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Erik Hjalmarsson

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.

Working papers

  1. Albert J. Menkveld & Anna Dreber & Felix Holzmeister & Juergen Huber & Magnus Johannesson & Michael Kirchler & Sebastian Neusüss & Michael Razen & Utz Weitzel & David Abad-Díaz & Menachem Abudy & To, 2021. "Non-Standard Errors," Working Paper Series, Social and Economic Sciences 2021-11, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    • Albert J. Menkveld & Anna Dreber & Felix Holzmeister & Juergen Huber & Magnus Johannesson & Michael Kirchler & Sebastian Neussüs & Michael Razen & Utz Weitzel & Christian Brownlees & Javier Gil-Bazo, 2021. "Non-Standard Errors," Working Papers 1303, Barcelona School of Economics.
    • Menkveld, Albert J. & Dreber, Anna & Holzmeister, Felix & Huber, Jürgen & Johannesson, Magnus & Kirchler, Michael & Neusüss, Sebastian & Razen, Michael & Weitzel, Utz, 2021. "Non-standard errors," IWH Discussion Papers 11/2021, Halle Institute for Economic Research (IWH).
    • Albert J. et al. Menkveld, 2021. "Non-Standard Errors," CESifo Working Paper Series 9453, CESifo.
    • Albert J Menkveld & Anna Dreber & Felix Holzmeister & Juergen Huber & Magnus Johannesson & Michael Kirchler & Sebastian Neusüss & Michael Razen & Utz Weitzel & Gunther Capelle-Blancard & David Abad-Dí, 2021. "Non-Standard Errors," Post-Print halshs-03500882, HAL.
    • Menkveld, A. & Dreber, A. & Holzmeister, F. & Huber, J. & Johannesson, M. & Kirchler, M. & Neusüss, S. & Razen, M. & Neusüss, S. & Neusüss, S., 2021. "Non-Standard Errors," Cambridge Working Papers in Economics 2182, Faculty of Economics, University of Cambridge.
    • Menkveld, Albert J. & Dreber, Anna & Holzmeister, Felix & Huber, Juergen & Johannesson, Magnus & Hasse, Jean-Baptiste & e.a.,, 2023. "Non-Standard Errors," LIDAM Reprints LFIN 2023002, Université catholique de Louvain, Louvain Finance (LFIN).
    • Menkveld, Albert J. & Dreber, Anna & Holzmeister, Felix & Huber, Jürgen & Johannesson, Magnus & Kirchler, Michael & Neusüss, Sebastian & Razen, Michael & Weitzel, Utz, 2021. "Non-standard errors," SAFE Working Paper Series 327, Leibniz Institute for Financial Research SAFE.
    • Albert J. Menkveld & Anna Dreber & Felix Holzmeister & Jürgen Huber & Magnus Johannesson & Michael Kirchler & Sebastian Neusüss & Michael Razen & Utz Weitzel & David Abad-Dí­az & Menachem Abudy & Tobi, 2021. "Non-Standard Errors," Working Papers 2021-31, Faculty of Economics and Statistics, Universität Innsbruck.
    • Wolff, Christian & Menkveld, Albert J. & Dreber, Anna & Holzmeister, Felix & Huber, Juergen & Johannesson, Magnus & Kirchler, Michael & Neusüess, Sebastian & Razen, Michael & Weitzel, Utz, 2021. "Non-Standard Errors," CEPR Discussion Papers 16751, C.E.P.R. Discussion Papers.
    • Albert J. Menkveld & Anna Dreber & Felix Holzmeister & Juergen Huber & Magnus Johannesson & Michael Kirchler & Sebastian Neussüs & Michael Razen & Utz Weitzel & Christian T. Brownlees & Javier Gil-Baz, 2021. "Non-standard errors," Economics Working Papers 1807, Department of Economics and Business, Universitat Pompeu Fabra.
    • Menkveld, Albert J. & Dreber, Anna & Holzmeister, Felix & Huber, Juergen & Johannesson, Magnus & Kirchler, Michael & Neusüss, Sebastian & Razen, Michael & Weitzel, Utz & Abad-Díaz, David & Abudy, Mena, 2021. "Non-Standard Errors," Working Papers 2021:17, Lund University, Department of Economics.
    • Albert J. Menkveld & Anna Dreber & Felix Holzmeister & Juergen Huber & Magnus Johannesson & Michael Kirchler & Sebastian Neusüss & Michael Razen & Utz Weitzel & Edwin Baidoo & Michael Frömmel & et al, 2021. "Non-Standard Errors," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 21/1032, Ghent University, Faculty of Economics and Business Administration.
    • Francesco Franzoni & Roxana Mihet & Markus Leippold & Per Ostberg & Olivier Scaillet & Norman Schürhoff & Oksana Bashchenko & Nicola Mano & Michele Pelli, 2022. "Non-Standard Errors," Swiss Finance Institute Research Paper Series 22-09, Swiss Finance Institute.
    • Moinas, Sophie & Declerck, Fany & Menkveld, Albert J. & Dreber, Anna, 2023. "Non-Standard Errors," TSE Working Papers 23-1451, Toulouse School of Economics (TSE).
    • Ferrara, Gerardo & Jurkatis, Simon, 2021. "Non-standard errors," Bank of England working papers 955, Bank of England.
    • Albert J Menkveld & Anna Dreber & Felix Holzmeister & Juergen Huber & Magnus Johannesson & Michael Kirchler & Sebastian Neusüss & Michael Razen & Utz Weitzel & Gunther Capelle-Blancard & David Abad-Dí, 2021. "Non-Standard Errors," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03500882, HAL.
    • Ciril Bosch-Rosa & Bernhard Kassner, 2023. "Non-Standard Errors," Rationality and Competition Discussion Paper Series 385, CRC TRR 190 Rationality and Competition.
    • Menkveld, A. & Dreber, A. & Holzmeister, F. & Huber, J. & Johannesson, M. & Kirchler, M. & Neusüss, S. & Razen, M. & Neusüss, S. & Neusüss, S., 2021. "Non-Standard Errors," Janeway Institute Working Papers 2112, Faculty of Economics, University of Cambridge.
    • Albert J. Menkveld & Anna Dreber & Félix Holzmeister & Juergen Huber & Magnus Johannesson & Michael Kirchler & Sebastian Neusüss & Michael Razen & Utz Weitzel & Gunther Capelle-Blancard, 2021. "Non-Standard Errors," Documents de travail du Centre d'Economie de la Sorbonne 21033, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.

    Cited by:

    1. Guillaume Coqueret, 2023. "Forking paths in financial economics," Papers 2401.08606, arXiv.org.
    2. Fišar, Miloš & Greiner, Ben & Huber, Christoph & Katok, Elena & Ozkes, Ali & Collaboration, Management Science Reproducibility, 2023. "Reproducibility in Management Science," OSF Preprints mydzv, Center for Open Science.
    3. Christoph Huber & Christian König-Kersting, 2022. "Experimenting with Financial Professionals," Working Papers 2022-07, Faculty of Economics and Statistics, Universität Innsbruck.
    4. Dreber, Anna & Johannesson, Magnus, 2023. "A framework for evaluating reproducibility and replicability in economics," I4R Discussion Paper Series 38, The Institute for Replication (I4R).
    5. Müller, Isabella & Noth, Felix & Tonzer, Lena, 2022. "A note on the use of syndicated loan data," IWH Discussion Papers 17/2022, Halle Institute for Economic Research (IWH).
    6. Christophe Pérignon & Olivier Akmansoy & Christophe Hurlin & Anna Dreber & Felix Holzmeister & Juergen Huber & Magnus Johanneson & Michael Kirchler & Albert Menkveld & Michael Razen & Utz Weitzel, 2022. "Reproducibility of Empirical Results: Evidence from 1,000 Tests in Finance," Working Papers hal-03810013, HAL.
    7. Breznau, Nate & Rinke, Eike Mark & Wuttke, Alexander & Nguyen, Hung H. V. & Adem, Muna & Adriaans, Jule & Alvarez-Benjumea, Amalia & Andersen, Henrik K. & Auer, Daniel & Azevedo, Flavio & Bahnsen, Oke, 2022. "Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 119(44), pages 1-8.
    8. Stephen A. Gorman & Frank J. Fabozzi, 2023. "Alternative risk premium: specification noise," Journal of Asset Management, Palgrave Macmillan, vol. 24(6), pages 459-473, October.

  2. Alain P. Chaboud & Erik Hjalmarsson & Filip Zikes, 2020. "The Evolution of Price Discovery in an Electronic Market," Finance and Economics Discussion Series 2020-051, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Papavassiliou, Vassilios G. & Kinateder, Harald, 2021. "Information shares and market quality before and during the European sovereign debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    2. Francis Breedon & Louisa Chen & Angelo Ranaldo & Nicholas Vause, 2019. "Judgment Day: Algorithmic Trading Around The Swiss Franc Cap Removal," Working Papers on Finance 1912, University of St. Gallen, School of Finance.
    3. Wu, Zhen-Xing & Gau, Yin-Feng & Chen, Yu-Lun, 2023. "Price discovery and triangular arbitrage in currency markets," Journal of International Money and Finance, Elsevier, vol. 137(C).
    4. Donald Lien & Pi-Hsia Hung, 2023. "Whose trades contribute more to price discovery? Evidence from the Taiwan stock exchange," Review of Quantitative Finance and Accounting, Springer, vol. 61(1), pages 213-263, July.
    5. Wu, Zhen-Xing & Gau, Yin-Feng, 2022. "Informativeness of trades around macroeconomic announcements in the foreign exchange market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    6. Bufalo, Michele & Orlando, Giuseppe, 2023. "A three-factor stochastic model for forecasting production of energy materials," Finance Research Letters, Elsevier, vol. 51(C).

  3. Hjalmarsson, Erik & Österholm, Pär, 2017. "Households’ Mortgage-Rate Expectations: More Realistic than at First Glance?," Working Papers 2017:9, Örebro University, School of Business.

    Cited by:

    1. Hjalmarsson, Erik & Österholm, Pär, 2019. "A micro-data analysis of households’ expectations of mortgage rates," Economics Letters, Elsevier, vol. 185(C).
    2. Kladivko, Kamil & Österholm, Pär, 2020. "Can Households Predict where the Macroeconomy is Headed?," Working Papers 2020:11, Örebro University, School of Business.

  4. Benos, Evangelos & Brugler, James & Hjalmarsson , Erik & Zikes , Filip, 2015. "Interactions among high-frequency traders," Bank of England working papers 523, Bank of England.

    Cited by:

    1. Arumugam, Devika & Prasanna, P. Krishna & Marathe, Rahul R., 2023. "Do algorithmic traders exploit volatility?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    2. Benos, Evangelos & Sagade, Satchit, 2016. "Price discovery and the cross-section of high-frequency trading," Journal of Financial Markets, Elsevier, vol. 30(C), pages 54-77.
    3. Breckenfelder, Johannes, 2019. "Competition among high-frequency traders, and market quality," Working Paper Series 2290, European Central Bank.
    4. Chaboud, Alain & Hjalmarsson, Erik & Zikes, Filip, 2021. "The evolution of price discovery in an electronic market," Journal of Banking & Finance, Elsevier, vol. 130(C).
    5. Zura Kakushadze & Juan Andrés Serur, 2018. "151 Trading Strategies," Springer Books, Springer, number 978-3-030-02792-6, September.
    6. Yan Chen & Peter Cramton & John A. List & Axel Ockenfels, 2020. "Market Design, Human Behavior, and Management," NBER Working Papers 26873, National Bureau of Economic Research, Inc.
    7. Klein, Olga & Song, Shiyun, 2021. "Commonality in intraday liquidity and multilateral trading facilities: Evidence from Chi-X Europe," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    8. Sánchez Serrano Antonio, 2020. "High-Frequency Trading and Systemic Risk: A Structured Review of Findings and Policies," Review of Economics, De Gruyter, vol. 71(3), pages 169-195, December.
    9. Arumugam, Devika & Krishna Prasanna, P., 2021. "Commonality and contrarian trading among algorithmic traders," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    10. Anderson, Nicola & Webber, Lewis & Noss, Joseph & Beale, Daniel & Crowley-Reidy, Liam, 2015. "Financial Stability Paper 34: The resilience of financial market liquidity," Bank of England Financial Stability Papers 34, Bank of England.
    11. Dodd, Olga & Frijns, Bart & Indriawan, Ivan & Pascual, Roberto, 2023. "US cross-listing and domestic high-frequency trading: Evidence from Canadian stocks," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 301-320.
    12. Arumugam, Devika, 2023. "Algorithmic trading: Intraday profitability and trading behavior," Economic Modelling, Elsevier, vol. 128(C).
    13. Karvik, Geir-Are & Noss, Joseph & Worlidge, Jack & Beale, Daniel, 2018. "The deeds of speed: an agent-based model of market liquidity and flash episodes," Bank of England working papers 743, Bank of England.
    14. Anagnostidis, Panagiotis & Fontaine, Patrice, 2020. "Liquidity commonality and high frequency trading: Evidence from the French stock market," International Review of Financial Analysis, Elsevier, vol. 69(C).
    15. Van Vliet, Ben, 2017. "Capability satisficing in high frequency trading," Research in International Business and Finance, Elsevier, vol. 42(C), pages 509-521.
    16. Ramos, Henrique Pinto & Perlin, Marcelo Scherer, 2020. "Does algorithmic trading harm liquidity? Evidence from Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

  5. Erik Hjalmarsson & Peter Manchev, 2009. "Characteristic-based mean-variance portfolio choice," International Finance Discussion Papers 981, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Ammann, Manuel & Coqueret, Guillaume & Schade, Jan-Philip, 2016. "Characteristics-based Portfolio Choice with Leverage Constraints," Working Papers on Finance 1607, University of St. Gallen, School of Finance.
    2. Thomas Conlon & John Cotter & Iason Kynigakis, 2021. "Machine Learning and Factor-Based Portfolio Optimization," Working Papers 202111, Geary Institute, University College Dublin.
    3. Auh, Jun Kyung & Cho, Wonho, 2023. "Factor-based portfolio optimization," Economics Letters, Elsevier, vol. 228(C).
    4. Ardia, David & Boudt, Kris & Wauters, Marjan, 2016. "The economic benefits of market timing the style allocation of characteristic-based portfolios," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 38-62.
    5. Moura, Guilherme V. & Santos, André A.P. & Ruiz, Esther, 2020. "Comparing high-dimensional conditional covariance matrices: Implications for portfolio selection," Journal of Banking & Finance, Elsevier, vol. 118(C).
    6. Jiang, Chonghui & Du, Jiangze & An, Yunbi & Zhang, Jinqing, 2021. "Factor tracking: A new smart beta strategy that outperforms naïve diversification," Economic Modelling, Elsevier, vol. 96(C), pages 396-408.
    7. Chia, Rui Ming Daryl & Lim, Kai Jie Shawn, 2012. "The Attenuation of Idiosyncratic Risk under Alternative Portfolio Weighting Strategies: Recent Evidence from the UK Equity Market," MPRA Paper 41455, University Library of Munich, Germany.
    8. Ni, Xuanming & Zheng, Tiantian & Zhao, Huimin & Zhu, Shushang, 2023. "High-dimensional portfolio optimization based on tree-structured factor model," Pacific-Basin Finance Journal, Elsevier, vol. 81(C).
    9. Xia, Hui & Min, Xinyu & Deng, Shijie, 2015. "Effectiveness of earnings forecasts in efficient global portfolio construction," International Journal of Forecasting, Elsevier, vol. 31(2), pages 568-574.
    10. Ge, S. & Li, S. & Linton, O., 2020. "A Dynamic Network of Arbitrage Characteristics," Cambridge Working Papers in Economics 2060, Faculty of Economics, University of Cambridge.
    11. Yong-Jun Liu & Wei-Guo Zhang, 2019. "Possibilistic Moment Models for Multi-period Portfolio Selection with Fuzzy Returns," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1657-1686, April.
    12. Guillaume Chevalier & Guillaume Coqueret & Thomas Raffinot, 2022. "Supervised portfolios," Post-Print hal-04144588, HAL.
    13. Xu, Qifa & Li, Mengting & Jiang, Cuixia, 2021. "Network-augmented time-varying parametric portfolio selection: Evidence from the Chinese stock market," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    14. Ioannis Branikas & Harrison Hong & Jiangmin Xu, 2017. "Location Choice, Portfolio Choice," NBER Working Papers 23040, National Bureau of Economic Research, Inc.

  6. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Clara Vega, 2009. "Rise of the machines: algorithmic trading in the foreign exchange market," International Finance Discussion Papers 980, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Dionne, Georges & Zhou, Xiaozhou, 2019. "Information Environments and High Price Impact Trades: Implication for Volatility and Price Efficiency," Working Papers 19-3, HEC Montreal, Canada Research Chair in Risk Management, revised 04 Nov 2019.
    2. Baoqiang Zhan & Shu Zhang & Helen S. Du & Xiaoguang Yang, 2022. "Exploring Statistical Arbitrage Opportunities Using Machine Learning Strategy," Computational Economics, Springer;Society for Computational Economics, vol. 60(3), pages 861-882, October.
    3. Benos, Evangelos & Sagade, Satchit, 2012. "High-frequency trading behaviour and its impact on market quality: evidence from the UK equity market," Bank of England working papers 469, Bank of England.
    4. Bellia, Mario & Christensen, Kim & Kolokolov, Aleksey & Pelizzon, Loriana & Renò, Roberto, 2022. "Do designated market makers provide liquidity during a flash crash?," SAFE Working Paper Series 270, Leibniz Institute for Financial Research SAFE, revised 2022.
    5. Salman Bahoo & Marco Cucculelli & Xhoana Goga & Jasmine Mondolo, 2024. "Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis," SN Business & Economics, Springer, vol. 4(2), pages 1-46, February.
    6. Arumugam, Devika & Prasanna, P. Krishna & Marathe, Rahul R., 2023. "Do algorithmic traders exploit volatility?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    7. Gradojevic, Nikola & Erdemlioglu, Deniz & Gençay, Ramazan, 2020. "A new wavelet-based ultra-high-frequency analysis of triangular currency arbitrage," Economic Modelling, Elsevier, vol. 85(C), pages 57-73.
    8. Álvaro Cartea & José Penalva, 2012. "Where is the Value in High Frequency Trading?," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 2(03), pages 1-46.
    9. Kang, Jongho & Kang, Jangkoo & Kwon, Kyung Yoon, 2022. "Market versus limit orders of speculative high-frequency traders and price discovery," Research in International Business and Finance, Elsevier, vol. 63(C).
    10. Robert J. Kauffman & Yuzhou Hu & Dan Ma, 2015. "Will high-frequency trading practices transform the financial markets in the Asia Pacific Region?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 1(1), pages 1-27, December.
    11. Ms. Thornton Matheson, 2011. "Taxing Financial Transactions: Issues and Evidence," IMF Working Papers 2011/054, International Monetary Fund.
    12. Oliver Linton & Soheil Mahmoodzadeh, 2018. "Implications of High-Frequency Trading for Security Markets," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 237-259, August.
    13. Stephanie Ligot & Roland Gillet & Iryna Veryzhenko, 2021. "Intraday volatility smile: Effects of fragmentation and high frequency trading on price efficiency," Post-Print hal-03621248, HAL.
    14. Ben Ammar, Imen & Hellara, Slaheddine, 2022. "High-frequency trading, stock volatility, and intraday crashes," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 337-344.
    15. George Jiang & Ingrid Lo & Giorgio Valente, 2014. "High-Frequency Trading around Macroeconomic News Announcements: Evidence from the U.S. Treasury Market," Staff Working Papers 14-56, Bank of Canada.
    16. Aggarwal, Nidhi & Panchapagesan, Venkatesh & Thomas, Susan, 2023. "When is the order-to-trade ratio fee effective?," Journal of Financial Markets, Elsevier, vol. 62(C).
    17. Foucault , Thierry & Kozhan , Roman, 2014. "Toxic Arbitrage," HEC Research Papers Series 1040, HEC Paris.
    18. Qixuan Luo & Yu Shi & Xuan Zhou & Handong Li, 2021. "Research on the Effects of Institutional Liquidation Strategies on the Market Based on Multi-agent Model," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1025-1049, December.
    19. Ladislav Kristoufek & Miloslav Vosvrda, 2015. "Gold, currencies and market efficiency," Papers 1510.08615, arXiv.org.
    20. Bank, Matthias & Baumann, Ralf H., 2016. "Price formation, market quality and the effects of reduced latency in the very short run," Research in International Business and Finance, Elsevier, vol. 37(C), pages 629-645.
    21. Tao Chen & Kam C. Chan & Haodong Chang, 2022. "Periodicity of trading activity in foreign exchange markets," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 45(2), pages 445-465, June.
    22. Seddon, Jonathan J.J.M. & Currie, Wendy L., 2017. "A model for unpacking big data analytics in high-frequency trading," Journal of Business Research, Elsevier, vol. 70(C), pages 300-307.
    23. Linnenluecke, Martina K. & Chen, Xiaoyan & Ling, Xin & Smith, Tom & Zhu, Yushu, 2017. "Research in finance: A review of influential publications and a research agenda," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 188-199.
    24. Le, Anh Tu & Le, Thai-Ha & Liu, Wai-Man & Fong, Kingsley Y., 2020. "Multiple duration analyses of dynamic limit order placement strategies and aggressiveness in a low-latency market environment," International Review of Financial Analysis, Elsevier, vol. 72(C).
    25. Frino, Alex & Mollica, Vito & Webb, Robert I. & Zhang, Shunquan, 2017. "The impact of latency sensitive trading on high frequency arbitrage opportunities," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 91-102.
    26. James Schmitz & David Rothschild, 2019. "Understanding market functionality and trading success," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-28, August.
    27. Roşu, Ioanid, 2019. "Fast and slow informed trading," Journal of Financial Markets, Elsevier, vol. 43(C), pages 1-30.
    28. Georges Dionne & Maria Pacurar & Xiaozhou Zhou, 2014. "Liquidity-adjusted Intraday Value at Risk modeling and Risk Management: an Application to Data from Deutsche Börse," Cahiers de recherche 1414, CIRPEE.
    29. Erdinc Akyildirim & Shaen Corbet & Guzhan Gulay & Duc Khuong Nguyen & Ahmet Sensoy, 2019. "Order Flow Persistence in Equity Spot and Futures Markets: Evidence from a Dynamic Emerging Market," Working Papers 2019-011, Department of Research, Ipag Business School.
    30. Degryse, H.A. & de Jong, F.C.J.M. & van Kervel, V.L., 2014. "The impact of dark trading and visible fragmentation on market quality," Other publications TiSEM a51b5d9e-2687-4972-930f-4, Tilburg University, School of Economics and Management.
    31. Craig W. Holden & Stacey Jacobsen & Avanidhar Subrahmanyam, 2014. "The Empirical Analysis of Liquidity," Foundations and Trends(R) in Finance, now publishers, vol. 8(4), pages 263-365, December.
    32. Buckmann, Marcus & Haldane, Andy & Hüser, Anne-Caroline, 2021. "Comparing minds and machines: implications for financial stability," Bank of England working papers 937, Bank of England.
    33. Bernales, Alejandro, 2019. "Make-take decisions under high-frequency trading competition," Journal of Financial Markets, Elsevier, vol. 45(C), pages 1-18.
    34. Corgnet, Brice & DeSantis, Mark & Siemroth, Christoph, 2023. "Algorithmic Trading, Price Efficiency and Welfare: An Experimental Approach," Economics Discussion Papers 36273, University of Essex, Department of Economics.
    35. Chaboud, Alain & Hjalmarsson, Erik & Zikes, Filip, 2021. "The evolution of price discovery in an electronic market," Journal of Banking & Finance, Elsevier, vol. 130(C).
    36. Morten Linnemann Bech & Anamaria Illes & Ulf Lewrick & Andreas Schrimpf, 2016. "Hanging up the phone - electronic trading in fixed income markets and its implications," BIS Quarterly Review, Bank for International Settlements, March.
    37. Ya‐Kai Chang & Robin K. Chou, 2022. "Algorithmic trading and market quality: Evidence from the Taiwan index futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1837-1855, October.
    38. Angelo Ranaldo & Fabricius Somogyi, 2018. "Asymmetric Information Risk in FX Markets," Working Papers on Finance 1820, University of St. Gallen, School of Finance, revised Apr 2020.
    39. Chordia, Tarun & Miao, Bin, 2020. "Market efficiency in real time: Evidence from low latency activity around earnings announcements," Journal of Accounting and Economics, Elsevier, vol. 70(2).
    40. Boilard, J.-F. & Kanazawa, K. & Takayasu, H. & Takayasu, M., 2018. "Empirical scaling relations of market event rates in foreign currency market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 1152-1161.
    41. John Cotter & Niall McGeever, 2018. "Are equity market anomalies disappearing? Evidence from the U.K," Working Papers 201804, Geary Institute, University College Dublin.
    42. Dimitrios Vezeris & Themistoklis Kyrgos & Christos Schinas, 2018. "Take Profit and Stop Loss Trading Strategies Comparison in Combination with an MACD Trading System," JRFM, MDPI, vol. 11(3), pages 1-23, September.
    43. Han, Bing & Tang, Ya & Yang, Liyan, 2016. "Public information and uninformed trading: Implications for market liquidity and price efficiency," Journal of Economic Theory, Elsevier, vol. 163(C), pages 604-643.
    44. Massimiliano Caporin & Loriana Pelizzon & Francesco Ravazzolo & Roberto Rigobon, 2013. "Measuring Sovereign Contagion in Europe," NBER Working Papers 18741, National Bureau of Economic Research, Inc.
    45. Aitken, Michael & Cumming, Douglas & Zhan, Feng, 2013. "High frequency trading and end-of-day price dislocation," CFS Working Paper Series 2013/16, Center for Financial Studies (CFS).
    46. Pelizzon, Loriana & Subrahmanyam, Marti G. & Tomio, Davide & Uno, Jun, 2015. "Sovereign credit risk, liquidity, and ECB intervention: Deus ex machina?," SAFE Working Paper Series 95, Leibniz Institute for Financial Research SAFE.
    47. Michael R King & Dagfinn Rime, 2011. "The $4 trillion question: what explains FX growth since the 2007 survey?," BIS Quarterly Review, Bank for International Settlements, March.
    48. Ibikunle, Gbenga & Aquilina, Matteo & Diaz-Rainey, Ivan & Sun, Yuxin, 2021. "City goes dark: Dark trading and adverse selection in aggregate markets," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 1-22.
    49. Giancarlo Corsetti & Romain Lafarguette & Arnaud Mehl, 2019. "Fast Trading and the Virtue of Entropy: Evidence from the Foreign Exchange Market," Discussion Papers 1914, Centre for Macroeconomics (CFM).
    50. Keller, Jonas & von der Gracht, Heiko A., 2014. "The influence of information and communication technology (ICT) on future foresight processes — Results from a Delphi survey," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 81-92.
    51. Fabrice Rousseau & Herve Boco & Laurent Germain, 2020. "High Frequency Trading: Strategic Competition Between Slow and Fast Traders," Economics Department Working Paper Series n296-20.pdf, Department of Economics, National University of Ireland - Maynooth.
    52. Martín García, Rodrigo & Ventura Pérez, Enrique & Arguedas Sanz, Raquel, 2020. "Temporal optimisation of signals emitted automatically by securities exchange indicators," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
    53. Ravi Kashyap, 2019. "Imitation in the Imitation Game," Papers 1911.06893, arXiv.org.
    54. Kyungsub Lee & Byoung Ki Seo, 2019. "Marked Hawkes process modeling of price dynamics and volatility estimation," Papers 1907.12025, arXiv.org.
    55. Hasbrouck, Joel & Levich, Richard M., 2021. "Network structure and pricing in the FX market," Journal of Financial Economics, Elsevier, vol. 141(2), pages 705-729.
    56. Andrikopoulos, Panagiotis & Kallinterakis, Vasileios & Leite Ferreira, Mario Pedro & Verousis, Thanos, 2017. "Intraday herding on a cross-border exchange," International Review of Financial Analysis, Elsevier, vol. 53(C), pages 25-36.
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    2. Peter Spencer & Zhuoshi Liu, "undated". "An Open-Economy Macro-Finance Model of Internatinal Interdependence: The OECD, US and the UK," Discussion Papers 09/16, Department of Economics, University of York.
    3. Bulkley, George & Harris, Richard D.F. & Nawosah, Vivekanand, 2011. "Revisiting the expectations hypothesis of the term structure of interest rates," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1202-1212, May.
    4. Stelios Bekiros & Christos Avdoulas, 2020. "Revisiting the Dynamic Linkages of Treasury Bond Yields for the BRICS: A Forecasting Analysis," Forecasting, MDPI, vol. 2(2), pages 1-28, May.
    5. Knezevic, David & Nordström, Martin & Österholm, Pär, 2019. "The Relation between Municipal and Government Bond Yields in an Era of Unconventional Monetary Policy," Working Papers 2019:6, Örebro University, School of Business.
    6. Hernandis, Lucía & Torró, Hipòlit, 2013. "The information content of Eonia swap rates before and during the financial crisis," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5316-5328.
    7. Kladívko, Kamil & Österholm, Pär, 2021. "Do market participants’ forecasts of financial variables outperform the random-walk benchmark?," Finance Research Letters, Elsevier, vol. 40(C).
    8. Nautz, Dieter & Schmidt, Sandra, 2009. "Monetary policy implementation and the federal funds rate," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1274-1284, July.
    9. Caroline JARDET & Alain MONFORT & Fulvio PEGORARO, 2011. "No-arbitrage Near-Cointegrated VAR(p) Term Structure Models, Term Premia and GDP Growth," Working Papers 2011-03, Center for Research in Economics and Statistics.
    10. Paul Francois Muzindutsi & Sinethemba Mposelwa, 2016. "Testing the Expectations Hypothesis of the Term Structure of Interest Rates in Brics Countries: A Multivariate Co-integration Approach," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 12(4), pages 289-304, October.
    11. Kumar Narayan, Paresh & Narayan, Seema & Popp, Stephan, 2010. "Energy consumption at the state level: The unit root null hypothesis from Australia," Applied Energy, Elsevier, vol. 87(6), pages 1953-1962, June.
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    13. Harrathi Nizar & Alhoshan Hamed M., 2020. "Validity of the Expectations Hypothesis of the Term Structure of Interest Rates: The Case of Saudi Arabia," Review of Middle East Economics and Finance, De Gruyter, vol. 16(1), pages 1-18, April.
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  8. Erik Hjalmarsson, 2008. "Predicting global stock returns," International Finance Discussion Papers 933, Board of Governors of the Federal Reserve System (U.S.).

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    1. William N. Goetzmann & Dasol Kim, 2017. "Negative Bubbles: What Happens After a Crash," NBER Working Papers 23830, National Bureau of Economic Research, Inc.
    2. Philippe Bacchetta & Simon Tièche & Eric van Wincoop, 2020. "International Portfolio Choice with Frictions: Evidence from Mutual Funds," Swiss Finance Institute Research Paper Series 20-46, Swiss Finance Institute.
    3. Papapostolou, Nikos C. & Pouliasis, Panos K. & Nomikos, Nikos K. & Kyriakou, Ioannis, 2016. "Shipping investor sentiment and international stock return predictability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 96(C), pages 81-94.
    4. 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.
    5. Chang, C-L. & Ilomäki, J. & Laurila, H. & McAleer, M.J., 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Econometric Institute Research Papers EI2018-39, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Dr. Thomas Nitschka, 2012. "Global and country-specific business cycle risk in time-varying excess returns on asset markets," Working Papers 2012-10, Swiss National Bank.
    7. Mingwei Sun & Paskalis Glabadanidis, 2022. "Can technical indicators predict the Chinese equity risk premium?," International Review of Finance, International Review of Finance Ltd., vol. 22(1), pages 114-142, March.
    8. Narayan, Paresh Kumar & Sharma, Susan Sunila & Thuraisamy, Kannan S., 2015. "Can governance quality predict stock market returns? New global evidence," Pacific-Basin Finance Journal, Elsevier, vol. 35(PA), pages 367-380.
    9. Chen, Jian & Jiang, Fuwei & Xue, Shuyu & Yao, Jiaquan, 2019. "The world predictive power of U.S. equity market skewness risk," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 210-227.
    10. Ahmed, Walid M.A. & Sleem, Mohamed A.E., 2023. "Short- and long-run determinants of the price behavior of US clean energy stocks: A dynamic ARDL simulations approach," Energy Economics, Elsevier, vol. 124(C).
    11. Akgun, Oguzhan & Pirotte, Alain & Urga, Giovanni, 2020. "Forecasting using heterogeneous panels with cross-sectional dependence," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1211-1227.
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    13. Westerlund, Joakim & Urbain, Jean-Pierre, 2013. "On the implementation and use of factor-augmented regressions in panel data," Journal of Asian Economics, Elsevier, vol. 28(C), pages 3-11.
    14. David Haab & Dr. Thomas Nitschka, 2017. "Predicting returns on asset markets of a small, open economy and the influence of global risks," Working Papers 2017-14, Swiss National Bank.
    15. Goodness C. Aye & Mehmet Balcilar & Rangan Gupta, 2015. "International Stock Return Predictability: Is the Role of U.S. Time-Varying?," Working Papers 201524, University of Pretoria, Department of Economics.
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    62. López Gaviria, José Ignacio, 2019. "Predictibilidad del mercado accionario colombiano," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 91, pages 117-150, July.
    63. Wang, Wenzhao & Su, Chen & Duxbury, Darren, 2021. "Investor sentiment and stock returns: Global evidence," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 365-391.
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    78. Yufeng Han & Lingfei Kong, 2022. "A trend factor in commodity futures markets: Any economic gains from using information over investment horizons?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(5), pages 803-822, May.
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    81. Erik Hjalmarsson & Tamas Kiss, 2022. "Long‐run predictability tests are even worse than you thought," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1334-1355, November.
    82. Hjalmarsson, Erik & Manchev, Petar, 2012. "Characteristic-based mean-variance portfolio choice," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1392-1401.
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    89. Cakici, Nusret & Zaremba, Adam, 2023. "Misery on Main Street, victory on Wall Street: Economic discomfort and the cross-section of global stock returns," Journal of Banking & Finance, Elsevier, vol. 149(C).
    90. Zaremba, Adam & Cakici, Nusret & Bianchi, Robert J. & Long, Huaigang, 2023. "Interest rate changes and the cross-section of global equity returns," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
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    92. Zaremba, Adam & Kizys, Renatas & Tzouvanas, Panagiotis & Aharon, David Y. & Demir, Ender, 2021. "The quest for multidimensional financial immunity to the COVID-19 pandemic: Evidence from international stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
    93. Westerlund, Joakim & Narayan, Paresh, 2016. "Testing for predictability in panels of any time series dimension," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1162-1177.
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    95. Theophilos Papadimitriou & Periklis Gogas & Athanasios Fotios Athanasiou, 2020. "Forecasting S&P 500 spikes: an SVM approach," Digital Finance, Springer, vol. 2(3), pages 241-258, December.
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  9. Erik Hjalmarsson, 2008. "Interpreting long-horizon estimates in predictive regressions," International Finance Discussion Papers 928, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Maynard, Alex & Ren, Dongmeng, 2019. "The finite sample power of long-horizon predictive tests in models with financial bubbles," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 418-430.
    2. Hjalmarsson, Erik, 2012. "Some curious power properties of long-horizon tests," Finance Research Letters, Elsevier, vol. 9(2), pages 81-91.
    3. Hjalmarsson, Erik, 2018. "Maximal predictability under long-term mean reversion," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 269-282.

  10. Benjamin Chiquoine & Erik Hjalmarsson, 2008. "Jackknifing stock return predictions," International Finance Discussion Papers 932, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Han, Xing & Li, Youwei, 2017. "Can investor sentiment be a momentum time-series predictor? Evidence from China," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 212-239.
    2. Michael Scholz & Jens Perch Nielsen & Stefan Sperlich, 2012. "Nonparametric prediction of stock returns guided by prior knowledge," Graz Economics Papers 2012-02, University of Graz, Department of Economics.
    3. Ye Chen & Jun Yu, 2011. "Optimal Jackknife for Discrete Time and Continuous Time Unit Root Models," Working Papers 12-2011, Singapore Management University, School of Economics.
    4. Morales-Arias, Leonardo & Moura, Guilherme V., 2013. "Adaptive forecasting of exchange rates with panel data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 493-509.
    5. Mauro Costantini & Ricardo M. Sousa, 2020. "Consumption, asset wealth, equity premium, term spread, and flight to quality," European Financial Management, European Financial Management Association, vol. 26(3), pages 778-807, June.

  11. Erik Hjalmarsson & Pär Österholm, 2007. "A residual-based cointegration test for near unit root variables," International Finance Discussion Papers 907, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Meredith J. Beechey & Erik Hjalmarsson & Pär Österholm, 2008. "Testing the expectations hypothesis when interest rates are near integrated," International Finance Discussion Papers 953, Board of Governors of the Federal Reserve System (U.S.).
    2. Felicitas Nowak-Lehmann D. & Inmaculada Martínez-Zarzoso & Dierk Herzer & Stephan Klasen & Axel Dreher, 2009. "In Search for a Long-run Relationship between Aid and Growth: Pitfalls and Findings," Ibero America Institute for Econ. Research (IAI) Discussion Papers 196, Ibero-America Institute for Economic Research.

  12. Erik Hjalmarsson, 2007. "The Stambaugh bias in panel predictive regressions," International Finance Discussion Papers 914, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Döring, Simon & Drobetz, Wolfgang & Janzen, Malte & Meier, Iwan, 2018. "Global cash flow sensitivities," Finance Research Letters, Elsevier, vol. 25(C), pages 16-22.
    2. Ayelen Banegas, 2016. "Predictability of Growth in Emerging Markets: Information in Financial Aggregates," International Finance Discussion Papers 1174, Board of Governors of the Federal Reserve System (U.S.).
    3. Robin Greenwood & Samuel G. Hanson & Andrei Shleifer & Jakob Ahm Sørensen, 2022. "Predictable Financial Crises," Journal of Finance, American Finance Association, vol. 77(2), pages 863-921, April.
    4. Wang, Cindy S.H. & Chen, Yi-Chi & Lo, Hsin-Yu, 2021. "A fresh look at the risk-return tradeoff," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    5. Victor Troster & José Penalva & Abderrahim Taamouti & Dominik Wied, 2021. "Cointegration, information transmission, and the lead‐lag effect between industry portfolios and the stock market," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1291-1309, November.
    6. Hagenhoff, Tim & Lustenhouwer, Joep, 2020. "The role of stickiness, extrapolation and past consensus forecasts in macroeconomic expectations," Working Papers 0686, University of Heidelberg, Department of Economics.
    7. Karabiyik, Hande & Westerlund, Joakim & Narayan, Paresh, 2016. "On the estimation and testing of predictive panel regressions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 45(C), pages 115-125.
    8. Lawrenz, Jochen & Zorn, Josef, 2018. "Decomposing the predictive power of local and global financial valuation ratios," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 137-149.
    9. Skintzi, Vasiliki, 2017. "Determinants of stock-bond market comovement in the Eurozone under model uncertainty," MPRA Paper 78278, University Library of Munich, Germany.
    10. Westerlund, J. & Smeekes, S., 2013. "Robust block bootstrap panel predictability tests," Research Memorandum 060, Maastricht University, Graduate School of Business and Economics (GSBE).
    11. Devpura, Neluka & Narayan, Paresh Kumar & Sharma, Susan Sunila, 2018. "Is stock return predictability time-varying?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 52(C), pages 152-172.
    12. Malte Rengel, 2020. "Sustainability of European fiscal balances: Just a statistical artifact?," Empirical Economics, Springer, vol. 58(4), pages 1681-1712, April.
    13. Westerlund, Joakim & Narayan, Paresh Kumar & Zheng, Xinwei, 2015. "Testing for stock return predictability in a large Chinese panel," Emerging Markets Review, Elsevier, vol. 24(C), pages 81-100.
    14. Hagenhoff, Tim & Lustenhouwer, Joep, 2020. "The role of stickiness, extrapolation and past consensus forecasts in macroeconomic expectations," BERG Working Paper Series 163, Bamberg University, Bamberg Economic Research Group.
    15. Westerlund, Joakim & Narayan, Paresh, 2016. "Testing for predictability in panels of any time series dimension," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1162-1177.

  13. Erik Hjalmarsson & Pär Österholm, 2007. "Testing for cointegration using the Johansen methodology when variables are near-integrated," International Finance Discussion Papers 915, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Duran-Vazquez, Rocio & Lorenzo-Valdes, Arturo & Ruiz-Porras, Antonio, 2011. "Valuation of Latin-American stock prices with alternative versions of the Ohlson model: An investigation of cointegration relationships with time-series and panel-data," MPRA Paper 31354, University Library of Munich, Germany.
    2. Chakraborty, Debashis & Mukherjee, Jaydeep & Lee, Jaewook, 2016. "Do FDI Inflows influence Merchandise Exports? Causality Analysis on India over 1991-2016," MPRA Paper 74851, University Library of Munich, Germany.
    3. Peggy Schrobback & Eriko Hoshino & Sean Pascoe & Robert Curtotti, 2022. "Market integration of domestic and imported seafood: Insights from the Sydney Fish Market," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(1), pages 216-236, January.
    4. Vera Jotanovic & Rita Laura D’Ecclesia, 2021. "The European gas market: new evidences," Annals of Operations Research, Springer, vol. 299(1), pages 963-999, April.
    5. Ciner, Cetin, 2011. "Eurocurrency interest rate linkages: A frequency domain analysis," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 498-505, October.
    6. Sophocles N. Brissimis & Petros M. Migiakis, 2013. "Inflation persistence and the rationality of inflation expectations," Working Papers 151, Bank of Greece.
    7. Ruixiaoxiao Zhang & Geoffrey QP Shen & Meng Ni & Johnny Wong, 2020. "The relationship between energy consumption and gross domestic product in Hong Kong (1992–2015): Evidence from sectoral analysis and implications on future energy policy," Energy & Environment, , vol. 31(2), pages 215-236, March.
    8. Österholm, Pär, 2010. "Unemployment and labour-force participation in Sweden," Economics Letters, Elsevier, vol. 106(3), pages 205-208, March.
    9. Cem Berk, 2016. "Indexing Oil from a Financial Point of View: A Comparison between Brent and West Texas Intermediate," International Journal of Energy Economics and Policy, Econjournals, vol. 6(2), pages 152-158.
    10. Ekor, Maxwell & Adeniyi, Oluwatosin & Saka, Jimoh, 2014. "The BRICS and Nigeria’s economic performance: A trade intensity analysis," MPRA Paper 107846, University Library of Munich, Germany.
    11. Mesbah Motamed & Kenneth A. Foster & Wallace E. Tyner, 2008. "Applying cointegration and error correction to measure trade linkages: maize prices in the United States and Mexico," Agricultural Economics, International Association of Agricultural Economists, vol. 39(1), pages 29-39, July.
    12. Thomas H. W. Ziesemer, 2022. "Foreign R&D spillovers to the USA and strategic reactions," Applied Economics, Taylor & Francis Journals, vol. 54(37), pages 4274-4291, August.
    13. Kgothatso Nkgadima & Chiedza L. Muchopa, 2022. "Do Import Tariff Adjustments Bolster Domestic Production? Analysis of the South African-Brazilian Poultry Market Case," Economies, MDPI, vol. 10(12), pages 1-17, December.
    14. Stephen Taiwo Onifade & Abdul Qahar Khatir & Ahmet Ay & Murat Canitez, 2022. "Reviewing the Trade Openness, Domestic Investment, and Economic Growth Nexus: Contemporary Policy Implications for the MENA Region," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 14(2), pages 489-512, June.
    15. Manamba EPAPHRA & Evidence SALEMA, 2018. "The impact of macroeconomic variables on stock prices in Tanzania," Journal of Economics Library, KSP Journals, vol. 5(1), pages 12-41, March.
    16. Chrz, Stepan & Hruby, Zdenek & Janda, Karel & Kristoufek, Ladislav, 2013. "Provazanost trhu potravin, biopaliv a fosilnich paliv [Interconnections within food, biofuel, and fossil fuel markets]," MPRA Paper 43958, University Library of Munich, Germany.
    17. Dimitrios Koutmos, 2018. "Interdependencies between CDS spreads in the European Union: Is Greece the black sheep or black swan?," Annals of Operations Research, Springer, vol. 266(1), pages 441-498, July.
    18. Miguel Lebre de Freitas, 2023. "Forecasting inflation with excess liquidity and excess depreciation: the case of Angola," Economic Change and Restructuring, Springer, vol. 56(1), pages 473-514, February.
    19. Carlos Alberto Piscarreta Pinto Ferreira, 2022. "Revisiting The Determinants Of Sovereign Bond Yield Volatility," Working Papers REM 2022/0241, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    20. Bosupeng, Mpho, 2015. "The Impossible Trinity and Financial Markets – An Examination of Inflation Volatility Spillovers," MPRA Paper 77923, University Library of Munich, Germany, revised 2015.
    21. Knezevic, David & Nordström, Martin & Österholm, Pär, 2019. "The Relation between Municipal and Government Bond Yields in an Era of Unconventional Monetary Policy," Working Papers 2019:6, Örebro University, School of Business.
    22. Aysit Tansel & Zeynel Abidin Ozdemir, 2017. "Unemployment Invariance Hypothesis, Added and Discouraged Worker Effects in Canada?," Koç University-TUSIAD Economic Research Forum Working Papers 1608, Koc University-TUSIAD Economic Research Forum.
    23. Bhatt, P.R., 2013. "China’s Exports and Foreign Direct Investment," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 13(2), pages 183-196.
    24. Meredith J. Beechey & Erik Hjalmarsson & Pär Österholm, 2008. "Testing the expectations hypothesis when interest rates are near integrated," International Finance Discussion Papers 953, Board of Governors of the Federal Reserve System (U.S.).
    25. Adebayo Augustine Kutu & Ntokozo Patrick Nzimande & Simiso Msomi, 2017. "Effectiveness of Monetary Policy and the Growth of Industrial Sector in China," Journal of Economics and Behavioral Studies, AMH International, vol. 9(3), pages 46-59.
    26. Balmer, Roberto E., 2015. "Competition and market strategies in the Swiss fixed telephony market," 26th European Regional ITS Conference, Madrid 2015 127123, International Telecommunications Society (ITS).
    27. Kuziva Mamvura & Mabutho Sibanda & Rajendra Rajaram, 2020. "Causal Dynamics among Foreign Portfolio Investment Volatility, Financial Deepening and Capital Markets in Low Income Countries," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 70(1-2), pages 20-38, January-J.
    28. Aysit Tansel & Zeynel Abidin Ozdemir & Emre Aksoy, 2016. "Unemployment and labour force participation in Turkey," Applied Economics Letters, Taylor & Francis Journals, vol. 23(3), pages 184-187, February.
    29. Nan-Kuang Chen & Han-Liang Cheng, 2017. "House price to income ratio and fundamentals: Evidence on long-horizon forecastability," Pacific Economic Review, Wiley Blackwell, vol. 22(3), pages 293-311, August.
    30. Hayat, Zafar & Balli, Faruk & Obben, James & Shakur, Shamim, 2016. "An empirical assessment of monetary discretion: The case of Pakistan," Journal of Policy Modeling, Elsevier, vol. 38(5), pages 954-970.
    31. Rachel Rose & Dimitrios Paparas, 2023. "Price Transmission: The Case of the UK Dairy Market," Commodities, MDPI, vol. 2(1), pages 1-21, March.
    32. Jopp, Tobias A., 2017. "How does the public perceive alliances? The Central and Allied Powers in World War I," IBF Paper Series 12-17, IBF – Institut für Bank- und Finanzgeschichte / Institute for Banking and Financial History, Frankfurt am Main.
    33. Tiia‐Maria Pasanen & Miikka Voutilainen & Jouni Helske & Harri Högmander, 2022. "A Bayesian spatio‐temporal analysis of markets during the Finnish 1860s famine," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1282-1302, November.
    34. Abbas, Khizar & Butt, Khalid Manzoor & Xu, Deyi & Baz, Khan & Sheraz, Muhammad & Kharl, Sanwal Hussain, 2023. "Dynamic prognostic interaction between social development and energy consumption optimization: Evidence from european union member countries," Energy, Elsevier, vol. 278(C).
    35. Roko Pedisic, 2022. "Cointegration Analysis of Financial Market Indices During Financial Shocks. Focus on Global Financial Crisis and COVID-19 ?andemic Crisis," Bulletin of Applied Economics, Risk Market Journals, vol. 9(2), pages 59-78.
    36. Caroline JARDET & Alain MONFORT & Fulvio PEGORARO, 2011. "No-arbitrage Near-Cointegrated VAR(p) Term Structure Models, Term Premia and GDP Growth," Working Papers 2011-03, Center for Research in Economics and Statistics.
    37. Temitope L. A. Leshoro, 2023. "An Analysis of the Importance of Terms of Trade in South Africa Using Impulse Response Function," Global Business Review, International Management Institute, vol. 24(2), pages 243-257, April.
    38. Adnan Velic, 2017. "Current Account Imbalances, Real Exchange Rates, and Nominal Exchange Rate Variability," Trinity Economics Papers tep1417, Trinity College Dublin, Department of Economics, revised Oct 2021.
    39. Ijambo, Bertha Deshimona, 2017. "An econometric analysis of spatial market integration and price formation in the Namibian sheep industry," Research Theses 334744, Collaborative Masters Program in Agricultural and Applied Economics.
    40. Khalaf, Lynda & Urga, Giovanni, 2014. "Identification robust inference in cointegrating regressions," Journal of Econometrics, Elsevier, vol. 182(2), pages 385-396.
    41. Petr Maleček & Ota Melcher, 2016. "Cross-Border Effects of Car Scrapping Schemes: The Case of the German Car Scrapping Programme and its Effects on the Czech Economy," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(5), pages 560-576.
    42. Balázs Égert, 2012. "Nominal and Real Exchange Rate Models in South Africa: How Robust Are They?," EconomiX Working Papers 2012-18, University of Paris Nanterre, EconomiX.
    43. Pavlova, Evgenia & Cramon-Taubadel, Stephan von, 2016. "Measuring price discovery in agricultural markets," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235866, Agricultural and Applied Economics Association.
    44. Aimon, Hasdi & SanyDwita, & Susanto, Perengki, 2020. "The Relationship between Consumption and Imports of Fuel Oil in Indonesia," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 54(2), pages 125-136.
    45. Chakraborty Debashis & Mukherjee Jaydeep & Lee Jaewook, 2017. "FDI Inflows Influence Merchandise Exports? Causality Analysis for India over 1991-2016 : Causality Analysis for India Over 1991–2016," Global Economy Journal, De Gruyter, vol. 17(3), pages 1-10, September.
    46. Manamba EPAPHRA, 2016. "Foreign Direct Investment and Sectoral Performance in Tanzania," Journal of Economics and Political Economy, KSP Journals, vol. 3(4), pages 670-719, December.
    47. Nzuma, Jonathan Makau & Kirui, Patrick Kipruto, 2021. "Transmission of global wheat prices to domestic markets in Kenya: A cointegration approach," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 16(1), March.
    48. Ziesemer, Thomas, 2019. "The impact of mission-oriented R&D on domestic and foreign private and public R&D, total factor productivity and GDP," MERIT Working Papers 2019-047, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    49. Galán-Gutiérrez, Juan Antonio & Labeaga, José M. & Martín-García, Rodrigo, 2023. "Cointegration between high base metals prices and backwardation: Getting ready for the metals super-cycle," Resources Policy, Elsevier, vol. 81(C).
    50. Carlos Alberto Piscarreta Pinto Ferreira, 2022. "Investor Base Dynamics and Sovereign Bond Yield Volatility," Working Papers REM 2022/0234, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    51. Ziesemer, Thomas, 2019. "Japan's productivity and GDP growth: The role of GBAORD, public and foreign R&D," MERIT Working Papers 2019-029, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    52. Maixe-Altes, J. Carles & Mourelle, Estefanía, 2016. "Cash and non-cash payments in a long run perspective, Spain 1989-2014," MPRA Paper 72590, University Library of Munich, Germany.
    53. El Benni, Nadja & Finger, Robert & Hediger, Werner, 2014. "Transmission of beef and veal prices in different marketing channels," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182696, European Association of Agricultural Economists.
    54. Balmer, Roberto E., 2014. "Competition and market strategies in the Swiss fixed telephony market," 20th ITS Biennial Conference, Rio de Janeiro 2014: The Net and the Internet - Emerging Markets and Policies 106837, International Telecommunications Society (ITS).
    55. Bhatt, P.R., 2014. "Foreign Direct Investment In Asean Countries, 1990-2012," Revista Galega de Economía, University of Santiago de Compostela. Faculty of Economics and Business., vol. 23(4).
    56. Balmer, Roberto, 2013. "Competition and Market Strategies in the Swiss Fixed Telephony Market. An estimation of Swisscom’s dynamic residual demand curve," MPRA Paper 54078, University Library of Munich, Germany.
    57. Przystupa, Jan & Wróbel, Ewa, 2009. "Asymmetry of the exchange rate pass-through: An exercise on the Polish data," MPRA Paper 17660, University Library of Munich, Germany.
    58. Tansel, Aysit & Ozdemir, Zeynel Abidin & Aksoy, Emre, 2016. "Does the Unemployment Invariance Hypothesis Hold for Canada?," IZA Discussion Papers 10178, Institute of Labor Economics (IZA).
    59. Bhatt, P.R., 2013. "Causal Relationship between Exports, FDI and Income: The case of Vietnam," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 13(1), pages 161-172.
    60. Agnieszka Tłuczak, 2022. "Convergence of prices on the pig market in selected European Union countries. Case study," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(3), pages 107-115.
    61. Beag, F.A. & Singla, N., 2014. "Cointegration, Causality and Impulse Response Analysis in Major Apple Markets of India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 27(2).
    62. Khanna, Rupika & Sharma, Chandan, 2021. "Does infrastructure stimulate total factor productivity? A dynamic heterogeneous panel analysis for Indian manufacturing industries," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 59-73.
    63. Kalaitzi, Athanasia S. & Chamberlain, Trevor W., 2020. "Merchandise exports and economic growth: multivariate time series analysis for the United Arab Emirates," LSE Research Online Documents on Economics 103781, London School of Economics and Political Science, LSE Library.
    64. Safet KURTOVIC & Blerim HALILI & Nehat MAXHUNI, 2017. "Bosnia and Herzegovina vs. Her Trading Partner from Southeast Europe," Turkish Economic Review, KSP Journals, vol. 4(1), pages 75-85, March.
    65. Tsen, Wong Hock, 2011. "The real exchange rate determination: An empirical investigation," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 800-811, October.
    66. Pradita Nareswari & Sigit S. Wibowo, 2020. "Global and Local Commodity Prices: A Further Look at the Indonesian Agricultural Commodities," Capital Markets Review, Malaysian Finance Association, vol. 28(1), pages 65-76.
    67. Rakesh K. Bissoondeeal & Barry E. Jones & Jane M. Binner & Andrew W. Mullineux, 2010. "Household‐Sector Money Demand For The Uk," Manchester School, University of Manchester, vol. 78(s1), pages 90-113, September.
    68. Marcus Cobb, 2009. "Forecasting Chilean Inflation From Disaggregate Components," Working Papers Central Bank of Chile 545, Central Bank of Chile.
    69. Congregado, Emilio & Gałecka-Burdziak, Ewa & Golpe, Antonio A. & Pater, Robert, 2021. "Unemployment invariance hypothesis and structural breaks in Poland," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
    70. Erik Hjalmarsson & Pär Österholm, 2007. "A residual-based cointegration test for near unit root variables," International Finance Discussion Papers 907, Board of Governors of the Federal Reserve System (U.S.).
    71. Troug, Haytem Ahmed & Murray, Matt, 2015. "Quantitative Easing in Japan and the UK An Econometric Evaluation of the Impacts of Unconventional Monetary Policy on the Returns of Aggregate Output and Price Levels," MPRA Paper 68707, University Library of Munich, Germany.
    72. Sultan Hafeez Rahman & Muhammad Shahadat Hossain Siddiquee, 2022. "Short- and long-run growth effects of fiscal policy in Bangladesh," SN Business & Economics, Springer, vol. 2(9), pages 1-21, September.
    73. Izabela Pruchnicka-Grabias, 2021. "The Relationship between Gold and Brent Crude Oil Prices: An Unrestricted Vector Autoregression Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 276-282.
    74. Yugang He & Panpan Huang, 2022. "Exploring the Forms of the Economic Effects of Renewable Energy Consumption: Evidence from China," Sustainability, MDPI, vol. 14(13), pages 1-16, July.
    75. Sinem Derindere Koseoglu & Ali Ozgür Karagülle, 2013. "Portfolio Diversification Benefits In Shipping Industry: A Cointegration Approach," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 5(2), pages 017-128, December.
    76. Balázs Egert, 2012. "Nominal and Real Exchange Rate Models in South Africa: How Robust Are They?," Working Papers hal-04141078, HAL.
    77. THW Ziesemer, 2020. "Japan’s Productivity and GDP Growth: The Role of Private, Public and Foreign R&D 1967–2017," Economies, MDPI, vol. 8(4), pages 1-25, September.

  14. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Mico Loretan, 2007. "Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets," International Finance Discussion Papers 905, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Evzen Kocenda & Vit Bubak & Filip Zikes, 2011. "Volatility Transmission in Emerging European Foreign Exchange Markets," William Davidson Institute Working Papers Series wp1020, William Davidson Institute at the University of Michigan.
    2. 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.
    3. Andersen, Torben G. & Dobrev, Dobrislav & Schaumburg, Ernst, 2012. "Jump-robust volatility estimation using nearest neighbor truncation," Journal of Econometrics, Elsevier, vol. 169(1), pages 75-93.
    4. Taesuk Lee & Mico Loretan & Werner Ploberger, 2013. "Rate-optimal tests for jumps in diffusion processes," Statistical Papers, Springer, vol. 54(4), pages 1009-1041, November.
    5. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Clara Vega, 2014. "Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 69(5), pages 2045-2084, October.
    6. Marina Theodosiou, 2010. "Calendar Time Sampling of High Frequency Financial Asset Price and the Verdict on Jumps," Working Papers 2010-7, Central Bank of Cyprus.
    7. Opschoor, Anne & Taylor, Nick & van der Wel, Michel & van Dijk, Dick, 2014. "Order flow and volatility: An empirical investigation," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 185-201.
    8. Caporale, Guglielmo Maria & You, Kefei & Chen, Lei, 2019. "Global and regional stock market integration in Asia: A panel convergence approach," International Review of Financial Analysis, Elsevier, vol. 65(C).
    9. 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).
    10. Tseng, Tseng-Chan & Lee, Chien-Chiang & Chen, Mei-Ping, 2015. "Volatility forecast of country ETF: The sequential information arrival hypothesis," Economic Modelling, Elsevier, vol. 47(C), pages 228-234.
    11. Schmidt, Anatoly B., 2009. "Detrending the realized volatility in the global FX market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(9), pages 1887-1892.
    12. Takatoshi Ito & Kenta Yamada & Misako Takayasu & Hideki Takayasu, 2020. "Execution Risk and Arbitrage Opportunities in the Foreign Exchange Markets," NBER Working Papers 26706, National Bureau of Economic Research, Inc.
    13. Onur, Esen & Roberts, John S. & Tuzun, Tugkan, 2023. "Trader positions and aggregate portfolio demand," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    14. Apergis, Nicholas, 2023. "Realized higher-order moments spillovers across cryptocurrencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    15. Chen, Yu-Lun & Tsai, Wei-Che, 2017. "Determinants of price discovery in the VIX futures market," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 59-73.
    16. Mohammad Jahan-Parvar & Filip Zikes, 2019. "When do low-frequency measures really measure transaction costs?," Finance and Economics Discussion Series 2019-051, Board of Governors of the Federal Reserve System (U.S.).
    17. Roland Füss & Ferdinand Mager & Michael Stein & Lu Zhao, 2018. "Financial crises, price discovery, and information transmission: a high-frequency perspective," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(4), pages 333-365, November.

  15. Erik Hjalmarsson, 2006. "Fully modified estimation with nearly integrated regressors," International Finance Discussion Papers 854, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Alex Maynard & Katsumi Shimotsu & Nina Kuriyama, 2023. "Inference in Predictive Quantile Regressions," Papers 2306.00296, arXiv.org.
    2. Erik Hjalmarsson, 2006. "Inference in Long-Horizon Regressions," International Finance Discussion Papers 853, Board of Governors of the Federal Reserve System (U.S.).
    3. Meredith J. Beechey & Erik Hjalmarsson & Pär Österholm, 2008. "Testing the expectations hypothesis when interest rates are near integrated," International Finance Discussion Papers 953, Board of Governors of the Federal Reserve System (U.S.).
    4. Krzysztof Bartosik & Jerzy Mycielski, 2016. "Dynamika płac a długotrwałe bezrobocie w polskiej gospodarce," Bank i Kredyt, Narodowy Bank Polski, vol. 47(5), pages 435-462.
    5. NTUNGILA, Floribert & PINSHI, Christian P., 2019. "Fluctuations de prix des matières premières et économie congolaise : manne d’espoir ou de malédiction ? [Fluctuations in commodity price and the congolese economy: hope or curse manna?]," MPRA Paper 95409, University Library of Munich, Germany.
    6. Yu-chin Chen & Kenneth Rogoff, 2006. "Are the Commodity Currencies an Exception to the Rule?," Working Papers UWEC-2006-28, University of Washington, Department of Economics, revised Mar 2012.

  16. Erik Hjalmarsson & Randi Hjalmarsson, 2006. "Efficiency in Housing Markets: Do Home Buyers Know how to Discount?," International Finance Discussion Papers 879, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Khalid Sekkat & Ariane Szafarz, 2011. "Valuing Homeownership," The Journal of Real Estate Finance and Economics, Springer, vol. 43(4), pages 491-504, November.
    2. Karl Robertsen & Theis Theisen, 2011. "The Impact of Financial Arrangements and Institutional Form on Housing Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 42(3), pages 371-392, April.

  17. Erik Hjalmarsson, 2006. "Should we expect significant out-of-sample results when predicting stock returns?," International Finance Discussion Papers 855, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Jonsson, Thomas & Österholm, Pär, 2009. "The Properties of Survey-Based Inflation Expectations in Sweden," Working Papers 114, National Institute of Economic Research.
    2. Boudoukh, Jacob & Israel, Ronen & Richardson, Matthew, 2022. "Biases in long-horizon predictive regressions," Journal of Financial Economics, Elsevier, vol. 145(3), pages 937-969.
    3. Laurence Fung & Ip-wing Yu, 2008. "Predicting Stock Market Returns by Combining Forecasts," Working Papers 0801, Hong Kong Monetary Authority.
    4. Stambaugh, Robert F. & Pástor, Luboš, 2007. "Predictive Systems: Living with Imperfect Predictors," CEPR Discussion Papers 6076, C.E.P.R. Discussion Papers.

  18. Erik Hjalmarsson, 2006. "Inference in Long-Horizon Regressions," International Finance Discussion Papers 853, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Qiu, Mei & Pinfold, John F. & Rose, Lawrence C., 2011. "Predicting foreign exchange movements using historic deviations from PPP," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 485-497, October.

  19. 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.).

    Cited by:

    1. Rime, Dagfinn & Sarno, Lucio & Sojli, Elvira, 2010. "Exchange rate forecasting, order flow and macroeconomic information," Journal of International Economics, Elsevier, vol. 80(1), pages 72-88, January.
    2. Kitamura, Yoshihiro, 2017. "Simple measures of market efficiency: A study in foreign exchange markets," Japan and the World Economy, Elsevier, vol. 41(C), pages 1-16.
    3. Andreas M. Fischer & Angelo Ranaldo, 2008. "Does FOMC News Increase Global FX Trading?," Working Papers 2008-09, Swiss National Bank.
    4. Stanisław Drożdż & Ludovico Minati & Paweł Oświȩcimka & Marek Stanuszek & Marcin Wa̧torek, 2019. "Signatures of the Crypto-Currency Market Decoupling from the Forex," Future Internet, MDPI, vol. 11(7), pages 1-18, July.
    5. Galagedera, Don U.A. & Kitamura, Yoshihiro, 2012. "Effect of exchange rate return on volatility spill-over across trading regions," Japan and the World Economy, Elsevier, vol. 24(4), pages 254-265.
    6. Lallouache, Mehdi & Abergel, Frédéric, 2014. "Tick size reduction and price clustering in a FX order book," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 488-498.
    7. 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).
    8. Zhong, Meirui & Zhang, Rui & Ren, Xiaohang, 2023. "The time-varying effects of liquidity and market efficiency of the European Union carbon market: Evidence from the TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 123(C).
    9. Marcel Aloy & Gilles de Truchis, 2015. "Optimal Estimation Strategies for Bivariate Fractional Cointegration Systems and the Co-persistence Analysis of Stock Market Realized Volatilities," Post-Print hal-01410660, HAL.
    10. Li, Ziran & Sun, Jiajing & Wang, Shouyang, 2013. "Amplitude-Duration-Persistence Trade-off Relationship for Long Term Bear Stock Markets," MPRA Paper 54177, University Library of Munich, Germany.
    11. Gilles de Truchis & Benjamin Keddad, 2014. "Analyzing Financial Integration in East Asia through Fractional Cointegration in Volatilities," Working Papers 2014-382, Department of Research, Ipag Business School.
    12. Nikitopoulos, Christina Sklibosios & Thomas, Alice Carole & Wang, Jianxin, 2023. "The economic impact of daily volatility persistence on energy markets," Journal of Commodity Markets, Elsevier, vol. 30(C).
    13. Erdinc Akyildirim & Shaen Corbet & Guzhan Gulay & Duc Khuong Nguyen & Ahmet Sensoy, 2019. "Order Flow Persistence in Equity Spot and Futures Markets: Evidence from a Dynamic Emerging Market," Working Papers 2019-011, Department of Research, Ipag Business School.
    14. Brett W. Fawley & Christopher J. Neely, 2011. "Capital flows and Japanese asset volatility," Working Papers 2011-034, Federal Reserve Bank of St. Louis.
    15. Chaboud, Alain & Hjalmarsson, Erik & Zikes, Filip, 2021. "The evolution of price discovery in an electronic market," Journal of Banking & Finance, Elsevier, vol. 130(C).
    16. Ding, Liang, 2008. "Market structure and dealers' quoting behavior in the foreign exchange market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(4), pages 313-325, October.
    17. Adam Clements & Joanne Fuller & Vasilios Papalexiou, 2015. "Public news flow in intraday component models for trading activity and volatility," NCER Working Paper Series 106, National Centre for Econometric Research.
    18. Gustavo Fruet Dias & Cristina M. Scherrer & Fotis Papailias, 2016. "Volatility Discovery," CREATES Research Papers 2016-07, Department of Economics and Business Economics, Aarhus University.
    19. Michael King & Carol Osler & Dagfinn Rime, 2012. "The Market Microstructure Approach to Foreign Exchange: Looking Back and Looking Forward," Working Papers 54, Brandeis University, Department of Economics and International Business School.
    20. Carol Osler & Xuhang Wang, 2012. "The Microstructure of Currency Markets," Working Papers 49, Brandeis University, Department of Economics and International Business School.
    21. Opschoor, Anne & Taylor, Nick & van der Wel, Michel & van Dijk, Dick, 2014. "Order flow and volatility: An empirical investigation," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 185-201.
    22. Deniz Erdemlioglu & Sebastien Laurent & Christopher J. Neely, 2012. "Econometric modeling of exchange rate volatility and jumps," Working Papers 2012-008, Federal Reserve Bank of St. Louis.
    23. Fei Su, 2018. "Essays on Price Discovery and Volatility Dynamics in the Foreign Exchange Market," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2018.
    24. Shi, Yanlin & Ho, Kin-Yip & Liu, Wai-Man, 2016. "Public information arrival and stock return volatility: Evidence from news sentiment and Markov Regime-Switching Approach," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 291-312.
    25. Della Corte, Pasquale & Sarno, Lucio & Tsiakas, Ilias, 2011. "Spot and forward volatility in foreign exchange," Journal of Financial Economics, Elsevier, vol. 100(3), pages 496-513, June.
    26. Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Sibbertsen, Philipp, 2017. "The Memory of Stock Return Volatility: Asset Pricing Implications," Hannover Economic Papers (HEP) dp-613, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    27. Fei Su & Lei Wang, 2020. "Conditional Volatility Persistence and Realized Volatility Asymmetry: Evidence from the Chinese Stock Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(14), pages 3252-3269, November.
    28. Christopher J. Neely, 2011. "A survey of announcement effects on foreign exchange volatility and jumps," Review, Federal Reserve Bank of St. Louis, vol. 93(Sep), pages 361-385.
    29. van der Wel, M., 2020. "Connecting Silos : On linking macroeconomics and finance, and the role of econometrics therein," ERIM Inaugural Address Series Research in Management 124748, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam..
    30. 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).
    31. Piccotti, Louis R., 2016. "Pricing errors and the geography of trade in the foreign exchange market," Journal of Financial Markets, Elsevier, vol. 28(C), pages 46-69.
    32. Hoang, Lai T. & Baur, Dirk G., 2022. "Loaded for bear: Bitcoin private wallets, exchange reserves and prices," Journal of Banking & Finance, Elsevier, vol. 144(C).
    33. Wang, Jianxin, 2022. "Market distraction and near-zero daily volatility persistence," International Review of Financial Analysis, Elsevier, vol. 80(C).
    34. Jianxin Wang, 2007. "Foreign Ownership and Volatility Dynamics of Indonesian Stocks," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 14(3), pages 201-210, September.
    35. Li, Ziran & Sun, Jiajing & Wang, Shouyang, 2013. "An information diffusion-based model of oil futures price," Energy Economics, Elsevier, vol. 36(C), pages 518-525.
    36. Chai, Edwina F.L. & Lee, Adrian D. & Wang, Jianxin, 2015. "Global information distribution in the gold OTC markets," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 206-217.
    37. Yoshihiro Kitamura, 2011. "The Impact of Order Flow on the Foreign Exchange Market: A Copula Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 18(1), pages 1-31, March.
    38. Kitamura, Yoshihiro, 2010. "Testing for intraday interdependence and volatility spillover among the euro, the pound and the Swiss franc markets," Research in International Business and Finance, Elsevier, vol. 24(2), pages 158-171, June.
    39. Ran Xiao, 2019. "Essays on Price Discovery and Volatility Dynamics in Emerging Market Currencies," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 5-2019.
    40. Rodrigo Herrera & Adam Clements, 2020. "A marked point process model for intraday financial returns: modeling extreme risk," Empirical Economics, Springer, vol. 58(4), pages 1575-1601, April.
    41. Zhang, Hao, 2018. "Intraday patterns in foreign exchange returns and realized volatility," Finance Research Letters, Elsevier, vol. 27(C), pages 99-104.
    42. Munazza Jabeen & Abdul Rashid, 2022. "Macroeconomic News and Exchange Rates: Exploring the Role of Order Flow," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 14(2), pages 222-245, May.
    43. Su, Fei, 2021. "Conditional volatility persistence and volatility spillovers in the foreign exchange market," Research in International Business and Finance, Elsevier, vol. 55(C).
    44. Mehdi Lallouache & Frédéric Abergel, 2014. "Tick size reduction and price clustering in a FX order book," Post-Print hal-01006414, HAL.
    45. Luo, Ji & Tee, Kai-Hong & Li, Baibing, 2017. "Timing liquidity in the foreign exchange market: Did hedge funds do it?," Journal of Multinational Financial Management, Elsevier, vol. 40(C), pages 47-62.
    46. Lukas Mankhoff & Lucio Sarno & Maik Schmeling & Andreas Schrimpf, 2013. "Information flows in foreign exchange markets: dissecting customer currency trades," BIS Working Papers 405, Bank for International Settlements.
    47. Joel Hasbrouck & Richard M. Levich, 2017. "FX Market Metrics: New Findings Based on CLS Bank Settlement Data," NBER Working Papers 23206, National Bureau of Economic Research, Inc.

  20. Hjalmarsson, Erik, 2005. "On the Predictability of Global Stock Returns," Working Papers in Economics 161, University of Gothenburg, Department of Economics.

    Cited by:

    1. Oberndorfer, Ulrich, 2009. "Energy prices, volatility, and the stock market: Evidence from the Eurozone," Energy Policy, Elsevier, vol. 37(12), pages 5787-5795, December.
    2. Oberndorfer, Ulrich, 2008. "Returns and Volatility of Eurozone Energy Stocks," ZEW Discussion Papers 08-017, ZEW - Leibniz Centre for European Economic Research.
    3. Erik Hjalmarsson, 2006. "Predictive regressions with panel data," International Finance Discussion Papers 869, Board of Governors of the Federal Reserve System (U.S.).
    4. Paye, Bradley S. & Timmermann, Allan, 2006. "Instability of return prediction models," Journal of Empirical Finance, Elsevier, vol. 13(3), pages 274-315, June.
    5. Schrimpf, Andreas, 2008. "International Stock Return Predictability Under Model Uncertainty," ZEW Discussion Papers 08-048, ZEW - Leibniz Centre for European Economic Research.
    6. GIOT, Pierre & PETITJEAN, Mikael, 2006. "International stock return predictability: statistical evidence and economic significance," LIDAM Discussion Papers CORE 2006088, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

  21. Hjalmarsson, Erik, 2005. "Predictive regressions with panel data," Working Papers in Economics 160, University of Gothenburg, Department of Economics.

    Cited by:

    1. Baltagi, Badi H., 2013. "Panel Data Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 995-1024, Elsevier.
    2. Baltagi, Badi H., 2006. "Forecasting with panel data," Discussion Paper Series 1: Economic Studies 2006,25, Deutsche Bundesbank.
    3. Costantini, Mauro & Sousa, Ricardo M., 2022. "What uncertainty does to euro area sovereign bond markets: Flight to safety and flight to quality," Journal of International Money and Finance, Elsevier, vol. 122(C).
    4. Angelica Gonzalez, 2007. "Angelica Gonzalez," Edinburgh School of Economics Discussion Paper Series 168, Edinburgh School of Economics, University of Edinburgh.
    5. Hjalmarsson, Erik, 2005. "On the Predictability of Global Stock Returns," Working Papers in Economics 161, University of Gothenburg, Department of Economics.
    6. Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.

  22. Bakshi, Gurdip & Chen, Zhiwu & Hjalmarsson, Erik, 2005. "Volatility of the Stochastic Discount Factor, and the Distinction between Risk-Neutral and Objective Probability Measures," Working Papers in Economics 159, University of Gothenburg, Department of Economics.

    Cited by:

    1. Belén Nieto & Gonzalo Rubio, 2007. "Measuring time-varying economic fears with consumption-based stochastic discount factors," Economics Working Papers 1029, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2007.

  23. Erik Hjalmarsson, 2005. "Estimation of average local-to-unity roots in heterogenous panels," International Finance Discussion Papers 852, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Stauskas, Ovidijus, 2019. "On the Limit Theory of Mixed to Unity VARs: Panel Setting With Weakly Dependent Errors," Working Papers 2019:2, Lund University, Department of Economics.
    2. Erik Hjalmarsson, 2006. "Predictive regressions with panel data," International Finance Discussion Papers 869, Board of Governors of the Federal Reserve System (U.S.).

  24. Hjalmarsson, Erik, 2003. "Does the Black-Scholes formula work for electricity markets? A nonparametric approach," Working Papers in Economics 101, University of Gothenburg, Department of Economics.

    Cited by:

    1. Twomey, P. & Neuhoff, K., 2005. "Market Power and Technological Bias: The Case of Electricity Generation," Cambridge Working Papers in Economics 0532, Faculty of Economics, University of Cambridge.
    2. Ghaffari, Reza & Venkatesh, Bala, 2015. "Network constrained model for options based reserve procurement by wind generators using binomial tree," Renewable Energy, Elsevier, vol. 80(C), pages 348-358.
    3. Fred Espen Benth & Jūratė Šaltytė Benth & Steen Koekebakker, 2008. "Stochastic Modeling of Electricity and Related Markets," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 6811, January.
    4. Twomey, Paul & Neuhoff, Karsten, 2010. "Wind power and market power in competitive markets," Energy Policy, Elsevier, vol. 38(7), pages 3198-3210, July.

  25. Hjalmarsson, Erik, 2000. "Nord Pool: A Power Market Without Market Power," Working Papers in Economics 28, University of Gothenburg, Department of Economics.

    Cited by:

    1. Souhir, Ben Amor & Heni, Boubaker & Lotfi, Belkacem, 2019. "Price risk and hedging strategies in Nord Pool electricity market evidence with sector indexes," Energy Economics, Elsevier, vol. 80(C), pages 635-655.
    2. Victor F. Moutinho & António C. Moreira & João Paulo C. Bento, 2018. "Strategic decisions on bilateral bidding behavior: evidence from a wholesale electricity market," Empirical Economics, Springer, vol. 54(3), pages 1353-1387, May.
    3. Lundin, Erik, 2016. "Market Power and Joint Ownership: Evidence from Nuclear Plants in Sweden," Working Paper Series 1113, Research Institute of Industrial Economics, revised 04 Nov 2019.
    4. Vítor Marques & Isabel Soares & Adelino Fortunato, 2012. "Application of a Structural Model to the Spanish Electricity Wholesale Market," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 65-108.
    5. Vítor Marques & Adelino Fortunato & Isabel Soares, 2012. "Can Structural Models be Useful to Understand the Electricity Wholesale Markets? An Application to Spain," Chapters, in: Joseph E. Harrington Jr & Yannis Katsoulacos (ed.), Recent Advances in the Analysis of Competition Policy and Regulation, chapter 15, Edward Elgar Publishing.
    6. Fridolfsson, Sven-Olof & Tangerås, Thomas P., 2009. "Market power in the Nordic electricity wholesale market: A survey of the empirical evidence," Energy Policy, Elsevier, vol. 37(9), pages 3681-3692, September.
    7. Sandsmark, Maria & Tennbakk, Berit, 2010. "Ex post monitoring of market power in hydro dominated electricity markets," Energy Policy, Elsevier, vol. 38(3), pages 1500-1509, March.
    8. Mirza, Faisal Mehmood & Bergland, Olvar, 2011. "The impact of daylight saving time on electricity consumption: Evidence from southern Norway and Sweden," Energy Policy, Elsevier, vol. 39(6), pages 3558-3571, June.
    9. Mauritzen, Johannes, 2012. "Dead Battery? Wind Power, the Spot Market, and Hydro Power Interaction in the Nordic Electricity Market," Working Paper Series 908, Research Institute of Industrial Economics.
    10. Mauritzen, Johannes, 2010. "What happens when it's Windy in Denmark? An Empirical Analysis of Wind Power on Price Volatility in the Nordic Electricity Market," Discussion Papers 2010/18, Norwegian School of Economics, Department of Business and Management Science.
    11. Mauritzen, Johannes, 2011. "What Happens When it's Windy in Denmark? An Empirical Analysis of Wind Power on Price Variability in the Nordic Electricity Market," Working Paper Series 889, Research Institute of Industrial Economics.
    12. Peeter Pikk & Marko Viiding, 2013. "The dangers of marginal cost based electricity pricing," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 13(1), pages 49-62, July.
    13. Bask, Mikael & Widerberg, Anna, 2009. "Market structure and the stability and volatility of electricity prices," Energy Economics, Elsevier, vol. 31(2), pages 278-288, March.
    14. Fogelberg, Sara & Lazarczyk, Ewa, 2014. "Strategic Withholding through Production Failures," Working Paper Series 1015, Research Institute of Industrial Economics.
    15. Lundgren, Jens & Hellström, Jörgen & Rudholm, Niklas, 2008. "Multinational Electricity Market Integration and Electricity Price Dynamics," HUI Working Papers 16, HUI Research.
    16. Chang, Shun-Chiao & Chang, Jui-Chuan Della & Huang, Tai-Hsin, 2012. "Assessing market power in the U.S. commercial banking industry under deregulation," Economic Modelling, Elsevier, vol. 29(5), pages 1558-1565.
    17. Shi, Xunpeng & Yao, Lixia, 2020. "Economic Integration in Southeast Asia: The Case of the ASEAN Power Grid," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 35(1), pages 152-171.
    18. Brännlund, Runar & Marklund, Per-Olov & Sjöström, Magnus, 2001. "Evaluating market efficiency without price data. The Swedish market for wood fuel," Umeå Economic Studies 576, Umeå University, Department of Economics.
    19. Hellström, Jörgen & Lundgren, Jens & Yu, Haishan, 2012. "Why do electricity prices jump? Empirical evidence from the Nordic electricity market," Energy Economics, Elsevier, vol. 34(6), pages 1774-1781.
    20. 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.
    21. Johannes Mauritzen, 2013. "Dead Battery? Wind Power, the Spot Market, and Hydropower Interaction in the Nordic Electricity Market," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).

Articles

  1. Erik Hjalmarsson & Tamás Kiss, 2021. "Dividend Growth Does Not Help Predict Returns Compared To Likelihood-Based Tests: An Anatomy of the Dog," Critical Finance Review, now publishers, vol. 10(3), pages 445-464, August.

    Cited by:

    1. Kiss, Tamás & Mazur, Stepan & Nguyen, Hoang, 2022. "Predicting returns and dividend growth — The role of non-Gaussian innovations," Finance Research Letters, Elsevier, vol. 46(PA).

  2. Chaboud, Alain & Hjalmarsson, Erik & Zikes, Filip, 2021. "The evolution of price discovery in an electronic market," Journal of Banking & Finance, Elsevier, vol. 130(C).
    See citations under working paper version above.
  3. Farago, Adam & Hjalmarsson, Erik, 2019. "Stock Price Co-Movement and the Foundations of Pairs Trading," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(2), pages 629-665, April.

    Cited by:

    1. Dong, Yingjie & Huang, Wenxin & Tse, Yiu-Kuen, 2023. "Price comovement and market segmentation of Chinese A- and H-shares: Evidence from a panel latent-factor model," Journal of International Money and Finance, Elsevier, vol. 131(C).
    2. Estefanía Montoya-Cruz & José Pedro Ramos-Requena & Juan Evangelista Trinidad-Segovia & Miguel Ángel Sánchez-Granero, 2020. "Exploring Arbitrage Strategies in Corporate Social Responsibility Companies," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
    3. Yen-Sheng Lee, 2022. "Representative Bias and Pairs Trade: Evidence From S&P 500 and Russell 2000 Indexes," SAGE Open, , vol. 12(3), pages 21582440221, August.

  4. Hjalmarsson, Erik & Österholm, Pär, 2019. "A micro-data analysis of households’ expectations of mortgage rates," Economics Letters, Elsevier, vol. 185(C).

    Cited by:

    1. Hjalmarsson, Erik & Österholm, Pär, 2020. "Heterogeneity in households’ expectations of housing prices – evidence from micro data," Journal of Housing Economics, Elsevier, vol. 50(C).
    2. Kladivko, Kamil & Österholm, Pär, 2020. "Can Households Predict where the Macroeconomy is Headed?," Working Papers 2020:11, Örebro University, School of Business.

  5. Benos, Evangelos & Brugler, James & Hjalmarsson, Erik & Zikes, Filip, 2017. "Interactions among High-Frequency Traders," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(4), pages 1375-1402, August.
    See citations under working paper version above.
  6. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Clara Vega, 2014. "Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 69(5), pages 2045-2084, October.
    See citations under working paper version above.
  7. Hjalmarsson, Erik & Manchev, Petar, 2012. "Characteristic-based mean-variance portfolio choice," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1392-1401.
    See citations under working paper version above.
  8. Hjalmarsson, Erik, 2012. "Some curious power properties of long-horizon tests," Finance Research Letters, Elsevier, vol. 9(2), pages 81-91.

    Cited by:

    1. Maynard, Alex & Ren, Dongmeng, 2019. "The finite sample power of long-horizon predictive tests in models with financial bubbles," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 418-430.
    2. Demetrescu, Matei & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2023. "Transformed regression-based long-horizon predictability tests," Journal of Econometrics, Elsevier, vol. 237(2).
    3. Erik Hjalmarsson & Tamas Kiss, 2022. "Long‐run predictability tests are even worse than you thought," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1334-1355, November.

  9. Hjalmarsson, Erik, 2011. "New Methods for Inference in Long-Horizon Regressions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(3), pages 815-839, June.

    Cited by:

    1. Yang, Bingduo & Long, Wei & Yang, Zihui, 2022. "Testing predictability of stock returns under possible bubbles," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 246-260.
    2. 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.
    3. Guillaume Coqueret, 2023. "Forking paths in financial economics," Papers 2401.08606, arXiv.org.
    4. Maynard, Alex & Ren, Dongmeng, 2019. "The finite sample power of long-horizon predictive tests in models with financial bubbles," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 418-430.
    5. Demetrescu, Matei & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2023. "Transformed regression-based long-horizon predictability tests," Journal of Econometrics, Elsevier, vol. 237(2).
    6. Yu, Deshui & Huang, Difang & Chen, Li & Li, Luyang, 2023. "Forecasting dividend growth: The role of adjusted earnings yield," Economic Modelling, Elsevier, vol. 120(C).
    7. Zhishui Hu & Ioannis Kasparis & Qiying Wang, 2020. "Locally trimmed least squares: conventional inference in possibly nonstationary models," Papers 2006.12595, arXiv.org.
    8. Adrian Austin & Swarna Dutt, 2016. "Do stock returns hedge inflation at long horizons?," Applied Economics Letters, Taylor & Francis Journals, vol. 23(13), pages 936-939, September.
    9. Gourieroux, Christian & Jasiak, Joann, 2010. "Inference for Noisy Long Run Component Process," MPRA Paper 98987, University Library of Munich, Germany.
    10. Jacob Boudoukh & Ronen Israel & Matthew P. Richardson, 2020. "Biases in Long-Horizon Predictive Regressions," NBER Working Papers 27410, National Bureau of Economic Research, Inc.
    11. Boudoukh, Jacob & Israel, Ronen & Richardson, Matthew, 2022. "Biases in long-horizon predictive regressions," Journal of Financial Economics, Elsevier, vol. 145(3), pages 937-969.
    12. Andersen, Torben G. & Todorov, Viktor & Ubukata, Masato, 2021. "Tail risk and return predictability for the Japanese equity market," Journal of Econometrics, Elsevier, vol. 222(1), pages 344-363.
    13. Yu, Deshui & Huang, Difang, 2023. "Cross-sectional uncertainty and expected stock returns," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 321-340.
    14. Pozo, Veronica F. & Schroeder, Ted C., 2016. "Evaluating the costs of meat and poultry recalls to food firms using stock returns," Food Policy, Elsevier, vol. 59(C), pages 66-77.
    15. Hjalmarsson, Erik, 2012. "Some curious power properties of long-horizon tests," Finance Research Letters, Elsevier, vol. 9(2), pages 81-91.
    16. Xiong, Tao & Zhang, Wendong & Chen, Chen-Ti, 2021. "A Fortune from misfortune: Evidence from hog firms’ stock price responses to China’s African Swine Fever outbreaks," Food Policy, Elsevier, vol. 105(C).
    17. Chevillon, Guillaume, 2017. "Robustness of Multistep Forecasts and Predictive Regressions at Intermediate and Long Horizons," ESSEC Working Papers WP1710, ESSEC Research Center, ESSEC Business School.
    18. Lin, Qi & Lin, Xi, 2021. "Cash conversion cycle and aggregate stock returns," Journal of Financial Markets, Elsevier, vol. 52(C).
    19. Choi, Yongok & Jacewitz, Stefan & Park, Joon Y., 2016. "A reexamination of stock return predictability," Journal of Econometrics, Elsevier, vol. 192(1), pages 168-189.
    20. Toni Beutler, 2012. "Forecasting Exchange Rates with Commodity Convenience Yields," Working Papers 12.03, Swiss National Bank, Study Center Gerzensee.
    21. Phillips, Peter C.B. & Lee, Ji Hyung, 2013. "Predictive regression under various degrees of persistence and robust long-horizon regression," Journal of Econometrics, Elsevier, vol. 177(2), pages 250-264.
    22. Adrian Austin & Swarna Dutt, 2015. "Exchange Rates and Fundamentals: A New Look at the Evidence on Long-Horizon Predictability," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 43(1), pages 147-159, March.
    23. Chen, Chaoyi & Gospodinov, Nikolay & Maynard, Alex & Pesavento, Elena, 2022. "Long-horizon stock valuation and return forecasts based on demographic projections," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 190-215.

  10. Chaboud, Alain P. & Chiquoine, Benjamin & Hjalmarsson, Erik & Loretan, Mico, 2010. "Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets," Journal of Empirical Finance, Elsevier, vol. 17(2), pages 212-240, March.
    See citations under working paper version above.
  11. Hjalmarsson, Erik, 2010. "Predicting Global Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(1), pages 49-80, February.
    See citations under working paper version above.
  12. Erik Hjalmarsson & Pär Österholm, 2010. "Testing for cointegration using the Johansen methodology when variables are near-integrated: size distortions and partial remedies," Empirical Economics, Springer, vol. 39(1), pages 51-76, August.
    See citations under working paper version above.
  13. Hjalmarsson, Erik & Hjalmarsson, Randi, 2009. "Efficiency in housing markets: Which home buyers know how to discount?," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2150-2163, November.

    Cited by:

    1. Johan Almenberg & Artashes Karapetyan, 2014. "Hidden Costs of Hidden Debt," Review of Finance, European Finance Association, vol. 18(6), pages 2247-2281.
    2. Kjellander, Josef & Nilsson, Viktor & van Vuuren, Aico, 2018. "The impact of the announcement of temporary building sites for refugees on house prices in Gothenburg," Working Papers in Economics 720, University of Gothenburg, Department of Economics.
    3. Sumit Agarwal & Artashes Karapetyan, 2022. "Information Salience and Mispricing in Housing," Management Science, INFORMS, vol. 68(12), pages 9082-9106, December.
    4. Goswami, Gautam & Tan, Sinan, 2012. "Pricing the US residential asset through the rent flow: A cross-sectional study," Journal of Banking & Finance, Elsevier, vol. 36(10), pages 2742-2756.
    5. Gautier, Pieter A. & Vuuren, Aico van, 2019. "The effect of land lease on house prices," Journal of Housing Economics, Elsevier, vol. 46(C).
    6. Bengali, Leila, 2022. "Assessing evidence for inattention to the costs of homeownership," Journal of Housing Economics, Elsevier, vol. 58(PB).
    7. Henry Muyingo, 2015. "Organizational Challenges in the Adoption of Building Applied Photovoltaics in the Swedish Tenant-Owner Housing Sector," Sustainability, MDPI, vol. 7(4), pages 1-28, March.
    8. Silje Eretveit & Theis Theisen, 2016. "Efficiency and Justice in the Market for Cooperative Dwellings," International Real Estate Review, Global Social Science Institute, vol. 19(3), pages 297-326.
    9. van Vuuren, Aico, 2023. "Is there a diminishing willingness to pay for consumption amenities as a result of the Covid-19 pandemic?," Regional Science and Urban Economics, Elsevier, vol. 98(C).
    10. Karl Robertsen & Theis Theisen, 2011. "The Impact of Financial Arrangements and Institutional Form on Housing Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 42(3), pages 371-392, April.

  14. Chiquoine, Benjamin & Hjalmarsson, Erik, 2009. "Jackknifing stock return predictions," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 793-803, December.
    See citations under working paper version above.
  15. Berger, David & Chaboud, Alain & Hjalmarsson, Erik, 2009. "What drives volatility persistence in the foreign exchange market?," Journal of Financial Economics, Elsevier, vol. 94(2), pages 192-213, November.
    See citations under working paper version above.
  16. Beechey, Meredith & Hjalmarsson, Erik & sterholm, Pr, 2009. "Testing the expectations hypothesis when interest rates are near integrated," Journal of Banking & Finance, Elsevier, vol. 33(5), pages 934-943, May.
    See citations under working paper version above.
  17. Hjalmarsson, Erik, 2008. "The Stambaugh bias in panel predictive regressions," Finance Research Letters, Elsevier, vol. 5(1), pages 47-58, March.
    See citations under working paper version above.
  18. Hjalmarsson, Erik, 2008. "Interpreting long-horizon estimates in predictive regressions," Finance Research Letters, Elsevier, vol. 5(2), pages 104-117, June.
    See citations under working paper version above.
  19. Hjalmarsson, Erik, 2007. "Fully modified estimation with nearly integrated regressors," Finance Research Letters, Elsevier, vol. 4(2), pages 92-94, June.
    See citations under working paper version above.
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