmet Balcilar & Rangan Gupta, 2023. "Productivity and GDP: international evidence of persistence and trends over 130 years of data," Empirical Economics, Springer, vol. 64(3), pages 1219-1246, March.
    8. Galán-Gutiérrez, Juan Antonio & Martín-García, Rodrigo, 2021. "Cointegration between the structure of copper futures prices and Brexit," Resources Policy, Elsevier, vol. 71(C).
    9. Quineche Ricardo, 2021. "Consumption, Aggregate Wealth and Expected Stock Returns: An FCVAR Approach," Journal of Time Series Econometrics, De Gruyter, vol. 13(1), pages 21-42, January.
    10. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Leyre Muñoz, 2025. "Earthquakes and Stock Market Performance: Evidence from Japan," CESifo Working Paper Series 11822, CESifo.
    11. Gagnon, Marie-Hélène & Power, Gabriel J. & Toupin, Dominique, 2016. "International stock market cointegration under the risk-neutral measure," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 243-255.
    12. Tobias Hartl & Rolf Tschernig & Enzo Weber, 2020. "Fractional trends in unobserved components models," Papers 2005.03988, arXiv.org, revised May 2020.
    13. Sepideh Dolatabadi & Paresh Kumar Narayan & Morten Ørregaard Nielsen & Ke Xu, 2018. "Economic significance of commodity return forecasts from the fractionally cointegrated VAR model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(2), pages 219-242, February.
    14. Dolatabadi, Sepideh & Nielsen, Morten Ørregaard & Xu, Ke, 2016. "A fractionally cointegrated VAR model with deterministic trends and application to commodity futures markets," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 623-639.
    15. Søren Johansen & Morten Ørregaard Nielsen, 2012. "The role of initial values in nonstationary fractional time series models," Discussion Papers 12-18, University of Copenhagen. Department of Economics.
    16. Gil-Alana, Luis A. & Yaya, OlaOluwa S, 2018. "How do Stocks in BRICS co-move with REITs?," MPRA Paper 88753, University Library of Munich, Germany.
    17. Alexander Boca Saravia & Gabriel Rodríguez, 2022. "Presidential approval in Peru: an empirical analysis using a fractionally cointegrated VAR," Economic Change and Restructuring, Springer, vol. 55(3), pages 1973-2010, August.
    18. Gil-Alana, Luis A. & Infante, Juan & Martín-Valmayor, Miguel Angel, 2023. "Persistence and long run co-movements across stock market prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 347-357.
    19. Federico Carlini & Paolo Santucci de Magistris, 2013. "On the identification of fractionally cointegrated VAR models with the F(d) condition," CREATES Research Papers 2013-44, Department of Economics and Business Economics, Aarhus University.
    20. James G. MacKinnon & Morten Ørregaard Nielsen, 2014. "Numerical Distribution Functions Of Fractional Unit Root And Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 161-171, January.
    21. Giuseppe Cavaliere & Morten Ø. Nielsen & A.M. Robert Taylor, 2013. "Bootstrap Score Tests For Fractional Integration In Heteroskedastic Arfima Models, With An Application To Price Dynamics In Commodity Spot And Futures Markets," Working Paper 1309, Economics Department, Queen's University.
    22. Javier Hualde & Morten Ørregaard Nielsen, 2022. "Truncated sum-of-squares estimation of fractional time series models with generalized power law trend," Working Paper 1458, Economics Department, Queen's University.
    23. Eduardo Rossi & Paolo Santucci de Magistris, 2013. "A No‐Arbitrage Fractional Cointegration Model for Futures and Spot Daily Ranges," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(1), pages 77-102, January.
    24. Emmanuel Joel Aikins Abakah & Guglielmo Maria Caporale & Luis A. Gil-Alana, 2020. "Economic Policy Uncertainty: Persistence and Cross-Country Linkages," CESifo Working Paper Series 8289, CESifo.
    25. Guglielmo Maria Caporale & Hector Carcel & Luis A. Gil-Alana, 2018. "Prospects for a Monetary Union in the East Africa Community: Some Empirical Evidence," CESifo Working Paper Series 7073, CESifo.
    26. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    27. Stoupos, Nikolaos & Kiohos, Apostolos, 2022. "Bond markets integration in the EU: New empirical evidence from the Eastern non-euro member-states," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    28. Davidson, James & Hashimzade, Nigar, 2009. "Type I and type II fractional Brownian motions: A reconsideration," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2089-2106, April.
    29. Monge, Manuel & Cristóbal, Enrique, 2021. "Terrorism and the behavior of oil production and prices in OPEC," Resources Policy, Elsevier, vol. 74(C).
    30. Monge, Manuel & Gil-Alana, Luis A., 2021. "Lithium industry and the U.S. crude oil prices. A fractional cointegration VAR and a Continuous Wavelet Transform analysis," Resources Policy, Elsevier, vol. 72(C).
    31. Gil-Alana, Luis A. & Yaya, OlaOluwa S. & Awe, Olushina O., 2017. "Time series analysis of co-movements in the prices of gold and oil: Fractional cointegration approach," Resources Policy, Elsevier, vol. 53(C), pages 117-124.
    32. Morten Ørregaard Nielsen, 2014. "Asymptotics for the conditional-sum-of-squares estimator in multivariate fractional time series models," CREATES Research Papers 2014-34, Department of Economics and Business Economics, Aarhus University.
    33. Poza, Carlos & Monge, Manuel, 2020. "A real time leading economic indicator based on text mining for the Spanish economy. Fractional cointegration VAR and Continuous Wavelet Transform analysis," International Economics, Elsevier, vol. 163(C), pages 163-175.
    34. Senra Hodelin, Reynaldo, 2022. "Public banking and economic growth: The experiences of 10 countries since the 1950s until 2017," Economic Systems, Elsevier, vol. 46(1).
    35. Leandro Maciel, 2020. "Technical analysis based on high and low stock prices forecasts: evidence for Brazil using a fractionally cointegrated VAR model," Empirical Economics, Springer, vol. 58(4), pages 1513-1540, April.
    36. Pérez-Rodríguez, Jorge V. & Andrada-Félix, Julián & Rachinger, Heiko, 2021. "Testing the forward volatility unbiasedness hypothesis in exchange rates under long-range dependence," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    37. Luis Gil-Alana & Antonio Moreno, 2012. "Fractional integration and structural breaks in U.S. macro dynamics," Empirical Economics, Springer, vol. 43(1), pages 427-446, August.
    38. Gil-Alana, Luis A. & Yaya, OlaOluwa S. & Akinsomi, Omokolade & Coskun, Yener, 2020. "How do stocks in BRICS co-move with real estate stocks?," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 93-101.
    39. Sepideh Dolatabadi & Morten Ørregaard Nielsen & Ke Xu, 2015. "A Fractionally Cointegrated VAR Analysis of Price Discovery in Commodity Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 339-356, April.
    40. Baruník, Jozef & Dvořáková, Sylvie, 2015. "An empirical model of fractionally cointegrated daily high and low stock market prices," Economic Modelling, Elsevier, vol. 45(C), pages 193-206.
    41. Yaya, OlaOluwa S & Ogbonna, Ephraim A & Olubusoye, Olusanya E, 2018. "How Persistent and Dependent are Pricing of Bitcoin to other Cryptocurrencies Before and After 2017/18 Crash?," MPRA Paper 91253, University Library of Munich, Germany.
    42. Guglielmo Maria Caporale & Juncal Cunado & Luis A. Gil-Alana & Rangan Gupta, 2018. "The relationship between healthcare expenditure and disposable personal income in the US states: a fractional integration and cointegration analysis," Empirical Economics, Springer, vol. 55(3), pages 913-935, November.
    43. Abbritti, Mirko & Carcel, Hector & Gil-Alana, Luis & Moreno, Antonio, 2023. "Term premium in a fractionally cointegrated yield curve," Journal of Banking & Finance, Elsevier, vol. 149(C).
    44. Dimitriou, Dimitrios & Kenourgios, Dimitris & Simos, Theodore, 2020. "Are there any other safe haven assets? Evidence for “exotic” and alternative assets," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 614-628.
    45. Carlos D. Ramirez, 2024. "The effect of economic policy uncertainty under fractional integration," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 23(1), pages 89-110, January.
    46. Lena Dräger & Theoplasti Kolaiti & Philipp Sibbertsen, 2023. "Measuring macroeconomic convergence and divergence within EMU using long memory," Empirical Economics, Springer, vol. 65(5), pages 2333-2356, November.
    47. Afsin Sahin, 2019. "Loom of Symmetric Pass-Through," Economies, MDPI, vol. 7(1), pages 1-25, February.
    48. Morten Ø. Nielsen & S Johansen, 2018. "Nonstationary Cointegration In The Fractionally Cointegrated Var Model," Working Paper 1405, Economics Department, Queen's University.
    49. Murat Gündüz, 2020. "Healthcare expenditure and carbon footprint in the USA: evidence from hidden cointegration approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(5), pages 801-811, July.
    50. Luis A. Gil-Alana & Antonio Moreno & Seonghoon Cho, 2012. "The Deaton paradox in a long memory context with structural breaks," Applied Economics, Taylor & Francis Journals, vol. 44(25), pages 3309-3322, September.
    51. Bensalma, Ahmed, 2015. "New Fractional Dickey and Fuller Test," MPRA Paper 65282, University Library of Munich, Germany.
    52. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Nicola Rubino & Inmaculada Vilchez, 2024. "Modelling Loans to Non-Financial Corporations in the Eurozone: A Long-Memory Approach," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 30(3), pages 231-254, August.
    53. Niels Haldrup & Robinson Kruse, 2014. "Discriminating between fractional integration and spurious long memory," CREATES Research Papers 2014-19, Department of Economics and Business Economics, Aarhus University.
    54. Soeren Johansen & Morten Oeregaard Nielsen, 2017. "Testing the CVAR in the fractional CVAR model," Discussion Papers 17-23, University of Copenhagen. Department of Economics.
    55. Monge, Manuel & Gil-Alana, Luis Alberiko, 2021. "Spatial crude oil production divergence and crude oil price behaviour in the United States," Energy, Elsevier, vol. 232(C).
    56. Cavaliere, Giuseppe & Nielsen, Morten Ørregaard & Taylor, A.M. Robert, 2017. "Quasi-maximum likelihood estimation and bootstrap inference in fractional time series models with heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 198(1), pages 165-188.
    57. Håvard Hungnes, 2016. "Fractionality and co-fractionality between Government Bond yields," Discussion Papers 838, Statistics Norway, Research Department.
    58. Jose Maria Fernandez-Crehuet & Luis Alberiko Gil-Alana & Cristina Martí Barco, 2020. "Unemployment and Fertility: A Long Run Relationship," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(3), pages 1177-1196, December.
    59. Morten Ø. Nielsen & S Johansen, 2012. "The Role Of Initial Values In Conditional Sum-of-squares Estimation Of Nonstationary Fractional Time Series Models," Working Paper 1300, Economics Department, Queen's University.
    60. Stoupos, Nikolaos & Kiohos, Apostolos, 2021. "Energy commodities and advanced stock markets: A post-crisis approach," Resources Policy, Elsevier, vol. 70(C).
    61. Clements, A.E. & Hurn, A.S. & Volkov, V.V., 2016. "Common trends in global volatility," Journal of International Money and Finance, Elsevier, vol. 67(C), pages 194-214.
    62. Monge, Manuel & Poza, Carlos & Borgia, Sofía, 2022. "A proposal of a suspicion of tax fraud indicator based on Google trends to foresee Spanish tax revenues," International Economics, Elsevier, vol. 169(C), pages 1-12.
    63. Nikolaos Stoupos & Apostolos Kiohos, 2022. "Euro Area: Towards a European Common Bond? – Empirical Evidence from the Sovereign Debt Markets," Journal of Common Market Studies, Wiley Blackwell, vol. 60(4), pages 1019-1046, July.
    64. Alia Afzal & Philipp Sibbertsen, 2021. "Modeling fractional cointegration between high and low stock prices in Asian countries," Empirical Economics, Springer, vol. 60(2), pages 661-682, February.
    65. Luis A. Gil-Alana & Emmanuel Joel Aikins Abakah & Nieves Carmona-González & Aviral Kumar Tiwari, 2024. "Consumer sentiments across G7 and BRICS economies: Are they related?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 48(2), pages 323-344, June.
    66. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Carlos Poza & José L. Ruiz-Alba, 2025. "The COVID-19 Shock and Spanish Hotel Activity," CESifo Working Paper Series 11985, CESifo.
    67. Adebola, Solarin Sakiru & Gil-Alana, Luis A. & Madigu, Godfrey, 2019. "Gold prices and the cryptocurrencies: Evidence of convergence and cointegration," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1227-1236.
    68. Qian, Yao & Ralescu, Dan A. & Zhang, Bo, 2019. "The analysis of factors affecting global gold price," Resources Policy, Elsevier, vol. 64(C).
    69. Maria Malmierca-Ordoqui & Luis A. Gil-Alana & Manuel Monge, 2024. "Fractional cointegration between energy imports to the EURO area and exchange rates to the US dollar," Empirical Economics, Springer, vol. 66(2), pages 859-882, February.
    70. C. Flores Komatsu & L. A. Gil-Alana, 2025. "Analyzing Stationarity in World Coffee Prices," Computational Economics, Springer;Society for Computational Economics, vol. 65(4), pages 2115-2131, April.
    71. Morten Ø. Nielsen & Michal Ksawery Popiel, 2018. "A Matlab Program And User's Guide For The Fractionally Cointegrated Var Model," Working Paper 1330, Economics Department, Queen's University.
    72. Søren Johansen, 2011. "An extension of cointegration to fractional autoregressive processes," CREATES Research Papers 2011-06, Department of Economics and Business Economics, Aarhus University.
    73. Stoupos, Nikolaos & Kiohos, Apostolos, 2022. "Euro area stock markets integration: Empirical evidence after the end of 2010 debt crisis," Finance Research Letters, Elsevier, vol. 46(PB).
    74. Gil-Alana, Luis A. & Škare, Marinko & Pržiklas-Družeta, Romina, 2019. "Measuring inequality persistence in OECD 1963–2008 using fractional integration and cointegration," The Quarterly Review of Economics and Finance, Elsevier, vol. 72(C), pages 65-72.
    75. OlaOluwa S. Yaya & Nurudeen Abu & Tayo P. Ogundunmade, 2021. "Economic policy uncertainty in G7 countries: evidence of long-range dependence and cointegration," Economic Change and Restructuring, Springer, vol. 54(2), pages 541-556, May.
    76. Maria Malmierca-Ordoqui & Luis A. Gil-Alana & Lorenzo Bermejo, 2024. "Private and public debt convergence: a fractional cointegration approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(1), pages 161-183, February.
    77. Giuseppe Cavaliere & Morten Ørregaard Nielsen & Robert Taylor, 2020. "Adaptive Inference in Heteroskedastic Fractional Time Series Models," CREATES Research Papers 2020-08, Department of Economics and Business Economics, Aarhus University.
    78. Monge, Manuel & Claudio-Quiroga, Gloria & Poza, Carlos, 2024. "Chinese economic behavior in times of covid-19. A new leading economic indicator based on Google trends," International Economics, Elsevier, vol. 177(C).
    79. Bravo Caro, José Manuel & Golpe, Antonio A. & Iglesias, Jesús & Vides, José Carlos, 2020. "A new way of measuring the WTI – Brent spread. Globalization, shock persistence and common trends," Energy Economics, Elsevier, vol. 85(C).
    80. Eduardo Rossi & Paolo Santucci de Magistris, 2009. "A No Arbitrage Fractional Cointegration Analysis Of The Range Based Volatility," CREATES Research Papers 2009-31, Department of Economics and Business Economics, Aarhus University.
    81. Tschernig, Rolf & Weber, Enzo & Weigand, Roland, 2013. "Fractionally Integrated VAR Models with a Fractional Lag Operator and Deterministic Trends: Finite Sample Identification and Two-step Estimation," University of Regensburg Working Papers in Business, Economics and Management Information Systems 471, University of Regensburg, Department of Economics.
    82. Goodness C. Aye & Hector Carcel & Luis A. Gil-Alana & Rangan Gupta, 2017. "Does Gold Act as a Hedge against Inflation in the UK? Evidence from a Fractional Cointegration Approach Over 1257 to 2016," Working Papers 201753, University of Pretoria, Department of Economics.
    83. Caporale, Guglielmo Maria & Gil-Alana, Luis A. & Poza, Carlos, 2020. "High and low prices and the range in the European stock markets: A long-memory approach," Research in International Business and Finance, Elsevier, vol. 52(C).
    84. Massimo Franchi & Paolo Paruolo, 2017. "A general inversion theorem for cointegration," DSS Empirical Economics and Econometrics Working Papers Series 2017/3, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
    85. Guglielmo Maria Caporale & José Javier de Dios Mazariegos & Luis A. Gil-Alana, 2022. "Long-Run Linkages between US Stock Prices and Cryptocurrencies: A Fractional Cointegration Analysis," CESifo Working Paper Series 9950, CESifo.
    86. Tobias Hartl, 2021. "Monitoring the pandemic: A fractional filter for the COVID-19 contact rate," Papers 2102.10067, arXiv.org.
    87. Salisu, Afees A. & Ndako, Umar B. & Adediran, Idris A. & Swaray, Raymond, 2020. "A fractional cointegration VAR analysis of Islamic stocks: A global perspective," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    88. Chen, Yu-Lun & Xu, Ke, 2021. "The impact of RMB’s SDR inclusion on price discovery in onshore-offshore markets," Journal of Banking & Finance, Elsevier, vol. 127(C).
    89. Yaya, OlaOluwa S & Gil-Alana, Luis A., 2018. "High and Low Intraday Commodity Prices: A Fractional Integration and Cointegration Approach," MPRA Paper 90518, University Library of Munich, Germany.
    90. Federico Carlini & Paolo Santucci de Magistris, 2019. "Resuscitating the co-fractional model of Granger (1986)," Discussion Papers 19/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    91. David Gabauer & Rangan Gupta & Jacobus Nel & Woraphon Yamaka, 2021. "Time-Varying Predictability of Labor Productivity on Inequality in United Kingdom," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(3), pages 771-788, June.
    92. Javier Hualde & Morten Ørregaard Nielsen, 2020. "Truncated sum of squares estimation of fractional time series models with deterministic trends," CREATES Research Papers 2020-07, Department of Economics and Business Economics, Aarhus University.
    93. Guglielmo Maria Caporale & Gloria Claudio-Quiroga & Luis A. Gil-Alana, 2021. "Analysing the relationship between CO2 emissions and GDP in China: a fractional integration and cointegration approach," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-16, December.
    94. Apergis, Nicholas & Carmona-González, Nieves & Gil-Alana, Luis Alberiko, 2020. "Persistence in silver prices and the influence of solar energy," Resources Policy, Elsevier, vol. 69(C).
    95. Sakiru Adebola Solarin & Carmen Lafuente & Luis A. Gil-Alana & Maria Jesus Gonzalez Blanch, 2022. "Inequality Persistence of 21 OECD Countries from 1870 to 2020: Linear and Non-Linear Fractional Integration Approaches," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(2), pages 711-725, November.
    96. Guglielmo Maria Caporale & Alfonso Dominguez & Luis Alberiko Gil-Alana, 2025. "Testing for Persistence in Real House Prices in 47 Countries from the OECD Database," CESifo Working Paper Series 11662, CESifo.
    97. Monge, Manuel & Romero Rojo, María Fátima & Gil-Alana, Luis Alberiko, 2023. "The impact of geopolitical risk on the behavior of oil prices and freight rates," Energy, Elsevier, vol. 269(C).
    98. Guglielmo Maria Caporale & Gloria Claudio-Quiroga & Luis A. Gil-Alana, 2019. "CO2 Emissions and GDP: Evidence from China," CESifo Working Paper Series 7881, CESifo.
    99. Monge, Manuel & Lazcano, Ana & Parada, José Luis, 2023. "Growth vs value investing: Persistence and time trend before and after COVID-19," Research in International Business and Finance, Elsevier, vol. 65(C).
    100. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2020. "Modelling Loans to Non-Financial Corporations within the Eurozone: A Long-Memory Approach," CESifo Working Paper Series 8674, CESifo.
    101. Luis A. Gil-Alana & Marinko Skare, 2018. "Testing the great decoupling: a long memory approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(4), pages 801-820, November.
    102. Gil-Alana, Luis A. & Carcel, Hector, 2020. "A fractional cointegration var analysis of exchange rate dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    103. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Carlos Poza, 2022. "Inflation in the G7 countries: persistence and structural breaks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(3), pages 493-506, July.

  50. Torben G. Andersen & Tim Bollerslev & Per Houmann Frederiksen & Morten Ørregaard Nielsen, 2007. "Continuous-Time Models, Realized Volatilities, and Testable Distributional Implications for Daily Stock Returns," CREATES Research Papers 2007-21, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2020. "The contribution of intraday jumps to forecasting the density of returns," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02505861, HAL.
    2. Nielsen, Morten Ørregaard & Frederiksen, Per, 2008. "Finite sample accuracy and choice of sampling frequency in integrated volatility estimation," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 265-286, March.
    3. Thierry Ane & Carole Metais, 2010. "Jump Distribution Characteristics: Evidence from European Stock Markets," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 9(1), pages 1-22, April.
    4. Fengler, Matthias R. & Mammen, Enno & Vogt, Michael, 2013. "Additive modeling of realized variance: tests for parametric specifications and structural breaks," Economics Working Paper Series 1332, University of St. Gallen, School of Economics and Political Science.
    5. Degiannakis, Stavros & Floros, Christos, 2014. "Intra-Day Realized Volatility for European and USA Stock Indices," MPRA Paper 64940, University Library of Munich, Germany, revised Jan 2015.
    6. Degiannakis, Stavros & Filis, George, 2017. "Forecasting oil price realized volatility using information channels from other asset classes," MPRA Paper 96276, University Library of Munich, Germany.
    7. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2017. "The contribution of jumps to forecasting the density of returns," Post-Print halshs-01442618, HAL.
    8. Peter Reinhard Hansen & Chen Tong, 2024. "Moments by Integrating the Moment-Generating Function," Papers 2410.23587, arXiv.org, revised Oct 2025.
    9. Gilder, Dudley & Shackleton, Mark B. & Taylor, Stephen J., 2014. "Cojumps in stock prices: Empirical evidence," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 443-459.
    10. Johannes Stübinger & Lucas Schneider, 2019. "Statistical Arbitrage with Mean-Reverting Overnight Price Gaps on High-Frequency Data of the S&P 500," JRFM, MDPI, vol. 12(2), pages 1-19, April.
    11. Giovanni Masala & Filippo Petroni, 2023. "Drawdown risk measures for asset portfolios with high frequency data," Annals of Finance, Springer, vol. 19(2), pages 265-289, June.
    12. Aldrich, Eric M. & Heckenbach, Indra & Laughlin, Gregory, 2016. "A compound duration model for high-frequency asset returns," Journal of Empirical Finance, Elsevier, vol. 39(PA), pages 105-128.
    13. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2020. "The contribution of intraday jumps to forecasting the density of returns," Post-Print halshs-02505861, HAL.
    14. Gao, Ya & Han, Xing & Li, Youwei & Xiong, Xiong, 2019. "Overnight Momentum, Informational Shocks, and Late-Informed Trading in China," MPRA Paper 96784, University Library of Munich, Germany.
    15. BAUWENS, Luc & BRAIONE, Manuela & STORTI, Giuseppe, 2016. "Multiplicative Conditional Correlation Models for Realized Covariance Matrices," LIDAM Discussion Papers CORE 2016041, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    16. Chen, Han & Fei, Yijie & Yu, Jun, 2025. "Multivariate stochastic volatility models based on generalized Fisher transformation," Journal of Econometrics, Elsevier, vol. 251(C).
    17. John Elder & Hong Miao & Sanjay Ramchander, 2013. "Jumps in Oil Prices: The Role of Economic News," The Energy Journal, , vol. 34(3), pages 217-237, July.
    18. Chevallier, Julien & Sévi, Benoît, 2012. "On the volatility–volume relationship in energy futures markets using intraday data," Energy Economics, Elsevier, vol. 34(6), pages 1896-1909.
    19. Lai, Yu-Sheng, 2022. "Improving hedging performance by using high–low range," Finance Research Letters, Elsevier, vol. 48(C).
    20. Tetsuya Takaishi, 2016. "Dynamical cross-correlation of multiple time series Ising model," Evolutionary and Institutional Economics Review, Springer, vol. 13(2), pages 455-468, December.
    21. Barunik, Jozef & Vacha, Lukas, 2018. "Do co-jumps impact correlations in currency markets?," Journal of Financial Markets, Elsevier, vol. 37(C), pages 97-119.
    22. Gongyue Jiang & Gaoxiu Qiao & Lu Wang & Feng Ma, 2024. "Hybrid forecasting of crude oil volatility index: The cross‐market effects of stock market jumps," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 2378-2398, September.
    23. Worapree Maneesoonthorn & Gael M. Martin & Catherine S. Forbes, 2017. "High-Frequency Jump Tests: Which Test Should We Use?," Papers 1708.09520, arXiv.org, revised Jan 2020.
    24. Dungey, Mardi & Hvozdyk, Lyudmyla, 2010. "Cojumping: Evidence from the US Treasury Bond and Future Markets (Discussion Paper 2010-06)," Working Papers 10450, University of Tasmania, Tasmanian School of Business and Economics, revised 14 Jul 2010.
    25. Dion Bongaerts & Richard Roll & Dominik Rösch & Mathijs van Dijk & Darya Yuferova, 2022. "How Do Shocks Arise and Spread Across Stock Markets? A Microstructure Perspective," Management Science, INFORMS, vol. 68(4), pages 3071-3089, April.
    26. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2011. "Financial Risk Measurement for Financial Risk Management," PIER Working Paper Archive 11-037, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    27. Chan, Kam Fong & Powell, John G. & Treepongkaruna, Sirimon, 2014. "Currency jumps and crises: Do developed and emerging market currencies jump together?," Pacific-Basin Finance Journal, Elsevier, vol. 30(C), pages 132-157.
    28. Cui, Xin & Sensoy, Ahmet & Nguyen, Duc Khuong & Yao, Shouyu & Wu, Yiyao, 2022. "Positive information shocks, investor behavior and stock price crash risk," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 493-518.
    29. El Ouadghiri, Imane & Uctum, Remzi, 2016. "Jumps in equilibrium prices and asymmetric news in foreign exchange markets," Economic Modelling, Elsevier, vol. 54(C), pages 218-234.
    30. Li, Xiafei & Liao, Yin & Lu, Xinjie & Ma, Feng, 2022. "An oil futures volatility forecast perspective on the selection of high-frequency jump tests," Energy Economics, Elsevier, vol. 116(C).
    31. Fleming, Jeff & Paye, Bradley S., 2011. "High-frequency returns, jumps and the mixture of normals hypothesis," Journal of Econometrics, Elsevier, vol. 160(1), pages 119-128, January.
    32. Liao, Yin & Pan, Zheyao, 2022. "Extreme risk connectedness among global major financial institutions: Links to globalization and emerging market fear," Pacific-Basin Finance Journal, Elsevier, vol. 76(C).
    33. XinWei Feng & Yu Jiang & Zhi Liu & Zhe Meng, 2025. "On the Realized Joint Laplace Transform of Volatilities with Application to Test the Volatility Dependence," Papers 2503.02283, arXiv.org.
    34. Hurvich, Cliiford & Wang, Yi, 2006. "A Pure-Jump Transaction-Level Price Model Yielding Cointegration, Leverage, and Nonsynchronous Trading Effects," MPRA Paper 1413, University Library of Munich, Germany.
    35. F. Lilla, 2016. "High Frequency vs. Daily Resolution: the Economic Value of Forecasting Volatility Models," Working Papers wp1084, Dipartimento Scienze Economiche, Universita' di Bologna.
    36. Timo Dimitriadis & Roxana Halbleib & Jeannine Polivka & Jasper Rennspies & Sina Streicher & Axel Friedrich Wolter, 2022. "Efficient Sampling for Realized Variance Estimation in Time-Changed Diffusion Models," Papers 2212.11833, arXiv.org, revised Oct 2025.
    37. Aitor Ciarreta & Peru Muniain & Ainhoa Zarraga, 2020. "Realized volatility and jump testing in the Japanese electricity spot market," Empirical Economics, Springer, vol. 58(3), pages 1143-1166, March.
    38. Andersen, Torben G. & Bollerslev, Tim & Huang, Xin, 2011. "A reduced form framework for modeling volatility of speculative prices based on realized variation measures," Journal of Econometrics, Elsevier, vol. 160(1), pages 176-189, January.
    39. Sébastien Laurent & Jeroen V. K. Rombouts & Francesco Violante, 2012. "On the forecasting accuracy of multivariate GARCH models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(6), pages 934-955, September.
    40. Liu, Yi & Liu, Huifang & Zhang, Lei, 2019. "Modeling and forecasting return jumps using realized variation measures," Economic Modelling, Elsevier, vol. 76(C), pages 63-80.
    41. Wang, Kent & Liu, Junwei & Liu, Zhi, 2013. "Disentangling the effect of jumps on systematic risk using a new estimator of integrated co-volatility," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1777-1786.
    42. Bollerslev, Tim & Todorov, Viktor & Li, Sophia Zhengzi, 2013. "Jump tails, extreme dependencies, and the distribution of stock returns," Journal of Econometrics, Elsevier, vol. 172(2), pages 307-324.
    43. Lai, Yu-Sheng, 2025. "Trading-hour and nontrading-hour volatility in crude oil and U.S. dollar markets and its implications for portfolio optimization," Journal of Commodity Markets, Elsevier, vol. 38(C).
    44. Torben G. Andersen & Viktor Todorov, 2009. "Realized Volatility and Multipower Variation," CREATES Research Papers 2009-49, Department of Economics and Business Economics, Aarhus University.
    45. Xinwei Feng & Lidan He & Zhi Liu, 2022. "Large Deviation Principles of Realized Laplace Transform of Volatility," Journal of Theoretical Probability, Springer, vol. 35(1), pages 186-208, March.
    46. Gongyue Jiang & Gaoxiu Qiao & Feng Ma & Lu Wang, 2022. "Directly pricing VIX futures with observable dynamic jumps based on high‐frequency VIX," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(8), pages 1518-1548, August.
    47. Dario Alitab & Giacomo Bormetti & Fulvio Corsi & Adam A. Majewski, 2019. "A realized volatility approach to option pricing with continuous and jump variance components," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 42(2), pages 639-664, December.
    48. Benoît Sévi & César Baena, 2011. "Brownian motion vs. pure-jump processes for individual stocks," Economics Bulletin, AccessEcon, vol. 31(4), pages 3138-3152.
    49. Degiannakis, Stavros & Filis, George, 2016. "Forecasting oil price realized volatility: A new approach," MPRA Paper 69105, University Library of Munich, Germany.
    50. Song, Shijia & Li, Handong, 2023. "Is a co-jump in prices a sparse jump?," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    51. Maderitsch, R., 2015. "Information transmission between stock markets in Hong Kong, Europe and the US: New evidence on time- and state-dependence," Pacific-Basin Finance Journal, Elsevier, vol. 35(PA), pages 13-36.
    52. Ahmad, Khurshid & Han, JingGuang & Hutson, Elaine & Kearney, Colm & Liu, Sha, 2016. "Media-expressed negative tone and firm-level stock returns," Journal of Corporate Finance, Elsevier, vol. 37(C), pages 152-172.
    53. Yu‐Sheng Lai, 2022. "High‐frequency data and stock–bond investing," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1623-1638, December.
    54. Chorro, Christophe & Ielpo, Florian & Sévi, Benoît, 2020. "The contribution of intraday jumps to forecasting the density of returns," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    55. Dungey, Mardi & Hvozdyk, Lyudmyla, 2012. "Cojumping: Evidence from the US Treasury bond and futures markets," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1563-1575.
    56. F. Lilla, 2017. "High Frequency vs. Daily Resolution: the Economic Value of Forecasting Volatility Models - 2nd ed," Working Papers wp1099, Dipartimento Scienze Economiche, Universita' di Bologna.
    57. Qiao, Gaoxiu & Ma, Xuekun & Jiang, Gongyue & Wang, Lu, 2024. "Crude oil volatility index forecasting: New evidence based on positive and negative jumps from Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 415-437.
    58. Fang, Yan & Ielpo, Florian & Sévi, Benoît, 2012. "Empirical bias in intraday volatility measures," Finance Research Letters, Elsevier, vol. 9(4), pages 231-237.
    59. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2017. "The contribution of jumps to forecasting the density of returns," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01442618, HAL.
    60. Wanidwaranan, Phasin & Padungsaksawasdi, Chaiyuth, 2020. "The effect of return jumps on herd behavior," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    61. Rituparna Sen & Pulkit Mehrotra, 2016. "Modeling Jumps and Volatility of the Indian Stock Market Using High-Frequency Data," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(1), pages 137-150, June.
    62. Nkwoma, Inekwe John, 2017. "Futures-Based Measures Of Monetary Policy And Jump Risk," Macroeconomic Dynamics, Cambridge University Press, vol. 21(2), pages 384-405, March.
    63. Gaoxiu Qiao & Wanmei Cui & Yijie Zhou & Chao Liang, 2025. "Volatility of Volatility and VIX Forecasting: New Evidence Based on Jumps, the Short‐Term and Long‐Term Volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(1), pages 23-46, January.
    64. Chan, Kam Fong & Gray, Philip & van Campen, Bart, 2008. "A new approach to characterizing and forecasting electricity price volatility," International Journal of Forecasting, Elsevier, vol. 24(4), pages 728-743.
    65. Fengler, Matthias R. & Gisler, Katja I.M., 2015. "A variance spillover analysis without covariances: What do we miss?," Journal of International Money and Finance, Elsevier, vol. 51(C), pages 174-195.
    66. Pattanaporn Chatjuthamard & Pavitra Jindahra & Pattarake Sarajoti & Sirimon Treepongkaruna, 2021. "The effect of COVID‐19 on the global stock market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4923-4953, September.
    67. Laurent, Sébastien & Lecourt, Christelle & Palm, Franz C., 2016. "Testing for jumps in conditionally Gaussian ARMA–GARCH models, a robust approach," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 383-400.
    68. M. Fr Mmel & X. Han & F. Van Gysegem, 2013. "News, Liquidity Dynamics and Intraday Jumps: Evidence from the HUF/EUR market," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 13/848, Ghent University, Faculty of Economics and Business Administration.
    69. Kuck, Konstantin & Maderitsch, Robert, 2019. "Intra-day dynamics of exchange rates: New evidence from quantile regression," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 247-257.
    70. Evans, Kevin P., 2011. "Intraday jumps and US macroeconomic news announcements," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2511-2527, October.
    71. Julien Chevallier & Benoît Sévi, 2011. "On the volatility-volume relationship in energy futures markets using intraday data," Working Papers hal-04140997, HAL.
    72. Aida Karmous & Heni Boubaker & Lotfi Belkacem, 2021. "Forecasting Volatility for an Optimal Portfolio with Stylized Facts Using Copulas," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 461-482, August.
    73. Olusanya E. Olubusoye & OlaOluwa S. Yaya, 2016. "Time series analysis of volatility in the petroleum pricing markets: the persistence, asymmetry and jumps in the returns series," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 40(3), pages 235-262, September.
    74. Clements, Adam & Liao, Yin, 2017. "Forecasting the variance of stock index returns using jumps and cojumps," International Journal of Forecasting, Elsevier, vol. 33(3), pages 729-742.
    75. Vortelinos, Dimitrios I. & Lakshmi, Geeta, 2015. "Market risk of BRIC Eurobonds in the financial crisis period," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 295-310.
    76. Siem Jan Koopman & Marcel Scharth, 2011. "The Analysis of Stochastic Volatility in the Presence of Daily Realised Measures," Tinbergen Institute Discussion Papers 11-132/4, Tinbergen Institute.
    77. Jiang, George J. & Zhu, Kevin X., 2017. "Information Shocks and Short-Term Market Underreaction," Journal of Financial Economics, Elsevier, vol. 124(1), pages 43-64.
    78. Zhi Liu, 2017. "Jump-robust estimation of volatility with simultaneous presence of microstructure noise and multiple observations," Finance and Stochastics, Springer, vol. 21(2), pages 427-469, April.
    79. Hautsch, Nikolaus & Kyj, Lada M. & Hautsch, Nikolaus, 2009. "A blocking and regularization approach to high dimensional realized covariance estimation," CFS Working Paper Series 2009/20, Center for Financial Studies (CFS).
    80. Audrino, Francesco & Hu, Yujia, 2011. "Volatility Forecasting: Downside Risk, Jumps and Leverage Effect," Economics Working Paper Series 1138, University of St. Gallen, School of Economics and Political Science.
    81. BAUWENS, Luc & STORTI, Giuseppe & VIOLANTE, Francesco, 2012. "Dynamic conditional correlation models for realized covariance matrices," LIDAM Discussion Papers CORE 2012060, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    82. Johannes Stübinger & Sylvia Endres, 2018. "Pairs trading with a mean-reverting jump–diffusion model on high-frequency data," Quantitative Finance, Taylor & Francis Journals, vol. 18(10), pages 1735-1751, October.
    83. Li, Shaoyu & Zheng, Tingguo, 2017. "Modeling spot rate using a realized stochastic volatility model with level effect and dynamic drift☆," The North American Journal of Economics and Finance, Elsevier, vol. 40(C), pages 200-221.
    84. Jung, R.C. & Maderitsch, R., 2014. "Structural breaks in volatility spillovers between international financial markets: Contagion or mere interdependence?," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 331-342.
    85. Vortelinos, Dimitrios I., 2010. "The properties of realized correlation: Evidence from the French, German and Greek equity markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(3), pages 273-290, August.
    86. Worapree Maneesoonthorn & Gael M Martin & Catherine S Forbes, 2018. "Dynamic price jumps: The performance of high frequency tests and measures, and the robustness of inference," Monash Econometrics and Business Statistics Working Papers 17/18, Monash University, Department of Econometrics and Business Statistics.
    87. Karmous, Aida & Boubaker, Heni & Belkacem, Lotfi, 2019. "A dynamic factor model with stylized facts to forecast volatility for an optimal portfolio," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    88. Jan Novotn?? & Jan Hanousek & Ev??en Ko??enda, 2013. "Price Jump Indicators: Stock Market Empirics During the Crisis," William Davidson Institute Working Papers Series wp1050, William Davidson Institute at the University of Michigan.
    89. Qian, Lihua & Wang, Jiqian & Ma, Feng & Li, Ziyang, 2022. "Bitcoin volatility predictability–The role of jumps and regimes," Finance Research Letters, Elsevier, vol. 47(PB).
    90. Sergii Pypko, 2015. "Volatility Forecast in Crises and Expansions," JRFM, MDPI, vol. 8(3), pages 1-26, August.
    91. Tetsuya Takaishi, 2014. "Analysis of Spin Financial Market by GARCH Model," Papers 1409.0118, arXiv.org.
    92. Chatrath, Arjun & Miao, Hong & Ramchander, Sanjay & Villupuram, Sriram, 2014. "Currency jumps, cojumps and the role of macro news," Journal of International Money and Finance, Elsevier, vol. 40(C), pages 42-62.
    93. Vít Bubák & Filip Žikeš, 2009. "Distribution and Dynamics of Central-European Exchange Rates: Evidence from Intraday Data," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 59(4), pages 334-359, Oktober.
    94. Simone Serafini & Giacomo Bormetti, 2025. "Pricing Carbon Allowance Options on Futures: Insights from High-Frequency Data," Papers 2501.17490, arXiv.org, revised May 2025.
    95. Chin, Chang-Chiang & Paphakin, Warinthorn, 2021. "The daily relationship between U.S. asset prices and stock prices of American countries," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    96. Yingjie Dong & Yiu-Kuen Tse, 2017. "Business Time Sampling Scheme with Applications to Testing Semi-Martingale Hypothesis and Estimating Integrated Volatility," Econometrics, MDPI, vol. 5(4), pages 1-19, November.
    97. Tauchen, George & Zhou, Hao, 2011. "Realized jumps on financial markets and predicting credit spreads," Journal of Econometrics, Elsevier, vol. 160(1), pages 102-118, January.
    98. Cui, Jing & Zhao, Hua, 2015. "Intraday jumps in China's Treasury bond market and macro news announcements," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 211-223.
    99. Worapree Maneesoonthorn & Gael M. Martin & Catherine S. Forbes, 2017. "Dynamic asset price jumps and the performance of high frequency tests and measures," Monash Econometrics and Business Statistics Working Papers 14/17, Monash University, Department of Econometrics and Business Statistics.
    100. Carroll, Rachael & Kearney, Colm, 2015. "Testing the mixture of distributions hypothesis on target stocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 1-14.
    101. Shaliastovich, Ivan & Tauchen, George, 2011. "Pricing of the time-change risks," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 843-858, June.
    102. Weijia Peng & Chun Yao, 2022. "Co-Jumps, Co-Jump Tests, and Volatility Forecasting: Monte Carlo and Empirical Evidence," JRFM, MDPI, vol. 15(8), pages 1-21, July.
    103. Liu, Zhi & Kong, Xin-Bing & Jing, Bing-Yi, 2018. "Estimating the integrated volatility using high-frequency data with zero durations," Journal of Econometrics, Elsevier, vol. 204(1), pages 18-32.
    104. Minxian Yang, 2014. "The Risk Return Relationship: Evidence from Index Return and Realised Variance Series," Discussion Papers 2014-16, School of Economics, The University of New South Wales.
    105. Chin Wen CHEONG & Lee Min CHERNG & Grace Lee Ching YAP, 2016. "Heterogeneous Market Hypothesis Evaluations using Various Jump-Robust Realized Volatility," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 50-64, December.
    106. Chowdhury, Biplob & Jeyasreedharan, Nagaratnam, 2019. "An empirical examination of the jump and diffusion aspects of asset pricing: Japanese evidence," Working Papers 2019-02, University of Tasmania, Tasmanian School of Business and Economics.
    107. Gong, Xiao-Li & Liu, Jian-Min & Xiong, Xiong & Zhang, Wei, 2022. "Research on stock volatility risk and investor sentiment contagion from the perspective of multi-layer dynamic network," International Review of Financial Analysis, Elsevier, vol. 84(C).
    108. Lucio Maria Calcagnile & Giacomo Bormetti & Michele Treccani & Stefano Marmi & Fabrizio Lillo, 2015. "Collective synchronization and high frequency systemic instabilities in financial markets," Papers 1505.00704, arXiv.org.
    109. Chen, Yixiang & Ma, Feng & Zhang, Yaojie, 2019. "Good, bad cojumps and volatility forecasting: New evidence from crude oil and the U.S. stock markets," Energy Economics, Elsevier, vol. 81(C), pages 52-62.
    110. Ahmed A. A. Khalifa & Hong Miao & Sanjay Ramchander, 2011. "Return distributions and volatility forecasting in metal futures markets: Evidence from gold, silver, and copper," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(1), pages 55-80, January.
    111. Yang, Minxian, 2019. "The risk return relationship: Evidence from index returns and realised variances," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.

  51. Thomas Busch & Bent Jesper Christensen & Morten Ørregaard Nielsen, 2007. "The Role of Implied Volatility in Forecasting Future Realized Volatility and Jumps in Foreign Exchange, Stock, and Bond Markets," CREATES Research Papers 2007-09, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Viktor Todorov & Yang Zhang, 2022. "Information gains from using short‐dated options for measuring and forecasting volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 368-391, March.
    2. Anupam Dutta, 2025. "Assessing the Risk of Bitcoin Futures Market: New Evidence," Annals of Data Science, Springer, vol. 12(2), pages 481-497, April.
    3. Özbekler, Ali Gencay & Kontonikas, Alexandros & Triantafyllou, Athanasios, 2021. "Volatility forecasting in European government bond markets," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1691-1709.
    4. Degiannakis, Stavros & Filis, George, 2017. "Forecasting oil price realized volatility using information channels from other asset classes," MPRA Paper 96276, University Library of Munich, Germany.
    5. Hui Qu & Tianyang Wang & Peng Shangguan & Mengying He, 2024. "Revisiting the puzzle of jumps in volatility forecasting: The new insights of high‐frequency jump intensity," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(2), pages 218-251, February.
    6. Byun, Suk Joon & Kim, Jun Sik, 2013. "The information content of risk-neutral skewness for volatility forecasting," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 142-161.
    7. Caporin, Massimiliano & Kolokolov, Alexey & Renò, Roberto, 2016. "Systemic co-jumps," SAFE Working Paper Series 149, Leibniz Institute for Financial Research SAFE.
    8. Annalisa Molino & Carlo Sala, 2021. "Forecasting value at risk and conditional value at risk using option market data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1190-1213, November.
    9. Dammak, Wael & Frikha, Wajdi & Souissi, Mohamed Naceur, 2024. "Market turbulence and investor decision-making in currency option market," The Journal of Economic Asymmetries, Elsevier, vol. 30(C).
    10. Kim Christensen & Mathias Siggaard & Bezirgen Veliyev, 2021. "A machine learning approach to volatility forecasting," CREATES Research Papers 2021-03, Department of Economics and Business Economics, Aarhus University.
    11. Alekseev, Oleg & Janda, Karel & Petit, Mathieu & Zilberman, David, 2024. "Return and volatility spillovers between the raw material and electric vehicles markets," Energy Economics, Elsevier, vol. 137(C).
    12. Dunis, Christian & Kellard, Neil M. & Snaith, Stuart, 2013. "Forecasting EUR–USD implied volatility: The case of intraday data," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4943-4957.
    13. Ruijun Bu & Rodrigo Hizmeri & Marwan Izzeldin & Anthony Murphy & Mike G. Tsionas, 2019. "The Contribution of Jump Signs and Activity to Forecasting Stock Price Volatility," Working Papers 1902, Federal Reserve Bank of Dallas, revised 17 Dec 2022.
    14. Pan, Ging-Ginq & Shiu, Yung-Ming & Wu, Tu-Cheng, 2024. "Extrapolation and option-implied kurtosis in volatility forecasting," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
    15. Yin-Wong Cheung & Wenhao Wang & Frank Westermann, 2025. "An In-Sample Evaluation of Exchange Rate Models: In Search of Scapegoats," CESifo Working Paper Series 11852, CESifo.
    16. Corsi, Fulvio & Fusari, Nicola & La Vecchia, Davide, 2013. "Realizing smiles: Options pricing with realized volatility," Journal of Financial Economics, Elsevier, vol. 107(2), pages 284-304.
    17. Lai T. Hoang & Dirk G. Baur, 2020. "Forecasting bitcoin volatility: Evidence from the options market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(10), pages 1584-1602, October.
    18. Zhou, Mingtao & Ma, Yong, 2025. "Climate risk and predictability of global stock market volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 101(C).
    19. Dean Fantazzini & Tamara Shangina, 2019. "The importance of being informed: forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 5-31.
    20. Michael Funke & Julius Loermann & Richhild Moessner, 2017. "The discontinuation of the EUR/CHF minimum exchange rate in January 2015: was it expected?," BIS Working Papers 652, Bank for International Settlements.
    21. Zhang, Yaojie & He, Mengxi & Wang, Yudong & Wen, Danyan, 2025. "Model specification for volatility forecasting benchmark," International Review of Financial Analysis, Elsevier, vol. 97(C).
    22. Duan, Yinying & Chen, Wang & Zeng, Qing & Liu, Zhicao, 2018. "Leverage effect, economic policy uncertainty and realized volatility with regime switching," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 148-154.
    23. Matias Quiroz & Laleh Tafakori & Hans Manner, 2024. "Forecasting realized covariances using HAR-type models," Papers 2412.10791, arXiv.org.
    24. Robinson Kruse & Christian Leschinski & Michael Will, 2016. "Comparing Predictive Accuracy under Long Memory - With an Application to Volatility Forecasting," CREATES Research Papers 2016-17, Department of Economics and Business Economics, Aarhus University.
    25. Martin, Vance L. & Tang, Chrismin & Yao, Wenying, 2021. "Forecasting the volatility of asset returns: The informational gains from option prices," International Journal of Forecasting, Elsevier, vol. 37(2), pages 862-880.
    26. Peter Christoffersen & Bruno Feunou & Yoontae Jeon, 2014. "Option Valuation with Observable Volatility and Jump Dynamics," CREATES Research Papers 2015-07, Department of Economics and Business Economics, Aarhus University.
    27. Peter Christoffersen & Xuhui (Nick) Pan, 2014. "Equity Portfolio Management Using Option Price Information," CREATES Research Papers 2015-05, Department of Economics and Business Economics, Aarhus University.
    28. Basistha, Arabinda & Kurov, Alexander & Wolfe, Marketa Halova, 2019. "Volatility Forecasting: The Role of Internet Search Activity and Implied Volatility," MPRA Paper 111037, University Library of Munich, Germany.
    29. Lu, Xinjie & Ma, Feng & Wang, Jianqiong & Dong, Dayong, 2022. "Singlehanded or joint race? Stock market volatility prediction," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 734-754.
    30. Dufour, Jean-Marie & García, René & Taamouti, Abderrahim, 2008. "Measuring causality between volatility and returns with high-frequency data," UC3M Working papers. Economics we084422, Universidad Carlos III de Madrid. Departamento de Economía.
    31. Eleftheria Kafousaki & Stavros Degiannakis, 2023. "Forecasting VIX: the illusion of forecast evaluation criteria," Economics and Business Letters, Oviedo University Press, vol. 12(3), pages 231-240.
    32. Bégin, Jean-François & Sanders, Barbara, 2024. "Benefit volatility-targeting strategies in lifetime pension pools," Insurance: Mathematics and Economics, Elsevier, vol. 118(C), pages 72-94.
    33. Dahmene, Meriam & Boughrara, Adel & Slim, Skander, 2021. "Nonlinearity in stock returns: Do risk aversion, investor sentiment and, monetary policy shocks matter?," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 676-699.
    34. Arısoy, Yakup Eser & Altay-Salih, Aslıhan & Akdeniz, Levent, 2015. "Aggregate volatility expectations and threshold CAPM," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 231-253.
    35. Luo, Xingguo & Ye, Zinan, 2015. "Predicting volatility of the Shanghai silver futures market: What is the role of the U.S. options market?," Finance Research Letters, Elsevier, vol. 15(C), pages 68-77.
    36. Bo-Young Chang & Peter Christoffersen & Kris Jacobs & Gregory Vainberg, 2009. "Option-Implied Measures of Equity Risk," CIRANO Working Papers 2009s-33, CIRANO.
    37. Psaradellis, Ioannis & Sermpinis, Georgios, 2016. "Modelling and trading the U.S. implied volatility indices. Evidence from the VIX, VXN and VXD indices," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1268-1283.
    38. Eric Jacquier & Cedric Okou, 2013. "Disentangling Continuous Volatility from Jumps in Long-Run Risk-Return Relationships," CIRANO Working Papers 2013s-14, CIRANO.
    39. Keith Pilbeam & Kjell Langeland, 2015. "Forecasting exchange rate volatility: GARCH models versus implied volatility forecasts," International Economics and Economic Policy, Springer, vol. 12(1), pages 127-142, March.
    40. Worapree Maneesoonthorn & Gael M. Martin & Catherine S. Forbes, 2017. "High-Frequency Jump Tests: Which Test Should We Use?," Papers 1708.09520, arXiv.org, revised Jan 2020.
    41. Borochin, Paul & Zhao, Yanhui, 2025. "The economic value of equity implied volatility forecasting with machine learning," Journal of Empirical Finance, Elsevier, vol. 82(C).
    42. Fang, Tong & Lee, Tae-Hwy & Su, Zhi, 2020. "Predicting the long-term stock market volatility: A GARCH-MIDAS model with variable selection," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 36-49.
    43. Yang, Heejin & Kutan, Ali M. & Ryu, Doojin, 2019. "Volatility information trading in the index options market: An intraday analysis," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 412-426.
    44. Dutta, Anupam & Sihvonen, Jukka & Park, Donghyun & Lucey, Brian & Uddin, Gazi Salah, 2025. "Impact of news and social media sentiments on rare earth investments," Resources Policy, Elsevier, vol. 107(C).
    45. Santos, Douglas G. & Candido, Osvaldo & Tófoli, Paula V., 2022. "Forecasting risk measures using intraday and overnight information," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    46. Peter Christoffersen & Xuhui (Nick) Pan, 2014. "Oil Volatility Risk and Expected Stock Returns," CREATES Research Papers 2015-06, Department of Economics and Business Economics, Aarhus University.
    47. Minh Vo, 2025. "Measuring and Forecasting Stock Market Volatilities with High-Frequency Data," Computational Economics, Springer;Society for Computational Economics, vol. 65(6), pages 3503-3544, June.
    48. Chan, Kam Fong & Powell, John G. & Treepongkaruna, Sirimon, 2014. "Currency jumps and crises: Do developed and emerging market currencies jump together?," Pacific-Basin Finance Journal, Elsevier, vol. 30(C), pages 132-157.
    49. Li, Dan & Drovandi, Christopher & Clements, Adam, 2024. "Outlier-robust methods for forecasting realized covariance matrices," International Journal of Forecasting, Elsevier, vol. 40(1), pages 392-408.
    50. Wang Pu & Yixiang Chen & Feng Ma, 2016. "Forecasting the realized volatility in the Chinese stock market: further evidence," Applied Economics, Taylor & Francis Journals, vol. 48(33), pages 3116-3130, July.
    51. Bevilacqua, Mattia & Tunaru, Radu & Vioto, Davide, 2023. "Options-based systemic risk, financial distress, and macroeconomic downturns," LSE Research Online Documents on Economics 119289, London School of Economics and Political Science, LSE Library.
    52. Degiannakis, Stavros & Filis, George & Hassani, Hossein, 2015. "Forecasting implied volatility indices worldwide: A new approach," MPRA Paper 72084, University Library of Munich, Germany.
    53. Chatziantoniou, Ioannis & Degiannakis, Stavros & Filis, George, 2019. "Futures-based forecasts: How useful are they for oil price volatility forecasting?," Energy Economics, Elsevier, vol. 81(C), pages 639-649.
    54. Maneesoonthorn, Worapree & Martin, Gael M. & Forbes, Catherine S. & Grose, Simone D., 2012. "Probabilistic forecasts of volatility and its risk premia," Journal of Econometrics, Elsevier, vol. 171(2), pages 217-236.
    55. Žikeš, Filip & Baruník, Jozef, 2014. "Semiparametric Conditional Quantile Models for Financial Returns and Realized Volatility," FinMaP-Working Papers 20, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    56. Li, Xiafei & Liao, Yin & Lu, Xinjie & Ma, Feng, 2022. "An oil futures volatility forecast perspective on the selection of high-frequency jump tests," Energy Economics, Elsevier, vol. 116(C).
    57. Oleg Sokolinskiy & Dick van Dijk, 2011. "Forecasting Volatility with Copula-Based Time Series Models," Tinbergen Institute Discussion Papers 11-125/4, Tinbergen Institute.
    58. Pérez-Rodríguez, Jorge V. & Andrada-Félix, Julián & Rachinger, Heiko, 2021. "Testing the forward volatility unbiasedness hypothesis in exchange rates under long-range dependence," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    59. Caporin, Massimiliano & Velo, Gabriel G., 2015. "Realized range volatility forecasting: Dynamic features and predictive variables," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 98-112.
    60. Christensen, Bent Jesper & Varneskov, Rasmus Tangsgaard, 2017. "Medium band least squares estimation of fractional cointegration in the presence of low-frequency contamination," Journal of Econometrics, Elsevier, vol. 197(2), pages 218-244.
    61. Sapkota, Niranjan, 2022. "News-based sentiment and bitcoin volatility," International Review of Financial Analysis, Elsevier, vol. 82(C).
    62. Qu, Hui & Wang, Tianyang & Zhang, Yi & Sun, Pengfei, 2019. "Dynamic hedging using the realized minimum-variance hedge ratio approach – Examination of the CSI 300 index futures," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    63. Chen, Rongda & Zhou, Hanxian & Yu, Lean & Jin, Chenglu & Zhang, Shuonan, 2021. "An efficient method for pricing foreign currency options," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    64. Simard Clarence & Rémillard Bruno, 2015. "Forecasting time series with multivariate copulas," Dependence Modeling, De Gruyter, vol. 3(1), pages 1-24, May.
    65. Petar Sabtchevsky & Paul Whelan & Andrea Vedolin & Philippe Mueller, 2017. "Variance Risk Premia on Stocks and Bonds," 2017 Meeting Papers 1161, Society for Economic Dynamics.
    66. Neda Todorova & Michael Soucek & Eduardo Roca, 2015. "Volatility spillovers from international commodity markets to the Australian equity market," Discussion Papers in Finance finance:201505, Griffith University, Department of Accounting, Finance and Economics.
    67. Shafiullah, Muhammad & Senthilkumar, Arunachalam & Lucey, Brian M. & Naeem, Muhammad Abubakr, 2024. "Deciphering asymmetric spillovers in US industries: Insights from higher-order moments," Research in International Business and Finance, Elsevier, vol. 70(PA).
    68. Liu, Yi & Liu, Huifang & Zhang, Lei, 2019. "Modeling and forecasting return jumps using realized variation measures," Economic Modelling, Elsevier, vol. 76(C), pages 63-80.
    69. Souček, Michael & Todorova, Neda, 2013. "Realized volatility transmission between crude oil and equity futures markets: A multivariate HAR approach," Energy Economics, Elsevier, vol. 40(C), pages 586-597.
    70. Guo, Hui & Qiu, Buhui, 2014. "Options-implied variance and future stock returns," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 93-113.
    71. Zhang, Yaojie & Wahab, M.I.M. & Wang, Yudong, 2023. "Forecasting crude oil market volatility using variable selection and common factor," International Journal of Forecasting, Elsevier, vol. 39(1), pages 486-502.
    72. Jungmu Kim & Yuen Jung Park, 2020. "Predictability of OTC Option Volatility for Future Stock Volatility," Sustainability, MDPI, vol. 12(12), pages 1-23, June.
    73. Pham, Son Duy & Nguyen, Thao Thac Thanh & Li, Xiao-Ming, 2024. "Stabilizing global foreign exchange markets in the time of COVID-19: The role of vaccinations," Global Finance Journal, Elsevier, vol. 59(C).
    74. Delis, Panagiotis & Degiannakis, Stavros & Filis, George, 2025. "Navigating crude oil volatility forecasts: Assessing the contribution of geopolitical risk," Energy Economics, Elsevier, vol. 148(C).
    75. Yun, Jaeho, 2020. "Variance risk premium in a small open economy with volatile capital flows: The case of Korea," International Review of Economics & Finance, Elsevier, vol. 65(C), pages 105-125.
    76. Hwang, Eunju & Shin, Dong Wan, 2014. "Infinite-order, long-memory heterogeneous autoregressive models," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 339-358.
    77. Lyócsa, Štefan & Plíhal, Tomáš & Výrost, Tomáš, 2021. "FX market volatility modelling: Can we use low-frequency data?," Finance Research Letters, Elsevier, vol. 40(C).
    78. Zhiyuan Pan & Jun Zhang & Yudong Wang & Juan Huang, 2024. "Modeling and forecasting stock return volatility using the HARGARCH model with VIX information," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(8), pages 1383-1403, August.
    79. Omura, Akihiro & Li, Bin & Chung, Richard & Todorova, Neda, 2018. "Convenience yield, realised volatility and jumps: Evidence from non-ferrous metals," Economic Modelling, Elsevier, vol. 70(C), pages 496-510.
    80. Kim, Alisa & Trimborn, Simon & Härdle, Wolfgang Karl, 2021. "VCRIX — A volatility index for crypto-currencies," International Review of Financial Analysis, Elsevier, vol. 78(C).
    81. Wei Zhang & Kai Yan & Dehua Shen, 2021. "Can the Baidu Index predict realized volatility in the Chinese stock market?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-31, December.
    82. Matias Quiroz & Laleh Tafakori & Hans Manner, 2024. "Forecasting Realized Covariances Using HAR-Type Models," Graz Economics Papers 2024-20, University of Graz, Department of Economics.
    83. Ballestra, Luca Vincenzo & Guizzardi, Andrea & Palladini, Fabio, 2019. "Forecasting and trading on the VIX futures market: A neural network approach based on open to close returns and coincident indicators," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1250-1262.
    84. Schlag, Christian & Thimme, Julian & Weber, Rüdiger, 2020. "Implied Volatility Duration: A measure for the timing of uncertainty resolution," SAFE Working Paper Series 265, Leibniz Institute for Financial Research SAFE.
    85. Kempf, Alexander & Korn, Olaf & Saßning, Sven, 2011. "Portfolio optimization using forward-looking information," CFR Working Papers 11-10, University of Cologne, Centre for Financial Research (CFR).
    86. Thobekile Qabhobho, 2023. "Assessing the Asymmetric Effect of Local Realized Exchange Rate Volatility and Implied Volatilities in Energy Market on Exchange Rate Returns in BRICS," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 231-239, March.
    87. Gael M. Martin & Andrew Reidy & Jill Wright, 2009. "Does the option market produce superior forecasts of noise-corrected volatility measures?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(1), pages 77-104.
    88. Degiannakis, Stavros & Filis, George & Hassani, Hossein, 2018. "Forecasting global stock market implied volatility indices," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 111-129.
    89. Degiannakis, Stavros & Filis, George, 2016. "Forecasting oil price realized volatility: A new approach," MPRA Paper 69105, University Library of Munich, Germany.
    90. Rui Fan & Stephen J. Taylor & Matteo Sandri, 2018. "Density forecast comparisons for stock prices, obtained from high‐frequency returns and daily option prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(1), pages 83-103, January.
    91. Jorge V. Pérez-Rodríguez, 2020. "Another look at the implied and realised volatility relation: a copula-based approach," Risk Management, Palgrave Macmillan, vol. 22(1), pages 38-64, March.
    92. S. Muzzioli, 2010. "Option-based forecasts of volatility: an empirical study in the DAX-index options market," The European Journal of Finance, Taylor & Francis Journals, vol. 16(6), pages 561-586.
    93. Peter Christoffersen & Kris Jacobs & Bo Young Chang, 2011. "Forecasting with Option Implied Information," CREATES Research Papers 2011-46, Department of Economics and Business Economics, Aarhus University.
    94. Kuo-Hao Lee & Ahmed Elkassabgi & Wei-Jen Hsieh, 2014. "Volatility of the Utilities Industry: Its Causal Relationship to Other Nine Industries," Review of Economics & Finance, Better Advances Press, Canada, vol. 4, pages 15-22, May.
    95. Ji‐Eun Choi & Dong Wan Shin, 2018. "Forecasts for leverage heterogeneous autoregressive models with jumps and other covariates," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(6), pages 691-704, September.
    96. Ma, Feng & Wahab, M.I.M. & Zhang, Yaojie, 2019. "Forecasting the U.S. stock volatility: An aligned jump index from G7 stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 132-146.
    97. Pan, Ging-Ginq & Shiu, Yung-Ming & Wu, Tu-Cheng, 2022. "Can risk-neutral skewness and kurtosis subsume the information content of historical jumps?," Journal of Financial Markets, Elsevier, vol. 57(C).
    98. Rainer Baule & Olaf Korn & Sven Saßning, 2016. "Which Beta Is Best? On the Information Content of Option†implied Betas," European Financial Management, European Financial Management Association, vol. 22(3), pages 450-483, June.
    99. Kempf, Alexander & Korn, Olaf & Saßning, Sven, 2014. "Portfolio optimization using forward-looking information," CFR Working Papers 11-10 [rev.], University of Cologne, Centre for Financial Research (CFR).
    100. Peters, R. & van der Weide, R., 2012. "Volatility: Expectations and Realizations," CeNDEF Working Papers 12-04, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    101. Richard T. Baillie & Fabio Calonaci & Dooyeon Cho & Seunghwa Rho, 2019. "Long Memory, Realized Volatility and HAR Models," Working Papers 881, Queen Mary University of London, School of Economics and Finance.
    102. Qi Xu & Ying Wang, 2021. "Managing volatility in commodity momentum," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(5), pages 758-782, May.
    103. Chuxuan Xiao & Winifred Huang & David P. Newton, 2024. "Predicting expected idiosyncratic volatility: Empirical evidence from ARFIMA, HAR, and EGARCH models," Review of Quantitative Finance and Accounting, Springer, vol. 63(3), pages 979-1006, October.
    104. František Čech & Jozef Baruník, 2019. "Panel quantile regressions for estimating and predicting the value‐at‐risk of commodities," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(9), pages 1167-1189, September.
    105. Dimos Kambouroudis & David McMillan & Katerina Tsakou, 2019. "Forecasting Realized Volatility: The role of implied volatility, leverage effect, overnight returns and volatility of realized volatility," Working Papers 2019-03, Swansea University, School of Management.
    106. Chao Liang & Yu Wei & Yaojie Zhang, 2020. "Is implied volatility more informative for forecasting realized volatility: An international perspective," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(8), pages 1253-1276, December.
    107. Jozef Barunik & Pavel Fiser, 2019. "Co-jumping of Treasury Yield Curve Rates," Papers 1905.01541, arXiv.org.
    108. Fulvio Corsi & Davide Pirino & Roberto Reno', 2010. "Threshold Bipower Variation and the Impact of Jumps on Volatility Forecasting," LEM Papers Series 2010/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    109. Chan, Kam Fong & Gray, Philip & van Campen, Bart, 2008. "A new approach to characterizing and forecasting electricity price volatility," International Journal of Forecasting, Elsevier, vol. 24(4), pages 728-743.
    110. Seul-Ki Park & Ji-Eun Choi & Dong Wan Shin, 2017. "Value at risk forecasting for volatility index," Applied Economics Letters, Taylor & Francis Journals, vol. 24(21), pages 1613-1620, December.
    111. Alexander Kempf & Olaf Korn & Sven Saßning, 2015. "Portfolio Optimization Using Forward-Looking Information," Review of Finance, European Finance Association, vol. 19(1), pages 467-490.
    112. Bernales, Alejandro & Guidolin, Massimo, 2014. "Can we forecast the implied volatility surface dynamics of equity options? Predictability and economic value tests," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 326-342.
    113. Dudley Gilder & Leonidas Tsiaras, 2020. "Volatility forecasts embedded in the prices of crude‐oil options," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(7), pages 1127-1159, July.
    114. Sensoy, Ahmet & Serdengeçti, Süleyman, 2020. "Impact of portfolio flows and heterogeneous expectations on FX jumps: Evidence from an emerging market," International Review of Financial Analysis, Elsevier, vol. 68(C).
    115. Dicle, Mehmet F. & Levendis, John, 2020. "Historic risk and implied volatility," Global Finance Journal, Elsevier, vol. 45(C).
    116. Oikonomou, Ioannis & Stancu, Andrei & Symeonidis, Lazaros & Wese Simen, Chardin, 2019. "The information content of short-term options," Journal of Financial Markets, Elsevier, vol. 46(C).
    117. Yaw‐Huei Wang & Kuang‐Chieh Yen, 2018. "The information content of option‐implied tail risk on the future returns of the underlying asset," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(4), pages 493-510, April.
    118. Stavros Degiannakis & Panagiotis Delis & George Filis & George Giannopoulos, 2025. "Trading VIX on Volatility Forecasts: Another Volatility Puzzle?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(4), pages 1602-1618, July.
    119. Feng Ma & Yu Wei & Wang Chen & Feng He, 2018. "Forecasting the volatility of crude oil futures using high-frequency data: further evidence," Empirical Economics, Springer, vol. 55(2), pages 653-678, September.
    120. Giampiero M. Gallo & Demetrio Lacava & Edoardo Otranto, 2023. "Volatility jumps and the classification of monetary policy announcements," Papers 2305.12192, arXiv.org.
    121. Li, Chenxing & Zhang, Zehua & Zhao, Ran, 2023. "Volatility or higher moments: Which is more important in return density forecasts of stochastic volatility model?," MPRA Paper 118459, University Library of Munich, Germany.
    122. Seo, Sung Won & Kim, Jun Sik, 2015. "The information content of option-implied information for volatility forecasting with investor sentiment," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 106-120.
    123. Maciej Augustyniak & Mathieu Boudreault, 2017. "Mitigating Interest Rate Risk in Variable Annuities: An Analysis of Hedging Effectiveness under Model Risk," North American Actuarial Journal, Taylor & Francis Journals, vol. 21(4), pages 502-525, October.
    124. Kraft, Holger & Schmidt, Alexander, 2013. "Systemic risk in the financial sector: What can se learn from option markets?," SAFE Working Paper Series 25, Leibniz Institute for Financial Research SAFE.
    125. Ricardo Crisostomo & Lorena Couso, 2018. "Financial density forecasts: A comprehensive comparison of risk-neutral and historical schemes," Papers 1801.08007, arXiv.org, revised May 2018.
    126. Bekaert, Geert & Hoerova, Marie, 2014. "The VIX, the variance premium and stock market volatility," Journal of Econometrics, Elsevier, vol. 183(2), pages 181-192.
    127. Pyun, Sungjune, 2019. "Variance risk in aggregate stock returns and time-varying return predictability," Journal of Financial Economics, Elsevier, vol. 132(1), pages 150-174.
    128. Vortelinos, Dimitrios I. & Lakshmi, Geeta, 2015. "Market risk of BRIC Eurobonds in the financial crisis period," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 295-310.
    129. Panagiotis Delis & Stavros Degiannakis & Konstantinos Giannopoulos, 2023. "What Should be Taken into Consideration when Forecasting Oil Implied Volatility Index?," The Energy Journal, , vol. 44(5), pages 231-250, September.
    130. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2013. "Some thoughts on accurate characterization of stock market indexes trends in conditions of nonlinear capital flows during electronic trading at stock exchanges in global capital markets," MPRA Paper 49921, University Library of Munich, Germany.
    131. Anupam Dutta & Kakali Kanjilal & Sajal Ghosh & Donghyun Park & Gazi Salah Uddin, 2023. "Impact of crude oil volatility jumps on sustainable investments: Evidence from India," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(10), pages 1450-1468, October.
    132. Peter Christoffersen & Kris Jacobs & Gregory Vainberg, 2007. "Forward-Looking Betas," CREATES Research Papers 2007-39, Department of Economics and Business Economics, Aarhus University.
    133. Massimiliano Caporin & Eduardo Rossi & Paolo Santucci de Magistris, 2014. "Volatility jumps and their economic determinants," CREATES Research Papers 2014-27, Department of Economics and Business Economics, Aarhus University.
    134. Dimos S. Kambouroudis & David G. McMillan & Katerina Tsakou, 2021. "Forecasting realized volatility: The role of implied volatility, leverage effect, overnight returns, and volatility of realized volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(10), pages 1618-1639, October.
    135. Lupu, Dan & Asandului, Mircea, 2014. "Considerations on the relantionship between exchange rates and stock markets in Eastern Europe in time of crisis," MPRA Paper 95507, University Library of Munich, Germany.
    136. Li, Yan & Huynh, Luu Duc Toan & Xu, Yongan & Liang, Hao, 2023. "The forecast ability of a belief-based momentum indicator in full-day, daytime, and nighttime volatilities of Chinese oil futures," Energy Economics, Elsevier, vol. 127(PB).
    137. Schlag, Christian & Thimme, Julian & Weber, Rüdiger, 2021. "Implied volatility duration: A measure for the timing of uncertainty resolution," Journal of Financial Economics, Elsevier, vol. 140(1), pages 127-144.
    138. Hwang, Eunju & Shin, Dong Wan, 2013. "A CUSUM test for a long memory heterogeneous autoregressive model," Economics Letters, Elsevier, vol. 121(3), pages 379-383.
    139. Yaojie Zhang & Mengxi He & Danyan Wen & Yudong Wang, 2022. "Forecasting Bitcoin volatility: A new insight from the threshold regression model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 633-652, April.
    140. Souček, Michael & Todorova, Neda, 2014. "Realized volatility transmission: The role of jumps and leverage effects," Economics Letters, Elsevier, vol. 122(2), pages 111-115.
    141. Lyócsa, Štefan & Plíhal, Tomáš & Výrost, Tomáš, 2024. "Forecasting day-ahead expected shortfall on the EUR/USD exchange rate: The (I)relevance of implied volatility," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1275-1301.
    142. Gkillas Konstantinos & Gupta Rangan & Vortelinos Dimitrios I., 2023. "Uncertainty and realized jumps in the pound-dollar exchange rate: evidence from over one century of data," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 27(1), pages 25-47, February.
    143. Fulvio Corsi & Davide Pirino & Roberto Renò, 2008. "Volatility forecasting: the jumps do matter," Department of Economics University of Siena 534, Department of Economics, University of Siena.
    144. Gongyue Jiang & Gaoxiu Qiao & Chao Liang, 2025. "Unveiling Bidirectional Forecasting Between Volatility of VIX and Stock Market: Insights From Asymmetric Jumps and Cojumps," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(10), pages 1717-1739, October.
    145. Worapree Maneesoonthorn & Gael M Martin & Catherine S Forbes, 2018. "Dynamic price jumps: The performance of high frequency tests and measures, and the robustness of inference," Monash Econometrics and Business Statistics Working Papers 17/18, Monash University, Department of Econometrics and Business Statistics.
    146. Panagiotis Delis & Stavros Degiannakis & George Filis, 2022. "What matters when developing oil price volatility forecasting frameworks?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 361-382, March.
    147. Hwang, Eunju & Shin, Dong Wan, 2015. "A CUSUMSQ test for structural breaks in error variance for a long memory heterogeneous autoregressive model," Statistics & Probability Letters, Elsevier, vol. 99(C), pages 167-176.
    148. Ho, Hwai-Chung & Tsai, Wei-Che, 2020. "Price delay and post-earnings announcement drift anomalies: The role of option-implied betas," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    149. Brigida, Matt & Pratt, William R., 2017. "Fake news," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 564-573.
    150. Degiannakis, Stavros & Filis, George, 2022. "Oil price volatility forecasts: What do investors need to know?," Journal of International Money and Finance, Elsevier, vol. 123(C).
    151. Ma, Feng & Li, Yu & Liu, Li & Zhang, Yaojie, 2018. "Are low-frequency data really uninformative? A forecasting combination perspective," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 92-108.
    152. Parhizgari, A.M. & Padungsaksawasdi, Chaiyuth, 2021. "Global equity market leadership positions through implied volatility measures," Journal of Empirical Finance, Elsevier, vol. 61(C), pages 180-205.
    153. Daniel Borup & Bent Jesper Christensen & Yunus Emre Ergemen, 2019. "Assessing predictive accuracy in panel data models with long-range dependence," CREATES Research Papers 2019-04, Department of Economics and Business Economics, Aarhus University.
    154. Dutta, Anupam & Uddin, Gazi Salah & Sheng, Lin Wen & Park, Donghyun & Zhu, Xuening, 2024. "Volatility dynamics of agricultural futures markets under uncertainties," Energy Economics, Elsevier, vol. 136(C).
    155. Zura Kakushadze & Juan Andrés Serur, 2018. "151 Trading Strategies," Springer Books, Springer, number 978-3-030-02792-6, January.
    156. Haugom, Erik & Ullrich, Carl J., 2012. "Forecasting spot price volatility using the short-term forward curve," Energy Economics, Elsevier, vol. 34(6), pages 1826-1833.
    157. Ye, Wuyi & Xia, Wenjing & Wu, Bin & Chen, Pengzhan, 2022. "Using implied volatility jumps for realized volatility forecasting: Evidence from the Chinese market," International Review of Financial Analysis, Elsevier, vol. 83(C).
    158. Fulvio Corsi & Roberto Renò, 2012. "Discrete-Time Volatility Forecasting With Persistent Leverage Effect and the Link With Continuous-Time Volatility Modeling," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 368-380, January.
    159. Liang, Chao & Huynh, Luu Duc Toan & Li, Yan, 2023. "Market momentum amplifies market volatility risk: Evidence from China’s equity market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    160. Min Liu & Wei‐Chong Choo & Chi‐Chuan Lee & Chien‐Chiang Lee, 2023. "Trading volume and realized volatility forecasting: Evidence from the China stock market," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 76-100, January.
    161. Baule, Rainer & Korn, Olaf & Saßning, Sven, 2013. "Which beta is best? On the information content of option-implied betas," CFR Working Papers 13-11, University of Cologne, Centre for Financial Research (CFR).
    162. Hendrik Kohrs & Hermann Mühlichen & Benjamin R. Auer, 2025. "Swing option-implied volatility," Review of Derivatives Research, Springer, vol. 28(3), pages 1-44, October.
    163. Byounghyun Jeon & Sung Won Seo & Jun Sik Kim, 2020. "Uncertainty and the volatility forecasting power of option‐implied volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(7), pages 1109-1126, July.
    164. Naeem, Muhammad Abubakr & Senthilkumar, Arunachalam & Arfaoui, Nadia & Mohnot, Rajesh, 2024. "Mapping fear in financial markets: Insights from dynamic networks and centrality measures," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
    165. Xiao, Jihong & Wen, Fenghua & Zhao, Yupei & Wang, Xiong, 2021. "The role of US implied volatility index in forecasting Chinese stock market volatility: Evidence from HAR models," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 311-333.
    166. Tomáš Plíhal, 2021. "Scheduled macroeconomic news announcements and Forex volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1379-1397, December.
    167. Werner Kristjanpoller, 2024. "A hybrid econometrics and machine learning based modeling of realized volatility of natural gas," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-32, December.
    168. Massimiliano Caporin & Aleksey Kolokolov & Roberto RenoÕ, 2014. "Multi-jumps," "Marco Fanno" Working Papers 0185, Dipartimento di Scienze Economiche "Marco Fanno".
      • Caporin, Massimiliano & Kolokolov, Aleksey & Renò, Roberto, 2014. "Multi-jumps," MPRA Paper 58175, University Library of Munich, Germany.
    169. Jia, Xiaolan & Fan, Zheqi & Ruan, Xinfeng, 2025. "Option profit and loss attribution and pricing in the Chinese options market," Pacific-Basin Finance Journal, Elsevier, vol. 91(C).
    170. Luo, Xingguo & Qin, Shihua & Ye, Zinan, 2016. "The information content of implied volatility and jumps in forecasting volatility: Evidence from the Shanghai gold futures market," Finance Research Letters, Elsevier, vol. 19(C), pages 105-111.
    171. Apostolos Kourtis & Raphael N. Markellos & Lazaros Symeonidis, 2016. "An International Comparison of Implied, Realized, and GARCH Volatility Forecasts," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(12), pages 1164-1193, December.
    172. Shin, Dong Wan & Hwang, Eunju, 2015. "A Lagrangian multiplier test for market microstructure noise with applications to sampling interval determination for realized volatilities," Economics Letters, Elsevier, vol. 129(C), pages 95-99.
    173. Ohnsorge,Franziska Lieselotte & Stocker,Marc & Some,Modeste Y., 2016. "Quantifying uncertainties in global growth forecasts," Policy Research Working Paper Series 7770, The World Bank.
    174. Worapree Maneesoonthorn & Gael M. Martin & Catherine S. Forbes, 2017. "Dynamic asset price jumps and the performance of high frequency tests and measures," Monash Econometrics and Business Statistics Working Papers 14/17, Monash University, Department of Econometrics and Business Statistics.
    175. Ji, Qiang & Zhang, Dayong, 2019. "China’s crude oil futures: Introduction and some stylized facts," Finance Research Letters, Elsevier, vol. 28(C), pages 376-380.
    176. Andrew J. Patton & Kevin Sheppard, 2015. "Good Volatility, Bad Volatility: Signed Jumps and The Persistence of Volatility," The Review of Economics and Statistics, MIT Press, vol. 97(3), pages 683-697, July.
    177. Bevilacqua, Mattia & Tunaru, Radu & Vioto, Davide, 2023. "Options-based systemic risk, financial distress, and macroeconomic downturns," Journal of Financial Markets, Elsevier, vol. 65(C).
    178. Nabil Maghrebi & Mark J. Holmes & Kosuke Oya, 2014. "Financial instability and the short-term dynamics of volatility expectations," Applied Financial Economics, Taylor & Francis Journals, vol. 24(6), pages 377-395, March.
    179. Mueller, Philippe & Vedolin, Andrea & Yen, Yu-Min, 2012. "Bond variance risk premia," LSE Research Online Documents on Economics 119053, London School of Economics and Political Science, LSE Library.
    180. Danyan Wen & Mengxi He & Yaojie Zhang & Yudong Wang, 2022. "Forecasting realized volatility of Chinese stock market: A simple but efficient truncated approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 230-251, March.
    181. Adam Clements & Yin Liao & Yusui Tang, 2022. "Moving beyond Volatility Index (VIX): HARnessing the term structure of implied volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 86-99, January.
    182. Shen, Lihua & Lu, Xinjie & Luu Duc Huynh, Toan & Liang, Chao, 2023. "Air quality index and the Chinese stock market volatility: Evidence from both market and sector indices," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 224-239.
    183. Plíhal, Tomáš & Lyócsa, Štefan, 2021. "Modeling realized volatility of the EUR/USD exchange rate: Does implied volatility really matter?," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 811-829.
    184. Bo Young Chang & Bruno Feunou, 2013. "Measuring Uncertainty in Monetary Policy Using Implied Volatility and Realized Volatility," Staff Working Papers 13-37, Bank of Canada.
    185. Liu, Ya & Qiu, Buhui & Wang, Teng, 2021. "Debt rollover risk, credit default swap spread and stock returns: Evidence from the COVID-19 crisis," Journal of Financial Stability, Elsevier, vol. 53(C).
    186. Anupam Dutta & Debojyoti Das, 2022. "Forecasting realized volatility: New evidence from time‐varying jumps in VIX," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(12), pages 2165-2189, December.

  52. Niels Haldrup & Frank S. Nielsen & Morten Ørregaard Nielsen, 2007. "A Vector Autoregressive Model for Electricity Prices Subject to Long Memory and Regime Switching," CREATES Research Papers 2007-29, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Afanasyev, Dmitriy & Fedorova, Elena, 2015. "The long-term trends on Russian electricity market: comparison of empirical mode and wavelet decompositions," MPRA Paper 62391, University Library of Munich, Germany.
    2. João Pedro Pereira & Vasco Pesquita & Paulo M. M. Rodrigues & António Rua, 2019. "Market integration and the persistence of electricity prices," Empirical Economics, Springer, vol. 57(5), pages 1495-1514, November.
    3. Emawtee Bissoondoyal-Bheenick & Robert Brooks & Hung Do, 2023. "Asset allocation of Australian superannuation funds: a markov regime switching approach," Annals of Operations Research, Springer, vol. 330(1), pages 485-515, November.
    4. Wensheng Kang & Ronald A. Ratti & Kyung Hwan Yoon, 2015. "Time-varying effect of oil market shocks on the stock market," CAMA Working Papers 2015-35, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    5. Afanasyev, Dmitriy O. & Fedorova, Elena A. & Popov, Viktor U., 2015. "Fine structure of the price–demand relationship in the electricity market: Multi-scale correlation analysis," Energy Economics, Elsevier, vol. 51(C), pages 215-226.
    6. Afanasyev, D. & Fedorova, E., 2018. "External and Internal Determinants on the Electricity Market: A Multi-Scale Adaptive Causal Analysis," Journal of the New Economic Association, New Economic Association, vol. 39(3), pages 33-54.
    7. Cerasa, Andrea & Zani, Alessandro, 2025. "Enhancing electricity price forecasting accuracy: A novel filtering strategy for improved out-of-sample predictions," Applied Energy, Elsevier, vol. 383(C).
    8. Eduardo Rossi & Paolo Santucci de Magistris, 2013. "A No‐Arbitrage Fractional Cointegration Model for Futures and Spot Daily Ranges," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(1), pages 77-102, January.
    9. Pircalabu, A. & Benth, F.E., 2017. "A regime-switching copula approach to modeling day-ahead prices in coupled electricity markets," Energy Economics, Elsevier, vol. 68(C), pages 283-302.
    10. Xu, Weijun & Sun, Qi & Xiao, Weilin, 2012. "A new energy model to capture the behavior of energy price processes," Economic Modelling, Elsevier, vol. 29(5), pages 1585-1591.
    11. Д.О. Афанасьев1 & * & Е.А. Федорова2 & **, 2019. "Краткосрочное Прогнозирование Цены Электроэнергии На Российском Рынке С Использованием Класса Моделей Scarx," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 55(1), pages 68-84, январь.
    12. Nowotarski, Jakub & Tomczyk, Jakub & Weron, Rafał, 2013. "Robust estimation and forecasting of the long-term seasonal component of electricity spot prices," Energy Economics, Elsevier, vol. 39(C), pages 13-27.
    13. Jorge Barrientos Marín & M�nica Toro Mart�nez, 2017. "Análisis de los fundamentales del precio de la energía eléctrica: evidencia empírica para Colombia," Revista de Economía del Caribe, Universidad del Norte, vol. 0(0), pages 1-26.
    14. Massimiliano Caporin & Fulvio Fontini & Paolo Santucci De Magistris, 2017. "Price convergence within and between the Italian electricity day-ahead and dispatching services markets," "Marco Fanno" Working Papers 0215, Dipartimento di Scienze Economiche "Marco Fanno".
    15. Eichler, M. & Türk, D., 2013. "Fitting semiparametric Markov regime-switching models to electricity spot prices," Energy Economics, Elsevier, vol. 36(C), pages 614-624.
    16. Martin-Valmayor, Miguel A. & Gil-Alana, Luis A. & Infante, Juan, 2023. "Energy prices in Europe. Evidence of persistence across markets," Resources Policy, Elsevier, vol. 82(C).
    17. Machin, S. & Marie, O. & Vujic, S., 2012. "Youth crime and education expansion," Research Memorandum 036, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    18. Javier Sánchez García & Salvador Cruz Rambaud, 2022. "Machine Learning Regularization Methods in High-Dimensional Monetary and Financial VARs," Mathematics, MDPI, vol. 10(6), pages 1-15, March.
    19. Dark, Jonathan, 2024. "An adaptive long memory conditional correlation model," Journal of Empirical Finance, Elsevier, vol. 75(C).
    20. Nima Nonejad, 2019. "Modeling Persistence and Parameter Instability in Historical Crude Oil Price Data Using a Gibbs Sampling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1687-1710, April.
    21. Ehsani, Behdad & Pineau, Pierre-Olivier & Charlin, Laurent, 2024. "Price forecasting in the Ontario electricity market via TriConvGRU hybrid model: Univariate vs. multivariate frameworks," Applied Energy, Elsevier, vol. 359(C).
    22. Martin de Lagarde, Cyril & Lantz, Frédéric, 2018. "How renewable production depresses electricity prices: Evidence from the German market," Energy Policy, Elsevier, vol. 117(C), pages 263-277.
    23. Michel Culot & Valérie Goffin & Steve Lawford & Sébastien de Meten & Yves Smeers, 2013. "Practical stochastic modelling of electricity prices," Post-Print hal-01021603, HAL.
    24. Taewoon Kong & Dongguen Choi & Geonseok Lee & Kichun Lee, 2021. "Air Pollution Prediction Using an Ensemble of Dynamic Transfer Models for Multivariate Time Series," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    25. Dmitriy O. Afanasyev & Elena A. Fedorova & Evgeniy V. Gilenko, 2021. "The fundamental drivers of electricity price: a multi-scale adaptive regression analysis," Empirical Economics, Springer, vol. 60(4), pages 1913-1938, April.
    26. Janczura, Joanna & Trueck, Stefan & Weron, Rafal & Wolff, Rodney, 2012. "Identifying spikes and seasonal components in electricity spot price data: A guide to robust modeling," MPRA Paper 39277, University Library of Munich, Germany.
    27. Joanna Janczura, 2014. "Pricing electricity derivatives within a Markov regime-switching model: a risk premium approach," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 79(1), pages 1-30, February.
    28. Jorge Barrientos Marín & Mónica Toro Martínez, 2016. "Sobre Los Fundamentales Del Precio De La Energía Eléctrica: Evidencia Empírica Para Colombia," Grupo Microeconomía Aplicada 74, Universidad de Antioquia, Departamento de Economía.
    29. Lehna, Malte & Scheller, Fabian & Herwartz, Helmut, 2022. "Forecasting day-ahead electricity prices: A comparison of time series and neural network models taking external regressors into account," Energy Economics, Elsevier, vol. 106(C).
    30. Florian Ziel & Rafal Weron, 2016. "Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate models," HSC Research Reports HSC/16/08, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    31. Zachmann, Georg, 2013. "A stochastic fuel switching model for electricity prices," Energy Economics, Elsevier, vol. 35(C), pages 5-13.
    32. Eduardo Rossi & Paolo Santucci de Magistris, 2009. "A No Arbitrage Fractional Cointegration Analysis Of The Range Based Volatility," CREATES Research Papers 2009-31, Department of Economics and Business Economics, Aarhus University.
    33. Eichler, M. & Türk, D.D.T., 2012. "Fitting semiparametric Markov regime-switching models to electricity spot prices," Research Memorandum 035, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    34. Lovcha, Yuliya & Pérez Laborda, Àlex, 2016. "Structural shocks and dinamic elasticities in a long memory model of the US gasoline retail market," Working Papers 2072/261538, Universitat Rovira i Virgili, Department of Economics.
    35. Yunus Emre Ergemen & Niels Haldrup & Carlos Vladimir Rodríguez-Caballero, 2015. "Common long-range dependence in a panel of hourly Nord Pool electricity prices and loads," CREATES Research Papers 2015-58, Department of Economics and Business Economics, Aarhus University.
    36. Antoine Ferré & Guillaume de Certaines & Jérôme Cazelles & Tancrède Cohet & Arash Farnoosh & Frédéric Lantz, 2021. "Short-term electricity price forecastingmodels comparative analysis : Machine Learning vs. Econometrics," Working Papers hal-03262208, HAL.
    37. Dias, José G. & Ramos, Sofia B., 2014. "Heterogeneous price dynamics in U.S. regional electricity markets," Energy Economics, Elsevier, vol. 46(C), pages 453-463.
    38. Do, Hung Xuan & Brooks, Robert & Treepongkaruna, Sirimon & Wu, Eliza, 2014. "The effects of sovereign rating drifts on financial return distributions: Evidence from the European Union," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 5-20.
    39. Monjazeb, Mohammad Reza & Amiri, Hossein & Movahedi, Akram, 2024. "Wholesale electricity price forecasting by Quantile Regression and Kalman Filter method," Energy, Elsevier, vol. 290(C).
    40. Duván Humberto Cataño & Carlos Vladimir Rodríguez-Caballero & Daniel Peña, 2019. "Wavelet Estimation for Dynamic Factor Models with Time-Varying Loadings," CREATES Research Papers 2019-23, Department of Economics and Business Economics, Aarhus University.
    41. Gil-Alana, Luis A. & Gupta, Rangan, 2014. "Persistence and cycles in historical oil price data," Energy Economics, Elsevier, vol. 45(C), pages 511-516.
    42. Gianfreda, Angelica & Grossi, Luigi, 2012. "Forecasting Italian electricity zonal prices with exogenous variables," Energy Economics, Elsevier, vol. 34(6), pages 2228-2239.
    43. Ziel, Florian & Weron, Rafał, 2018. "Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks," Energy Economics, Elsevier, vol. 70(C), pages 396-420.
    44. Afanasyev, Dmitriy O. & Fedorova, Elena A., 2016. "The long-term trends on the electricity markets: Comparison of empirical mode and wavelet decompositions," Energy Economics, Elsevier, vol. 56(C), pages 432-442.
    45. Sun, Qi & Xu, Weijun & Xiao, Weilin, 2013. "An empirical estimation for mean-reverting coal prices with long memory," Economic Modelling, Elsevier, vol. 33(C), pages 174-181.
    46. Girum D. Abate & Niels Haldrup, 2015. "Space-time modeling of electricity spot prices," CREATES Research Papers 2015-22, Department of Economics and Business Economics, Aarhus University.

  53. Bent Jesper Christensen & Morten Ørregaard Nielsen & Jie Zhu, 2007. "Long Memory in Stock Market Volatility and the Volatility-in-Mean Effect: The FIEGARCH-M Model," CREATES Research Papers 2007-10, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Jie Zhu, 2008. "FIEGARCH-M and and International Crises: A Cross-Country Analysis," CREATES Research Papers 2008-16, Department of Economics and Business Economics, Aarhus University.
    2. Fu, Hui & Chen, Wenting & He, Xin-Jiang, 2018. "On a class of estimation and test for long memory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 906-920.
    3. Samet Günay, 2016. "Performance of the Multifractal Model of Asset Returns (MMAR): Evidence from Emerging Stock Markets," IJFS, MDPI, vol. 4(2), pages 1-17, May.
    4. He, Zhongzhi (Lawrence) & Zhu, Jie & Zhu, Xiaoneng, 2015. "Multi-factor volatility and stock returns," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 132-149.
    5. Chen, Junping & Xiong, Xiong & Zhu, Jie & Zhu, Xiaoneng, 2017. "Asset prices and economic fluctuations: The implications of stochastic volatility," Economic Modelling, Elsevier, vol. 64(C), pages 128-140.
    6. Bernard Bollen, 2015. "What should the value of lambda be in the exponentially weighted moving average volatility model?," Applied Economics, Taylor & Francis Journals, vol. 47(8), pages 853-860, February.
    7. Dai, Zhifeng & Chang, Xiaoming, 2021. "Forecasting stock market volatility: Can the risk aversion measure exert an important role?," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    8. Christensen, Bent Jesper & Dahl, Christian M. & Iglesias, Emma M., 2012. "Semiparametric inference in a GARCH-in-mean model," Journal of Econometrics, Elsevier, vol. 167(2), pages 458-472.
    9. Conrad, Christian & Karanasos, Menelaos & Zeng, Ning, 2011. "Multivariate fractionally integrated APARCH modeling of stock market volatility: A multi-country study," Journal of Empirical Finance, Elsevier, vol. 18(1), pages 147-159, January.
    10. Bent Jesper Christensen & Morten Ørregaard Nielsen & Jie Zhu, 2012. "The impact of financial crises on the risk-return tradeoff and the leverage effect," CREATES Research Papers 2012-19, Department of Economics and Business Economics, Aarhus University.
    11. Zouheir Mighri & Faysal Mansouri, 2014. "Modeling international stock market contagion using multivariate fractionally integrated APARCH approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-25, December.
    12. Chkili, Walid & Aloui, Chaker & Nguyen, Duc Khuong, 2012. "Asymmetric effects and long memory in dynamic volatility relationships between stock returns and exchange rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(4), pages 738-757.
    13. Dimitrakopoulos, Stefanos & Tsionas, Mike, 2019. "Ordinal-response GARCH models for transaction data: A forecasting exercise," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1273-1287.
    14. Dahl, Christian M. & Iglesias, Emma M., 2009. "Volatility spill-overs in commodity spot prices: New empirical results," Economic Modelling, Elsevier, vol. 26(3), pages 601-607, May.
    15. Harry Vander Elst, 2015. "FloGARCH : Realizing long memory and asymmetries in returns volatility," Working Paper Research 280, National Bank of Belgium.
    16. Meng, Bo & Vijh, Anand M., 2021. "Stock merger activity and industry performance," Journal of Banking & Finance, Elsevier, vol. 129(C).
    17. Gil-Alana, Luis A. & Mudida, Robert & Yaya, OlaOluwa S & Osuolale, Kazeem & Ogbonna, Ephraim A, 2019. "Influence of US Presidential Terms on S&P500 Index Using a Time Series Analysis Approach," MPRA Paper 93941, University Library of Munich, Germany.
    18. He, Zhongzhi (Lawrence) & Zhu, Jie & Zhu, Xiaoneng, 2015. "Dynamic factors and asset pricing: International and further U.S. evidence," Pacific-Basin Finance Journal, Elsevier, vol. 32(C), pages 21-39.
    19. Massimiliano Caporin & Angelo Ranaldo & Paolo Santucci de Magistris, 2011. "On the Predictability of Stock Prices: A Case for High and Low Prices," "Marco Fanno" Working Papers 0136, Dipartimento di Scienze Economiche "Marco Fanno".
    20. Naveen Musunuru, 2019. "Modeling Long Range Dependence in Wheat Food Price Returns," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(9), pages 1-46, September.
    21. Richard T. Baillie & Fabio Calonaci & Dooyeon Cho & Seunghwa Rho, 2019. "Long Memory, Realized Volatility and HAR Models," Working Papers 881, Queen Mary University of London, School of Economics and Finance.
    22. Luis A. Gil‐Alana & Robert Mudida & OlaOluwa S. Yaya & Kazeem A. Osuolale & Ahamuefula E. Ogbonna, 2021. "Mapping US presidential terms with S&P500 index: Time series analysis approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1938-1954, April.
    23. Xue-Zhong He & Huanhuan Zheng, 2016. "Trading Heterogeneity Under Information Uncertainty," Research Paper Series 373, Quantitative Finance Research Centre, University of Technology, Sydney.
    24. Dahl Christian M & Iglesias Emma, 2011. "Modeling the Volatility-Return Trade-Off When Volatility May Be Nonstationary," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-32, February.
    25. Vafiadis Nikolaos, 2015. "Forecasting Volatility and the Risk–Return Tradeoff: An Application on the Fama–French Benchmark Market Return," Journal of Time Series Econometrics, De Gruyter, vol. 7(2), pages 181-216, July.
    26. A. M. M. Shahiduzzaman Quoreshi & Reaz Uddin & Viroj Jienwatcharamongkhol, 2019. "Equity Market Contagion in Return Volatility during Euro Zone and Global Financial Crises: Evidence from FIMACH Model," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    27. Andrew Harvey & Rutger-Jan Lange, 2015. "Modeling the Interactions between Volatility and Returns," Cambridge Working Papers in Economics 1518, Faculty of Economics, University of Cambridge.
    28. Liang, Chao & Ma, Feng & Li, Ziyang & Li, Yan, 2020. "Which types of commodity price information are more useful for predicting US stock market volatility?," Economic Modelling, Elsevier, vol. 93(C), pages 642-650.
    29. Andrew Harvey & Rutger‐Jan Lange, 2018. "Modeling the Interactions between Volatility and Returns using EGARCH‐M," Journal of Time Series Analysis, Wiley Blackwell, vol. 39(6), pages 909-919, November.
    30. Zhang, Jiu & Jin, Li-Fu & Zheng, Bo & Li, Yan & Jiang, Xiong-Fei, 2022. "Simplified calculations of time correlation functions in non-stationary complex financial systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    31. Charfeddine, Lanouar, 2014. "True or spurious long memory in volatility: Further evidence on the energy futures markets," Energy Policy, Elsevier, vol. 71(C), pages 76-93.
    32. Chkili, Walid & Aloui, Chaker & Nguyen, Duc Khuong, 2014. "Instabilities in the relationships and hedging strategies between crude oil and US stock markets: Do long memory and asymmetry matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 354-366.
    33. Zhang, Heng-Guo & Su, Chi-Wei & Song, Yan & Qiu, Shuqi & Xiao, Ran & Su, Fei, 2017. "Calculating Value-at-Risk for high-dimensional time series using a nonlinear random mapping model," Economic Modelling, Elsevier, vol. 67(C), pages 355-367.
    34. Ozcan Ceylan, 2012. "Time-Varying Volatility Asymmetry: A Conditioned HAR-RV(CJ) EGARCH-M Model," GIAM Working Papers 12-4, Galatasaray University Economic Research Center.
    35. Cevik, Emrah Ismail & Topaloğlu, Gültekin, 2014. "Volatilitede uzun hafıza ve yapısal kırılma: Borsa Istanbul örneği [Long memory and structural breaks on volatility: evidence from Borsa Istanbul]," MPRA Paper 71485, University Library of Munich, Germany, revised 2014.
    36. Gil-Alana, Luis A. & Gupta, Rangan, 2014. "Persistence and cycles in historical oil price data," Energy Economics, Elsevier, vol. 45(C), pages 511-516.
    37. Christian de Peretti & Dorra Hmaied, 2018. "The Credit Default Swap market contagion during recent crises: International evidence," Post-Print hal-01572510, HAL.
    38. Juan Carlos Cuestas & Luis A. Gil-Alana & Laura Sauci, 2020. "Public finances in the EU-27: Are they sustainable?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(1), pages 181-204, February.
    39. Zouheir Mighri, 2018. "On the Dynamic Linkages Among International Emerging Currencies," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(2), pages 427-473, June.
    40. Anastasios Megaritis & Alexandros Kontonikas & Nikolaos Vlastakis & Athanasios Triantafyllou, 2025. "The term structure of interest rates as predictor of stock market volatility," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 3212-3229, July.

  54. Bent Jesper Christensen & Morten Ø. Nielsen & Thomas Busch, 2006. "The Information Content Of Treasury Bond Options Concerning Future Volatility And Price Jumps," Working Paper 1188, Economics Department, Queen's University.

    Cited by:

    1. Chan, Kam Fong & Gray, Philip & van Campen, Bart, 2008. "A new approach to characterizing and forecasting electricity price volatility," International Journal of Forecasting, Elsevier, vol. 24(4), pages 728-743.
    2. Busch, Thomas & Christensen, Bent Jesper & Nielsen, Morten Ørregaard, 2011. "The role of implied volatility in forecasting future realized volatility and jumps in foreign exchange, stock, and bond markets," Journal of Econometrics, Elsevier, vol. 160(1), pages 48-57, January.

  55. Morten Ø. Nielsen & Katsumi Shimotsu, 2006. "Determining The Cointegrating Rank In Nonstationary Fractional Systems By The Exact Local Whittle Approach," Working Paper 1029, Economics Department, Queen's University.

    Cited by:

    1. Nielsen, Morten Ørregaard, 2010. "Nonparametric cointegration analysis of fractional systems with unknown integration orders," Journal of Econometrics, Elsevier, vol. 155(2), pages 170-187, April.
    2. Becker, Janis & Leschinski, Christian & Sibbertsen, Philipp, 2019. "Robust Multivariate Local Whittle Estimation and Spurious Fractional Cointegration," Hannover Economic Papers (HEP) dp-660, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    3. Quineche Ricardo, 2021. "Consumption, Aggregate Wealth and Expected Stock Returns: An FCVAR Approach," Journal of Time Series Econometrics, De Gruyter, vol. 13(1), pages 21-42, January.
    4. Marcel Aloy & Gilles Truchis, 2016. "Optimal Estimation Strategies for Bivariate Fractional Cointegration Systems and the Co-persistence Analysis of Stock Market Realized Volatilities," Computational Economics, Springer;Society for Computational Economics, vol. 48(1), pages 83-104, June.
    5. de Truchis, Gilles & Dell’Eva, Cyril & Keddad, Benjamin, 2017. "On exchange rate comovements: New evidence from a Taylor rule fundamentals model with adaptive learning," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 82-98.
    6. Leschinski, Christian & Voges, Michelle & Sibbertsen, Philipp, 2019. "A Comparison of Semiparametric Tests for Fractional Cointegration," Hannover Economic Papers (HEP) dp-651, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    7. Christian Leschinski & Michelle Voges & Philipp Sibbertsen, 2021. "Integration and Disintegration of EMU Government Bond Markets," Econometrics, MDPI, vol. 9(1), pages 1-17, March.
    8. Gilles de Truchis & Elena Ivona Dumitrescu, 2019. "Narrow-band Weighted Nonlinear Least Squares Estimation of Unbalanced Cointegration Systems," EconomiX Working Papers 2019-14, University of Paris Nanterre, EconomiX.
    9. Federico Carlini & Paolo Santucci de Magistris, 2013. "On the identification of fractionally cointegrated VAR models with the F(d) condition," CREATES Research Papers 2013-44, Department of Economics and Business Economics, Aarhus University.
    10. Rossi, Eduardo & Santucci de Magistris, Paolo, 2013. "Long memory and tail dependence in trading volume and volatility," Journal of Empirical Finance, Elsevier, vol. 22(C), pages 94-112.
    11. Hualde, J. & Robinson, P.M., 2010. "Semiparametric inference in multivariate fractionally cointegrated systems," Journal of Econometrics, Elsevier, vol. 157(2), pages 492-511, August.
    12. Eduardo Rossi & Paolo Santucci de Magistris, 2013. "A No‐Arbitrage Fractional Cointegration Model for Futures and Spot Daily Ranges," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(1), pages 77-102, January.
    13. Benchimol, Jonathan & Palumbo, Luigi, 2024. "Sanctions and Russian online prices," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 225, pages 483-521.
    14. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    15. Cheng, Xu & Phillips, Peter C.B., 2012. "Cointegrating rank selection in models with time-varying variance," Journal of Econometrics, Elsevier, vol. 169(2), pages 155-165.
    16. Massimiliano Caporin & Fulvio Fontini & Paolo Santucci De Magistris, 2017. "Price convergence within and between the Italian electricity day-ahead and dispatching services markets," "Marco Fanno" Working Papers 0215, Dipartimento di Scienze Economiche "Marco Fanno".
    17. Yung-Ching Tseng & Wo-Chiang Lee, 2016. "Investor Sentiment and ETF Liquidity - Evidence from Asia Markets," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 6(1), pages 1-5.
    18. Marina Balboa & Paulo M. M. Rodrigues & Antonio Rubia & A. M. Robert Taylor, 2021. "Multivariate fractional integration tests allowing for conditional heteroskedasticity with an application to return volatility and trading volume," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 544-565, August.
    19. Tobias Hartl & Roland Weigand, 2018. "Multivariate Fractional Components Analysis," Papers 1812.09149, arXiv.org, revised Jan 2019.
    20. Leandro Maciel, 2020. "Technical analysis based on high and low stock prices forecasts: evidence for Brazil using a fractionally cointegrated VAR model," Empirical Economics, Springer, vol. 58(4), pages 1513-1540, April.
    21. Christensen, Bent Jesper & Varneskov, Rasmus Tangsgaard, 2017. "Medium band least squares estimation of fractional cointegration in the presence of low-frequency contamination," Journal of Econometrics, Elsevier, vol. 197(2), pages 218-244.
    22. Dorina Lazar & Michel M. Denuit, 2009. "A multivariate time series approach to projected life tables," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(6), pages 806-823, November.
    23. Baruník, Jozef & Dvořáková, Sylvie, 2015. "An empirical model of fractionally cointegrated daily high and low stock market prices," Economic Modelling, Elsevier, vol. 45(C), pages 193-206.
    24. Daniela Osterrieder & Daniel Ventosa-Santaulària & J. Eduardo Vera-Valdés, 2015. "Unbalanced Regressions and the Predictive Equation," CREATES Research Papers 2015-09, Department of Economics and Business Economics, Aarhus University.
    25. Zhenxiong Li & Marwan Izzeldin & Xingzhi Yao, 2020. "Return predictability of variance differences: A fractionally cointegrated approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(7), pages 1072-1089, July.
    26. Morten Ørregaard Nielsen & Sergei S. Shibaev, 2016. "Forecasting daily political opinion polls using the fractionally cointegrated VAR model," CREATES Research Papers 2016-30, Department of Economics and Business Economics, Aarhus University.
    27. Halser, Christoph & Paraschiv, Florentina & Russo, Marianna, 2023. "Oil–gas price relationships on three continents: Disruptions and equilibria," Journal of Commodity Markets, Elsevier, vol. 31(C).
    28. de Truchis, Gilles & Keddad, Benjamin, 2013. "Southeast Asian monetary integration: New evidences from fractional cointegration of real exchange rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 394-412.
    29. Boubaker, Heni & Zorgati, Mouna Ben Saad & Bannour, Nawres, 2021. "Interdependence between exchange rates: Evidence from multivariate analysis since the financial crisis to the COVID-19 crisis," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 592-608.
    30. Frank S. Nielsen, 2009. "Local Whittle estimation of multivariate fractionally integrated processes," CREATES Research Papers 2009-38, Department of Economics and Business Economics, Aarhus University.
    31. Massimiliano Caporin & Angelo Ranaldo & Paolo Santucci de Magistris, 2011. "On the Predictability of Stock Prices: A Case for High and Low Prices," "Marco Fanno" Working Papers 0136, Dipartimento di Scienze Economiche "Marco Fanno".
    32. Gilles Truchis & Benjamin Keddad, 2016. "Long-Run Comovements in East Asian Stock Market Volatility," Open Economies Review, Springer, vol. 27(5), pages 969-986, November.
    33. Piotr Gurgul & Robert Syrek, 2013. "Testing of Dependencies between Stock Returns and Trading Volume by High Frequency Data," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 11(4 (Winter), pages 353-373.
    34. de Truchis, Gilles & Keddad, Benjamin, 2016. "On the risk comovements between the crude oil market and U.S. dollar exchange rates," Economic Modelling, Elsevier, vol. 52(PA), pages 206-215.
    35. Forte, Santiago & Lovreta, Lidija, 2019. "Volatility discovery: Can the CDS market beat the equity options market?," Finance Research Letters, Elsevier, vol. 28(C), pages 107-111.
    36. Alia Afzal & Philipp Sibbertsen, 2021. "Modeling fractional cointegration between high and low stock prices in Asian countries," Empirical Economics, Springer, vol. 60(2), pages 661-682, February.
    37. Dechert, Andreas, 2014. "Fraktionale Kointegrationsbeziehungen zwischen Euribor-Zinssätzen," W.E.P. - Würzburg Economic Papers 93, University of Würzburg, Department of Economics.
    38. Less, Vivien & Sibbertsen, Philipp, 2022. "Estimation and Testing in a Perturbed Multivariate Long Memory Framework," Hannover Economic Papers (HEP) dp-704, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    39. Eduardo Rossi & Paolo Santucci de Magistris, 2009. "A No Arbitrage Fractional Cointegration Analysis Of The Range Based Volatility," CREATES Research Papers 2009-31, Department of Economics and Business Economics, Aarhus University.
    40. Katarzyna Lasak & Carlos Velasco, 2014. "Fractional Cointegration Rank Estimation," Tinbergen Institute Discussion Papers 14-021/III, Tinbergen Institute.
    41. Shimotsu, Katsumi, 2012. "Exact local Whittle estimation of fractionally cointegrated systems," Journal of Econometrics, Elsevier, vol. 169(2), pages 266-278.
    42. Fabrizio Iacone, 2009. "A Semiparametric Analysis of the Term Structure of the US Interest Rates," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(4), pages 475-490, August.
    43. Frank S. Nielsen, 2011. "Local Whittle estimation of multi‐variate fractionally integrated processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 32(3), pages 317-335, May.
    44. Yaya, OlaOluwa S & Gil-Alana, Luis A., 2018. "High and Low Intraday Commodity Prices: A Fractional Integration and Cointegration Approach," MPRA Paper 90518, University Library of Munich, Germany.
    45. Gilles de Truchis & Florent Dubois & Elena Ivona Dumitrescu, 2019. "Local Whittle Analysis of Stationary Unbalanced Fractional Cointegration Systems," Working Papers hal-04141882, HAL.
    46. Dechert, Andreas, 2012. "Variance Ratio Testing for Fractional Cointegration in Presence of Trends and Trend Breaks," MPRA Paper 41044, University Library of Munich, Germany.
    47. Avarucci, Marco & Velasco, Carlos, 2009. "A Wald test for the cointegration rank in nonstationary fractional systems," Journal of Econometrics, Elsevier, vol. 151(2), pages 178-189, August.
    48. Man Wang & Ngai Hang Chan, 2016. "Testing for the Equality of Integration Orders of Multiple Series," Econometrics, MDPI, vol. 4(4), pages 1-10, December.

  56. Asaf Zussman & Noam Zussman & Morten Nielsen, 2006. "Asset Market Perspectives on the Israeli-Palestinian Conflict," Bank of Israel Working Papers 2006.02, Bank of Israel.

    Cited by:

    1. Kim Oosterlinck & Loredana Ureche-Rangau & Jacques-Marie Vaslin, 2013. "Waterloo: a Godsend for French Public Finances?," Working Papers CEB 13-028, ULB -- Universite Libre de Bruxelles.
    2. Jonathan Benchimol & Makram El-Shagi, 2019. "Forecast Performance in Times of Terrorism," Bank of Israel Working Papers 2019.08, Bank of Israel.
    3. Marc Flandreau & Kim Oosterlinck, 2011. "Was the Emergence of the International Gold Standard Expected?Melodramatic Evidence from Indian Government Securities," Working Papers CEB 11-001, ULB -- Universite Libre de Bruxelles.
    4. Antonakakis, Nikolaos & Gupta, Rangan & Kollias, Christos & Papadamou, Stephanos, 2017. "Geopolitical risks and the oil-stock nexus over 1899–2016," Finance Research Letters, Elsevier, vol. 23(C), pages 165-173.
    5. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Tabak, Benjamin Miranda, 2023. "Trade matters except to war neighbors: The international stock market reaction to 2022 Russia’s invasion of Ukraine," Research in International Business and Finance, Elsevier, vol. 65(C).
    6. V. Kerry Smith & Carol Mansfield & Laurel Clayton, 2008. "Valuing a Homeland Security Policy: Countermeasures for the Threats from Shoulder Mounted Missiles," NBER Working Papers 14325, National Bureau of Economic Research, Inc.
    7. Ijaz, Muhammad Shahzad & Ali, Shoaib & Du, Anna Min & Khurram, Mahrukh, 2025. "Analyzing financial market reactions to the Palestine-Israel conflict: An event study perspective," International Review of Economics & Finance, Elsevier, vol. 98(C).
    8. Flandreau, Marc & Oosterlinck, Kim, 2012. "Was the emergence of the international gold standard expected? Evidence from Indian Government securities," Journal of Monetary Economics, Elsevier, vol. 59(7), pages 649-669.
    9. Marc Rockmore, 2011. "The Cost of Fear: The Welfare Effects of the Risk of Violence in Northern Uganda," HiCN Working Papers 109, Households in Conflict Network.
    10. Timothy Besley & Hannes Mueller, 2009. "Estimating the Peace Dividend:The Impact of Violence on HousePrices in Northern Ireland," STICERD - Economic Organisation and Public Policy Discussion Papers Series 011, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    11. Jeroen Klomp, 2025. "The impact of the Hamas-Israel conflict on the U.S. defense industry stock market return," PLOS ONE, Public Library of Science, vol. 20(2), pages 1-21, February.
    12. Caruso Raul & Klor Esteban F., 2012. "Political Economy Studies on the Israeli-Palestinian Conflict: Introduction," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 18(2), pages 1-10, August.
    13. Asaf Zussman & Noam Zussman, 2006. "Assassinations: Evaluating the Effectiveness of an Israeli Counterterrorism Policy Using Stock Market Data," Journal of Economic Perspectives, American Economic Association, vol. 20(2), pages 193-206, Spring.
    14. Triki, Mohamed Bilel & Ben Maatoug, Abderrazek, 2021. "The GOLD market as a safe haven against the stock market uncertainty: Evidence from geopolitical risk," Resources Policy, Elsevier, vol. 70(C).
    15. Ofir D. Rubin & Rico Ihle, 2017. "Measuring Temporal Dimensions of the Intensity of Violent Political Conflict," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(2), pages 621-642, June.
    16. Hanedar, Avni Önder & Yaldız Hanedar, Elmas, 2017. "Stock market reactions to wars and political risks: A cliometric perspective for a falling empire," MPRA Paper 85600, University Library of Munich, Germany, revised 25 Mar 2018.
    17. Friedrich Schneider & Tilman Brück & Daniel Meierrieks, 2011. "The Economics of Terrorism and Counter-Terrorism: A Survey (Part II)," Economics of Security Working Paper Series 45, DIW Berlin, German Institute for Economic Research.
    18. Elster, Yael & Zussman, Asaf & Zussman, Noam, 2017. "Rockets: The housing market effects of a credible terrorist threat," Journal of Urban Economics, Elsevier, vol. 99(C), pages 136-147.
    19. Alberto Abadie & Sofia Dermisi, 2006. "Is Terrorism Eroding Agglomeration Economies in Central Business Districts? Lessons from the Office Real Estate Market in Downtown Chicago," NBER Working Papers 12678, National Bureau of Economic Research, Inc.
    20. Grossman, Richard S. & Imai, Masami, 2009. "Japan's return to gold: Turning points in the value of the yen during the 1920s," Explorations in Economic History, Elsevier, vol. 46(3), pages 314-323, July.
    21. Timothy Besley & Marta Reynal-Querol, 2012. "The Legacy of Historical Conflict Evidence from Africa," STICERD - Economic Organisation and Public Policy Discussion Papers Series 036, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    22. Nowak, Adam & Sayago-Gomez, Juan, 2018. "Homeowner preferences after September 11th, a microdata approach," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 330-351.
    23. Nathan Foley-Fisher & Eoin McLaughlin, 2014. "State dissolution, sovereign debt and default:Lessons from the UK and Ireland, 1920-1938," Working Papers 0061, European Historical Economics Society (EHES).
    24. Scott R. Baker & Nicholas Bloom & Stephen J. Terry, 2020. "Using Disasters to Estimate the Impact of Uncertainty," NBER Working Papers 27167, National Bureau of Economic Research, Inc.
    25. Stephanie Collet & Kim Oosterlinck, 2019. "Denouncing Odious Debts," Journal of Business Ethics, Springer, vol. 160(1), pages 205-223, November.
    26. Chun-Yu Ho & Dan Li, 2014. "A mirror of history: China's bond market, 1921–42," Economic History Review, Economic History Society, vol. 67(2), pages 409-434, May.
    27. Xavier De Scheemaekere & Kim Oosterlinck & Ariane Szafarz, 2014. "Issues in Identifying Economic Crises: Insights from History," Working Papers CEB 14-014, ULB -- Universite Libre de Bruxelles.
    28. Melnick, Rafi & Eldor, Rafi, 2010. "Small investment and large returns: Terrorism, media and the economy," European Economic Review, Elsevier, vol. 54(8), pages 963-973, November.
    29. Scott R. Baker & Nicholas Bloom, 2013. "Does Uncertainty Reduce Growth? Using Disasters as Natural Experiments," NBER Working Papers 19475, National Bureau of Economic Research, Inc.
    30. Lusine Ivanov-Davtyan, 2024. "Education Under Attack? The Impact of a Localized War on Schooling Achievements," CERGE-EI Working Papers wp784, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    31. Selmi, Refk & Bouoiyour, Jamal, 2020. "Arab geopolitics in turmoil: Implications of Qatar-Gulf crisis for business," International Economics, Elsevier, vol. 161(C), pages 100-119.
    32. Augustin Tapsoba, 2018. "The Cost of Fear: Impact of Violence Risk on Child Health During Conflict," HiCN Working Papers 279, Households in Conflict Network.
    33. Hanedar, Avni Önder & Hanedar, Elmas Yaldız, 2017. "Ottoman stock returns during the Turco-Italian and Balkan Wars of 1910-1914," eabh Papers 17-02, The European Association for Banking and Financial History (EABH).
    34. Young Han Kim & Hosung Jung, 2014. "Investor Trading Behavior Around the Time of Geopolitical Risk Events: Evidence from South Korea," Working Papers 2014-10, Economic Research Institute, Bank of Korea.
    35. Foley-Fisher, Nathan & McLaughlin, Eoin, 2016. "Sovereign debt guarantees and default: Lessons from the UK and Ireland, 1920–1938," European Economic Review, Elsevier, vol. 87(C), pages 272-286.
    36. Francesco Amodio & Michele Di Maio, 2014. "Making Do with What You Have: Conflict, Firm Performance and Input Misallocation in Palestine," HiCN Working Papers 179, Households in Conflict Network.
    37. Fengze Han & Runliang Li & Sen Ma & Tzu‐Chang Forrest Cheng, 2025. "Deterrent effects of targeted sanctions by mainland China on Taiwan: evidence from 2021–2 sanction events," Economica, London School of Economics and Political Science, vol. 92(365), pages 259-284, January.
    38. Gerlach, Jeffrey R. & Yook, Youngsuk, 2016. "Political conflict and foreign portfolio investment: Evidence from North Korean attacks," Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 178-196.
    39. Rubin, Ofir D. & Ihle, Rico & Kachel, Yael & Goodwin, Barry K., 2013. "The impact of violent political conflict on commodity prices: The Israeli food market," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150961, Agricultural and Applied Economics Association.
    40. He, Yinghua & Nielsson, Ulf & Wang, Yonglei, 2017. "Hurting without hitting: The economic cost of political tension," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 106-124.
    41. Muhammad Asali, 2013. "The Effect of Immigration on Unskilled Native Workers: Evidence from a Natural Experiment," Southern Economic Journal, John Wiley & Sons, vol. 80(2), pages 345-365, October.
    42. Jeffrey R. Gerlach & Youngsuk Yook, 2016. "Political Conflict and Foreign Portfolio Investment : Evidence from North Korean Attacks," Finance and Economics Discussion Series 2016-037, Board of Governors of the Federal Reserve System (U.S.).

  57. Morten Ø. Nielsen & Per Houmann Frederiksen, 2005. "Finite Sample Comparison Of Parametric, Semiparametric, And Wavelet Estimators Of Fractional Integration," Working Paper 1189, Economics Department, Queen's University.

    Cited by:

    1. Claudio Morana, 2014. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks," Working Papers 273, University of Milano-Bicocca, Department of Economics, revised May 2014.
    2. Marcel Aloy & Gilles Truchis, 2016. "Optimal Estimation Strategies for Bivariate Fractional Cointegration Systems and the Co-persistence Analysis of Stock Market Realized Volatilities," Computational Economics, Springer;Society for Computational Economics, vol. 48(1), pages 83-104, June.
    3. Kanchana Nadarajah & Gael M Martin & Donald S Poskitt, 2019. "Optimal Bias Correction of the Log-periodogram Estimator of the Fractional Parameter: A Jackknife Approach," Monash Econometrics and Business Statistics Working Papers 7/19, Monash University, Department of Econometrics and Business Statistics.
    4. Hiremath, Gourishankar S & Bandi, Kamaiah, 2011. "Testing Long Memory in Stock Returns of Emerging Markets: Some Further Evidence," MPRA Paper 48517, University Library of Munich, Germany.
    5. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    6. Morana, Claudio, 2006. "A small scale macroeconometric model for the Euro-12 area," Economic Modelling, Elsevier, vol. 23(3), pages 391-426, May.
    7. Afonso Gonçalves da Silva & Peter M Robinson, 2006. "Finite Sample Performance in CointegrationAnalysis of Nonlinear Time Series with LongMemory," STICERD - Econometrics Paper Series 501, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    8. Cassola, Nuno & Morana, Claudio, 2006. "Comovements in volatility in the euro money market," Working Paper Series 703, European Central Bank.
    9. Morten Ørregaard Nielsen, 2014. "Asymptotics for the conditional-sum-of-squares estimator in multivariate fractional time series models," CREATES Research Papers 2014-34, Department of Economics and Business Economics, Aarhus University.
    10. Baillie Richard T. & Kapetanios George, 2016. "On the estimation of short memory components in long memory time series models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 365-375, September.
    11. K. Nadarajah & Gael M. Martin & D.S. Poskitt, 2014. "Issues in the Estimation of Mis-Specified Models of Fractionally Integrated Processes," Monash Econometrics and Business Statistics Working Papers 18/14, Monash University, Department of Econometrics and Business Statistics.
    12. Orlov, Vitaly & Äijö, Janne, 2015. "Benefits of wavelet-based carry trade diversification," Research in International Business and Finance, Elsevier, vol. 34(C), pages 17-32.
    13. Dalla, Violetta, 2015. "Power transformations of absolute returns and long memory estimation," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 1-18.
    14. Kraicova, Lucie & Barunik, Jozef, 2015. "Estimation of long memory in volatility using wavelets," FinMaP-Working Papers 33, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    15. Dominique Guegan & Zhiping Lu & Beijia Zhu, 2012. "Comparaison of Several Estimation Procedures for Long Term Behavior," Post-Print halshs-00673934, HAL.
    16. Grassi, Stefano & Santucci de Magistris, Paolo, 2014. "When long memory meets the Kalman filter: A comparative study," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 301-319.
    17. Richard T. Baillie & Fabio Calonaci & Dooyeon Cho & Seunghwa Rho, 2019. "Long Memory, Realized Volatility and HAR Models," Working Papers 881, Queen Mary University of London, School of Economics and Finance.
    18. D.S. Poskitt & Gael M. Martin & Simone D. Grose, 2012. "Bias Reduction of Long Memory Parameter Estimators via the Pre-filtered Sieve Bootstrap," Monash Econometrics and Business Statistics Working Papers 8/12, Monash University, Department of Econometrics and Business Statistics.
    19. Marcel Aloy & Gilles Dufrenot & Charles Lai-Tong & Anne Peguin-Feissolle, 2012. "A Smooth Transition Long-Memory Model," Working Papers halshs-00793680, HAL.
    20. Poskitt, D.S. & Grose, Simone D. & Martin, Gael M., 2015. "Higher-order improvements of the sieve bootstrap for fractionally integrated processes," Journal of Econometrics, Elsevier, vol. 188(1), pages 94-110.
    21. Beaumont, Paul & Smallwood, Aaron, 2019. "Inference for likelihood-based estimators of generalized long-memory processes," MPRA Paper 96313, University Library of Munich, Germany.
    22. Marcel Aloy & Gilles de Truchis, 2013. "Optimal Estimation Strategies for Bivariate Fractional Cointegration Systems," AMSE Working Papers 1353, Aix-Marseille School of Economics, France, revised 29 Oct 2013.
    23. Yushu Li, 2015. "Estimate Long Memory Causality Relationship by Wavelet Method," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 531-544, April.
    24. Aouad Hadjer, Soumia & Taouli, Mustapha Kamel & Benbouziane, Mohamed, 2012. "Modélisation du Comportement du Taux de Change du Dinar Algérien: Une Investigation Empirique par la Méthode ARFIMA [Modeling of the Algerian Dinar Exchange Rate: An empirical investigation using t," MPRA Paper 38605, University Library of Munich, Germany.
    25. Dominique Guegan & Zhiping Lu & BeiJia Zhu, 2012. "Comparaison of several estimation procedures for long term behavior," Documents de travail du Centre d'Economie de la Sorbonne 12008, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    26. Sophie Achard & Irène Gannaz, 2016. "Multivariate Wavelet Whittle Estimation in Long-range Dependence," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(4), pages 476-512, July.
    27. Frank S. Nielsen, 2008. "Local polynomial Whittle estimation covering non-stationary fractional processes," CREATES Research Papers 2008-28, Department of Economics and Business Economics, Aarhus University.
    28. Aaron Smallwood; Alex Maynard; Mark Wohar, 2005. "The Long and the Short of It: Long Memory Regressors and Predictive Regressions," Computing in Economics and Finance 2005 384, Society for Computational Economics.
    29. Uwe Hassler & Marc-Oliver Pohle, 2019. "Forecasting under Long Memory and Nonstationarity," Papers 1910.08202, arXiv.org.
    30. García-Enríquez, Javier & Hualde, Javier, 2019. "Local Whittle estimation of long memory: Standard versus bias-reducing techniques," Econometrics and Statistics, Elsevier, vol. 12(C), pages 66-77.
    31. Shuping Shi & Jun Yu, 2023. "Volatility Puzzle: Long Memory or Antipersistency," Management Science, INFORMS, vol. 69(7), pages 3861-3883, July.
    32. Richard T. Baillie & Dooyeon Cho & Seunghwa Rho, 2023. "Approximating long-memory processes with low-order autoregressions: Implications for modeling realized volatility," Empirical Economics, Springer, vol. 64(6), pages 2911-2937, June.

  58. Bent Jesper Christensen & Morten Ø. Nielsen, 2005. "The Implied-realized Volatility Relation With Jumps In Underlying Asset Prices," Working Paper 1186, Economics Department, Queen's University.

    Cited by:

    1. Bent Jesper Christensen & Morten Ø. Nielsen & Thomas Busch, 2006. "The Information Content Of Treasury Bond Options Concerning Future Volatility And Price Jumps," Working Paper 1188, Economics Department, Queen's University.
    2. Wing Hong Chan & Ranjini Jha & Madhu Kalimipalli, 2009. "The Economic Value Of Using Realized Volatility In Forecasting Future Implied Volatility," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 32(3), pages 231-259, September.
    3. Wilkens, Sascha & Roder, Klaus, 2006. "The informational content of option-implied distributions: Evidence from the Eurex index and interest rate futures options market," Global Finance Journal, Elsevier, vol. 17(1), pages 50-74, September.
    4. Busch, Thomas & Christensen, Bent Jesper & Nielsen, Morten Ørregaard, 2011. "The role of implied volatility in forecasting future realized volatility and jumps in foreign exchange, stock, and bond markets," Journal of Econometrics, Elsevier, vol. 160(1), pages 48-57, January.
    5. Bent Jesper Christensen & Morten Ø. Nielsen & Thomas Busch, 2005. "Forecasting Exchange Rate Volatility In The Presence Of Jumps," Working Paper 1187, Economics Department, Queen's University.

  59. Morten Ø. Nielsen & Per Houmann Frederiksen, 2005. "Finite Sample Accuracy Of Integrated Volatility Estimators," Working Paper 1225, Economics Department, Queen's University.

    Cited by:

    1. Renò, Roberto, 2008. "Nonparametric Estimation Of The Diffusion Coefficient Of Stochastic Volatility Models," Econometric Theory, Cambridge University Press, vol. 24(5), pages 1174-1206, October.
    2. Wang, Fangfang, 2014. "Optimal design of Fourier estimator in the presence of microstructure noise," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 708-722.
    3. Ole E. Barndorff-Nielsen & Neil Shephard, 2005. "Variation, jumps, market frictions and high frequency data in financial econometrics," Economics Papers 2005-W16, Economics Group, Nuffield College, University of Oxford.
    4. Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "A calibration procedure for analyzing stock price dynamics in an agent-based framework," FinMaP-Working Papers 26, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    5. Michael McAleer & Marcelo Cunha Medeiros, 2006. "Realized volatility: a review," Textos para discussão 531 Publication status: F, Department of Economics PUC-Rio (Brazil).
    6. Eduardo Rossi & Paolo Santucci de Magistris, 2014. "Estimation of Long Memory in Integrated Variance," Econometric Reviews, Taylor & Francis Journals, vol. 33(7), pages 785-814, October.
    7. Mancino, M.E. & Sanfelici, S., 2008. "Robustness of Fourier estimator of integrated volatility in the presence of microstructure noise," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 2966-2989, February.
    8. Curato, Imma Valentina & Mancino, Maria Elvira & Recchioni, Maria Cristina, 2018. "Spot volatility estimation using the Laplace transform," Econometrics and Statistics, Elsevier, vol. 6(C), pages 22-43.
    9. Torben G. Andersen & Tim Bollerslev & Per Houmann Frederiksen & Morten Ørregaard Nielsen, 2007. "Continuous-Time Models, Realized Volatilities, and Testable Distributional Implications for Daily Stock Returns," CREATES Research Papers 2007-21, Department of Economics and Business Economics, Aarhus University.
    10. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2005. "Roughing it Up: Including Jump Components in the Measurement, Modeling and Forecasting of Return Volatility," NBER Working Papers 11775, National Bureau of Economic Research, Inc.
    11. Fulvio Corsi & Roberto Renò, 2012. "Discrete-Time Volatility Forecasting With Persistent Leverage Effect and the Link With Continuous-Time Volatility Modeling," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 368-380, January.
    12. Matei, Marius, 2011. "Non-Linear Volatility Modeling of Economic and Financial Time Series Using High Frequency Data," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 116-141, June.
    13. S. Sanfelici & S. Ogawa, 2008. "An improved two-step regularization scheme for spot volatility estimation," Economics Department Working Papers 2008-ME02, Department of Economics, Parma University (Italy).
    14. A. Khalifa & S. Hammoudeh & E. Otranto & S. Ramchander, 2012. "Volatility Transmission across Currency, Commodity and Equity Markets under Multi-Chain Regime Switching: Implications for Hedging and Portfolio Allocation," Working Paper CRENoS 201214, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    15. Alva, Kenedy & Romo, Juan & Ruiz Ortega, Esther, 2009. "Modelling intra-daily volatility by functional data analysis: an empirical application to the spanish stock market," DES - Working Papers. Statistics and Econometrics. WS ws092809, Universidad Carlos III de Madrid. Departamento de Estadística.
    16. Bent Jesper Christensen & Morten Ørregaard Nielsen, 2007. "The Effect of Long Memory in Volatility on Stock Market Fluctuations," CREATES Research Papers 2007-03, Department of Economics and Business Economics, Aarhus University.
    17. Bent Jesper Christensen & Morten Ø. Nielsen, 2005. "The Implied-realized Volatility Relation With Jumps In Underlying Asset Prices," Working Paper 1186, Economics Department, Queen's University.
    18. Francis In & Sangbae Kim & Vijaya Marisetty & Robert Faff, 2008. "Analysing the performance of managed funds using the wavelet multiscaling method," Review of Quantitative Finance and Accounting, Springer, vol. 31(1), pages 55-70, July.
    19. Maria Cristina Recchioni & Gabriele Tedeschi, 2016. "From bond yield to macroeconomic instability: The effect of negative interest rates," Working Papers 2016/06, Economics Department, Universitat Jaume I, Castellón (Spain).
    20. Jozef Barunik & Lukas Vacha, 2012. "Realized wavelet-based estimation of integrated variance and jumps in the presence of noise," Papers 1202.1854, arXiv.org, revised Feb 2013.
    21. Ole E. Barndorff-Nielsen & Sven Erik Graversen & Jean Jacod & Neil Shephard, 2005. "Limit theorems for bipower variation in financial econometrics," Economics Papers 2005-W06, Economics Group, Nuffield College, University of Oxford.
    22. Ahmed A. A. Khalifa & Hong Miao & Sanjay Ramchander, 2011. "Return distributions and volatility forecasting in metal futures markets: Evidence from gold, silver, and copper," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(1), pages 55-80, January.

  60. Bent Jesper Christensen & Morten Ø. Nielsen & Thomas Busch, 2005. "Forecasting Exchange Rate Volatility In The Presence Of Jumps," Working Paper 1187, Economics Department, Queen's University.

    Cited by:

    1. Bent Jesper Christensen & Morten Ø. Nielsen & Thomas Busch, 2006. "The Information Content Of Treasury Bond Options Concerning Future Volatility And Price Jumps," Working Paper 1188, Economics Department, Queen's University.
    2. Chan, Kam Fong & Gray, Philip & van Campen, Bart, 2008. "A new approach to characterizing and forecasting electricity price volatility," International Journal of Forecasting, Elsevier, vol. 24(4), pages 728-743.
    3. Busch, Thomas & Christensen, Bent Jesper & Nielsen, Morten Ørregaard, 2011. "The role of implied volatility in forecasting future realized volatility and jumps in foreign exchange, stock, and bond markets," Journal of Econometrics, Elsevier, vol. 160(1), pages 48-57, January.
    4. Bunčák, Tomáš, 2013. "Jump Processes in Exchange Rates Modeling," MPRA Paper 49882, University Library of Munich, Germany.
    5. Tomáš Bunčák, 2016. "Exchange Rates Forecasting: Can Jump Models Combined with Macroeconomic Fundamentals Help?," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(5), pages 527-546.

  61. Haldrup; Niels & Morten Oerregaard Nielsen, 2005. "Directional Congestion and Regime Switching in a Long Memory Model for Electricity Prices," Economics Working Papers 2005-18, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Brusaferri, Alessandro & Matteucci, Matteo & Portolani, Pietro & Vitali, Andrea, 2019. "Bayesian deep learning based method for probabilistic forecast of day-ahead electricity prices," Applied Energy, Elsevier, vol. 250(C), pages 1158-1175.
    2. Hasan, Mudassar & Arif, Muhammad & Naeem, Muhammad Abubakr & Ngo, Quang-Thanh & Taghizadeh–Hesary, Farhad, 2021. "Time-frequency connectedness between Asian electricity sectors," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 208-224.
    3. Bent Jesper Christensen & Thomas Elgaard Jensen & Rune Mølgaard, 2007. "Market Power in Power Markets: Evidence from Forward Prices of Electricity," CREATES Research Papers 2007-30, Department of Economics and Business Economics, Aarhus University.
    4. Ohtsuka, Yoshihiro & Oga, Takashi & Kakamu, Kazuhiko, 2010. "Forecasting electricity demand in Japan: A Bayesian spatial autoregressive ARMA approach," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2721-2735, November.
    5. Lunina, Veronika, 2016. "Joint Modelling of Power Price, Temperature, and Hydrological Balance with a View towards Scenario Analysis," Working Papers 2016:30, Lund University, Department of Economics.
    6. João Pedro Pereira & Vasco Pesquita & Paulo M. M. Rodrigues & António Rua, 2019. "Market integration and the persistence of electricity prices," Empirical Economics, Springer, vol. 57(5), pages 1495-1514, November.
    7. Haldrup, Niels & Nielsen, Frank S. & Nielsen, Morten Ørregaard, 2010. "A vector autoregressive model for electricity prices subject to long memory and regime switching," Energy Economics, Elsevier, vol. 32(5), pages 1044-1058, September.
    8. Emawtee Bissoondoyal-Bheenick & Robert Brooks & Hung Do, 2023. "Asset allocation of Australian superannuation funds: a markov regime switching approach," Annals of Operations Research, Springer, vol. 330(1), pages 485-515, November.
    9. Matteo Manera & Massimiliano Serati & Michele Plotegher, 2008. "Modeling Electricity Prices: From the State of the Art to a Draft of a New Proposal," Working Papers 2008.9, Fondazione Eni Enrico Mattei.
    10. Wensheng Kang & Ronald A. Ratti & Kyung Hwan Yoon, 2015. "Time-varying effect of oil market shocks on the stock market," CAMA Working Papers 2015-35, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    11. Nazim Regnard & Jean‐Michel Zakoïan, 2010. "Structure and estimation of a class of nonstationary yet nonexplosive GARCH models," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(5), pages 348-364, September.
    12. Lisi, Francesco & Pelagatti, Matteo M., 2018. "Component estimation for electricity market data: Deterministic or stochastic?," Energy Economics, Elsevier, vol. 74(C), pages 13-37.
    13. BOUEZMARNI, Taoufik & ROMBOUTS, Jeroen V. K., 2006. "Nonparametric density estimation for positive time series," LIDAM Discussion Papers CORE 2006085, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    14. Marossy, Zita, 2011. "A villamos energia áralakulásának egy új modellje [A new model for price movement in electric power]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 253-274.
    15. Yuri Balagula, 2020. "Forecasting daily spot prices in the Russian electricity market with the ARFIMA model," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 57, pages 89-101.
    16. Marckhoff, Jan & Wimschulte, Jens, 2009. "Locational price spreads and the pricing of contracts for difference: Evidence from the Nordic market," Energy Economics, Elsevier, vol. 31(2), pages 257-268, March.
    17. Gilles de Truchis & Elena Ivona Dumitrescu, 2019. "Narrow-band Weighted Nonlinear Least Squares Estimation of Unbalanced Cointegration Systems," EconomiX Working Papers 2019-14, University of Paris Nanterre, EconomiX.
    18. Christensen, Troels Sønderby & Pircalabu, Anca & Høg, Esben, 2019. "A seasonal copula mixture for hedging the clean spark spread with wind power futures," Energy Economics, Elsevier, vol. 78(C), pages 64-80.
    19. Carlo Fezzi & Derek Bunn, 2010. "Structural Analysis of Electricity Demand and Supply Interactions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(6), pages 827-856, December.
    20. Pircalabu, A. & Benth, F.E., 2017. "A regime-switching copula approach to modeling day-ahead prices in coupled electricity markets," Energy Economics, Elsevier, vol. 68(C), pages 283-302.
    21. Xu, Weijun & Sun, Qi & Xiao, Weilin, 2012. "A new energy model to capture the behavior of energy price processes," Economic Modelling, Elsevier, vol. 29(5), pages 1585-1591.
    22. Jannik Kreye & Philipp Sibbertsen, 2024. "Testing for a Forecast Accuracy Breakdown under Long Memory," Papers 2409.07087, arXiv.org.
    23. Chi-Keung Woo, Ira Horowitz, Brian Horii, Ren Orans, and Jay Zarnikau, 2012. "Blowing in the Wind: Vanishing Payoffs of a Tolling Agreement for Natural-gas-fired Generation of Electricity in Texas," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    24. Canepa, Alessandra & Zanetti Chini, Emilio & Alqaralleh, Huthaifa, 2023. "Modelling and Forecasting Energy Market Cycles: A Generalized Smooth Transition Approach," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202318, University of Turin.
    25. Han, Lin & Kordzakhia, Nino & Trück, Stefan, 2020. "Volatility spillovers in Australian electricity markets," Energy Economics, Elsevier, vol. 90(C).
    26. Billé, Anna Gloria & Gianfreda, Angelica & Del Grosso, Filippo & Ravazzolo, Francesco, 2023. "Forecasting electricity prices with expert, linear, and nonlinear models," International Journal of Forecasting, Elsevier, vol. 39(2), pages 570-586.
    27. Serinaldi, Francesco, 2011. "Distributional modeling and short-term forecasting of electricity prices by Generalized Additive Models for Location, Scale and Shape," Energy Economics, Elsevier, vol. 33(6), pages 1216-1226.
    28. Zarnikau, J. & Tsai, C.H. & Woo, C.K., 2020. "Determinants of the wholesale prices of energy and ancillary services in the U.S. Midcontinent electricity market," Energy, Elsevier, vol. 195(C).
    29. Hosius, Emil & Seebaß, Johann V. & Wacker, Benjamin & Schlüter, Jan Chr., 2023. "The impact of offshore wind energy on Northern European wholesale electricity prices," Applied Energy, Elsevier, vol. 341(C).
    30. K. Zhang & K. Teo & M. Swartz, 2014. "A Robust Numerical Scheme For Pricing American Options Under Regime Switching Based On Penalty Method," Computational Economics, Springer;Society for Computational Economics, vol. 43(4), pages 463-483, April.
    31. Leschinski, Christian & Sibbertsen, Philipp, 2014. "Model Order Selection in Seasonal/Cyclical Long Memory Models," Hannover Economic Papers (HEP) dp-535, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    32. Frömmel, Michael & Han, Xing & Kratochvil, Stepan, 2014. "Modeling the daily electricity price volatility with realized measures," Energy Economics, Elsevier, vol. 44(C), pages 492-502.
    33. Zarnikau, J. & Woo, C.K. & Zhu, S. & Tsai, C.H., 2019. "Market price behavior of wholesale electricity products: Texas," Energy Policy, Elsevier, vol. 125(C), pages 418-428.
    34. Yan, Guan & Trück, Stefan, 2020. "A dynamic network analysis of spot electricity prices in the Australian national electricity market," Energy Economics, Elsevier, vol. 92(C).
    35. Fleten, Stein-Erik & Kristoffersen, Trine Krogh, 2007. "Stochastic programming for optimizing bidding strategies of a Nordic hydropower producer," European Journal of Operational Research, Elsevier, vol. 181(2), pages 916-928, September.
    36. Morten Ø. Nielsen & Per Houmann Frederiksen, 2008. "Fully Modified Narrow-band Least Squares Estimation Of Stationary Fractional Cointegration," Working Paper 1171, Economics Department, Queen's University.
    37. Eichler, M. & Türk, D., 2013. "Fitting semiparametric Markov regime-switching models to electricity spot prices," Energy Economics, Elsevier, vol. 36(C), pages 614-624.
    38. Mosquera-López, Stephanía & Uribe, Jorge M. & Manotas-Duque, Diego F., 2018. "Effect of stopping hydroelectric power generation on the dynamics of electricity prices: An event study approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 456-467.
    39. René Aïd & Luciano Campi & Liangchen Li & Mike Ludkovski, 2021. "An Impulse-Regime Switching Game Model of Vertical Competition," Dynamic Games and Applications, Springer, vol. 11(4), pages 631-669, December.
    40. Martin-Valmayor, Miguel A. & Gil-Alana, Luis A. & Infante, Juan, 2023. "Energy prices in Europe. Evidence of persistence across markets," Resources Policy, Elsevier, vol. 82(C).
    41. Luigi Grossi & Fany Nan, 2017. "Forecasting electricity prices through robust nonlinear models," Working Papers 06/2017, University of Verona, Department of Economics.
    42. Machin, S. & Marie, O. & Vujic, S., 2012. "Youth crime and education expansion," Research Memorandum 036, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    43. Bosco, Bruno & Parisio, Lucia & Pelagatti, Matteo & Baldi, Fabio, 2007. "A Robust Multivariate Long Run Analysis of European Electricity Prices," International Energy Markets Working Papers 7438, Fondazione Eni Enrico Mattei (FEEM).
    44. de Menezes, Lilian M. & Houllier, Melanie A. & Tamvakis, Michael, 2016. "Time-varying convergence in European electricity spot markets and their association with carbon and fuel prices," Energy Policy, Elsevier, vol. 88(C), pages 613-627.
    45. Panagiotelis, Anastasios & Smith, Michael, 2008. "Bayesian density forecasting of intraday electricity prices using multivariate skew t distributions," International Journal of Forecasting, Elsevier, vol. 24(4), pages 710-727.
    46. Woo, C.K. & Sreedharan, P. & Hargreaves, J. & Kahrl, F. & Wang, J. & Horowitz, I., 2014. "A review of electricity product differentiation," Applied Energy, Elsevier, vol. 114(C), pages 262-272.
    47. Ioannidis, Filippos & Kosmidou, Kyriaki & Savva, Christos & Theodossiou, Panayiotis, 2021. "Electricity pricing using a periodic GARCH model with conditional skewness and kurtosis components," Energy Economics, Elsevier, vol. 95(C).
    48. Massimiliano Caporin & Rangan Gupta, 2017. "Time-varying persistence in US inflation," Empirical Economics, Springer, vol. 53(2), pages 423-439, September.
    49. Ergemen, Yunus Emre & Rodríguez-Caballero, C. Vladimir, 2023. "Estimation of a dynamic multi-level factor model with possible long-range dependence," International Journal of Forecasting, Elsevier, vol. 39(1), pages 405-430.
    50. Woo, C.K. & Chen, Y. & Olson, A. & Moore, J. & Schlag, N. & Ong, A. & Ho, T., 2017. "Electricity price behavior and carbon trading: New evidence from California," Applied Energy, Elsevier, vol. 204(C), pages 531-543.
    51. Dark, Jonathan, 2024. "An adaptive long memory conditional correlation model," Journal of Empirical Finance, Elsevier, vol. 75(C).
    52. Dark, Jonathan, 2015. "Futures hedging with Markov switching vector error correction FIEGARCH and FIAPARCH," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 269-285.
    53. Michael Stanley Smith & Thomas S. Shively, 2018. "Econometric Modeling of Regional Electricity Spot Prices in the Australian Market," Papers 1804.08218, arXiv.org.
    54. Martin de Lagarde, Cyril & Lantz, Frédéric, 2018. "How renewable production depresses electricity prices: Evidence from the German market," Energy Policy, Elsevier, vol. 117(C), pages 263-277.
    55. Roueff, François & von Sachs, Rainer, 2011. "Locally stationary long memory estimation," Stochastic Processes and their Applications, Elsevier, vol. 121(4), pages 813-844, April.
    56. Juan M. Gómez & Yeny E. Rodríguez, 2022. "Multiperiod Portfolio of Energy Purchasing Strategies including Climate Scenarios," Energies, MDPI, vol. 15(9), pages 1-25, April.
    57. Lucia, Julio J. & Torró, Hipòlit, 2011. "On the risk premium in Nordic electricity futures prices," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 750-763, October.
    58. Niels Haldrup & Oskar Knapik & Tommaso Proietti, 2016. "A generalized exponential time series regression model for electricity prices," CREATES Research Papers 2016-08, Department of Economics and Business Economics, Aarhus University.
    59. Michel Culot & Valérie Goffin & Steve Lawford & Sébastien de Meten & Yves Smeers, 2013. "Practical stochastic modelling of electricity prices," Post-Print hal-01021603, HAL.
    60. Bruno Bosco & Lucia Parisio & Matteo Pelagatti & Fabio Baldi, 2010. "Long-run relations in european electricity prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 805-832.
    61. Lin, Shih-Kuei & Lin, Chien-Hsiu & Chuang, Ming-Che & Chou, Chia-Yu, 2014. "A recursive formula for a participating contract embedding a surrender option under regime-switching model with jump risks: Evidence from stock indices," Economic Modelling, Elsevier, vol. 38(C), pages 341-350.
    62. Pierret, D., 2013. "The systemic risk of energy markets," LIDAM Discussion Papers ISBA 2013061, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    63. Angelica Gianfreda & Derek Bunn, 2018. "A Stochastic Latent Moment Model for Electricity Price Formation," BEMPS - Bozen Economics & Management Paper Series BEMPS46, Faculty of Economics and Management at the Free University of Bozen.
    64. Streimikiene, Dalia & Siksnelyte, Indre, 2016. "Sustainability assessment of electricity market models in selected developed world countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 72-82.
    65. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, March.
    66. Bauwens, Luc & Hafner, Christian M. & Pierret, Diane, 2011. "Multivariate volatility modeling of electricity futures," SFB 649 Discussion Papers 2011-063, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    67. Levy, Moshe & Kaplanski, Guy, 2015. "Portfolio selection in a two-regime world," European Journal of Operational Research, Elsevier, vol. 242(2), pages 514-524.
    68. Joanna Janczura, 2014. "Pricing electricity derivatives within a Markov regime-switching model: a risk premium approach," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 79(1), pages 1-30, February.
    69. Gao, Guangyuan & Ho, Kin-Yip & Shi, Yanlin, 2020. "Long memory or regime switching in volatility? Evidence from high-frequency returns on the U.S. stock indices," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    70. Spodniak, Petr & Collan, Mikael, 2018. "Forward risk premia in long-term transmission rights: The case of electricity price area differentials (EPAD) in the Nordic electricity market," Utilities Policy, Elsevier, vol. 50(C), pages 194-206.
    71. Tanrisever, Fehmi & Derinkuyu, Kursad & Jongen, Geert, 2015. "Organization and functioning of liberalized electricity markets: An overview of the Dutch market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1363-1374.
    72. Kuswanto, Heri & Sibbertsen, Philipp, 2009. "Testing for Long Memory Against ESTAR Nonlinearities," Hannover Economic Papers (HEP) dp-427, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    73. Melanie Houllier & Lilian M. De Menezes & Michael Tamvakis, 2014. "Time Varying Long Run Dynamics And Convergence In The Uk Energy Market," EcoMod2014 6970, EcoMod.
    74. Shi, Yanlin & Ho, Kin-Yip, 2015. "Long memory and regime switching: A simulation study on the Markov regime-switching ARFIMA model," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 189-204.
    75. Eduardo Faria & Stein-Erik Fleten, 2011. "Day-ahead market bidding for a Nordic hydropower producer: taking the Elbas market into account," Computational Management Science, Springer, vol. 8(1), pages 75-101, April.
    76. Rafal Weron, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," HSC Research Reports HSC/14/07, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    77. Perrels, Adriaan & Honkatukia, Juha & Mälkönen, Ville, 2006. "Impacts of the European Emission Trade System on Finnish Wholesale Electricity Prices," Discussion Papers 405, VATT Institute for Economic Research.
    78. Luigi Grossi & Fany Nan, 2018. "The influence of renewables on electricity price forecasting: a robust approach," Working Papers 2018/10, Institut d'Economia de Barcelona (IEB).
    79. Contreras, Javier & Rodríguez, Yeny E. & Sosa, Aníbal, 2017. "Construction of an efficient portfolio of power purchase decisions based on risk-diversification tradeoff," Energy Economics, Elsevier, vol. 64(C), pages 286-297.
    80. Beylunioğlu Fuat C. & Stengos Thanasis & Yazgan M. Ege, 2018. "Regime switching with structural breaks in output convergence," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(3), pages 1-17, June.
    81. Higgs, Helen, 2009. "Modelling price and volatility inter-relationships in the Australian wholesale spot electricity markets," Energy Economics, Elsevier, vol. 31(5), pages 748-756, September.
    82. Zachmann, Georg, 2013. "A stochastic fuel switching model for electricity prices," Energy Economics, Elsevier, vol. 35(C), pages 5-13.
    83. Eichler, M. & Türk, D.D.T., 2012. "Fitting semiparametric Markov regime-switching models to electricity spot prices," Research Memorandum 035, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    84. Yanlin Shi, 2023. "Long memory and regime switching in the stochastic volatility modelling," Annals of Operations Research, Springer, vol. 320(2), pages 999-1020, January.
    85. Woo, C.K. & Zarnikau, J. & Moore, J. & Horowitz, I., 2011. "Wind generation and zonal-market price divergence: Evidence from Texas," Energy Policy, Elsevier, vol. 39(7), pages 3928-3938, July.
    86. Boomsma, Trine Krogh & Juul, Nina & Fleten, Stein-Erik, 2014. "Bidding in sequential electricity markets: The Nordic case," European Journal of Operational Research, Elsevier, vol. 238(3), pages 797-809.
    87. Robinson Kruse & Christoph Wegener, 2019. "Explosive behaviour and long memory with an application to European bond yield spreads," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 139-153, February.
    88. Mehmet Balcilar & Rangan Gupta & Charl Jooste, 2014. "Analysing South Africa's Inflation Persistence Using an ARFIMA Model with Markov-Switching Fractional Differencing Parameter," Working Papers 201440, University of Pretoria, Department of Economics.
    89. Yunus Emre Ergemen & Niels Haldrup & Carlos Vladimir Rodríguez-Caballero, 2015. "Common long-range dependence in a panel of hourly Nord Pool electricity prices and loads," CREATES Research Papers 2015-58, Department of Economics and Business Economics, Aarhus University.
    90. Cao, K.H. & Qi, H.S. & Tsai, C.H. & Woo, C.K. & Zarnikau, J., 2021. "Energy trading efficiency in the US Midcontinent electricity markets," Applied Energy, Elsevier, vol. 302(C).
    91. Woo, C.K. & Moore, J. & Schneiderman, B. & Ho, T. & Olson, A. & Alagappan, L. & Chawla, K. & Toyama, N. & Zarnikau, J., 2016. "Merit-order effects of renewable energy and price divergence in California’s day-ahead and real-time electricity markets," Energy Policy, Elsevier, vol. 92(C), pages 299-312.
    92. Chi-Keung Woo, Ira Horowitz, Jay Zarnikau, Jack Moore, Brendan Schneiderman, Tony Ho, and Eric Leung, 2016. "What Moves the Ex Post Variable Profit of Natural-Gas-Fired Generation in California?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    93. Antoine Ferré & Guillaume de Certaines & Jérôme Cazelles & Tancrède Cohet & Arash Farnoosh & Frédéric Lantz, 2021. "Short-term electricity price forecastingmodels comparative analysis : Machine Learning vs. Econometrics," Working Papers hal-03262208, HAL.
    94. Rafal Weron, 2006. "Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach," HSC Books, Hugo Steinhaus Center, Wroclaw University of Science and Technology, number hsbook0601, December.
    95. Do, Hung Xuan & Brooks, Robert & Treepongkaruna, Sirimon & Wu, Eliza, 2014. "The effects of sovereign rating drifts on financial return distributions: Evidence from the European Union," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 5-20.
    96. James Wesley Burnett & Xueting Zhao, 2017. "Spatially Explicit Prediction of Wholesale Electricity Prices," International Regional Science Review, , vol. 40(2), pages 99-140, March.
    97. Gilles de Truchis & Florent Dubois & Elena Ivona Dumitrescu, 2019. "Local Whittle Analysis of Stationary Unbalanced Fractional Cointegration Systems," Working Papers hal-04141882, HAL.
    98. Per B. Solibakke, 2022. "Step‐ahead spot price densities using daily synchronously reported prices and wind forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 17-42, January.
    99. Grossi, Luigi & Nan, Fany, 2019. "Robust forecasting of electricity prices: Simulations, models and the impact of renewable sources," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 305-318.
    100. Carlo Fezzi & Luca Mosetti, 2020. "Size Matters: Estimation Sample Length and Electricity Price Forecasting Accuracy," The Energy Journal, , vol. 41(4), pages 231-254, July.
    101. Sapio, Alessandro, 2015. "The effects of renewables in space and time: A regime switching model of the Italian power price," Energy Policy, Elsevier, vol. 85(C), pages 487-499.
    102. Duván Humberto Cataño & Carlos Vladimir Rodríguez-Caballero & Daniel Peña, 2019. "Wavelet Estimation for Dynamic Factor Models with Time-Varying Loadings," CREATES Research Papers 2019-23, Department of Economics and Business Economics, Aarhus University.
    103. Lau, Chi Keung Marco & Wojewodzki, Michal & Dai, Xingyu & Wang, Qunwei, 2025. "Detecting the macro drivers in the Australian National Electricity Market asymmetric volatility co-movement," Energy Economics, Elsevier, vol. 143(C).
    104. Yunus Emre Ergemen & Carlos Vladimir Rodríguez-Caballero, 2016. "A Dynamic Multi-Level Factor Model with Long-Range Dependence," CREATES Research Papers 2016-23, Department of Economics and Business Economics, Aarhus University.
    105. Lindström, Erik & Regland, Fredrik, 2012. "Modeling extreme dependence between European electricity markets," Energy Economics, Elsevier, vol. 34(4), pages 899-904.
    106. Fan, Kun & Shen, Yang & Siu, Tak Kuen & Wang, Rongming, 2015. "Valuing commodity options and futures options with changing economic conditions," Economic Modelling, Elsevier, vol. 51(C), pages 524-533.
    107. Najeh Chaâbane, 2014. "A novel auto-regressive fractionally integrated moving average--least-squares support vector machine model for electricity spot prices prediction," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(3), pages 635-651, March.
    108. Lin Han & Ivor Cribben & Stefan Trueck, 2022. "Extremal Dependence in Australian Electricity Markets," Papers 2202.09970, arXiv.org.
    109. Ruoyang Li & Alva Svoboda & Shmuel Oren, 2015. "Efficiency impact of convergence bidding in the california electricity market," Journal of Regulatory Economics, Springer, vol. 48(3), pages 245-284, December.
    110. Gianfreda, Angelica & Grossi, Luigi, 2012. "Forecasting Italian electricity zonal prices with exogenous variables," Energy Economics, Elsevier, vol. 34(6), pages 2228-2239.
    111. Leschinski, Christian & Sibbertsen, Philipp, 2019. "Model order selection in periodic long memory models," Econometrics and Statistics, Elsevier, vol. 9(C), pages 78-94.
    112. Gaurav Kapoor & Nuttanan Wichitaksorn & Wenjun Zhang, 2023. "Analyzing and forecasting electricity price using regime‐switching models: The case of New Zealand market," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2011-2026, December.
    113. Lo Prete, Chiara & Norman, Catherine S., 2013. "Rockets and feathers in power futures markets? Evidence from the second phase of the EU ETS," Energy Economics, Elsevier, vol. 36(C), pages 312-321.
    114. Haldrup Niels & Nielsen Morten Ø., 2006. "Directional Congestion and Regime Switching in a Long Memory Model for Electricity Prices," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(3), pages 1-24, September.
    115. Szymon Wlazlowski & Monica Giulietti & Jane Binner & Costas Milas, 2008. "Smooth Transition Models in Price Transmission," Working Paper series 04_08, Rimini Centre for Economic Analysis.
    116. Contreras, Javier & Rodríguez, Yeny E., 2014. "GARCH-based put option valuation to maximize benefit of wind investors," Applied Energy, Elsevier, vol. 136(C), pages 259-268.
    117. Erik Lindström & Fredric Regland, 2012. "Independent Spike Models: Estimation and Validation," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(2), pages 180-196, May.
    118. Härdle, Wolfgang Karl & Trück, Stefan, 2010. "The dynamics of hourly electricity prices," SFB 649 Discussion Papers 2010-013, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    119. Duan, Kun & Gao, Yang & Mishra, Tapas & Satchell, Stephen, 2023. "Efficiency dynamics across segmented Bitcoin Markets: Evidence from a decomposition strategy," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
    120. Figueiredo, Nuno Carvalho & Silva, Patrícia Pereira da & Cerqueira, Pedro A., 2016. "It is windy in Denmark: Does market integration suffer?," Energy, Elsevier, vol. 115(P2), pages 1385-1399.
    121. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.
    122. Joanna Janczura, 2012. "Pricing electricity derivatives within a Markov regime-switching model," Papers 1203.5442, arXiv.org.
    123. Sapio, Alessandro & Spagnolo, Nicola, 2016. "Price regimes in an energy island: Tacit collusion vs. cost and network explanations," Energy Economics, Elsevier, vol. 55(C), pages 157-172.

  62. Niels Haldrup & Morten O. Nielsen, 2004. "A Regime Switching Long Memory Model for Electricity Prices," Economics Working Papers 2004-2, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Brusaferri, Alessandro & Matteucci, Matteo & Portolani, Pietro & Vitali, Andrea, 2019. "Bayesian deep learning based method for probabilistic forecast of day-ahead electricity prices," Applied Energy, Elsevier, vol. 250(C), pages 1158-1175.
    2. Hasan, Mudassar & Arif, Muhammad & Naeem, Muhammad Abubakr & Ngo, Quang-Thanh & Taghizadeh–Hesary, Farhad, 2021. "Time-frequency connectedness between Asian electricity sectors," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 208-224.
    3. Bent Jesper Christensen & Thomas Elgaard Jensen & Rune Mølgaard, 2007. "Market Power in Power Markets: Evidence from Forward Prices of Electricity," CREATES Research Papers 2007-30, Department of Economics and Business Economics, Aarhus University.
    4. Ohtsuka, Yoshihiro & Oga, Takashi & Kakamu, Kazuhiko, 2010. "Forecasting electricity demand in Japan: A Bayesian spatial autoregressive ARMA approach," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2721-2735, November.
    5. Lunina, Veronika, 2016. "Joint Modelling of Power Price, Temperature, and Hydrological Balance with a View towards Scenario Analysis," Working Papers 2016:30, Lund University, Department of Economics.
    6. João Pedro Pereira & Vasco Pesquita & Paulo M. M. Rodrigues & António Rua, 2019. "Market integration and the persistence of electricity prices," Empirical Economics, Springer, vol. 57(5), pages 1495-1514, November.
    7. Haldrup, Niels & Nielsen, Frank S. & Nielsen, Morten Ørregaard, 2010. "A vector autoregressive model for electricity prices subject to long memory and regime switching," Energy Economics, Elsevier, vol. 32(5), pages 1044-1058, September.
    8. Emawtee Bissoondoyal-Bheenick & Robert Brooks & Hung Do, 2023. "Asset allocation of Australian superannuation funds: a markov regime switching approach," Annals of Operations Research, Springer, vol. 330(1), pages 485-515, November.
    9. Matteo Manera & Massimiliano Serati & Michele Plotegher, 2008. "Modeling Electricity Prices: From the State of the Art to a Draft of a New Proposal," Working Papers 2008.9, Fondazione Eni Enrico Mattei.
    10. Wensheng Kang & Ronald A. Ratti & Kyung Hwan Yoon, 2015. "Time-varying effect of oil market shocks on the stock market," CAMA Working Papers 2015-35, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    11. Nazim Regnard & Jean‐Michel Zakoïan, 2010. "Structure and estimation of a class of nonstationary yet nonexplosive GARCH models," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(5), pages 348-364, September.
    12. Lisi, Francesco & Pelagatti, Matteo M., 2018. "Component estimation for electricity market data: Deterministic or stochastic?," Energy Economics, Elsevier, vol. 74(C), pages 13-37.
    13. BOUEZMARNI, Taoufik & ROMBOUTS, Jeroen V. K., 2006. "Nonparametric density estimation for positive time series," LIDAM Discussion Papers CORE 2006085, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    14. Marossy, Zita, 2011. "A villamos energia áralakulásának egy új modellje [A new model for price movement in electric power]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 253-274.
    15. Yuri Balagula, 2020. "Forecasting daily spot prices in the Russian electricity market with the ARFIMA model," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 57, pages 89-101.
    16. Marckhoff, Jan & Wimschulte, Jens, 2009. "Locational price spreads and the pricing of contracts for difference: Evidence from the Nordic market," Energy Economics, Elsevier, vol. 31(2), pages 257-268, March.
    17. Gilles de Truchis & Elena Ivona Dumitrescu, 2019. "Narrow-band Weighted Nonlinear Least Squares Estimation of Unbalanced Cointegration Systems," EconomiX Working Papers 2019-14, University of Paris Nanterre, EconomiX.
    18. Christensen, Troels Sønderby & Pircalabu, Anca & Høg, Esben, 2019. "A seasonal copula mixture for hedging the clean spark spread with wind power futures," Energy Economics, Elsevier, vol. 78(C), pages 64-80.
    19. Carlo Fezzi & Derek Bunn, 2010. "Structural Analysis of Electricity Demand and Supply Interactions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(6), pages 827-856, December.
    20. Pircalabu, A. & Benth, F.E., 2017. "A regime-switching copula approach to modeling day-ahead prices in coupled electricity markets," Energy Economics, Elsevier, vol. 68(C), pages 283-302.
    21. Xu, Weijun & Sun, Qi & Xiao, Weilin, 2012. "A new energy model to capture the behavior of energy price processes," Economic Modelling, Elsevier, vol. 29(5), pages 1585-1591.
    22. Jannik Kreye & Philipp Sibbertsen, 2024. "Testing for a Forecast Accuracy Breakdown under Long Memory," Papers 2409.07087, arXiv.org.
    23. Chi-Keung Woo, Ira Horowitz, Brian Horii, Ren Orans, and Jay Zarnikau, 2012. "Blowing in the Wind: Vanishing Payoffs of a Tolling Agreement for Natural-gas-fired Generation of Electricity in Texas," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    24. Canepa, Alessandra & Zanetti Chini, Emilio & Alqaralleh, Huthaifa, 2023. "Modelling and Forecasting Energy Market Cycles: A Generalized Smooth Transition Approach," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202318, University of Turin.
    25. Han, Lin & Kordzakhia, Nino & Trück, Stefan, 2020. "Volatility spillovers in Australian electricity markets," Energy Economics, Elsevier, vol. 90(C).
    26. Billé, Anna Gloria & Gianfreda, Angelica & Del Grosso, Filippo & Ravazzolo, Francesco, 2023. "Forecasting electricity prices with expert, linear, and nonlinear models," International Journal of Forecasting, Elsevier, vol. 39(2), pages 570-586.
    27. Serinaldi, Francesco, 2011. "Distributional modeling and short-term forecasting of electricity prices by Generalized Additive Models for Location, Scale and Shape," Energy Economics, Elsevier, vol. 33(6), pages 1216-1226.
    28. Zarnikau, J. & Tsai, C.H. & Woo, C.K., 2020. "Determinants of the wholesale prices of energy and ancillary services in the U.S. Midcontinent electricity market," Energy, Elsevier, vol. 195(C).
    29. Hosius, Emil & Seebaß, Johann V. & Wacker, Benjamin & Schlüter, Jan Chr., 2023. "The impact of offshore wind energy on Northern European wholesale electricity prices," Applied Energy, Elsevier, vol. 341(C).
    30. K. Zhang & K. Teo & M. Swartz, 2014. "A Robust Numerical Scheme For Pricing American Options Under Regime Switching Based On Penalty Method," Computational Economics, Springer;Society for Computational Economics, vol. 43(4), pages 463-483, April.
    31. Woo, C.K. & Shiu, A. & Liu, Y. & Luo, X. & Zarnikau, J., 2018. "Consumption effects of an electricity decarbonization policy: Hong Kong," Energy, Elsevier, vol. 144(C), pages 887-902.
    32. Leschinski, Christian & Sibbertsen, Philipp, 2014. "Model Order Selection in Seasonal/Cyclical Long Memory Models," Hannover Economic Papers (HEP) dp-535, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    33. Frömmel, Michael & Han, Xing & Kratochvil, Stepan, 2014. "Modeling the daily electricity price volatility with realized measures," Energy Economics, Elsevier, vol. 44(C), pages 492-502.
    34. Zarnikau, J. & Woo, C.K. & Zhu, S. & Tsai, C.H., 2019. "Market price behavior of wholesale electricity products: Texas," Energy Policy, Elsevier, vol. 125(C), pages 418-428.
    35. Yan, Guan & Trück, Stefan, 2020. "A dynamic network analysis of spot electricity prices in the Australian national electricity market," Energy Economics, Elsevier, vol. 92(C).
    36. Fleten, Stein-Erik & Kristoffersen, Trine Krogh, 2007. "Stochastic programming for optimizing bidding strategies of a Nordic hydropower producer," European Journal of Operational Research, Elsevier, vol. 181(2), pages 916-928, September.
    37. Morten Ø. Nielsen & Per Houmann Frederiksen, 2008. "Fully Modified Narrow-band Least Squares Estimation Of Stationary Fractional Cointegration," Working Paper 1171, Economics Department, Queen's University.
    38. Eichler, M. & Türk, D., 2013. "Fitting semiparametric Markov regime-switching models to electricity spot prices," Energy Economics, Elsevier, vol. 36(C), pages 614-624.
    39. Mosquera-López, Stephanía & Uribe, Jorge M. & Manotas-Duque, Diego F., 2018. "Effect of stopping hydroelectric power generation on the dynamics of electricity prices: An event study approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 456-467.
    40. René Aïd & Luciano Campi & Liangchen Li & Mike Ludkovski, 2021. "An Impulse-Regime Switching Game Model of Vertical Competition," Dynamic Games and Applications, Springer, vol. 11(4), pages 631-669, December.
    41. Martin-Valmayor, Miguel A. & Gil-Alana, Luis A. & Infante, Juan, 2023. "Energy prices in Europe. Evidence of persistence across markets," Resources Policy, Elsevier, vol. 82(C).
    42. Luigi Grossi & Fany Nan, 2017. "Forecasting electricity prices through robust nonlinear models," Working Papers 06/2017, University of Verona, Department of Economics.
    43. Machin, S. & Marie, O. & Vujic, S., 2012. "Youth crime and education expansion," Research Memorandum 036, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    44. Bosco, Bruno & Parisio, Lucia & Pelagatti, Matteo & Baldi, Fabio, 2007. "A Robust Multivariate Long Run Analysis of European Electricity Prices," International Energy Markets Working Papers 7438, Fondazione Eni Enrico Mattei (FEEM).
    45. de Menezes, Lilian M. & Houllier, Melanie A. & Tamvakis, Michael, 2016. "Time-varying convergence in European electricity spot markets and their association with carbon and fuel prices," Energy Policy, Elsevier, vol. 88(C), pages 613-627.
    46. Panagiotelis, Anastasios & Smith, Michael, 2008. "Bayesian density forecasting of intraday electricity prices using multivariate skew t distributions," International Journal of Forecasting, Elsevier, vol. 24(4), pages 710-727.
    47. Carlo Fezzi & Luca Mosetti, 2018. "Size matters: Estimation sample length and electricity price forecasting accuracy," DEM Working Papers 2018/10, Department of Economics and Management.
    48. Woo, C.K. & Sreedharan, P. & Hargreaves, J. & Kahrl, F. & Wang, J. & Horowitz, I., 2014. "A review of electricity product differentiation," Applied Energy, Elsevier, vol. 114(C), pages 262-272.
    49. Ioannidis, Filippos & Kosmidou, Kyriaki & Savva, Christos & Theodossiou, Panayiotis, 2021. "Electricity pricing using a periodic GARCH model with conditional skewness and kurtosis components," Energy Economics, Elsevier, vol. 95(C).
    50. Massimiliano Caporin & Rangan Gupta, 2017. "Time-varying persistence in US inflation," Empirical Economics, Springer, vol. 53(2), pages 423-439, September.
    51. Ergemen, Yunus Emre & Rodríguez-Caballero, C. Vladimir, 2023. "Estimation of a dynamic multi-level factor model with possible long-range dependence," International Journal of Forecasting, Elsevier, vol. 39(1), pages 405-430.
    52. Woo, C.K. & Chen, Y. & Olson, A. & Moore, J. & Schlag, N. & Ong, A. & Ho, T., 2017. "Electricity price behavior and carbon trading: New evidence from California," Applied Energy, Elsevier, vol. 204(C), pages 531-543.
    53. Dark, Jonathan, 2015. "Futures hedging with Markov switching vector error correction FIEGARCH and FIAPARCH," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 269-285.
    54. Hipòlit Torró & Julio Lucia, 2008. "Short-term electricity futures prices: Evidence on the time-varying risk premium," Working Papers. Serie EC 2008-08, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    55. Michael Stanley Smith & Thomas S. Shively, 2018. "Econometric Modeling of Regional Electricity Spot Prices in the Australian Market," Papers 1804.08218, arXiv.org.
    56. Martin de Lagarde, Cyril & Lantz, Frédéric, 2018. "How renewable production depresses electricity prices: Evidence from the German market," Energy Policy, Elsevier, vol. 117(C), pages 263-277.
    57. Roueff, François & von Sachs, Rainer, 2011. "Locally stationary long memory estimation," Stochastic Processes and their Applications, Elsevier, vol. 121(4), pages 813-844, April.
    58. Juan M. Gómez & Yeny E. Rodríguez, 2022. "Multiperiod Portfolio of Energy Purchasing Strategies including Climate Scenarios," Energies, MDPI, vol. 15(9), pages 1-25, April.
    59. Lucia, Julio J. & Torró, Hipòlit, 2011. "On the risk premium in Nordic electricity futures prices," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 750-763, October.
    60. Niels Haldrup & Oskar Knapik & Tommaso Proietti, 2016. "A generalized exponential time series regression model for electricity prices," CREATES Research Papers 2016-08, Department of Economics and Business Economics, Aarhus University.
    61. Michel Culot & Valérie Goffin & Steve Lawford & Sébastien de Meten & Yves Smeers, 2013. "Practical stochastic modelling of electricity prices," Post-Print hal-01021603, HAL.
    62. Bruno Bosco & Lucia Parisio & Matteo Pelagatti & Fabio Baldi, 2010. "Long-run relations in european electricity prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 805-832.
    63. Lin, Shih-Kuei & Lin, Chien-Hsiu & Chuang, Ming-Che & Chou, Chia-Yu, 2014. "A recursive formula for a participating contract embedding a surrender option under regime-switching model with jump risks: Evidence from stock indices," Economic Modelling, Elsevier, vol. 38(C), pages 341-350.
    64. Pierret, D., 2013. "The systemic risk of energy markets," LIDAM Discussion Papers ISBA 2013061, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    65. Angelica Gianfreda & Derek Bunn, 2018. "A Stochastic Latent Moment Model for Electricity Price Formation," BEMPS - Bozen Economics & Management Paper Series BEMPS46, Faculty of Economics and Management at the Free University of Bozen.
    66. Haldrup; Niels & Morten Oerregaard Nielsen, 2005. "Directional Congestion and Regime Switching in a Long Memory Model for Electricity Prices," Economics Working Papers 2005-18, Department of Economics and Business Economics, Aarhus University.
    67. Streimikiene, Dalia & Siksnelyte, Indre, 2016. "Sustainability assessment of electricity market models in selected developed world countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 72-82.
    68. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, March.
    69. Bauwens, Luc & Hafner, Christian M. & Pierret, Diane, 2011. "Multivariate volatility modeling of electricity futures," SFB 649 Discussion Papers 2011-063, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    70. Siem Jan Koopman & Marius Ooms & M. Angeles Carnero, 2005. "Periodic Seasonal Reg-ARFIMA-GARCH Models for Daily Electricity Spot Prices," Tinbergen Institute Discussion Papers 05-091/4, Tinbergen Institute.
    71. Levy, Moshe & Kaplanski, Guy, 2015. "Portfolio selection in a two-regime world," European Journal of Operational Research, Elsevier, vol. 242(2), pages 514-524.
    72. Joanna Janczura, 2014. "Pricing electricity derivatives within a Markov regime-switching model: a risk premium approach," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 79(1), pages 1-30, February.
    73. Misiorek Adam & Trueck Stefan & Weron Rafal, 2006. "Point and Interval Forecasting of Spot Electricity Prices: Linear vs. Non-Linear Time Series Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(3), pages 1-36, September.
    74. Gao, Guangyuan & Ho, Kin-Yip & Shi, Yanlin, 2020. "Long memory or regime switching in volatility? Evidence from high-frequency returns on the U.S. stock indices," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    75. Marcel Aloy & Gilles Dufrenot & Charles Lai-Tong & Anne Peguin-Feissolle, 2012. "A Smooth Transition Long-Memory Model," Working Papers halshs-00793680, HAL.
    76. Spodniak, Petr & Collan, Mikael, 2018. "Forward risk premia in long-term transmission rights: The case of electricity price area differentials (EPAD) in the Nordic electricity market," Utilities Policy, Elsevier, vol. 50(C), pages 194-206.
    77. Tanrisever, Fehmi & Derinkuyu, Kursad & Jongen, Geert, 2015. "Organization and functioning of liberalized electricity markets: An overview of the Dutch market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1363-1374.
    78. Kuswanto, Heri & Sibbertsen, Philipp, 2009. "Testing for Long Memory Against ESTAR Nonlinearities," Hannover Economic Papers (HEP) dp-427, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    79. Melanie Houllier & Lilian M. De Menezes & Michael Tamvakis, 2014. "Time Varying Long Run Dynamics And Convergence In The Uk Energy Market," EcoMod2014 6970, EcoMod.
    80. Shi, Yanlin & Ho, Kin-Yip, 2015. "Long memory and regime switching: A simulation study on the Markov regime-switching ARFIMA model," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 189-204.
    81. Eduardo Faria & Stein-Erik Fleten, 2011. "Day-ahead market bidding for a Nordic hydropower producer: taking the Elbas market into account," Computational Management Science, Springer, vol. 8(1), pages 75-101, April.
    82. Rafal Weron, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," HSC Research Reports HSC/14/07, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    83. Perrels, Adriaan & Honkatukia, Juha & Mälkönen, Ville, 2006. "Impacts of the European Emission Trade System on Finnish Wholesale Electricity Prices," Discussion Papers 405, VATT Institute for Economic Research.
    84. Luigi Grossi & Fany Nan, 2018. "The influence of renewables on electricity price forecasting: a robust approach," Working Papers 2018/10, Institut d'Economia de Barcelona (IEB).
    85. Contreras, Javier & Rodríguez, Yeny E. & Sosa, Aníbal, 2017. "Construction of an efficient portfolio of power purchase decisions based on risk-diversification tradeoff," Energy Economics, Elsevier, vol. 64(C), pages 286-297.
    86. Beylunioğlu Fuat C. & Stengos Thanasis & Yazgan M. Ege, 2018. "Regime switching with structural breaks in output convergence," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(3), pages 1-17, June.
    87. Higgs, Helen, 2009. "Modelling price and volatility inter-relationships in the Australian wholesale spot electricity markets," Energy Economics, Elsevier, vol. 31(5), pages 748-756, September.
    88. Zachmann, Georg, 2013. "A stochastic fuel switching model for electricity prices," Energy Economics, Elsevier, vol. 35(C), pages 5-13.
    89. Eichler, M. & Türk, D.D.T., 2012. "Fitting semiparametric Markov regime-switching models to electricity spot prices," Research Memorandum 035, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    90. Bierbrauer, Michael & Menn, Christian & Rachev, Svetlozar T. & Truck, Stefan, 2007. "Spot and derivative pricing in the EEX power market," Journal of Banking & Finance, Elsevier, vol. 31(11), pages 3462-3485, November.
    91. Yanlin Shi, 2023. "Long memory and regime switching in the stochastic volatility modelling," Annals of Operations Research, Springer, vol. 320(2), pages 999-1020, January.
    92. Woo, C.K. & Zarnikau, J. & Moore, J. & Horowitz, I., 2011. "Wind generation and zonal-market price divergence: Evidence from Texas," Energy Policy, Elsevier, vol. 39(7), pages 3928-3938, July.
    93. Boomsma, Trine Krogh & Juul, Nina & Fleten, Stein-Erik, 2014. "Bidding in sequential electricity markets: The Nordic case," European Journal of Operational Research, Elsevier, vol. 238(3), pages 797-809.
    94. Robinson Kruse & Christoph Wegener, 2019. "Explosive behaviour and long memory with an application to European bond yield spreads," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 139-153, February.
    95. Mehmet Balcilar & Rangan Gupta & Charl Jooste, 2014. "Analysing South Africa's Inflation Persistence Using an ARFIMA Model with Markov-Switching Fractional Differencing Parameter," Working Papers 201440, University of Pretoria, Department of Economics.
    96. Yunus Emre Ergemen & Niels Haldrup & Carlos Vladimir Rodríguez-Caballero, 2015. "Common long-range dependence in a panel of hourly Nord Pool electricity prices and loads," CREATES Research Papers 2015-58, Department of Economics and Business Economics, Aarhus University.
    97. Cao, K.H. & Qi, H.S. & Tsai, C.H. & Woo, C.K. & Zarnikau, J., 2021. "Energy trading efficiency in the US Midcontinent electricity markets," Applied Energy, Elsevier, vol. 302(C).
    98. Woo, C.K. & Moore, J. & Schneiderman, B. & Ho, T. & Olson, A. & Alagappan, L. & Chawla, K. & Toyama, N. & Zarnikau, J., 2016. "Merit-order effects of renewable energy and price divergence in California’s day-ahead and real-time electricity markets," Energy Policy, Elsevier, vol. 92(C), pages 299-312.
    99. Chi-Keung Woo, Ira Horowitz, Jay Zarnikau, Jack Moore, Brendan Schneiderman, Tony Ho, and Eric Leung, 2016. "What Moves the Ex Post Variable Profit of Natural-Gas-Fired Generation in California?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    100. Antoine Ferré & Guillaume de Certaines & Jérôme Cazelles & Tancrède Cohet & Arash Farnoosh & Frédéric Lantz, 2021. "Short-term electricity price forecastingmodels comparative analysis : Machine Learning vs. Econometrics," Working Papers hal-03262208, HAL.
    101. Rafal Weron, 2006. "Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach," HSC Books, Hugo Steinhaus Center, Wroclaw University of Science and Technology, number hsbook0601, December.
    102. Do, Hung Xuan & Brooks, Robert & Treepongkaruna, Sirimon & Wu, Eliza, 2014. "The effects of sovereign rating drifts on financial return distributions: Evidence from the European Union," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 5-20.
    103. James Wesley Burnett & Xueting Zhao, 2017. "Spatially Explicit Prediction of Wholesale Electricity Prices," International Regional Science Review, , vol. 40(2), pages 99-140, March.
    104. Gilles de Truchis & Florent Dubois & Elena Ivona Dumitrescu, 2019. "Local Whittle Analysis of Stationary Unbalanced Fractional Cointegration Systems," Working Papers hal-04141882, HAL.
    105. Per B. Solibakke, 2022. "Step‐ahead spot price densities using daily synchronously reported prices and wind forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 17-42, January.
    106. Grossi, Luigi & Nan, Fany, 2019. "Robust forecasting of electricity prices: Simulations, models and the impact of renewable sources," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 305-318.
    107. Ignatieva Katja, 2014. "A nonparametric model for spot price dynamics and pricing of futures contracts in electricity markets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(5), pages 483-505, December.
    108. Giulio Bottazzi & Sandro Sapio & Angelo Secchi, 2004. "Some Statistical Investigations on the Nature and Dynamics of Electricity Prices," LEM Papers Series 2004/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    109. Sapio, Alessandro, 2015. "The effects of renewables in space and time: A regime switching model of the Italian power price," Energy Policy, Elsevier, vol. 85(C), pages 487-499.
    110. Duván Humberto Cataño & Carlos Vladimir Rodríguez-Caballero & Daniel Peña, 2019. "Wavelet Estimation for Dynamic Factor Models with Time-Varying Loadings," CREATES Research Papers 2019-23, Department of Economics and Business Economics, Aarhus University.
    111. Svend Hylleberg, 2004. "On the Exploitation of Market Power in the Nordic Electricity Markets. The Case of Elsam," Economics Working Papers 2004-5, Department of Economics and Business Economics, Aarhus University.
    112. Lau, Chi Keung Marco & Wojewodzki, Michal & Dai, Xingyu & Wang, Qunwei, 2025. "Detecting the macro drivers in the Australian National Electricity Market asymmetric volatility co-movement," Energy Economics, Elsevier, vol. 143(C).
    113. Yunus Emre Ergemen & Carlos Vladimir Rodríguez-Caballero, 2016. "A Dynamic Multi-Level Factor Model with Long-Range Dependence," CREATES Research Papers 2016-23, Department of Economics and Business Economics, Aarhus University.
    114. Lindström, Erik & Regland, Fredrik, 2012. "Modeling extreme dependence between European electricity markets," Energy Economics, Elsevier, vol. 34(4), pages 899-904.
    115. Fan, Kun & Shen, Yang & Siu, Tak Kuen & Wang, Rongming, 2015. "Valuing commodity options and futures options with changing economic conditions," Economic Modelling, Elsevier, vol. 51(C), pages 524-533.
    116. Najeh Chaâbane, 2014. "A novel auto-regressive fractionally integrated moving average--least-squares support vector machine model for electricity spot prices prediction," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(3), pages 635-651, March.
    117. Lin Han & Ivor Cribben & Stefan Trueck, 2022. "Extremal Dependence in Australian Electricity Markets," Papers 2202.09970, arXiv.org.
    118. Ruoyang Li & Alva Svoboda & Shmuel Oren, 2015. "Efficiency impact of convergence bidding in the california electricity market," Journal of Regulatory Economics, Springer, vol. 48(3), pages 245-284, December.
    119. Gianfreda, Angelica & Grossi, Luigi, 2012. "Forecasting Italian electricity zonal prices with exogenous variables," Energy Economics, Elsevier, vol. 34(6), pages 2228-2239.
    120. Leschinski, Christian & Sibbertsen, Philipp, 2019. "Model order selection in periodic long memory models," Econometrics and Statistics, Elsevier, vol. 9(C), pages 78-94.
    121. Gaurav Kapoor & Nuttanan Wichitaksorn & Wenjun Zhang, 2023. "Analyzing and forecasting electricity price using regime‐switching models: The case of New Zealand market," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2011-2026, December.
    122. Lo Prete, Chiara & Norman, Catherine S., 2013. "Rockets and feathers in power futures markets? Evidence from the second phase of the EU ETS," Energy Economics, Elsevier, vol. 36(C), pages 312-321.
    123. Szymon Wlazlowski & Monica Giulietti & Jane Binner & Costas Milas, 2008. "Smooth Transition Models in Price Transmission," Working Paper series 04_08, Rimini Centre for Economic Analysis.
    124. Daniel Ziegler & Katrin Schmitz & Christoph Weber, 2012. "Optimal electricity generation portfolios," Computational Management Science, Springer, vol. 9(3), pages 381-399, August.
    125. Contreras, Javier & Rodríguez, Yeny E., 2014. "GARCH-based put option valuation to maximize benefit of wind investors," Applied Energy, Elsevier, vol. 136(C), pages 259-268.
    126. Erik Lindström & Fredric Regland, 2012. "Independent Spike Models: Estimation and Validation," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(2), pages 180-196, May.
    127. Härdle, Wolfgang Karl & Trück, Stefan, 2010. "The dynamics of hourly electricity prices," SFB 649 Discussion Papers 2010-013, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    128. Duan, Kun & Gao, Yang & Mishra, Tapas & Satchell, Stephen, 2023. "Efficiency dynamics across segmented Bitcoin Markets: Evidence from a decomposition strategy," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
    129. Mosquera-López, Stephanía & Uribe, Jorge M. & Manotas-Duque, Diego Fernando, 2017. "Nonlinear empirical pricing in electricity markets using fundamental weather factors," Energy, Elsevier, vol. 139(C), pages 594-605.
    130. Figueiredo, Nuno Carvalho & Silva, Patrícia Pereira da & Cerqueira, Pedro A., 2016. "It is windy in Denmark: Does market integration suffer?," Energy, Elsevier, vol. 115(P2), pages 1385-1399.
    131. Girum D. Abate & Niels Haldrup, 2015. "Space-time modeling of electricity spot prices," CREATES Research Papers 2015-22, Department of Economics and Business Economics, Aarhus University.
    132. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.
    133. Joanna Janczura, 2012. "Pricing electricity derivatives within a Markov regime-switching model," Papers 1203.5442, arXiv.org.
    134. Sapio, Alessandro & Spagnolo, Nicola, 2016. "Price regimes in an energy island: Tacit collusion vs. cost and network explanations," Energy Economics, Elsevier, vol. 55(C), pages 157-172.

  63. Morten Oe. Nielsen, "undated". "Efficient Likelihold Inference in Nonstationary Univariate Models," Economics Working Papers 2001-8, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Morten Ø. Nielsen & Per Houmann Frederiksen, 2005. "Finite Sample Comparison Of Parametric, Semiparametric, And Wavelet Estimators Of Fractional Integration," Working Paper 1189, Economics Department, Queen's University.
    2. Giuseppe Cavaliere & Morten Ø. Nielsen & A.M. Robert Taylor, 2013. "Bootstrap Score Tests For Fractional Integration In Heteroskedastic Arfima Models, With An Application To Price Dynamics In Commodity Spot And Futures Markets," Working Paper 1309, Economics Department, Queen's University.
    3. Fleming, Jeff & Kirby, Chris, 2011. "Long memory in volatility and trading volume," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1714-1726, July.
    4. Haldrup, Niels & Nielsen, Morten Orregaard, 2006. "A regime switching long memory model for electricity prices," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 349-376.
    5. Søren Johansen & Morten Ørregaard Nielsen, 2007. "Likelihood inference for a nonstationary fractional autoregressive model," CREATES Research Papers 2007-33, Department of Economics and Business Economics, Aarhus University.
    6. Morten Ørregaard Nielsen, 2014. "Asymptotics for the conditional-sum-of-squares estimator in multivariate fractional time series models," CREATES Research Papers 2014-34, Department of Economics and Business Economics, Aarhus University.
    7. Ke, Shuyao & Phillips, Peter C.B. & Su, Liangjun, 2024. "Robust inference of panel data models with interactive fixed effects under long memory: A frequency domain approach," Journal of Econometrics, Elsevier, vol. 241(2).
    8. Marina Balboa & Paulo M. M. Rodrigues & Antonio Rubia & A. M. Robert Taylor, 2021. "Multivariate fractional integration tests allowing for conditional heteroskedasticity with an application to return volatility and trading volume," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 544-565, August.
    9. Morten Oerregaard Nielsen, "undated". "Optimal Residual Based Tests for Fractional Cointegration and Exchange Rate Dynamics," Economics Working Papers 2002-7, Department of Economics and Business Economics, Aarhus University.
    10. Cavaliere, Giuseppe & Nielsen, Morten Ørregaard & Taylor, A.M. Robert, 2017. "Quasi-maximum likelihood estimation and bootstrap inference in fractional time series models with heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 198(1), pages 165-188.
    11. Paulo M.M. Rodrigues & Uwe Hassler, 2012. "Quantile regression for long memory testing: A case of realized volatility," Working Papers w201207, Banco de Portugal, Economics and Research Department.
    12. Haldrup; Niels & Morten Oerregaard Nielsen, 2005. "Directional Congestion and Regime Switching in a Long Memory Model for Electricity Prices," Economics Working Papers 2005-18, Department of Economics and Business Economics, Aarhus University.
    13. Shao, Xiaofeng & Wu, Wei Biao, 2007. "Local asymptotic powers of nonparametric and semiparametric tests for fractional integration," Stochastic Processes and their Applications, Elsevier, vol. 117(2), pages 251-261, February.
    14. João Valle e Azevedo & Paulo M.M. Rodrigues & Antonio Rubia, 2009. "Finite Sample Performance of Frequency and Time Domain Tests for Seasonal Fractional Integration," Working Papers w200902, Banco de Portugal, Economics and Research Department.
    15. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    16. Per Frederiksen & Frank S. Nielsen, 2008. "Estimation of Dynamic Models with Nonparametric Simulated Maximum Likelihood," CREATES Research Papers 2008-59, Department of Economics and Business Economics, Aarhus University.
    17. Bardet Jean-Marc & Dola Béchir, 2016. "Semiparametric Stationarity and Fractional Unit Roots Tests Based on Data-Driven Multidimensional Increment Ratio Statistics," Journal of Time Series Econometrics, De Gruyter, vol. 8(2), pages 115-153, July.
    18. Paulo M.M. Rodrigues & Luis F. Martins, 2010. "Testing for Persistence Change in Fractionally Integrated Models: An Application to World Inflation Rates," Working Papers w201030, Banco de Portugal, Economics and Research Department.

  64. Nielsen, Morten Oe., "undated". "Semiparametric Estimation in Time Series Regression with Long Range Dependence," Economics Working Papers 2002-17, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Gilles de Truchis & Elena Ivona Dumitrescu, 2019. "Narrow-band Weighted Nonlinear Least Squares Estimation of Unbalanced Cointegration Systems," EconomiX Working Papers 2019-14, University of Paris Nanterre, EconomiX.
    2. Torben G. Andersen & Rasmus T. Varneskov, 2018. "Consistent Inference for Predictive Regressions in Persistent VAR Economies," CREATES Research Papers 2018-09, Department of Economics and Business Economics, Aarhus University.
    3. Afonso Gonçalves da Silva & Peter M Robinson, 2006. "Finite Sample Performance in CointegrationAnalysis of Nonlinear Time Series with LongMemory," STICERD - Econometrics Paper Series 501, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    4. Morten Ø. Nielsen & Per Houmann Frederiksen, 2008. "Fully Modified Narrow-band Least Squares Estimation Of Stationary Fractional Cointegration," Working Paper 1171, Economics Department, Queen's University.
    5. Peter M Robinson, 2007. "Multiple Local Whittle Estimation in StationarySystems," STICERD - Econometrics Paper Series 525, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    6. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    7. Andersen, Torben G. & Varneskov, Rasmus T., 2021. "Consistent inference for predictive regressions in persistent economic systems," Journal of Econometrics, Elsevier, vol. 224(1), pages 215-244.
    8. George Kapetanios & Zacharias Psaradakis, 2007. "Semiparametric Sieve-Type GLS Inference in Regressions with Long-Range Dependence," Working Papers 587, Queen Mary University of London, School of Economics and Finance.
    9. Ørregaard Nielsen, Morten, 2004. "Local empirical spectral measure of multivariate processes with long range dependence," Stochastic Processes and their Applications, Elsevier, vol. 109(1), pages 145-166, January.
    10. Robinson, Peter M., 2007. "Multiple local whittle estimation in stationary systems," LSE Research Online Documents on Economics 4436, London School of Economics and Political Science, LSE Library.
    11. Gilles de Truchis & Elena Ivona Dumitrescu & Florent Dubois, 2019. "Local Whittle Analysis of Stationary Unbalanced Fractional Cointegration Systems," EconomiX Working Papers 2019-15, University of Paris Nanterre, EconomiX.
    12. George Kapetanios & Zacharias Psaradakis, 2016. "Semiparametric Sieve-Type Generalized Least Squares Inference," Econometric Reviews, Taylor & Francis Journals, vol. 35(6), pages 951-985, June.
    13. Christian Leschinski & Michelle Voges & Philipp Sibbertsen, 2021. "A comparison of semiparametric tests for fractional cointegration," Statistical Papers, Springer, vol. 62(4), pages 1997-2030, August.
    14. Do, Hung Xuan & Brooks, Robert Darren & Treepongkaruna, Sirimon, 2013. "Generalized impulse response analysis in a fractionally integrated vector autoregressive model," Economics Letters, Elsevier, vol. 118(3), pages 462-465.

  65. Haldrup, Niels & Nielsen, Morten Oe., "undated". "Estimation of Fractional Integration in the Presence of Data Noise," Economics Working Papers 2003-10, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Artiach, Miguel & Arteche, Josu, 2012. "Doubly fractional models for dynamic heteroscedastic cycles," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 2139-2158.
    2. Ho, Hwai-Chung, 2015. "Sample quantile analysis for long-memory stochastic volatility models," Journal of Econometrics, Elsevier, vol. 189(2), pages 360-370.
    3. Grace Lee Ching Yap, 2020. "Optimal Filter Approximations for Latent Long Memory Stochastic Volatility," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 547-568, August.
    4. Kim, Chang Sik & Lee, Sungro, 2011. "Spurious regressions driven by excessive volatility," Economics Letters, Elsevier, vol. 113(3), pages 292-297.
    5. Bos, Charles S. & Koopman, Siem Jan & Ooms, Marius, 2014. "Long memory with stochastic variance model: A recursive analysis for US inflation," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 144-157.
    6. Lean, Hooi Hooi & Smyth, Russell, 2009. "Long memory in US disaggregated petroleum consumption: Evidence from univariate and multivariate LM tests for fractional integration," Energy Policy, Elsevier, vol. 37(8), pages 3205-3211, August.
    7. Torben G. Andersen & Rasmus T. Varneskov, 2018. "Consistent Inference for Predictive Regressions in Persistent VAR Economies," CREATES Research Papers 2018-09, Department of Economics and Business Economics, Aarhus University.
    8. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    9. Marie Busch & Philipp Sibbertsen, 2018. "An Overview of Modified Semiparametric Memory Estimation Methods," Econometrics, MDPI, vol. 6(1), pages 1-21, March.
    10. Davidson, James & Hashimzade, Nigar, 2009. "Type I and type II fractional Brownian motions: A reconsideration," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2089-2106, April.
    11. Haldrup, Niels & Nielsen, Morten Orregaard, 2006. "A regime switching long memory model for electricity prices," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 349-376.
    12. Cassola, Nuno & Morana, Claudio, 2006. "Comovements in volatility in the euro money market," Working Paper Series 703, European Central Bank.
    13. Hafner, Christian & Preminger, Arie, 2015. "The effect of additive outliers on a fractional unit root test," LIDAM Discussion Papers ISBA 2015027, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    14. Marina Balboa & Paulo M. M. Rodrigues & Antonio Rubia & A. M. Robert Taylor, 2021. "Multivariate fractional integration tests allowing for conditional heteroskedasticity with an application to return volatility and trading volume," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 544-565, August.
    15. Fajardo, Fabio Alexander, 2011. "Some Alternatives for Robust Estimation of the Spectrum in Stationary Processes," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 31(1), March.
    16. Adekoya, Oluwasegun B. & Oliyide, Johnson A., 2022. "Commodity and financial markets’ fear before and during COVID-19 pandemic: Persistence and causality analyses," Resources Policy, Elsevier, vol. 76(C).
    17. Christensen, Bent Jesper & Varneskov, Rasmus Tangsgaard, 2017. "Medium band least squares estimation of fractional cointegration in the presence of low-frequency contamination," Journal of Econometrics, Elsevier, vol. 197(2), pages 218-244.
    18. Hassler, Uwe & Nautz, Dieter, 2008. "On the persistence of the Eonia spread," Economics Letters, Elsevier, vol. 101(3), pages 184-187, December.
    19. Baillie, Richard T. & Kapetanios, George & Papailias, Fotis, 2014. "Bandwidth selection by cross-validation for forecasting long memory financial time series," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 129-143.
    20. Adam McCloskey & Pierre Perron, 2012. "Memory Parameter Estimation in the Presence of Level Shifts and Deterministic Trends," Working Papers 2012-15, Brown University, Department of Economics.
    21. Dalla, Violetta, 2015. "Power transformations of absolute returns and long memory estimation," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 1-18.
    22. Charles, Amélie & Darné, Olivier, 2014. "Volatility persistence in crude oil markets," Energy Policy, Elsevier, vol. 65(C), pages 729-742.
    23. Grassi, Stefano & Santucci de Magistris, Paolo, 2014. "When long memory meets the Kalman filter: A comparative study," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 301-319.
    24. Peter R. Hansen & Asger Lunde, 2010. "Estimating the Persistence and the Autocorrelation Function of a Time Series that is Measured with Error," CREATES Research Papers 2010-08, Department of Economics and Business Economics, Aarhus University.
    25. Matei Demetrescu & Mehdi Hosseinkouchack, 2022. "Autoregressive spectral estimates under ignored changes in the mean," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(2), pages 329-340, March.
    26. Paulo M.M. Rodrigues & Uwe Hassler, 2012. "Quantile regression for long memory testing: A case of realized volatility," Working Papers w201207, Banco de Portugal, Economics and Research Department.
    27. Haldrup; Niels & Morten Oerregaard Nielsen, 2005. "Directional Congestion and Regime Switching in a Long Memory Model for Electricity Prices," Economics Working Papers 2005-18, Department of Economics and Business Economics, Aarhus University.
    28. Eduardo Rossi & Paolo Santucci de Magistris, 2014. "Estimation of Long Memory in Integrated Variance," Econometric Reviews, Taylor & Francis Journals, vol. 33(7), pages 785-814, October.
    29. Caporale, Guglielmo Maria & Gil-Alana, Luis A., 2008. "Modelling the US, UK and Japanese unemployment rates: Fractional integration and structural breaks," Computational Statistics & Data Analysis, Elsevier, vol. 52(11), pages 4998-5013, July.
    30. Andersen, Torben G. & Varneskov, Rasmus T., 2021. "Consistent inference for predictive regressions in persistent economic systems," Journal of Econometrics, Elsevier, vol. 224(1), pages 215-244.
    31. Henghsiu Tsai & Heiko Rachinger & Edward M.H. Lin, 2015. "Inference of Seasonal Long-memory Time Series with Measurement Error," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 137-154, March.
    32. Nautz, Dieter & Scheithauer, Jan, 2009. "Monetary policy implementation and overnight rate persistence," SFB 649 Discussion Papers 2009-053, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    33. Baillie, Richard T. & Kapetanios, George & Papailias, Fotis, 2014. "Modified information criteria and selection of long memory time series models," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 116-131.
    34. Per Frederiksen & Morten Ørregaard Nielsen, 2008. "Bias-reduced estimation of long memory stochastic volatility," CREATES Research Papers 2008-35, Department of Economics and Business Economics, Aarhus University.
    35. Svend Hylleberg, 2004. "On the Exploitation of Market Power in the Nordic Electricity Markets. The Case of Elsam," Economics Working Papers 2004-5, Department of Economics and Business Economics, Aarhus University.
    36. Lenin Arango-Castillo & Francisco J. Martínez-Ramírez & María José Orraca, 2024. "Univariate Measures of Persistence: A Comparative Analysis," Working Papers 2024-11, Banco de México.
    37. Onsurang Norrbin & Aaron D. Smallwood, 2011. "Mean Reversion in the Real Interest Rate and the Effects of Calculating Expected Inflation," Southern Economic Journal, John Wiley & Sons, vol. 78(1), pages 107-130, July.

  66. Morten Oerregaard Nielsen, "undated". "Local Whittle Analysis of Stationary Fractional Cointegration," Economics Working Papers 2002-8, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Leschinski, Christian & Voges, Michelle & Sibbertsen, Philipp, 2019. "A Comparison of Semiparametric Tests for Fractional Cointegration," Hannover Economic Papers (HEP) dp-651, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    2. Nielsen, Morten Orregaard, 2005. "Noncontemporaneous cointegration and the importance of timing," Economics Letters, Elsevier, vol. 86(1), pages 113-119, January.
    3. Shimotsu, Katsumi, 2003. "Exact Local Whittle Estimation of Fractionally Cointegrated Systems," Economics Discussion Papers 8869, University of Essex, Department of Economics.
    4. Nielsen, Morten Orregaard, 2004. "Spectral analysis of fractionally cointegrated systems," Economics Letters, Elsevier, vol. 83(2), pages 225-231, May.
    5. Marcel Aloy & Boutahar Mohamed & Karine Gente & Anne Peguin-Feissolle, 2013. "Long-run relationships between international stock prices: further evidence from fractional cointegration tests," Post-Print hal-00743767, HAL.

  67. Nielsen, Morten Oe., "undated". "Spectral Analysis of Fractionally Cointegrated Systems," Economics Working Papers 2002-12, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Kristoufek, Ladislav, 2013. "Mixed-correlated ARFIMA processes for power-law cross-correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6484-6493.
    2. Nielsen, Morten Orregaard & Shimotsu, Katsumi, 2007. "Determining the cointegrating rank in nonstationary fractional systems by the exact local Whittle approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 574-596, December.
    3. Nielsen, Morten Orregaard, 2005. "Noncontemporaneous cointegration and the importance of timing," Economics Letters, Elsevier, vol. 86(1), pages 113-119, January.
    4. Eroğlu, Burak Alparslan, 2019. "Wavelet variance ratio cointegration test and wavestrapping," Journal of Multivariate Analysis, Elsevier, vol. 171(C), pages 298-319.
    5. Nielsen, Morten Oe., "undated". "Local Empirical Spectral Measure of Multivariate Processes with Long Range Dependence," Economics Working Papers 2002-16, Department of Economics and Business Economics, Aarhus University.
    6. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    7. Burak Eroglu, 2017. "Wavelet Variance Ratio Test And Wavestrapping For The Determination Of The Cointegration Rank," Working Papers 1706, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.
    8. Christian Leschinski & Michelle Voges & Philipp Sibbertsen, 2021. "A comparison of semiparametric tests for fractional cointegration," Statistical Papers, Springer, vol. 62(4), pages 1997-2030, August.
    9. Burak Eroglu & Kemal Caglar Gogebakan & Mirza Trokic, 2017. "Fractional Seasonal Variance Ratio Unit Root Tests," Working Papers 1707, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.
    10. Avarucci, Marco & Velasco, Carlos, 2009. "A Wald test for the cointegration rank in nonstationary fractional systems," Journal of Econometrics, Elsevier, vol. 151(2), pages 178-189, August.

  68. Morten Oerregaard Nielsen, "undated". "Efficient Inference in Multivariate Fractionally Integrated Time Series Models," Economics Working Papers 2002-6, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Fleming, Jeff & Kirby, Chris, 2011. "Long memory in volatility and trading volume," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1714-1726, July.
    2. Marina Balboa & Paulo M. M. Rodrigues & Antonio Rubia & A. M. Robert Taylor, 2021. "Multivariate fractional integration tests allowing for conditional heteroskedasticity with an application to return volatility and trading volume," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 544-565, August.
    3. Tobias Hartl & Roland Weigand, 2018. "Multivariate Fractional Components Analysis," Papers 1812.09149, arXiv.org, revised Jan 2019.
    4. Tobias Hartl & Roland Weigand, 2018. "Approximate State Space Modelling of Unobserved Fractional Components," Papers 1812.09142, arXiv.org, revised May 2020.
    5. Hung Do & Rabindra Nepal & Russell Smyth, 2020. "Interconnectedness in the Australian National Electricity Market: A Higher‐Moment Analysis," The Economic Record, The Economic Society of Australia, vol. 96(315), pages 450-469, December.
    6. Daiqing Xi & Tianxiao Pang, 2021. "Estimating multiple breaks in mean sequentially with fractionally integrated errors," Statistical Papers, Springer, vol. 62(1), pages 451-494, February.
    7. Kristoufek, Ladislav, 2015. "On the interplay between short and long term memory in the power-law cross-correlations setting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 218-222.
    8. P. S. Sephton, 2010. "Unit roots and purchasing power parity: another kick at the can," Applied Economics, Taylor & Francis Journals, vol. 42(27), pages 3439-3453.
    9. Dark, Jonathan, 2018. "Multivariate models with long memory dependence in conditional correlation and volatility," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 162-180.
    10. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    11. Jorge M. L. Andraz & Raúl F. C. Guerreiro & Paulo M. M. Rodrigues, 2018. "Persistence of travel and leisure sector equity indices," Empirical Economics, Springer, vol. 54(4), pages 1801-1825, June.
    12. Tschernig, Rolf & Weber, Enzo & Weigand, Roland, 2013. "Fractionally Integrated VAR Models with a Fractional Lag Operator and Deterministic Trends: Finite Sample Identification and Two-step Estimation," University of Regensburg Working Papers in Business, Economics and Management Information Systems 471, University of Regensburg, Department of Economics.
    13. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2007. "A Multivariate Long-Memory Model with Structural Breaks," CESifo Working Paper Series 1950, CESifo.
    14. Mark J. Jensen, 2009. "The Long‐Run Fisher Effect: Can It Be Tested?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(1), pages 221-231, February.
    15. Tobias Hartl, 2020. "Macroeconomic Forecasting with Fractional Factor Models," Papers 2005.04897, arXiv.org.

  69. Morten Oerregaard Nielsen, "undated". "Optimal Residual Based Tests for Fractional Cointegration and Exchange Rate Dynamics," Economics Working Papers 2002-7, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. de Truchis, Gilles & Dell’Eva, Cyril & Keddad, Benjamin, 2017. "On exchange rate comovements: New evidence from a Taylor rule fundamentals model with adaptive learning," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 82-98.
    2. Nielsen, Morten Orregaard & Shimotsu, Katsumi, 2007. "Determining the cointegrating rank in nonstationary fractional systems by the exact local Whittle approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 574-596, December.
    3. Aaron D. Smallwood & Stefan C. Norrbin, 2006. "Generalized long memory processes, failure of cointegration tests and exchange rate dynamics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(4), pages 409-417, May.
    4. Cheng, Xu & Phillips, Peter C.B., 2012. "Cointegrating rank selection in models with time-varying variance," Journal of Econometrics, Elsevier, vol. 169(2), pages 155-165.
    5. Christensen, Bent Jesper & Kruse, Robinson & Sibbertsen, Philipp, 2013. "A unified framework for testing in the linear regression model under unknown order of fractional integration," Hannover Economic Papers (HEP) dp-519, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    6. Mauro Costantini & Roy Cerqueti, 2007. "Non parametric Fractional Cointegration Analysis," ISAE Working Papers 78, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    7. Frank S. Nielsen, 2009. "Local Whittle estimation of multivariate fractionally integrated processes," CREATES Research Papers 2009-38, Department of Economics and Business Economics, Aarhus University.
    8. de Truchis, Gilles & Keddad, Benjamin, 2016. "On the risk comovements between the crude oil market and U.S. dollar exchange rates," Economic Modelling, Elsevier, vol. 52(PA), pages 206-215.
    9. Morten Oerregaard Nielsen, "undated". "Efficient Inference in Multivariate Fractionally Integrated Time Series Models," Economics Working Papers 2002-6, Department of Economics and Business Economics, Aarhus University.
    10. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    11. Katarzyna Lasak & Carlos Velasco, 2014. "Fractional Cointegration Rank Estimation," Tinbergen Institute Discussion Papers 14-021/III, Tinbergen Institute.
    12. Luis A. Gil-Alana & Christophe André & Rangan Gupta & Tsangyao Chang & Omid Ranjbar, 2016. "The Feldstein--Horioka puzzle in South Africa: A fractional cointegration approach," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 25(7), pages 978-991, October.
    13. Demetrescu, Matei & Kusin, Vladimir & Salish, Nazarii, 2022. "Testing for no cointegration in vector autoregressions with estimated degree of fractional integration," Economic Modelling, Elsevier, vol. 108(C).
    14. Frank S. Nielsen, 2011. "Local Whittle estimation of multi‐variate fractionally integrated processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 32(3), pages 317-335, May.
    15. Marcel Aloy & Gilles de Truchis, 2012. "Estimation and Testing for Fractional Cointegration," Working Papers halshs-00793206, HAL.
    16. Banerjee, Anindya & Urga, Giovanni, 2005. "Modelling structural breaks, long memory and stock market volatility: an overview," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 1-34.
    17. Gil-Alana, Luis A. & Carcel, Hector, 2020. "A fractional cointegration var analysis of exchange rate dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    18. Avarucci, Marco & Velasco, Carlos, 2009. "A Wald test for the cointegration rank in nonstationary fractional systems," Journal of Econometrics, Elsevier, vol. 151(2), pages 178-189, August.

  70. Nielsen, Morten Oe., "undated". "Multivariate Lagrange Multiplier Tests for Fractional Integration," Economics Working Papers 2002-18, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Uwe Hassler & Matei Demetrescu & Adina Tarcolea, 2011. "Asymptotic normal tests for integration in panels with cross-dependent units," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(2), pages 187-204, June.
    2. Luis Alberiko Gil-Alana & Antonio Moreno, 2006. "Technology Shocks and Hours Worked: A Fractional Integration Perspective," Faculty Working Papers 03/06, School of Economics and Business Administration, University of Navarra.
    3. Belbute, José, 2013. "Does final demand for energy in Portugal exhibit long memory?," MPRA Paper 45717, University Library of Munich, Germany.
    4. Lean, Hooi Hooi & Smyth, Russell, 2009. "Long memory in US disaggregated petroleum consumption: Evidence from univariate and multivariate LM tests for fractional integration," Energy Policy, Elsevier, vol. 37(8), pages 3205-3211, August.
    5. Marina Balboa & Paulo M. M. Rodrigues & Antonio Rubia & A. M. Robert Taylor, 2021. "Multivariate fractional integration tests allowing for conditional heteroskedasticity with an application to return volatility and trading volume," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 544-565, August.
    6. Lasak, Katarzyna, 2010. "Likelihood based testing for no fractional cointegration," Journal of Econometrics, Elsevier, vol. 158(1), pages 67-77, September.
    7. Golpe, Antonio A. & Carmona, Monica & Congregado, Emilio, 2012. "Persistence in natural gas consumption in the US: An unobserved component model," Energy Policy, Elsevier, vol. 46(C), pages 594-600.
    8. Gil-Alana, Luis A. & Fischer, Christian, 2007. "International traveling and trade: further evidence for the case of Spanish wine based on fractional VAR specifications," 105th Seminar, March 8-10, 2007, Bologna, Italy 7859, European Association of Agricultural Economists.
    9. Niels Haldrup & Robinson Kruse, 2014. "Discriminating between fractional integration and spurious long memory," CREATES Research Papers 2014-19, Department of Economics and Business Economics, Aarhus University.
    10. Massimiliano Caporin & Angelo Ranaldo & Paolo Santucci de Magistris, 2011. "On the Predictability of Stock Prices: A Case for High and Low Prices," "Marco Fanno" Working Papers 0136, Dipartimento di Scienze Economiche "Marco Fanno".
    11. Kassouri, Yacouba, 2022. "Boom-bust cycles in oil consumption: The role of explosive bubbles and asymmetric adjustments," Energy Economics, Elsevier, vol. 111(C).
    12. Meng, Ming & Payne, James E. & Lee, Junsoo, 2013. "Convergence in per capita energy use among OECD countries," Energy Economics, Elsevier, vol. 36(C), pages 536-545.
    13. Russell Smyth, 2012. "Are fluctuations in energy variables permanent or transitory? A survey of the literature on the integration properties of energy consumption and production," Monash Economics Working Papers 04-12, Monash University, Department of Economics.
    14. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    15. Jorge M. L. Andraz & Raúl F. C. Guerreiro & Paulo M. M. Rodrigues, 2018. "Persistence of travel and leisure sector equity indices," Empirical Economics, Springer, vol. 54(4), pages 1801-1825, June.
    16. Katarzyna Lasak & Carlos Velasco, 2014. "Fractional Cointegration Rank Estimation," Tinbergen Institute Discussion Papers 14-021/III, Tinbergen Institute.
    17. Fredrik Andersson, 2014. "Exchange rates dynamics revisited: a panel data test of the fractional integration order," Empirical Economics, Springer, vol. 47(2), pages 389-409, September.
    18. Barros, Carlos Pestana & Gil-Alana, Luis A. & Payne, James E., 2013. "U.S. Disaggregated renewable energy consumption: Persistence and long memory behavior," Energy Economics, Elsevier, vol. 40(C), pages 425-432.
    19. Demetrescu, Matei & Kusin, Vladimir & Salish, Nazarii, 2022. "Testing for no cointegration in vector autoregressions with estimated degree of fractional integration," Economic Modelling, Elsevier, vol. 108(C).
    20. Paulo M.M. Rodrigues & Luis F. Martins, 2010. "Testing for Persistence Change in Fractionally Integrated Models: An Application to World Inflation Rates," Working Papers w201030, Banco de Portugal, Economics and Research Department.
    21. Jorge V Pérez-Rodríguez & María Santana-Gallego, 2020. "Modelling tourism receipts and associated risks, using long-range dependence models," Tourism Economics, , vol. 26(1), pages 70-96, February.
    22. Apergis, Nicholas & Tsoumas, Chris, 2012. "Long memory and disaggregated energy consumption: Evidence from fossils, coal and electricity retail in the U.S," Energy Economics, Elsevier, vol. 34(4), pages 1082-1087.
    23. Avarucci, Marco & Velasco, Carlos, 2009. "A Wald test for the cointegration rank in nonstationary fractional systems," Journal of Econometrics, Elsevier, vol. 151(2), pages 178-189, August.
    24. Apergis, Nicholas & Tsoumas, Chris, 2011. "Integration properties of disaggregated solar, geothermal and biomass energy consumption in the U.S," Energy Policy, Elsevier, vol. 39(9), pages 5474-5479, September.

  71. Nielsen, Morten Oe., "undated". "Local Empirical Spectral Measure of Multivariate Processes with Long Range Dependence," Economics Working Papers 2002-16, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Zhongjun Qu, 2010. "A Test Against Spurious Long Memory," Boston University - Department of Economics - Working Papers Series WP2010-051, Boston University - Department of Economics.
    2. Stefanos Kechagias & Vladas Pipiras, 2015. "Definitions And Representations Of Multivariate Long-Range Dependent Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(1), pages 1-25, January.

  72. Bent Jesper Christensen & Morten Ø. Nielsen, "undated". "Semiparametric Analysis of Stationary Fractional Cointegration and the Implied-Realized Volatility Relation in High-Frequency Options Data," Economics Working Papers 2001-4, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Afonso Gonçalves da Silva & Peter M Robinson, 2007. "Fractional Cointegration In StochasticVolatility Models," STICERD - Econometrics Paper Series 519, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    2. Hualde, Javier, 2014. "Estimation of long-run parameters in unbalanced cointegration," Journal of Econometrics, Elsevier, vol. 178(2), pages 761-778.
    3. Gilles de Truchis & Benjamin Keddad, 2014. "On the Risk Comovements between the Crude Oil Market and the U.S. Dollar Exchange Rates," AMSE Working Papers 1421, Aix-Marseille School of Economics, France, revised May 2014.
    4. Marcel Aloy & Gilles Truchis, 2016. "Optimal Estimation Strategies for Bivariate Fractional Cointegration Systems and the Co-persistence Analysis of Stock Market Realized Volatilities," Computational Economics, Springer;Society for Computational Economics, vol. 48(1), pages 83-104, June.
    5. Hualde, J. & Robinson, Peter M., 2006. "Root-n-consistent estimation of weak fractional cointegration," LSE Research Online Documents on Economics 4542, London School of Economics and Political Science, LSE Library.
    6. Christian Leschinski & Michelle Voges & Philipp Sibbertsen, 2021. "Integration and Disintegration of EMU Government Bond Markets," Econometrics, MDPI, vol. 9(1), pages 1-17, March.
    7. Nielsen, Morten Orregaard & Shimotsu, Katsumi, 2007. "Determining the cointegrating rank in nonstationary fractional systems by the exact local Whittle approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 574-596, December.
    8. Gilles de Truchis & Elena Ivona Dumitrescu, 2019. "Narrow-band Weighted Nonlinear Least Squares Estimation of Unbalanced Cointegration Systems," EconomiX Working Papers 2019-14, University of Paris Nanterre, EconomiX.
    9. Andersen, Torben G. & Varneskov, Rasmus T., 2022. "Testing for parameter instability and structural change in persistent predictive regressions," Journal of Econometrics, Elsevier, vol. 231(2), pages 361-386.
    10. Javier Hualde & Peter M Robinson, 2006. "Semiparametric Estimation of Fractional Cointegration," STICERD - Econometrics Paper Series 502, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    11. Federico Carlini & Paolo Santucci de Magistris, 2013. "On the identification of fractionally cointegrated VAR models with the F(d) condition," CREATES Research Papers 2013-44, Department of Economics and Business Economics, Aarhus University.
    12. Nielsen, Morten Orregaard, 2005. "Noncontemporaneous cointegration and the importance of timing," Economics Letters, Elsevier, vol. 86(1), pages 113-119, January.
    13. Hualde, J. & Robinson, P.M., 2010. "Semiparametric inference in multivariate fractionally cointegrated systems," Journal of Econometrics, Elsevier, vol. 157(2), pages 492-511, August.
    14. Robinson Kruse & Christian Leschinski & Michael Will, 2016. "Comparing Predictive Accuracy under Long Memory - With an Application to Volatility Forecasting," CREATES Research Papers 2016-17, Department of Economics and Business Economics, Aarhus University.
    15. Cassola, Nuno & Morana, Claudio, 2010. "Comovements in volatility in the euro money market," Journal of International Money and Finance, Elsevier, vol. 29(3), pages 525-539, April.
    16. Torben G. Andersen & Rasmus T. Varneskov, 2018. "Consistent Inference for Predictive Regressions in Persistent VAR Economies," CREATES Research Papers 2018-09, Department of Economics and Business Economics, Aarhus University.
    17. Wang, Cindy Shin-Huei & Bauwens, Luc & Hsiao, Cheng, 2013. "Forecasting a long memory process subject to structural breaks," Journal of Econometrics, Elsevier, vol. 177(2), pages 171-184.
    18. Katsumi Shimotsu, 2006. "Simple (but Effective) Tests Of Long Memory Versus Structural Breaks," Working Paper 1101, Economics Department, Queen's University.
    19. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    20. Imlak Shaikh & Puja Padhi, 2014. "The forecasting performance of implied volatility index: evidence from India VIX," Economic Change and Restructuring, Springer, vol. 47(4), pages 251-274, November.
    21. Barunik, Jozef & Barunikova, Michaela, 2015. "Revisiting the long memory dynamics of implied-realized volatility relation: A new evidence from wavelet band spectrum regression," FinMaP-Working Papers 43, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    22. Afonso Gonçalves da Silva & Peter M Robinson, 2006. "Finite Sample Performance in CointegrationAnalysis of Nonlinear Time Series with LongMemory," STICERD - Econometrics Paper Series 501, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    23. Javier Hualde & Peter M Robinson, 2006. "Root-N-Consistent Estimation Of Weakfractional Cointegration," STICERD - Econometrics Paper Series 499, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    24. Gilles de Truchis & Benjamin Keddad, 2013. "Analyzing Financial Integration in East Asia through Fractional Cointegration in Volatilities," AMSE Working Papers 1346, Aix-Marseille School of Economics, France, revised Sep 2013.
    25. Ke, Shuyao & Phillips, Peter C.B. & Su, Liangjun, 2024. "Robust inference of panel data models with interactive fixed effects under long memory: A frequency domain approach," Journal of Econometrics, Elsevier, vol. 241(2).
    26. Morten Ø. Nielsen & Per Houmann Frederiksen, 2008. "Fully Modified Narrow-band Least Squares Estimation Of Stationary Fractional Cointegration," Working Paper 1171, Economics Department, Queen's University.
    27. Kellard, Neil & Dunis, Christian & Sarantis, Nicholas, 2010. "Foreign exchange, fractional cointegration and the implied-realized volatility relation," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 882-891, April.
    28. Pérez-Rodríguez, Jorge V. & Andrada-Félix, Julián & Rachinger, Heiko, 2021. "Testing the forward volatility unbiasedness hypothesis in exchange rates under long-range dependence," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    29. Christensen, Bent Jesper & Varneskov, Rasmus Tangsgaard, 2017. "Medium band least squares estimation of fractional cointegration in the presence of low-frequency contamination," Journal of Econometrics, Elsevier, vol. 197(2), pages 218-244.
    30. David W. Berger & Alain P. Chaboud & Erik Hjalmarsson & Edward Howorka, 2006. "What drives volatility persistence in the foreign exchange market?," International Finance Discussion Papers 862, Board of Governors of the Federal Reserve System (U.S.).
    31. Christensen, Bent Jesper & Kruse, Robinson & Sibbertsen, Philipp, 2013. "A unified framework for testing in the linear regression model under unknown order of fractional integration," Hannover Economic Papers (HEP) dp-519, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    32. Daniela Osterrieder & Daniel Ventosa-Santaulària & J. Eduardo Vera-Valdés, 2015. "Unbalanced Regressions and the Predictive Equation," CREATES Research Papers 2015-09, Department of Economics and Business Economics, Aarhus University.
    33. Lena Dräger & Theoplasti Kolaiti & Philipp Sibbertsen, 2023. "Measuring macroeconomic convergence and divergence within EMU using long memory," Empirical Economics, Springer, vol. 65(5), pages 2333-2356, November.
    34. Huang, Teng-Ching & Tu, Yu-Chen & Chou, Heng-Chih, 2015. "Long memory and the relation between options and stock prices," Finance Research Letters, Elsevier, vol. 12(C), pages 77-91.
    35. Cipollini, Andrea & Lo Cascio, Iolanda & Muzzioli, Silvia, 2018. "Risk aversion connectedness in five European countries," Economic Modelling, Elsevier, vol. 71(C), pages 68-79.
    36. Kellard, Neil M. & Jiang, Ying & Wohar, Mark, 2015. "Spurious long memory, uncommon breaks and the implied–realized volatility puzzle," Journal of International Money and Finance, Elsevier, vol. 56(C), pages 36-54.
    37. Niels Haldrup & Robinson Kruse, 2014. "Discriminating between fractional integration and spurious long memory," CREATES Research Papers 2014-19, Department of Economics and Business Economics, Aarhus University.
    38. Jozef Barunik & Michaela Barunikova, 2012. "Revisiting the fractional cointegrating dynamics of implied-realized volatility relation with wavelet band spectrum regression," Papers 1208.4831, arXiv.org, revised Feb 2013.
    39. Jorge V. Pérez-Rodríguez, 2020. "Another look at the implied and realised volatility relation: a copula-based approach," Risk Management, Palgrave Macmillan, vol. 22(1), pages 38-64, March.
    40. Richard T. Baillie & Fabio Calonaci & Dooyeon Cho & Seunghwa Rho, 2019. "Long Memory, Realized Volatility and HAR Models," Working Papers 881, Queen Mary University of London, School of Economics and Finance.
    41. Tilfani, Oussama & Kristoufek, Ladislav & Ferreira, Paulo & El Boukfaoui, My Youssef, 2022. "Heterogeneity in economic relationships: Scale dependence through the multivariate fractal regression," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    42. Christoph Wegener & Tobias Basse & Philipp Sibbertsen & Duc Khuong Nguyen, 2019. "Liquidity risk and the covered bond market in times of crisis: empirical evidence from Germany," Annals of Operations Research, Springer, vol. 282(1), pages 407-426, November.
    43. Peter M Robinson, 2007. "Multiple Local Whittle Estimation in StationarySystems," STICERD - Econometrics Paper Series 525, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    44. Chen, Yong & Eaton, Gregory W. & Paye, Bradley S., 2018. "Micro(structure) before macro? The predictive power of aggregate illiquidity for stock returns and economic activity," Journal of Financial Economics, Elsevier, vol. 130(1), pages 48-73.
    45. Robinson, Peter M. & Gerolimetto, M., 2006. "Instrumental variables estimation of stationary and nonstationary cointegrating regressions," LSE Research Online Documents on Economics 4539, London School of Economics and Political Science, LSE Library.
    46. Marcel Aloy & Mohamed Boutahar & Karine Gente & Anne Péguin-feissolle, 2010. "Fractional integration and cointegration in stock prices and exchange rates," Economics Bulletin, AccessEcon, vol. 30(1), pages 115-129.
    47. Baruník, Jozef & Hlínková, Michaela, 2016. "Revisiting the long memory dynamics of the implied–realized volatility relationship: New evidence from the wavelet regression," Economic Modelling, Elsevier, vol. 54(C), pages 503-514.
    48. Tim Bollerslev & Daniela Osterrieder & Natalia Sizova & George Tauchen, 2011. "Risk and Return: Long-Run Relationships, Fractional Cointegration, and Return Predictability," CREATES Research Papers 2011-51, Department of Economics and Business Economics, Aarhus University.
    49. Marcel Aloy & Gilles de Truchis, 2013. "Optimal Estimation Strategies for Bivariate Fractional Cointegration Systems," AMSE Working Papers 1353, Aix-Marseille School of Economics, France, revised 29 Oct 2013.
    50. Bollerslev, Tim & Osterrieder, Daniela & Sizova, Natalia & Tauchen, George, 2013. "Risk and return: Long-run relations, fractional cointegration, and return predictability," Journal of Financial Economics, Elsevier, vol. 108(2), pages 409-424.
    51. Andersen, Torben G. & Varneskov, Rasmus T., 2021. "Consistent inference for predictive regressions in persistent economic systems," Journal of Econometrics, Elsevier, vol. 224(1), pages 215-244.
    52. Zhou, Xinmiao & Qian, Huanhuan & Pérez-Rodríguez, Jorge. V. & González López-Valcárcel, Beatriz, 2020. "Risk dependence and cointegration between pharmaceutical stock markets: The case of China and the USA," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    53. Theoplasti Kolaiti & Mwasi Mboya & Philipp Sibbertsen, 2020. "Volatility Transmission across Financial Markets: A Semiparametric Analysis," JRFM, MDPI, vol. 13(8), pages 1-13, July.
    54. de Truchis, Gilles, 2013. "Approximate Whittle analysis of fractional cointegration and the stock market synchronization issue," Economic Modelling, Elsevier, vol. 34(C), pages 98-105.
    55. Hualde, Javier & Robinson, Peter M., 2006. "Semiparametric Estimation of Fractional Cointegration," LSE Research Online Documents on Economics 4537, London School of Economics and Political Science, LSE Library.
    56. Stefanos Kechagias & Vladas Pipiras, 2015. "Definitions And Representations Of Multivariate Long-Range Dependent Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(1), pages 1-25, January.
    57. Sizova, Natalia, 2014. "A frequency-domain alternative to long-horizon regressions with application to return predictability," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 261-272.
    58. Chernov, Mikhail, 2007. "On the Role of Risk Premia in Volatility Forecasting," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 411-426, October.
    59. Andrea Cipollini & Iolanda Lo Cascio & Silvia Muzzioli, 2015. "Financial connectedness among European volatility risk premia," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0058, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    60. Andrea Cipollini & Iolanda Lo Cascio & Silvia Muzzioli, 2013. "Volatility co-movements: a time scale decomposition analysis," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0044, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    61. Marcel Aloy & Boutahar Mohamed & Karine Gente & Anne Peguin-Feissolle, 2013. "Long-run relationships between international stock prices: further evidence from fractional cointegration tests," Post-Print hal-00743767, HAL.
    62. Katarzyna Lasak, 2008. "Maximum likelihood estimation of fractionally cointegrated systems," CREATES Research Papers 2008-53, Department of Economics and Business Economics, Aarhus University.
    63. Gilles de Truchis & Florent Dubois & Elena Ivona Dumitrescu, 2019. "Local Whittle Analysis of Stationary Unbalanced Fractional Cointegration Systems," Working Papers hal-04141882, HAL.
    64. Robinson, Peter M., 2007. "Multiple local whittle estimation in stationary systems," LSE Research Online Documents on Economics 4436, London School of Economics and Political Science, LSE Library.
    65. Andrea Cipollini & Iolanda Lo Cascio & Silvia Muzzioli, 2014. "Volatility risk premia and financial connectedness," Department of Economics 0047, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    66. Dettoni, Robinson & Gil-Alana, Luis A. & Yaya, OlaOluwa S., 2024. "Stock market prices and Dividends in the US: Bubbles or Long-run equilibria relationships?," International Review of Financial Analysis, Elsevier, vol. 94(C).
    67. Avarucci, Marco & Marinucci, Domenico, 2005. "Polynomial cointegration among stationary processes with long memory," UC3M Working papers. Economics we055123, Universidad Carlos III de Madrid. Departamento de Economía.
    68. Andrea Cipollini & Iolanda Lo Cascio & Silvia Muzzioli, 2014. "Volatility risk premia and financial connectedness," Center for Economic Research (RECent) 109, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    69. Bent Jesper Christensen & Morten Ørregaard Nielsen, 2007. "The Effect of Long Memory in Volatility on Stock Market Fluctuations," CREATES Research Papers 2007-03, Department of Economics and Business Economics, Aarhus University.
    70. Sakiru Adebola Solarin & Carmen Lafuente & Luis A. Gil-Alana & María Jesús González-Blanch, 2025. "Persistence in the Unemployment and Inflation Relationship. Evidence from 38 OECD Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 1236-1257, March.
    71. Hualde, J. & Robinson, P.M., 2007. "Root-n-consistent estimation of weak fractional cointegration," Journal of Econometrics, Elsevier, vol. 140(2), pages 450-484, October.
    72. Canarella, Giorgio & Miller, Stephen M., 2017. "Inflation targeting and inflation persistence: New evidence from fractional integration and cointegration," Journal of Economics and Business, Elsevier, vol. 92(C), pages 45-62.
    73. Jayawardena, Nirodha I. & Todorova, Neda & Li, Bin & Su, Jen-Je & Gau, Yin-Feng, 2022. "Risk-return trade-off in the Australian Securities Exchange: Accounting for overnight effects, realized higher moments, long-run relations, and fractional cointegration," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 384-401.

Articles

  1. Giuseppe Cavaliere & Sílvia Gonçalves & Morten Ørregaard Nielsen & Edoardo Zanelli, 2024. "Bootstrap Inference in the Presence of Bias," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 119(548), pages 2908-2918, October.
    See citations under working paper version above.
  2. Nielsen, Morten Ørregaard & Seo, Won-Ki & Seong, Dakyung, 2023. "Inference On The Dimension Of The Nonstationary Subspace In Functional Time Series," Econometric Theory, Cambridge University Press, vol. 39(3), pages 443-480, June.
    See citations under working paper version above.
  3. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Fast and reliable jackknife and bootstrap methods for cluster‐robust inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 671-694, August.
    See citations under working paper version above.
  4. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Leverage, influence, and the jackknife in clustered regression models: Reliable inference using summclust," Stata Journal, StataCorp LLC, vol. 23(4), pages 942-982, December.
    See citations under working paper version above.
  5. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Testing for the appropriate level of clustering in linear regression models," Journal of Econometrics, Elsevier, vol. 235(2), pages 2027-2056.
    See citations under working paper version above.
  6. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Cluster-robust inference: A guide to empirical practice," Journal of Econometrics, Elsevier, vol. 232(2), pages 272-299.
    See citations under working paper version above.
  7. Giuseppe Cavaliere & Morten Ørregaard Nielsen & A. M. Robert Taylor, 2022. "Adaptive Inference in Heteroscedastic Fractional Time Series Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 50-65, January.
    See citations under working paper version above.
  8. Fabrizio Iacone & Morten Ørregaard Nielsen & A. M. Robert Taylor, 2022. "Semiparametric Tests for the Order of Integration in the Possible Presence of Level Breaks," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 880-896, April.
    See citations under working paper version above.
  9. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2021. "Wild Bootstrap and Asymptotic Inference With Multiway Clustering," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 505-519, March.
    See citations under working paper version above.
  10. Morten Ørregaard Nielsen & Antoine L. Noël, 2021. "To infinity and beyond: Efficient computation of ARCH(∞) models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(3), pages 338-354, May.

    Cited by:

    1. Li, Yuanbo & Chan, Chu Kin & Yau, Chun Yip & Ng, Wai Leong & Lam, Henry, 2024. "Burn-in selection in simulating stationary time series," Computational Statistics & Data Analysis, Elsevier, vol. 192(C).
    2. Martin Magris & Alexandros Iosifidis, 2023. "Variational Inference for GARCH-family Models," Papers 2310.03435, arXiv.org.

  11. Hualde, Javier & Nielsen, Morten Ørregaard, 2020. "Truncated Sum Of Squares Estimation Of Fractional Time Series Models With Deterministic Trends," Econometric Theory, Cambridge University Press, vol. 36(4), pages 751-772, August.
    See citations under working paper version above.
  12. Morten Ørregaard Nielsen & Javier Hualde, 2019. "Special Issue of the Journal of Time Series Analysis in Honour of the 35th Anniversary of the Publication of Geweke and Porter‐Hudak (1983): Guest Editors' Introduction," Journal of Time Series Analysis, Wiley Blackwell, vol. 40(4), pages 386-387, July.

    Cited by:

    1. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.

  13. Søren Johansen & Morten Ørregaard Nielsen, 2019. "Nonstationary Cointegration in the Fractionally Cointegrated VAR Model," Journal of Time Series Analysis, Wiley Blackwell, vol. 40(4), pages 519-543, July.
    See citations under working paper version above.
  14. Djogbenou, Antoine A. & MacKinnon, James G. & Nielsen, Morten Ørregaard, 2019. "Asymptotic theory and wild bootstrap inference with clustered errors," Journal of Econometrics, Elsevier, vol. 212(2), pages 393-412.
    See citations under working paper version above.
  15. David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019. "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LLC, vol. 19(1), pages 4-60, March.
    See citations under working paper version above.
  16. Morten Ørregaard Nielsen & Sergei S. Shibaev, 2018. "Forecasting daily political opinion polls using the fractionally cointegrated vector auto‐regressive model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(1), pages 3-33, January.

    Cited by:

    1. Alexander Boca Saravia & Gabriel Rodríguez, 2022. "Presidential approval in Peru: an empirical analysis using a fractionally cointegrated VAR," Economic Change and Restructuring, Springer, vol. 55(3), pages 1973-2010, August.
    2. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    3. Zhenxiong Li & Marwan Izzeldin & Xingzhi Yao, 2020. "Return predictability of variance differences: A fractionally cointegrated approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(7), pages 1072-1089, July.
    4. Carlini, Federico & Christensen, Bent Jesper & Datta Gupta, Nabanita & Santucci de Magistris, Paolo, 2023. "Climate, wind energy, and CO2 emissions from energy production in Denmark," Energy Economics, Elsevier, vol. 125(C).
    5. Abbritti, Mirko & Carcel, Hector & Gil-Alana, Luis & Moreno, Antonio, 2023. "Term premium in a fractionally cointegrated yield curve," Journal of Banking & Finance, Elsevier, vol. 149(C).
    6. Mustanen, Dmitri & Maaitah, Ahmad & Mishra, Tapas & Parhi, Mamata, 2022. "The power of investors’ optimism and pessimism in oil market forecasting," Energy Economics, Elsevier, vol. 114(C).
    7. Oloko, Tirimisiyu F. & Ogbonna, Ahamuefula E. & Adedeji, Abdulfatai A. & Lakhani, Noman, 2021. "Oil price shocks and inflation rate persistence: A Fractional Cointegration VAR approach," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 259-275.
    8. Bravo Caro, José Manuel & Golpe, Antonio A. & Iglesias, Jesús & Vides, José Carlos, 2020. "A new way of measuring the WTI – Brent spread. Globalization, shock persistence and common trends," Energy Economics, Elsevier, vol. 85(C).
    9. Godday Uwawunkonye Ebuh & Afees Salisu & Victor Oboh & Nuruddeen Usman, 2023. "A test for the contributions of urban and rural inflation to inflation persistence in Nigeria," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 16(2), pages 222-246, May.
    10. Koki, Constandina & Leonardos, Stefanos & Piliouras, Georgios, 2022. "Exploring the predictability of cryptocurrencies via Bayesian hidden Markov models," Research in International Business and Finance, Elsevier, vol. 59(C).
    11. Salisu, Afees A. & Ndako, Umar B. & Adediran, Idris A. & Swaray, Raymond, 2020. "A fractional cointegration VAR analysis of Islamic stocks: A global perspective," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    12. Federico Carlini & Paolo Santucci de Magistris, 2019. "Resuscitating the co-fractional model of Granger (1986)," Discussion Papers 19/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    13. Tule, Moses K. & Salisu, Afees A. & Ebuh, Godday U., 2020. "A test for inflation persistence in Nigeria using fractional integration & fractional cointegration techniques," Economic Modelling, Elsevier, vol. 87(C), pages 225-237.
    14. Ebuh U. Godday & Nuruddeen Usman & Afees A. Salisu, 2022. "Testing for unemployment persistence in Nigeria," Economic Change and Restructuring, Springer, vol. 55(4), pages 2605-2630, November.

  17. Sepideh Dolatabadi & Paresh Kumar Narayan & Morten Ørregaard Nielsen & Ke Xu, 2018. "Economic significance of commodity return forecasts from the fractionally cointegrated VAR model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(2), pages 219-242, February.
    See citations under working paper version above.
  18. Søren Johansen & Morten Ørregaard Nielsen, 2018. "Testing the CVAR in the Fractional CVAR Model," Journal of Time Series Analysis, Wiley Blackwell, vol. 39(6), pages 836-849, November.
    See citations under working paper version above.
  19. Johansen, Søren & Nielsen, Morten Ørregaard, 2018. "The cointegrated vector autoregressive model with general deterministic terms," Journal of Econometrics, Elsevier, vol. 202(2), pages 214-229.
    See citations under working paper version above.
  20. Cavaliere, Giuseppe & Nielsen, Morten Ørregaard & Taylor, A.M. Robert, 2017. "Quasi-maximum likelihood estimation and bootstrap inference in fractional time series models with heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 198(1), pages 165-188.
    See citations under working paper version above.
  21. Johansen, Søren & Nielsen, Morten Ørregaard, 2016. "The Role Of Initial Values In Conditional Sum-Of-Squares Estimation Of Nonstationary Fractional Time Series Models," Econometric Theory, Cambridge University Press, vol. 32(5), pages 1095-1139, October.
    See citations under working paper version above.
  22. Dolatabadi, Sepideh & Nielsen, Morten Ørregaard & Xu, Ke, 2016. "A fractionally cointegrated VAR model with deterministic trends and application to commodity futures markets," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 623-639.
    See citations under working paper version above.
  23. Cavaliere, Giuseppe & Nielsen, Morten Ørregaard & Taylor, A.M. Robert, 2015. "Bootstrap score tests for fractional integration in heteroskedastic ARFIMA models, with an application to price dynamics in commodity spot and futures markets," Journal of Econometrics, Elsevier, vol. 187(2), pages 557-579.
    See citations under working paper version above.
  24. Morten Ørregaard Nielsen, 2015. "Asymptotics for the Conditional-Sum-of-Squares Estimator in Multivariate Fractional Time-Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(2), pages 154-188, March.
    See citations under working paper version above.
  25. Sepideh Dolatabadi & Morten Ørregaard Nielsen & Ke Xu, 2015. "A Fractionally Cointegrated VAR Analysis of Price Discovery in Commodity Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 339-356, April.
    See citations under working paper version above.
  26. Boswijk, H. Peter & Jansson, Michael & Nielsen, Morten Ørregaard, 2015. "Improved likelihood ratio tests for cointegration rank in the VAR model," Journal of Econometrics, Elsevier, vol. 184(1), pages 97-110.
    See citations under working paper version above.
  27. Christensen, Bent Jesper & Nielsen, Morten Ørregaard & Zhu, Jie, 2015. "The impact of financial crises on the risk–return tradeoff and the leverage effect," Economic Modelling, Elsevier, vol. 49(C), pages 407-418.
    See citations under working paper version above.
  28. James G. MacKinnon & Morten Ørregaard Nielsen, 2014. "Numerical Distribution Functions Of Fractional Unit Root And Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 161-171, January.
    See citations under working paper version above.
  29. Maggie E. C. Jones & Morten Ørregaard Nielsen & Micha Ksawery Popiel, 2014. "A fractionally cointegrated VAR analysis of economic voting and political support," Canadian Journal of Economics, Canadian Economics Association, vol. 47(4), pages 1078-1130, November.
    See citations under working paper version above.
  30. Andreas Noack Jensen & Morten Ørregaard Nielsen, 2014. "A Fast Fractional Difference Algorithm," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(5), pages 428-436, August.
    See citations under working paper version above.
  31. Frederiksen, Per & Nielsen, Frank S. & Nielsen, Morten Ørregaard, 2012. "Local polynomial Whittle estimation of perturbed fractional processes," Journal of Econometrics, Elsevier, vol. 167(2), pages 426-447.
    See citations under working paper version above.
  32. Michael Jansson & Morten Ørregaard Nielsen, 2012. "Nearly Efficient Likelihood Ratio Tests of the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 80(5), pages 2321-2332, September.
    See citations under working paper version above.
  33. Søren Johansen & Morten Ørregaard Nielsen, 2012. "Likelihood Inference for a Fractionally Cointegrated Vector Autoregressive Model," Econometrica, Econometric Society, vol. 80(6), pages 2667-2732, November.
    See citations under working paper version above.
  34. Johansen, Søren & Ørregaard Nielsen, Morten, 2012. "A Necessary Moment Condition For The Fractional Functional Central Limit Theorem," Econometric Theory, Cambridge University Press, vol. 28(3), pages 671-679, June.
    See citations under working paper version above.
  35. Morten Ørregaard Nielsen & Per Frederiksen, 2011. "Fully modified narrow‐band least squares estimation of weak fractional cointegration," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 77-120, February.
    See citations under working paper version above.
  36. Busch, Thomas & Christensen, Bent Jesper & Nielsen, Morten Ørregaard, 2011. "The role of implied volatility in forecasting future realized volatility and jumps in foreign exchange, stock, and bond markets," Journal of Econometrics, Elsevier, vol. 160(1), pages 48-57, January.
    See citations under working paper version above.
  37. Jansson Michael & Nielsen Morten Ørregaard, 2011. "Nearly Efficient Likelihood Ratio Tests for Seasonal Unit Roots," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-21, February.
    See citations under working paper version above.
  38. Torben G. Andersen & Tim Bollerslev & Per Frederiksen & Morten Ørregaard Nielsen, 2010. "Continuous-time models, realized volatilities, and testable distributional implications for daily stock returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(2), pages 233-261.
    See citations under working paper version above.
  39. Christensen, Bent Jesper & Nielsen, Morten Ørregaard & Zhu, Jie, 2010. "Long memory in stock market volatility and the volatility-in-mean effect: The FIEGARCH-M Model," Journal of Empirical Finance, Elsevier, vol. 17(3), pages 460-470, June.
    See citations under working paper version above.
  40. Haldrup, Niels & Nielsen, Frank S. & Nielsen, Morten Ørregaard, 2010. "A vector autoregressive model for electricity prices subject to long memory and regime switching," Energy Economics, Elsevier, vol. 32(5), pages 1044-1058, September.
    See citations under working paper version above.
  41. Johansen, Søren & Nielsen, Morten Ørregaard, 2010. "Likelihood inference for a nonstationary fractional autoregressive model," Journal of Econometrics, Elsevier, vol. 158(1), pages 51-66, September.
    See citations under working paper version above.
  42. Nielsen, Morten Ørregaard, 2010. "Nonparametric cointegration analysis of fractional systems with unknown integration orders," Journal of Econometrics, Elsevier, vol. 155(2), pages 170-187, April.
    See citations under working paper version above.
  43. Nielsen, Morten Ørregaard, 2009. "A Powerful Test Of The Autoregressive Unit Root Hypothesis Based On A Tuning Parameter Free Statistic," Econometric Theory, Cambridge University Press, vol. 25(6), pages 1515-1544, December.
    See citations under working paper version above.
  44. Per Frederiksen & Morten Orregaard Nielsen, 2008. "Bias-Reduced Estimation of Long-Memory Stochastic Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 6(4), pages 496-512, Fall.
    See citations under working paper version above.
  45. Nielsen, Morten Ørregaard & Frederiksen, Per, 2008. "Finite sample accuracy and choice of sampling frequency in integrated volatility estimation," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 265-286, March.
    See citations under working paper version above.
  46. Asaf Zussman & Noam Zussman & Morten Ørregaard Nielsen, 2008. "Asset Market Perspectives on the Israeli–Palestinian Conflict," Economica, London School of Economics and Political Science, vol. 75(297), pages 84-115, February.
    See citations under working paper version above.
  47. Bent Jesper Christensen & Morten Ørregaard Nielsen, 2007. "The Effect of Long Memory in Volatility on Stock Market Fluctuations," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 684-700, November.
    See citations under working paper version above.
  48. Nielsen, Morten Orregaard & Shimotsu, Katsumi, 2007. "Determining the cointegrating rank in nonstationary fractional systems by the exact local Whittle approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 574-596, December.
    See citations under working paper version above.
  49. Haldrup, Niels & Nielsen, Morten Orregaard, 2007. "Estimation of fractional integration in the presence of data noise," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 3100-3114, March.
    See citations under working paper version above.
  50. Nielsen, Morten Orregaard, 2007. "Local Whittle Analysis of Stationary Fractional Cointegration and the ImpliedRealized Volatility Relation," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 427-446, October.

    Cited by:

    1. Becker, Janis & Leschinski, Christian & Sibbertsen, Philipp, 2019. "Robust Multivariate Local Whittle Estimation and Spurious Fractional Cointegration," Hannover Economic Papers (HEP) dp-660, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    2. Marcel Aloy & Gilles Truchis, 2016. "Optimal Estimation Strategies for Bivariate Fractional Cointegration Systems and the Co-persistence Analysis of Stock Market Realized Volatilities," Computational Economics, Springer;Society for Computational Economics, vol. 48(1), pages 83-104, June.
    3. Leschinski, Christian & Voges, Michelle & Sibbertsen, Philipp, 2019. "A Comparison of Semiparametric Tests for Fractional Cointegration," Hannover Economic Papers (HEP) dp-651, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    4. Gilles de Truchis & Elena Ivona Dumitrescu, 2019. "Narrow-band Weighted Nonlinear Least Squares Estimation of Unbalanced Cointegration Systems," EconomiX Working Papers 2019-14, University of Paris Nanterre, EconomiX.
    5. Andersen, Torben G. & Varneskov, Rasmus T., 2022. "Testing for parameter instability and structural change in persistent predictive regressions," Journal of Econometrics, Elsevier, vol. 231(2), pages 361-386.
    6. Ata Assaf & Luis Alberiko Gil-Alana & Khaled Mokni, 2022. "True or spurious long memory in the cryptocurrency markets: evidence from a multivariate test and other Whittle estimation methods," Empirical Economics, Springer, vol. 63(3), pages 1543-1570, September.
    7. Robinson Kruse & Christian Leschinski & Michael Will, 2016. "Comparing Predictive Accuracy under Long Memory - With an Application to Volatility Forecasting," CREATES Research Papers 2016-17, Department of Economics and Business Economics, Aarhus University.
    8. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    9. Sibbertsen, Philipp & Leschinski, Christian & Busch, Marie, 2018. "A multivariate test against spurious long memory," Journal of Econometrics, Elsevier, vol. 203(1), pages 33-49.
    10. Gil-Alana, Luis A. & Yaya, OlaOluwa S. & Awe, Olushina O., 2017. "Time series analysis of co-movements in the prices of gold and oil: Fractional cointegration approach," Resources Policy, Elsevier, vol. 53(C), pages 117-124.
    11. Tobias Hartl & Roland Weigand, 2018. "Multivariate Fractional Components Analysis," Papers 1812.09149, arXiv.org, revised Jan 2019.
    12. Kellard, Neil & Dunis, Christian & Sarantis, Nicholas, 2010. "Foreign exchange, fractional cointegration and the implied-realized volatility relation," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 882-891, April.
    13. Christensen, Bent Jesper & Kruse, Robinson & Sibbertsen, Philipp, 2013. "A unified framework for testing in the linear regression model under unknown order of fractional integration," Hannover Economic Papers (HEP) dp-519, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    14. Zhenxiong Li & Marwan Izzeldin & Xingzhi Yao, 2020. "Return predictability of variance differences: A fractionally cointegrated approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(7), pages 1072-1089, July.
    15. Kellard, Neil M. & Jiang, Ying & Wohar, Mark, 2015. "Spurious long memory, uncommon breaks and the implied–realized volatility puzzle," Journal of International Money and Finance, Elsevier, vol. 56(C), pages 36-54.
    16. Jason R. Blevins, 2025. "Semiparametric Estimation of Fractional Integration: An Evaluation of Local Whittle Methods," Papers 2511.15689, arXiv.org, revised Dec 2025.
    17. Massimiliano Caporin & C. Vladimir Rodríguez-Caballero & Esther Ruiz, 2024. "The factor structure of exchange rates volatility: global and intermittent factors," Empirical Economics, Springer, vol. 67(1), pages 31-45, July.
    18. Peter M Robinson, 2007. "Multiple Local Whittle Estimation in StationarySystems," STICERD - Econometrics Paper Series 525, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    19. Marcel Aloy & Mohamed Boutahar & Karine Gente & Anne Péguin-feissolle, 2010. "Fractional integration and cointegration in stock prices and exchange rates," Economics Bulletin, AccessEcon, vol. 30(1), pages 115-129.
    20. Marcel Aloy & Gilles de Truchis, 2013. "Optimal Estimation Strategies for Bivariate Fractional Cointegration Systems," AMSE Working Papers 1353, Aix-Marseille School of Economics, France, revised 29 Oct 2013.
    21. de Truchis, Gilles, 2013. "Approximate Whittle analysis of fractional cointegration and the stock market synchronization issue," Economic Modelling, Elsevier, vol. 34(C), pages 98-105.
    22. Luis A. Gil-Alana & Christophe André & Rangan Gupta & Tsangyao Chang & Omid Ranjbar, 2016. "The Feldstein--Horioka puzzle in South Africa: A fractional cointegration approach," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 25(7), pages 978-991, October.
    23. Shimotsu, Katsumi, 2012. "Exact local Whittle estimation of fractionally cointegrated systems," Journal of Econometrics, Elsevier, vol. 169(2), pages 266-278.
    24. Stefanos Kechagias & Vladas Pipiras, 2015. "Definitions And Representations Of Multivariate Long-Range Dependent Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(1), pages 1-25, January.
    25. Giorgio Canarella & Stephen M. Miller, 2016. "Inflation Targeting: New Evidence from Fractional Integration and Cointegration," Working papers 2016-08, University of Connecticut, Department of Economics.
    26. Katarzyna Lasak, 2008. "Maximum likelihood estimation of fractionally cointegrated systems," CREATES Research Papers 2008-53, Department of Economics and Business Economics, Aarhus University.
    27. Gilles de Truchis & Florent Dubois & Elena Ivona Dumitrescu, 2019. "Local Whittle Analysis of Stationary Unbalanced Fractional Cointegration Systems," Working Papers hal-04141882, HAL.
    28. Elkhan Richard Sadik-Zada, 2021. "An Ode to ODA against all Odds? A Novel Game-Theoretical and Empirical Reappraisal of the Terrorism-Aid Nexus," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 49(2), pages 221-240, June.
    29. Robinson, Peter M., 2007. "Multiple local whittle estimation in stationary systems," LSE Research Online Documents on Economics 4436, London School of Economics and Political Science, LSE Library.
    30. Peter M Robinson, 2011. "Inference on Power Law Spatial Trends (Running Title: Power Law Trends)," STICERD - Econometrics Paper Series 556, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    31. Robinson, Peter M., 2011. "Inference on power law spatial trends (Running Title: Power Law Trends)," LSE Research Online Documents on Economics 58100, London School of Economics and Political Science, LSE Library.
    32. Marcel Aloy & Gilles de Truchis, 2012. "Estimation and Testing for Fractional Cointegration," Working Papers halshs-00793206, HAL.
    33. Assaf, Ata & Mokni, Khaled & Yousaf, Imran & Bhandari, Avishek, 2023. "Long memory in the high frequency cryptocurrency markets using fractal connectivity analysis: The impact of COVID-19," Research in International Business and Finance, Elsevier, vol. 64(C).

  51. Haldrup, Niels & Nielsen, Morten Orregaard, 2006. "A regime switching long memory model for electricity prices," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 349-376.
    See citations under working paper version above.
  52. Haldrup Niels & Nielsen Morten Ø., 2006. "Directional Congestion and Regime Switching in a Long Memory Model for Electricity Prices," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(3), pages 1-24, September.
    See citations under working paper version above.
  53. Christensen, Bent Jesper & Nielsen, Morten Orregaard, 2006. "Asymptotic normality of narrow-band least squares in the stationary fractional cointegration model and volatility forecasting," Journal of Econometrics, Elsevier, vol. 133(1), pages 343-371, July.
    See citations under working paper version above.
  54. Nielsen, Morten Orregaard, 2005. "Noncontemporaneous cointegration and the importance of timing," Economics Letters, Elsevier, vol. 86(1), pages 113-119, January.

    Cited by:

    1. Frenkel Michael & Zimmermann Lilli, 2020. "What Drives Germany's Exports?," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 56(2), pages 99-108, June.
    2. Jean-Philippe Gervais & Stephen Devadoss, 2006. "Estimating bargaining strengths of Canadian chicken producers and processors using a bilateral monopoly framework," Agribusiness, John Wiley & Sons, Ltd., vol. 22(2), pages 159-173.
    3. Federico Carlini & Paolo Santucci de Magistris, 2019. "Resuscitating the co-fractional model of Granger (1986)," CREATES Research Papers 2019-02, Department of Economics and Business Economics, Aarhus University.

  55. Morten Ørregaard Nielsen, 2005. "Multivariate Lagrange Multiplier Tests for Fractional Integration," Journal of Financial Econometrics, Oxford University Press, vol. 3(3), pages 372-398.
    See citations under working paper version above.
  56. Morten Ørregaard Nielsen & Per Houmann Frederiksen, 2005. "Finite Sample Comparison of Parametric, Semiparametric, and Wavelet Estimators of Fractional Integration," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 405-443.
    See citations under working paper version above.
  57. Morten Ørregaard Nielsen, 2005. "Semiparametric Estimation in Time‐Series Regression with Long‐Range Dependence," Journal of Time Series Analysis, Wiley Blackwell, vol. 26(2), pages 279-304, March.
    See citations under working paper version above.
  58. Nielsen, Morten Ørregaard, 2004. "Efficient Likelihood Inference In Nonstationary Univariate Models," Econometric Theory, Cambridge University Press, vol. 20(1), pages 116-146, February.
    See citations under working paper version above.
  59. Nielsen, Morten Orregaard, 2004. "Spectral analysis of fractionally cointegrated systems," Economics Letters, Elsevier, vol. 83(2), pages 225-231, May.
    See citations under working paper version above.
  60. Nielsen M.O., 2004. "Optimal Residual-Based Tests for Fractional Cointegration and Exchange Rate Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 331-345, July.
    See citations under working paper version above.
  61. Ørregaard Nielsen, Morten, 2004. "Local empirical spectral measure of multivariate processes with long range dependence," Stochastic Processes and their Applications, Elsevier, vol. 109(1), pages 145-166, January.
    See citations under working paper version above.
  62. Morten Orregaard Nielsen, 2004. "Efficient inference in multivariate fractionally integrated time series models," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 63-97, June.
    See citations under working paper version above.

Software components

    Sorry, no citations of software components recorded.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.