IDEAS home Printed from https://ideas.repec.org/e/c/pfu3.html
   My authors  Follow this author

Ana-Maria Fuertes

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. Adrian Fernandez-Perez & Ana-Maria Fuertes & Joelle Miffre, 2021. "The Risk Premia of Energy Futures," Post-Print hal-03312959, HAL.

    Cited by:

    1. Xu, Nuo & Kasimov, Ikboljon & Wang, Yanan, 2022. "Unlocking private investment as a new determinant of green finance for renewable development in China," Renewable Energy, Elsevier, vol. 198(C), pages 1121-1130.
    2. Xiao, Jihong & Wang, Yudong, 2022. "Macroeconomic uncertainty, speculation, and energy futures returns: Evidence from a quantile regression," Energy, Elsevier, vol. 241(C).

  2. Ana-Maria Fuertes & Maria-Dolores Robles, 2021. "Bank Credit Risk Events and Peers’ Equity Value," Documentos de Trabajo del ICAE 2021-06, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

    Cited by:

    1. Fu, Zheng & Ma, Yechi & Li, Suyang & Qiao, Lu, 2023. "Peer performance and the asymmetric timeliness of earnings recognition," International Review of Financial Analysis, Elsevier, vol. 85(C).

  3. John Hua & Adrian Fernandez-Perez & Ana-Maria Fuertes & Joelle Miffre, 2020. "Speculative Pressure," Post-Print hal-02500777, HAL.

    Cited by:

    1. Doojin Ryu & Jinyoung Yu, 2022. "Sentiment‐dependent impact of funding liquidity shocks on futures market liquidity," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(1), pages 61-76, January.
    2. Joonhyuk Song & Doojin Ryu & Jinyoung Yu, 2023. "Changes in the options contract size and arbitrage opportunities," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(1), pages 122-137, January.
    3. Olga Dodd & Adrian Fernández-Pérez & Simon Sosvilla-Rivero, 2024. "Currency and commodity return relationship under extreme geopolitical risks: evidence from the invasion of Ukraine," Applied Economics Letters, Taylor & Francis Journals, vol. 31(1), pages 46-55, January.
    4. Bianchi, Robert J. & Fan, John Hua & Zhang, Tingxi, 2021. "Investable commodity premia in China," Journal of Banking & Finance, Elsevier, vol. 127(C).
    5. Logan Cochrane & Eric P. H. Li & Melisew Dejene & M. Mustahid Husain, 2024. "Why foreign agricultural investment fails? Five lessons from Ethiopia," Journal of International Development, John Wiley & Sons, Ltd., vol. 36(1), pages 541-558, January.
    6. Zhou, Xinquan & Bagnarosa, Guillaume & Gohin, Alexandre & Pennings, Joost M.E. & Debie, Philippe, 2023. "Microstructure and high-frequency price discovery in the soybean complex," Journal of Commodity Markets, Elsevier, vol. 30(C).
    7. Fan, John Hua & Mo, Di & Zhang, Tingxi, 2022. "The “necessary evil” in Chinese commodity markets," Journal of Commodity Markets, Elsevier, vol. 25(C).
    8. Boos, Dominik & Grob, Linus, 2023. "Tracking speculative trading," Journal of Financial Markets, Elsevier, vol. 64(C).
    9. Prokopczuk, Marcel & Symeonidis, Lazaros & Wese Simen, Chardin & Wichmann, Robert, 2023. "Convenience yield risk," Energy Economics, Elsevier, vol. 120(C).
    10. Meng Han, 2023. "Commodity momentum and reversal: Do they exist, and if so, why?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(9), pages 1204-1237, September.
    11. John Hua Fan & Tingxi Zhang, 2020. "The untold story of commodity futures in China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(4), pages 671-706, April.

  4. Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Gonzalez-Fernandez, Marcos & Miffre, Joelle, 2019. "Fear of Hazards in Commodity Futures Markets," MPRA Paper 100528, University Library of Munich, Germany, revised 06 May 2020.

    Cited by:

    1. Qunzi Zhang, 2021. "One hundred years of rare disaster concerns and commodity prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(12), pages 1891-1915, December.
    2. Karin Martín-Bujack & Isabel Figuerola-Ferretti & Teresa Corzo & Ioannis Paraskevopoulos, 2022. "Building Knowledge in the Oil Market," SAGE Open, , vol. 12(1), pages 21582440211, January.
    3. Hua, Renhai & Liu, Qingfu & Tse, Yiuman & Yu, Qin, 2023. "The impact of natural disaster risk on the return of agricultural futures," Journal of Asian Economics, Elsevier, vol. 87(C).
    4. Ding, Qian & Huang, Jianbai & Zhang, Hongwei, 2022. "Time-frequency spillovers among carbon, fossil energy and clean energy markets: The effects of attention to climate change," International Review of Financial Analysis, Elsevier, vol. 83(C).
    5. Borgards, Oliver & Czudaj, Robert L. & Hoang, Thi Hong Van, 2021. "Price overreactions in the commodity futures market: An intraday analysis of the Covid-19 pandemic impact," Resources Policy, Elsevier, vol. 71(C).
    6. Jun Yuan & Qi Xu & Ying Wang, 2023. "Probability weighting in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(4), pages 516-548, April.
    7. Zhang, Dongna & Dai, Xingyu & Wang, Qunwei & Lau, Chi Keung Marco, 2023. "Impacts of weather conditions on the US commodity markets systemic interdependence across multi-timescales," Energy Economics, Elsevier, vol. 123(C).
    8. Morelli, Giacomo, 2023. "Stochastic ordering of systemic risk in commodity markets," Energy Economics, Elsevier, vol. 117(C).
    9. Fan, John Hua & Qiao, Xiao, 2023. "Commodity momentum: A tale of countries and sectors," Journal of Commodity Markets, Elsevier, vol. 29(C).
    10. Ronn, Ehud I., 2022. "Commodity market indicators of a 2023 Texas winter freeze," Journal of Commodity Markets, Elsevier, vol. 27(C).
    11. Anastasiou, Dimitrios & Drakos, Konstantinos, 2021. "European depositors’ behavior and crisis sentiment," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 117-136.
    12. Xiao, Jihong & Wang, Yudong, 2022. "Macroeconomic uncertainty, speculation, and energy futures returns: Evidence from a quantile regression," Energy, Elsevier, vol. 241(C).
    13. John Hua Fan & Sebastian Binnewies & Sanuri De Silva, 2023. "Wisdom of crowds and commodity pricing," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(8), pages 1040-1068, August.
    14. Su, Zhi & Liu, Peng & Fang, Tong, 2022. "Pandemic-induced fear and stock market returns: Evidence from China," Global Finance Journal, Elsevier, vol. 54(C).

  5. Adrian Fernandez-Perez & Bart Frijns & Ana-Maria Fuertes & Joelle Miffre, 2018. "The skewness of commodity futures returns," Post-Print hal-01678744, HAL.

    Cited by:

    1. Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Miffre, Joëlle, 2019. "A comprehensive appraisal of style-integration methods," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 134-150.
    2. Mo, Xuan & Su, Zhi & Yin, Libo, 2019. "Can the skewness of oil returns affect stock returns? Evidence from China’s A-Share markets," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    3. Zhuo Huang & Fang Liang & Chen Tong, 2021. "The predictive power of macroeconomic uncertainty for commodity futures volatility," International Review of Finance, International Review of Finance Ltd., vol. 21(3), pages 989-1012, September.
    4. Julia S. Mehlitz & Benjamin R. Auer, 2021. "Time‐varying dynamics of expected shortfall in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(6), pages 895-925, June.
    5. Shirui Wang & Tianyang Zhang, 2024. "Predictability of commodity futures returns with machine learning models," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(2), pages 302-322, February.
    6. Yeguang Chi & Wenyan Hao & Jiangdong Hu & Zhenkai Ran, 2023. "An empirical investigation on risk factors in cryptocurrency futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(8), pages 1161-1180, August.
    7. Zaremba, Adam & Long, Huaigang & Karathanasopoulos, Andreas, 2019. "Short-term momentum (almost) everywhere," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
    8. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, September.
    9. Zaremba, Adam & Bianchi, Robert J. & Mikutowski, Mateusz, 2021. "Long-run reversal in commodity returns: Insights from seven centuries of evidence," Journal of Banking & Finance, Elsevier, vol. 133(C).
    10. Dai, Xingyu & Xiao, Ling & Wang, Qunwei & Dhesi, Gurjeet, 2021. "Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS," Energy Policy, Elsevier, vol. 156(C).
    11. Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Gonzalez-Fernandez, Marcos & Miffre, Joelle, 2019. "Fear of Hazards in Commodity Futures Markets," MPRA Paper 100528, University Library of Munich, Germany, revised 06 May 2020.
    12. Zhang, Zhikai & He, Mengxi & Zhang, Yaojie & Wang, Yudong, 2021. "Realized skewness and the short-term predictability for aggregate stock market volatility," Economic Modelling, Elsevier, vol. 103(C).
    13. Bonato, Matteo & Demirer, Riza & Gupta, Rangan & Pierdzioch, Christian, 2018. "Gold futures returns and realized moments: A forecasting experiment using a quantile-boosting approach," Resources Policy, Elsevier, vol. 57(C), pages 196-212.
    14. Daxuan Cheng & Yin Liao & Zheyao Pan, 2023. "The geopolitical risk premium in the commodity futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(8), pages 1069-1090, August.
    15. Yasuhiro Iwanaga & Ryuta Sakemoto, 2023. "Commodity momentum decomposition," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(2), pages 198-216, February.
    16. Söhnke M. Bartram & Harald Lohre & Peter F. Pope & Ananthalakshmi Ranganathan, 2021. "Navigating the factor zoo around the world: an institutional investor perspective," Journal of Business Economics, Springer, vol. 91(5), pages 655-703, July.
    17. Zhen, Fang & Chen, Jingnan, 2022. "A closed-form mean–variance–skewness portfolio strategy," Finance Research Letters, Elsevier, vol. 47(PB).
    18. Hossein Rad & Rand Low & Joelle Miffre & Robert Faff, 2020. "Does sophistication of the weighting scheme enhance the performance of long-short commodity portfolios?," Post-Print hal-02868473, HAL.
    19. Bianchi, Robert J. & Fan, John Hua & Zhang, Tingxi, 2021. "Investable commodity premia in China," Journal of Banking & Finance, Elsevier, vol. 127(C).
    20. Finta, Marinela Adriana & Ornelas, José Renato Haas, 2022. "Commodity return predictability: Evidence from implied variance, skewness, and their risk premia☆☆," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    21. Jun Yuan & Qi Xu & Ying Wang, 2023. "Probability weighting in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(4), pages 516-548, April.
    22. Adrian Fernandez-Perez & Ana-Maria Fuertes & Joelle Miffre, 2021. "The Risk Premia of Energy Futures," Post-Print hal-03312959, HAL.
    23. Zhang, Xuan & Xiao, Jun & Zhang, Zhekai, 2020. "An anatomy of commodity futures returns in China," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    24. Yin, Libo & Wang, Yang, 2019. "Forecasting the oil prices: What is the role of skewness risk?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    25. Ali, Heba, 2019. "Does downside risk matter more in asset pricing? Evidence from China," Emerging Markets Review, Elsevier, vol. 39(C), pages 154-174.
    26. Zaremba, Adam & Mikutowski, Mateusz & Karathanasopoulos, Andreas & Osman, Mohamed, 2019. "Picking winners to pick your winners: The momentum effect in commodity risk factors," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    27. Marc J. M. Bohmann & David Michayluk & Vinay Patel, 2019. "Price discovery in commodity derivatives: Speculation or hedging?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(9), pages 1107-1121, September.
    28. Ahn, Jung-Hyun & Six, Pierre, 2019. "A study of first generation commodity indices: Indices based on financial diversification," Finance Research Letters, Elsevier, vol. 30(C), pages 194-200.
    29. Giuseppe Arbia & Riccardo Bramante & Silvia Facchinetti, 2020. "Least Quartic Regression Criterion to Evaluate Systematic Risk in the Presence of Co-Skewness and Co-Kurtosis," Risks, MDPI, vol. 8(3), pages 1-14, September.
    30. Hossein Rad & Rand Kwong Yew Low & Joelle Miffre & Robert Faff, 2022. "The Strategic Allocation to Style-Integrated Portfolios of Commodity Futures," Post-Print hal-03881976, HAL.
    31. Fuertes, Ana-Maria & Zhao, Nan, 2023. "A Bayesian perspective on commodity style integration," Journal of Commodity Markets, Elsevier, vol. 30(C).
    32. Jiang, Xue & Han, Liyan & Yin, Libo, 2019. "Can skewness predict currency excess returns?," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 628-641.
    33. Qi Xu & Yang Ye, 2023. "Commodity network and predictable returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(10), pages 1423-1449, October.
    34. Enilov, Martin & Mensi, Walid & Stankov, Petar, 2023. "Does safe haven exist? Tail risks of commodity markets during COVID-19 pandemic," Journal of Commodity Markets, Elsevier, vol. 29(C).
    35. Fuertes, Ana-Maria & Zhao, Nan, 2022. "A Bayesian Perspective on Commodity Style Integration," MPRA Paper 117831, University Library of Munich, Germany, revised 2023.
    36. Prokopczuk, Marcel & Symeonidis, Lazaros & Wese Simen, Chardin & Wichmann, Robert, 2023. "Convenience yield risk," Energy Economics, Elsevier, vol. 120(C).
    37. Manuel Ammann & Mathis Moerke & Marcel Prokopczuk & Christoph Matthias Würsig, 2023. "Commodity tail risks," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(2), pages 168-197, February.
    38. Zhang, Xinxin & Bouri, Elie & Xu, Yahua & Zhang, Gongqiu, 2022. "The asymmetric relationship between returns and implied higher moments: Evidence from the crude oil market," Energy Economics, Elsevier, vol. 109(C).
    39. 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.
    40. Meng Han, 2023. "Commodity momentum and reversal: Do they exist, and if so, why?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(9), pages 1204-1237, September.
    41. Morelli, Giacomo, 2023. "Stochastic ordering of systemic risk in commodity markets," Energy Economics, Elsevier, vol. 117(C).
    42. Fan, John Hua & Qiao, Xiao, 2023. "Commodity momentum: A tale of countries and sectors," Journal of Commodity Markets, Elsevier, vol. 29(C).
    43. Zaremba, Adam & Mikutowski, Mateusz & Szczygielski, Jan Jakub & Karathanasopoulos, Andreas, 2021. "The alpha momentum effect in commodity markets," Energy Economics, Elsevier, vol. 93(C).
    44. Afees A. Salisu & Rangan Gupta, 2023. "Oil Price Returns Skewness and Forecastability of International Stock Returns Over One Century of Data," Working Papers 202339, University of Pretoria, Department of Economics.
    45. Dai, Zhifeng & Zhou, Huiting & Kang, Jie & Wen, Fenghua, 2021. "The skewness of oil price returns and equity premium predictability," Energy Economics, Elsevier, vol. 94(C).
    46. Adnen Ben Nasr & Matteo Bonato & Riza Demirer & Rangan Gupta, 2019. "Investor Sentiment and Crash Risk in Safe Havens," Journal of Economics and Behavioral Studies, AMH International, vol. 10(6), pages 97-108.
    47. Chen, Rongxin & Lepori, Gabriele M. & Tai, Chung-Ching & Sung, Ming-Chien, 2022. "Explaining cryptocurrency returns: A prospect theory perspective," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    48. Xiao, Jihong & Wang, Yudong, 2022. "Macroeconomic uncertainty, speculation, and energy futures returns: Evidence from a quantile regression," Energy, Elsevier, vol. 241(C).
    49. Shimeng Shi, 2022. "Bitcoin futures risk premia," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(12), pages 2190-2217, December.
    50. Sakkas, Athanasios & Tessaromatis, Nikolaos, 2020. "Factor based commodity investing," Journal of Banking & Finance, Elsevier, vol. 115(C).
    51. Xue Jiang & Liyan Han & Yang Xu, 2021. "How does skewness perform in the Chinese commodity futures market?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(8), pages 1268-1285, August.
    52. Bianchi, Robert J. & Fan, John Hua & Miffre, Joëlle & Zhang, Tingxi, 2023. "Exploiting the dynamics of commodity futures curves," Journal of Banking & Finance, Elsevier, vol. 154(C).
    53. Qi Xu & Ying Wang, 2021. "Managing volatility in commodity momentum," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(5), pages 758-782, May.
    54. John Hua Fan & Sebastian Binnewies & Sanuri De Silva, 2023. "Wisdom of crowds and commodity pricing," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(8), pages 1040-1068, August.
    55. Ana‐Maria Fuertes & Zhenya Liu & Weiqing Tang, 2022. "Risk‐neutral skewness and commodity futures pricing," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(4), pages 751-785, April.
    56. Marinela Adriana Finta & José Renato Haas Ornelas, 2018. "Commodity Return Predictability: evidence from implied variance, skewness and their risk premia and their risk premia," Working Papers Series 479, Central Bank of Brazil, Research Department.
    57. Liu, Yiye & Han, Liyan & Wu, You, 2022. "Can skewness predict CNY-CNH spread?," Finance Research Letters, Elsevier, vol. 46(PB).
    58. John Hua Fan & Tingxi Zhang, 2020. "The untold story of commodity futures in China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(4), pages 671-706, April.
    59. Carnero, M. Angeles & León, Angel & Ñíguez, Trino-Manuel, 2023. "Skewness in energy returns: estimation, testing and retain-->implications for tail risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 178-189.

  6. Raphael, Brun-Aguerre & Ana-Maria, Fuertes & Matthew, Greenwood-Nimmo, 2016. "Heads I Win, Tails You Lose: Asymmetry in Exchange Rate Pass-Through Into Import Prices," MPRA Paper 71764, University Library of Munich, Germany.

    Cited by:

    1. Fan, Rui & Talavera, Oleksandr & Tran, Vu, 2023. "Information flows and the law of one price," International Review of Financial Analysis, Elsevier, vol. 85(C).
    2. Angeles Galvan Daniel & Cortés Espada Josué Fernando & Sámano Daniel, 2019. "Evolution and Characteristics of the Exchange Rate Pass Through to Prices in Mexico," Working Papers 2019-10, Banco de México.
    3. Tosapol Apaitan & Pym Manopimoke & Nuwat Nookhwun & Jettawat Pattararangrong, 2021. "Heterogeneity in Exchange Rate Pass-through to Import Prices in Thailand: Evidence from Micro Data," PIER Discussion Papers 167, Puey Ungphakorn Institute for Economic Research.
    4. Diby François Kassi & Dilesha Nawadali Rathnayake & Akadje Jean Roland Edjoukou & Yobouet Thierry Gnangoin & Pierre Axel Louembe & Ning Ding & Gang Sun, 2019. "Asymmetry in Exchange Rate Pass-Through to Consumer Prices: New Perspective from Sub-Saharan African Countries," Economies, MDPI, vol. 7(1), pages 1-33, January.
    5. Beverly Lapham & Ayman Mnasri, 2019. "Exchange Rate Pass-Through: A Competitive Search Approach," Working Paper 1418, Economics Department, Queen's University.
    6. Roberta Colavecchio & Ieva Rubene, 2019. "Non-linear exchange rate pass-through to euro area inflation: A local projection approach," BCL working papers 138, Central Bank of Luxembourg.
    7. Alsamara, Mouyad & Mrabet, Zouhair & Hatemi-J, Abdulnasser, 2020. "Pass-through of import cost into consumer prices and inflation in GCC countries: Evidence from a nonlinear autoregressive distributed lags model," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 89-101.
    8. Fedoseeva, Svetlana & Zeidan, Rodrigo, 2018. "How (a)symmetric is the response of import demand to changes in its determinants? Evidence from European energy imports," Energy Economics, Elsevier, vol. 69(C), pages 379-394.
    9. Jin Seo Cho & Matthew Greenwood-Nimmo & Yongcheol Shin, 2021. "Recent Developments of the Autoregressive Distributed Lag Modelling Framework," Working papers 2021rwp-186, Yonsei University, Yonsei Economics Research Institute.
    10. Baharumshah, Ahmad Zubaidi & Sirag, Abdalla & Soon, Siew-Voon, 2017. "Asymmetric exchange rate pass-through in an emerging market economy: The case of Mexico," Research in International Business and Finance, Elsevier, vol. 41(C), pages 247-259.
    11. Kashif Munir, 2023. "Energy use and environmental degradation in Europe: evidence from panel nonlinear ARDL," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2529-2543, June.
    12. Dainauskas, Justas, 2023. "Time-varying exchange rate pass-through into terms of trade," Journal of International Money and Finance, Elsevier, vol. 137(C).
    13. Ben Cheikh, Nidhaleddine & Ben Zaied, Younes, 2020. "Revisiting the pass-through of exchange rate in the transition economies: New evidence from new EU member states," Journal of International Money and Finance, Elsevier, vol. 100(C).
    14. Alsamara, Mouyad & Mrabet, Zouhair & Dombrecht, Michel, 2018. "Asymmetric import cost pass-through in GCC countries: Evidence from nonlinear panel analysis," Economic Modelling, Elsevier, vol. 75(C), pages 432-440.
    15. Kassi, Diby François & Sun, Gang & Ding, Ning & Rathnayake, Dilesha Nawadali & Assamoi, Guy Roland, 2019. "Asymmetry in exchange rate pass-through to consumer prices: Evidence from emerging and developing Asian countries," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 357-372.

  7. Fuertes, Ana-Maria & Kalotychou, Elena & Saka, Orkun, 2014. "ECB Policy and Eurozone Fragility: Was De Grauwe Right?," CEPS Papers 9414, Centre for European Policy Studies.

    Cited by:

    1. Ioannis Chatziantoniou & David Gabauer, 2019. "EMU-Risk Synchronisation and Financial Fragility Through the Prism of Dynamic Connectedness," Working Papers in Economics & Finance 2019-07, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    2. Gilles Dufrénot & Karine Gente & Frédia Monsia, 2016. "Macroeconomic imbalances, financial stress and fiscal vulnerability in the euro area before the debt crises: A market view," Post-Print hal-01440301, HAL.
    3. Acharya, Viral & Pierret, Diane & Steffen, Sascha, 2016. "Lender of last resort versus buyer of last resort: The impact of the European Central Bank actions on the bank-sovereign nexus," ZEW Discussion Papers 16-019, ZEW - Leibniz Centre for European Economic Research.
    4. Minetti, Raoul & Di Pietro, Marco & Marattin, Luigi, 2020. "Public Debt, Sovereign Spreads and the Unpleasant Arithmetic of Fiscal Consolidations," Working Papers 2020-4, Michigan State University, Department of Economics.
    5. McQuade, Peter & Falagiarda, Matteo & Tirpák, Marcel, 2015. "Spillovers from the ECB's non-standard monetary policies on non-euro area EU countries: evidence from an event-study analysis," Working Paper Series 1869, European Central Bank.
    6. De Grauwe, Paul & Ji, Yuemei & Steinbach, Armin, 2017. "The EU debt crisis: Testing and revisiting conventional legal doctrine," International Review of Law and Economics, Elsevier, vol. 51(C), pages 29-37.
    7. Afonso, A & Arghyrou, MG & Gadea, MD & Kontonikas, A, 2017. ""Whatever it takes" to resolve the European sovereign debt crisis? Bond pricing regime switches and monetary policy effects," Essex Finance Centre Working Papers 20417, University of Essex, Essex Business School.
    8. Claudius Graebner & Philipp Heimberger & Jakob Kapeller & Michael Landesmann & Bernhard Schuetz, 2021. "The evolution of debtor-creditor relationships within a monetary union: Trade imbalances, excess reserves and economic policy," ICAE Working Papers 122, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    9. Malliaropulos, Dimitris & Migiakis, Petros, 2018. "The re-pricing of sovereign risks following the Global Financial Crisis," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 39-56.
    10. Carsten M. Stann & Theocharis N. Grigoriadis, 2020. "Monetary Policy Transmission to Russia and Eastern Europe," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 62(2), pages 303-353, June.
    11. Wu, Eliza & Erdem, Magdalena & Kalotychou, Elena & Remolona, Eli, 2016. "The anatomy of sovereign risk contagion," Journal of International Money and Finance, Elsevier, vol. 69(C), pages 264-286.
    12. Veronika Akhmadieva & Ron P. Smith, 2019. "The Macroeconomic Impact of the Euro," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 66(3), pages 229-249, December.
    13. Hartwell Christopher A., 2019. "Complexity, Uncertainty, and Monetary Policy: Can the ECB Avoid the Unconventional Becoming the ‘New Normal’?," The Economists' Voice, De Gruyter, vol. 16(1), pages 1-13, December.
    14. Gül Huyugüzel Kışla & Y. Gülnur Muradoğlu & A. Özlem Önder, 2022. "Spillovers from one country’s sovereign debt to CDS (credit default swap) spreads of others during the European crisis: a spatial approach," Journal of Asset Management, Palgrave Macmillan, vol. 23(4), pages 277-296, July.
    15. Heimberger, Philipp, 2023. "Public debt and r-g risks in advanced economies: Eurozone versus stand-alone," Journal of International Money and Finance, Elsevier, vol. 136(C).
    16. Kapeller, Jakob & Gräbner, Claudius & Heimberger, Philipp, 2019. "Economic polarisation in Europe: Causes and policy options," ifso working paper series 5, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    17. Tarek Chebbi, 2021. "The response of precious metal futures markets to unconventional monetary surprises in the presence of uncertainty," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1897-1916, April.
    18. Orkun Saka, 2019. "Domestic Banks as Lightning Rods? Home Bias and Information during the Eurozone Crisis," CESifo Working Paper Series 7939, CESifo.
    19. Graham Bird & Wenti Du & Thomas Willett, 2017. "Behavioral Finance and Efficient Markets: What does the Euro Crisis Tell us?," Open Economies Review, Springer, vol. 28(2), pages 273-295, April.
    20. Ostry, Jonathan D. & Debrun, Xavier & Willems, Tim & Wyplosz, Charles, 2019. "Public Debt Sustainability," CEPR Discussion Papers 14010, C.E.P.R. Discussion Papers.
    21. Saka, Orkun, 2019. "Domestic banks as lightning rods? Home bias and information during Eurozone crisis," Bank of Finland Research Discussion Papers 3/2019, Bank of Finland.
    22. Oussama Kchaou & Makram Bellalah & Sofiane Tahi, 2022. "Transmission of the Greek crisis on the sovereign debt markets in the euro area," Annals of Operations Research, Springer, vol. 313(2), pages 1117-1139, June.
    23. Wildmer Daniel Gregori & Wildmer Agnese Sacchi, 2016. "Has the Grexit news spilled over into euro area financial markets? The role of domestic political leaders, supranational executives and institutions," Mo.Fi.R. Working Papers 134, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    24. Dimitris A. Georgoutsos & Petros M. Migiakis, 2018. "Risk perceptions and fundamental effects on sovereign spreads," Working Papers 250, Bank of Greece.
    25. Destefanis, Sergio & Fragetta, Matteo & Gasteiger, Emanuel, 2021. "Does one size fit all in the Euro Area? Some counterfactual evidence," ECON WPS - Working Papers in Economic Theory and Policy 05/2019, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit, revised 2021.
    26. Michal Szkup, 2022. "Preventing Self-Fulfilling Debt Crises: A Global Games Approach," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 43, pages 22-55, January.
    27. Fuertes, Ana-Maria & Robles, Maria-Dolores, 2021. "Bank credit risk events and peers' equity value," International Review of Financial Analysis, Elsevier, vol. 75(C).
    28. Giordano, Matteo & Goghie, Alexandru-Stefan, 2023. "From Policy to Regime: the changing posture of the ECB between liquidity and collateral through the lens of Monetary Regime," SocArXiv rw3ms, Center for Open Science.
    29. Wojciech Grabowski, 2019. "Givers or Recipients? Co-Movements between Stock Markets of CEE-3 and Developed Countries," Sustainability, MDPI, vol. 11(22), pages 1-24, November.
    30. Junttila, Juha & Nguyen, Vo Cao Sang, 2022. "Impacts of sovereign risk premium on bank profitability: Evidence from euro area," International Review of Financial Analysis, Elsevier, vol. 81(C).
    31. Viktor Dinev, 2017. "“Macroeconomic Imbalances” Factor for the Euro Area Debt Crisis," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 142-177.
    32. Gómez-Puig, Marta & Pieterse-Bloem, Mary & Sosvilla-Rivero, Simón, 2023. "Dynamic connectedness between credit and liquidity risks in euro area sovereign debt markets," Journal of Multinational Financial Management, Elsevier, vol. 68(C).
    33. Karimalis, Emmanouil & Kosmidis, Ioannis & Peters, Gareth, 2017. "Multi yield curve stress-testing framework incorporating temporal and cross tenor structural dependencies," Bank of England working papers 655, Bank of England.
    34. António Afonso & João Tovar Jalles, 2020. "Economic volatility and sovereign yields’ determinants: a time-varying approach," Empirical Economics, Springer, vol. 58(2), pages 427-451, February.
    35. Zeilbeck, Severin, 2015. "An investment initiative for fiscally constrained EU member states: The role of synergetic financial instruments," IPE Working Papers 58/2015, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
    36. Saka, Orkun, 2018. "Domestic banks as lightning rods? Home bias and information during Eurozone crisis," LSE Research Online Documents on Economics 118921, London School of Economics and Political Science, LSE Library.
    37. Orkun Saka, 2020. "Domestic Banks As Lightning Rods? Home Bias and Information during the Eurozone Crisis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(S1), pages 273-305, October.
    38. Singh, Manish K. & Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2021. "Quantifying sovereign risk in the euro area," Economic Modelling, Elsevier, vol. 95(C), pages 76-96.
    39. Iván Kataryniuk & Víctor Mora-Bajén & Javier J. Pérez, 2021. "EMU deepening and sovereign debt spreads: using political space to achieve policy space," Working Papers 2103, Banco de España.
    40. Hjalte Lokdam, 2020. "‘We Serve the People of Europe’: Reimagining the ECB's Political Master in the Wake of its Emergency Politics," Journal of Common Market Studies, Wiley Blackwell, vol. 58(4), pages 978-998, July.
    41. Corvino, Raffaele & Ruggiero, Francesco, 2021. "The relative pricing of sovereign credit risk after the Eurozone crisis," Journal of International Money and Finance, Elsevier, vol. 112(C).
    42. Wojciech Grabowski & Ewa Stawasz-Grabowska, 2019. "News Releases, Credit Rating Announcements, and Anti-Crisis Measures as Determinants of Sovereign Bond Spreads in the Peripheral Euro-Area Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 69(2), pages 149-173, April.
    43. Emmanuel Numapau Gyamfi & Anokye Mohammed Adam & Emily Frimpomaa Appiah, 2019. "Macroeconomic convergence in the West African monetary zone: Evidence from rank tests," Economics and Business Letters, Oviedo University Press, vol. 8(4), pages 191-198.
    44. Gregori, Wildmer Daniel & Sacchi, Agnese, 2019. "Has the Grexit news affected euro area financial markets?," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 71-84.
    45. Orkun Saka, 2017. "Domestic banks as lightning rods? Home bias during the Eurozone crisis," LEQS – LSE 'Europe in Question' Discussion Paper Series 122, European Institute, LSE.
    46. Lokdam, Hjalte, 2020. "We serve the people of Europe: reimagining the ECB's political master in the wake of its emergency politics," LSE Research Online Documents on Economics 111873, London School of Economics and Political Science, LSE Library.
    47. Philipp Mohl & Gilles Mourre & Sven Langedijk & Martijn Hoogeland, 2021. "Does Media Visibility Make EU Fiscal Rules More Effective?," European Economy - Discussion Papers 155, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.

  8. Elena Kalotychou & Ana-Maria Fuertes, 2006. "On Sovereign Credit Migration: A Study of Alternative Estimators and Rating Dynamics," Computing in Economics and Finance 2006 509, Society for Computational Economics.

    Cited by:

    1. Walter Orth, 2013. "Default probability estimation in small samples--with an application to sovereign bonds," Quantitative Finance, Taylor & Francis Journals, vol. 13(12), pages 1891-1902, December.
    2. Pasanisi, Alberto & Fu, Shuai & Bousquet, Nicolas, 2012. "Estimating discrete Markov models from various incomplete data schemes," Computational Statistics & Data Analysis, Elsevier, vol. 56(9), pages 2609-2625.
    3. Fuertes, Ana-Maria & Kalotychou, Elena, 2006. "Early warning systems for sovereign debt crises: The role of heterogeneity," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1420-1441, November.
    4. Balios, Dimitris & Thomadakis, Stavros & Tsipouri, Lena, 2016. "Credit rating model development: An ordered analysis based on accounting data," Research in International Business and Finance, Elsevier, vol. 38(C), pages 122-136.
    5. Hill, Paula & Brooks, Robert & Faff, Robert, 2010. "Variations in sovereign credit quality assessments across rating agencies," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1327-1343, June.
    6. Do, Hung Xuan & Brooks, Robert & Treepongkaruna, Sirimon & Wu, Eliza, 2014. "The effects of sovereign rating drifts on financial return distributions: Evidence from the European Union," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 5-20.
    7. Jeffrey R. Stokes, 2023. "A nonlinear inversion procedure for modeling the effects of economic factors on credit risk migration," Review of Quantitative Finance and Accounting, Springer, vol. 61(3), pages 855-878, October.
    8. Alsakka, Rasha & ap Gwilym, Owain, 2010. "A random effects ordered probit model for rating migrations," Finance Research Letters, Elsevier, vol. 7(3), pages 140-147, September.
    9. D’Amico, Guglielmo & Scocchera, Stefania & Storchi, Loriano, 2018. "Financial risk distribution in European Union," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 252-267.
    10. Uslu Çağrı L., 2017. "Examining the Behavior of Credit Rating Agencies Post 2008 Economic Turmoil," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 53(4), pages 61-76, December.
    11. Rasha Alsakka & Owain ap Gwilym, 2010. "Sovereign Ratings and Migrations: Emerging Markets," Working Papers 10009, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    12. Guglielmo D'Amico & Filippo Petroni & Philippe Regnault & Stefania Scocchera & Loriano Storchi, 2019. "A copula based Markov Reward approach to the credit spread in European Union," Papers 1902.00691, arXiv.org.
    13. Alsakka, Rasha & ap Gwilym, Owain, 2012. "Rating agencies' credit signals: An analysis of sovereign watch and outlook," International Review of Financial Analysis, Elsevier, vol. 21(C), pages 45-55.
    14. Orth, Walter, 2011. "Default probability estimation in small samples - with an application to sovereign bonds," MPRA Paper 33778, University Library of Munich, Germany.
    15. Chan, Ngai Hang & Wong, Hoi Ying & Zhao, Jing, 2012. "Structural model of credit migration," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3477-3490.
    16. Tamás Kristóf, 2021. "Sovereign Default Forecasting in the Era of the COVID-19 Crisis," JRFM, MDPI, vol. 14(10), pages 1-24, October.
    17. Camilla Ferretti & Giampaolo Gabbi & Piero Ganugi & Federica Sist & Pietro Vozzella, 2019. "Credit Risk Migration and Economic Cycles," Risks, MDPI, vol. 7(4), pages 1-18, October.
    18. Sumon Bhaumik & John S. Landon-Lane, 2007. "Directional Mobility of Ratings," William Davidson Institute Working Papers Series wp900, William Davidson Institute at the University of Michigan.
    19. Al-Sakka, Rasha & ap Gwilym, Owain, 2009. "Heterogeneity of sovereign rating migrations in emerging countries," Emerging Markets Review, Elsevier, vol. 10(2), pages 151-165, June.
    20. Slapnik, Ursula & Lončarski, Igor, 2021. "On the information content of sovereign credit rating reports: Improving the predictability of rating transitions☆," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    21. Oliver Blümke, 2020. "Estimating the probability of default for no‐default and low‐default portfolios," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(1), pages 89-107, January.
    22. Alsakka, Rasha & ap Gwilym, Owain, 2010. "Leads and lags in sovereign credit ratings," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2614-2626, November.
    23. Orth, Walter, 2011. "Default probability estimation in small samples: With an application to sovereign bonds," Discussion Papers in Econometrics and Statistics 5/11, University of Cologne, Institute of Econometrics and Statistics.
    24. Al-Sakka, Rasha & ap Gwilym, Owain, 2010. "Split sovereign ratings and rating migrations in emerging economies," Emerging Markets Review, Elsevier, vol. 11(2), pages 79-97, June.

  9. Ana-Maria Fuertes & Elena Kalotychou, 2004. "Forecasting sovereign default using panel models: A comparative analysis," Computing in Economics and Finance 2004 228, Society for Computational Economics.

    Cited by:

    1. Liu, Feng & Kalotay, Egon & Trück, Stefan, 2018. "Assessing sovereign default risk: A bottom-up approach," Economic Modelling, Elsevier, vol. 70(C), pages 525-542.

  10. Ana-Maria Fuertes & Elena Kalotychou, 2004. "Elements in the Design of an Early Warning System for Sovereign Default," Computing in Economics and Finance 2004 231, Society for Computational Economics.

    Cited by:

    1. Thangjam Rajeshwar Singh, 2011. "An ordered probit model of an early warning system for predicting financial crisis in India," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the IFC Conference on "Initiatives to address data gaps revealed by the financial crisis", Basel, 25-26 August 2010, volume 34, pages 185-201, Bank for International Settlements.
    2. Kalotychou, Elena & Staikouras, Sotiris K., 2006. "An empirical investigation of the loan concentration risk in Latin America," Journal of Multinational Financial Management, Elsevier, vol. 16(4), pages 363-384, October.

  11. Jerry Coakley & Ana-Maria Fuertes & Fabio Spagnolo, 2004. "The Feldstein-Horioka puzzle is not as bad as you think," Money Macro and Finance (MMF) Research Group Conference 2003 17, Money Macro and Finance Research Group.

    Cited by:

    1. Rao, B. Bhaskara & Kumar, Saten, 2009. "A panel data approach to the demand for money and the effects of financial reforms in the Asian countries," Economic Modelling, Elsevier, vol. 26(5), pages 1012-1017, September.
    2. Helmut Herwartz & Fang Xu, 2009. "Panel data model comparison for empirical saving-investment relations," Applied Economics Letters, Taylor & Francis Journals, vol. 16(8), pages 803-807.
    3. Chortareas Georgios E & Kapetanios George & Uctum Merih, 2004. "An Investigation of Current Account Solvency in Latin America Using Non Linear Nonstationarity Tests," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(1), pages 1-19, March.
    4. Ana-Maria Fuertes & Jerry Coakley & Andrew Wood, 2004. "A new interpretation of the real exchange rate - yield differential nexus," Money Macro and Finance (MMF) Research Group Conference 2003 32, Money Macro and Finance Research Group.
    5. Despina Petreska & Nikica Mojsoska-Blazevski, 2013. "The Feldstein-Horioka Puzzle And Transition Economies," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 58(197), pages 23-46, April – J.
    6. Chrysost Bangaké & Jude Eggoh, 2010. "International Capital Mobility in African Countries: Do the legal origins matter?," Economics Bulletin, AccessEcon, vol. 30(1), pages 73-83.
    7. N. Vasudeva Murthy, 2009. "The Feldstein–Horioka puzzle in Latin American and Caribbean countries: a panel cointegration analysis," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 33(2), pages 176-188, April.
    8. Florian Pelgrin & Sebastian Schich, 2004. "National Saving-Investment Dynamics and International Capital Mobility," Staff Working Papers 04-14, Bank of Canada.

  12. Jerry Coakley & Ana-Maria Fuertes & Ron Smith, 2004. "Unobserved Heterogeneity in Panel Time Series Models," Birkbeck Working Papers in Economics and Finance 0403, Birkbeck, Department of Economics, Mathematics & Statistics.

    Cited by:

    1. Ioannis Bournakis & Dimitris Christopoulos & Sushanta Mallick, 2018. "Knowledge Spillovers And Output Per Worker: An Industry‐Level Analysis For Oecd Countries," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 1028-1046, April.
    2. Singh, Harjinder & Sultana, Nigar & Islam, Ariful & Singh, Abhijeet, 2022. "Busy auditors, financial reporting timeliness and quality," The British Accounting Review, Elsevier, vol. 54(3).
    3. Eberhardt, Markus & Vollrath, Dietrich, 2018. "The Effect of Agricultural Technology on the Speed of Development," World Development, Elsevier, vol. 109(C), pages 483-496.
    4. Pesaran, M. Hashem & Tosetti, Elisa, 2007. "Large Panels with Common Factors and Spatial Correlations," IZA Discussion Papers 3032, Institute of Labor Economics (IZA).
    5. Lozano, Ignacio & Julio, Juan Manuel, 2016. "Descentralización fiscal y crecimiento económico en Colombia: evidencia de datos de panel a nivel regional," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    6. Don Freeman, 2009. "Beer in Good Times and Bad: A U.S. State-Level Analysis of Economic Conditions and Alcohol Consumption," Working Papers 0906, Sam Houston State University, Department of Economics and International Business.
    7. António Afonso & João Tovar Jalles, 2011. "Growth and Productivity: the role of Government Debt," Working Papers Department of Economics 2011/13, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    8. Drakos, Anastassios A. & Kouretas, Georgios P. & Stavroyiannis, Stavros & Zarangas, Leonidas, 2017. "Is the Feldstein-Horioka puzzle still with us? National saving-investment dynamics and international capital mobility: A panel data analysis across EU member countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 47(C), pages 76-88.
    9. Erdal Özmen & Özge Doğanay Yaşar, 2015. "Emerging Markets Sovereign Bond Spreads, Credit Ratings and Global Financial Crisis," ERC Working Papers 1510, ERC - Economic Research Center, Middle East Technical University, revised Nov 2015.
    10. Yunus Aksoy & Henrique S. Basso & Ron P. Smith & Tobias Grasl, 2016. "Demographic Structure and Macroeconomic Trends," CESifo Working Paper Series 5872, CESifo.
    11. Özatay, Fatih & Özmen, Erdal & Sahinbeyoglu, Gülbin, 2009. "Emerging market sovereign spreads, global financial conditions and U.S. macroeconomic news," Economic Modelling, Elsevier, vol. 26(2), pages 526-531, March.
    12. Olivier Damette & Mathilde Maurel & Michael A. Stemmer, 2016. "What does it take to grow out of recession? An error-correction approach towards growth convergence of European and transition countries," Post-Print halshs-01318131, HAL.
    13. Alvaro Pereira & João Jalles & Martin Andresen, 2012. "Structural change and foreign direct investment: globalization and regional economic integration," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 11(1), pages 35-82, April.
    14. Atif Awad, 2023. "Information and communication technologies role in alleviating poverty in Sub‐Saharan Africa: Impacts and transmission channels," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 1149-1165, April.
    15. Anke Hoeffler & Mr. Robert H. Bates & Ms. Ghada Fayad, 2012. "Income and Democracy: Lipset's Law Revisited," IMF Working Papers 2012/295, International Monetary Fund.
    16. Ron Smith & Elisa Cavatorta, 2016. "Factor models in panels with cross-sectional dependence: an application to the extended SIPRI military expenditure data," Birkbeck Working Papers in Economics and Finance 1602, Birkbeck, Department of Economics, Mathematics & Statistics.
    17. George Kapetanios & Laura Serlenga & Yongcheol Shin, 2023. "Testing for correlation between the regressors and factor loadings in heterogeneous panels with interactive effects," Empirical Economics, Springer, vol. 64(6), pages 2611-2659, June.
    18. Agnolucci, Paolo, 2009. "The energy demand in the British and German industrial sectors: Heterogeneity and common factors," Energy Economics, Elsevier, vol. 31(1), pages 175-187, January.
    19. Kyriakos Emmanouilidis & Christos Karpetis, 2022. "Cross–Country Dependence, Heterogeneity and the Growth Effects of Military Spending," Defence and Peace Economics, Taylor & Francis Journals, vol. 33(7), pages 842-856, October.
    20. Peter Fuleky & Luigi Ventura & Qianxue Zhao, 2016. "Common Correlated Effects and International Risk Sharing," Working Papers 201612, University of Hawaii at Manoa, Department of Economics.
    21. Millo, Giovanni, 2014. "Robust standard error estimators for panel models: a unifying approach," MPRA Paper 54954, University Library of Munich, Germany.
    22. Cesa-Bianchi, Ambrogio & Cespedes, Luis & Rebucci, Alessandro, 2015. "Global liquidity, house prices and the macroeconomy: evidence from advanced and emerging economies," Bank of England working papers 522, Bank of England.
    23. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N. & Xidonas, Panos, 2019. "The impact of market competition on CEO salary in the US energy sector1," Energy Policy, Elsevier, vol. 132(C), pages 32-37.
    24. George Kapetanios & Simon Price & Menelaos Tasiou & Alexia Ventouri, 2020. "State-level wage Phillips curves," CAMA Working Papers 2020-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    25. Takaaki Aoki, 2008. "One Proposition about Dynamic Portfolio Selection in an Open Economy and International Diversification," Economics Bulletin, AccessEcon, vol. 6(18), pages 1-8.
    26. Nin-Prat, Alejandro & Falconi, Cesar & Ludena, Carlos & Martel, Pedro, 2015. "Productivity and the Performance of Agriculture in Latin America and the Caribbean: From the Lost Decade to the Commodity Boom," 2015 Conference, August 9-14, 2015, Milan, Italy 211725, International Association of Agricultural Economists.
    27. Fuertes, Ana-Maria & Kalotychou, Elena, 2006. "Early warning systems for sovereign debt crises: The role of heterogeneity," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1420-1441, November.
    28. Nikos Benos & Nikolaos Mylonidis & Stefania Zotou, 2017. "Estimating production functions for the US states: the role of public and human capital," Empirical Economics, Springer, vol. 52(2), pages 691-721, March.
    29. Urbain, J.R.Y.J. & Westerlund, J., 2008. "Spurious Regression in Nonstationary Panels time Series with Cross-Member Cointegration," Research Memorandum 044, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    30. Li, Cheng, 2010. "Savings, investment, and capital mobility within China," China Economic Review, Elsevier, vol. 21(1), pages 14-23, March.
    31. Luis Ignacio Lozano-Espitia & Juan Manuel Julio-Román, 2015. "Fiscal Decentralization and Economic Growth: Evidence from Regional-Level Panel Data for Colombia," Borradores de Economia 865i, Banco de la Republica de Colombia.
    32. Abrams M E Tagem, 2017. "Aid, Taxes and Government Spending: A Heterogeneous Cointegrated Panel Analysis," Discussion Papers 2017-02, University of Nottingham, CREDIT.
    33. Erich Gundlach & Martin Paldam, 2016. "Socioeconomic transitions as common dynamic processes," Economics Working Papers 2016-06, Department of Economics and Business Economics, Aarhus University.
    34. Aquaro, M. & Čížek, P., 2013. "One-step robust estimation of fixed-effects panel data models," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 536-548.
    35. Noman, Abdullah, 2008. "Testing for PPP in the Mean-Group Panel Regression Framework: Further Evidence," MPRA Paper 7825, University Library of Munich, Germany.
    36. Gordon Burtch & Anindya Ghose & Sunil Wattal, 2016. "Secret Admirers: An Empirical Examination of Information Hiding and Contribution Dynamics in Online Crowdfunding," Information Systems Research, INFORMS, vol. 27(3), pages 478-496, September.
    37. Daniel Goya, 2014. "The Multiple Impacts of the Exchange Rate on Export Diversification," Cambridge Working Papers in Economics 1436, Faculty of Economics, University of Cambridge.
    38. Vogel, Johanna, 2013. "Regional Convergence in Europe: A Dynamic Heterogeneous Panel Approach," MPRA Paper 51794, University Library of Munich, Germany.
    39. Markus Eberhardt & Francis Teal, 2010. "Aggregation versus Heterogeneity in Cross-Country Growth Empirics," CSAE Working Paper Series 2010-32, Centre for the Study of African Economies, University of Oxford.
    40. Gazi M. Hassan & Arusha Cooray & Mark J. Holmes, 2015. "The Effect of Female and Male Health on Economic Growth: Cross-Country Evidence within a Production Function Framework," Working Papers in Economics 15/03, University of Waikato.
    41. Markus Eberhardt & Francis Teal, 2013. "No Mangoes in the Tundra: Spatial Heterogeneity in Agricultural Productivity Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 914-939, December.
    42. Francis Teal & Markus Eberhardt, 2010. "Productivity Analysis in Global Manufacturing Production," Economics Series Working Papers 515, University of Oxford, Department of Economics.
    43. Daniel Bernhofen & Markus Eberhardt & Jianan Li & Stephen Morgan, 2015. "Assessing Market (Dis)Integration in Early Modern China and Europe," Discussion Papers 2015-12, University of Nottingham, GEP.
    44. Diego-Ivan Ruge-Leiva, 2015. "International R&D Spillovers and other Unobserved Common Spillovers and Shocks," Papers 1502.06805, arXiv.org.
    45. António Afonso & Christophe Rault, 2010. "Short and Long-run Behaviour of Long-term Sovereign Bond Yields," Working Papers Department of Economics 2010/19, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    46. Castagnetti, Carolina & Rossi, Eduardo, 2008. "Euro corporate bonds risk factors," MPRA Paper 13440, University Library of Munich, Germany.
    47. Aninday Banerjee & Markus Eberhardt & J James Reade, 2010. "Panel Estimation for Worriers," Discussion Papers 10-33, Department of Economics, University of Birmingham.
    48. George Kapetanios & Massimiliano Marcellino, 2006. "Factor-GMM Estimation with Large Sets of Possibly Weak Instruments," Working Papers 577, Queen Mary University of London, School of Economics and Finance.
    49. Abrams M.E. Tagem, 2017. "The economics and politics of foreign aid and domestic revenue," WIDER Working Paper Series wp-2017-180, World Institute for Development Economic Research (UNU-WIDER).
    50. Gerdie Everaert & Freddy Heylen & Ruben Schoonackers, 2014. "Fiscal policy and TFP in the OECD : Measuring direct and indirect effects," Working Paper Research 274, National Bank of Belgium.
    51. George Kapetanios & Laura Serlenga & Yongcheol Shin, 2019. "Testing for Correlated Factor Loadings in Cross Sectionally Dependent Panels," SERIES 02-2019, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Jun 2019.
    52. Mantobaye Moundigbaye & William S. Rea & W. Robert Reed, 2017. "Which Panel Data Estimator Should I Use?: A Corrigendum and Extension," Working Papers in Economics 17/10, University of Canterbury, Department of Economics and Finance.
    53. Afonso, António & Jalles, João Tovar, 2013. "Fiscal composition and long-term growth," Working Paper Series 1518, European Central Bank.
    54. Sadorsky, Perry, 2014. "The effect of urbanization on CO2 emissions in emerging economies," Energy Economics, Elsevier, vol. 41(C), pages 147-153.
    55. Joseph Byrne & Giorgio Fazio & Davide Piacentino, 2005. "Convergence in TFP among Italian Regions - Panel Unit Roots with Heterogeneity and Cross Sectional Dependence," ERSA conference papers ersa05p591, European Regional Science Association.
    56. Manoel F. Meyer Bittencourt, 2006. "Financial Development and Inequality: Brazil 1985-99," Working Papers 26, ECINEQ, Society for the Study of Economic Inequality.
    57. Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2011. "Weak and strong cross‐section dependence and estimation of large panels," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 45-90, February.
    58. Perry Sadorsky, 2014. "The Effect of Urbanization and Industrialization on Energy Use in Emerging Economies: Implications for Sustainable Development," American Journal of Economics and Sociology, Wiley Blackwell, vol. 73(2), pages 392-409, April.
    59. Ignacio Lozano-Espitia & Juan Manuel Julio-Román, 2016. "Descentralización Fiscal y Crecimiento Económico: Evidencia Regional en Panel de Datos para Colombia," Borradores de Economia 14251, Banco de la Republica.
    60. Abebe Hailemariam & Ratbek Dzhumashev & Muhammad Shahbaz, 2020. "Carbon emissions, income inequality and economic development," Empirical Economics, Springer, vol. 59(3), pages 1139-1159, September.
    61. Danish & Recep Ulucak & Salah Ud‐Din Khan & Muhammad Awais Baloch & Nan Li, 2020. "Mitigation pathways toward sustainable development: Is there any trade‐off between environmental regulation and carbon emissions reduction?," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 813-822, July.
    62. Markus Eberhardt & Francis Teal, 2009. "Econometrics for Grumblers: A New Look at the Literature on Cross-Country Growth Empirics," CSAE Working Paper Series 2009-07, Centre for the Study of African Economies, University of Oxford.
    63. Gael FOKAM & Christelle MAPA & Mathurin ISSABE, 2021. "Energy intensity and industrialization in Cameroon," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 5(11), pages 57-67, November.
    64. Mantobaye Moundigbaye & William Rea & W. Robert Reed, 2016. "More Evidence On “Which Panel Data Estimator Should I Use?”," Working Papers in Economics 16/18, University of Canterbury, Department of Economics and Finance.
    65. Sam Jones, 2011. "Aid Supplies Over Time: Accounting for Heterogeneity, Trends and Dynamics," WIDER Working Paper Series wp-2011-004, World Institute for Development Economic Research (UNU-WIDER).
    66. Everaert, Gerdie, 2014. "A panel analysis of the fisher effect with an unobserved I(1) world real interest rate," Economic Modelling, Elsevier, vol. 41(C), pages 198-210.
    67. Katharina Hauck & Xiaohui Zhang, 2016. "Heterogeneity in the Effect of Common Shocks on Healthcare Expenditure Growth," Health Economics, John Wiley & Sons, Ltd., vol. 25(9), pages 1090-1103, September.
    68. Chandan Sharma, 2019. "Exchange rate volatility and exports from India: a commodity-level panel data analysis," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 12(1), pages 23-44, June.
    69. Panopoulou, Ekaterini & Pantelidis, Theologos, 2016. "The Fisher effect in the presence of time-varying coefficients," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 495-511.
    70. Giovanni Millo, 2016. "The Income Elasticity of Nonlife Insurance: A Reassessment," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(2), pages 335-362, June.
    71. Peñasco, Cristina & del Río, Pablo & Romero-Jordán, Desiderio, 2017. "Gas and electricity demand in Spanish manufacturing industries: An analysis using homogeneous and heterogeneous estimators," Utilities Policy, Elsevier, vol. 45(C), pages 45-60.
    72. Rulof P. Burger & Francis J. Teal, 2015. "The Effect of Schooling on Worker Productivity: Evidence from a South African Industry Panel," Journal of African Economies, Centre for the Study of African Economies, vol. 24(5), pages 629-644.
    73. Dong-Hyeon Kim & Shu-Chin Lin, 2017. "Natural Resources and Economic Development: New Panel Evidence," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 66(2), pages 363-391, February.
    74. Kim, Dong-Hyeon & Lin, Shu-Chin & Suen, Yu-Bo, 2016. "Trade, growth and growth volatility: New panel evidence," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 384-399.
    75. Duong, Nguyen Minh Huy, 2015. "An Investigation of the Determinants of US FDI in Developed Countries, 1982-2010," MPRA Paper 66518, University Library of Munich, Germany.
    76. Cooray, Arusha & Paradiso, Antonio & Truglia, Francesco Giovanni, 2013. "Do countries belonging to the same region suggest the same growth enhancing variables? Evidence from selected South Asian countries," Economic Modelling, Elsevier, vol. 33(C), pages 772-779.
    77. Markus Eberhardt, 2012. "Estimating panel time-series models with heterogeneous slopes," Stata Journal, StataCorp LP, vol. 12(1), pages 61-71, March.
    78. Nikos Benos & Stelios Karagiannis, 2018. "Inequality And Growth In The United States: Why Physical And Human Capital Matter," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 572-619, January.
    79. Bin Peng & Giovanni Forchini, 2014. "Consistent Estimation of Panel Data Models with a Multifactor Error Structure when the Cross Section Dimension is Large," Working Paper Series 20, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    80. Haroon Bhorat & Nan Tian & Mark Ellyne, 2014. "The Real Exchange Rate and Sectoral Employment in South Africa," Working Papers 201404, University of Cape Town, Development Policy Research Unit.
    81. Fotis, Panagiotis & Polemis, Michael, 2018. "The impact of market deregulation on milk price: A dynamic panel data approach," MPRA Paper 86542, University Library of Munich, Germany.
    82. António Afonso & João Tovar Jalles, 2011. "Linking Investment and Fiscal Policies," Working Papers Department of Economics 2011/16, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    83. Karavias, Yiannis & Spilioti, Stella & Tzavalis, Elias, 2016. "A comparison of investors’ sentiments and risk premium effects on valuing shares," Finance Research Letters, Elsevier, vol. 17(C), pages 1-6.
    84. Max Groneck & Christoph Kaufmann, 2014. "Relative Sectoral Prices and Population Ageing: A Common Trend," Working Paper Series in Economics 69, University of Cologne, Department of Economics.
    85. Di Iorio, Francesca & Fachin, Stefano, 2012. "A note on the estimation of long-run relationships in panel equations with cross-section linkages," Economics Discussion Papers 2012-1, Kiel Institute for the World Economy (IfW Kiel).
    86. Markus Eberhardt, 2011. "Panel time-series modeling: New tools for analyzing xt data," United Kingdom Stata Users' Group Meetings 2011 22, Stata Users Group.
    87. Ruge Leiva, Diego Ivan, 2015. "International R&D Spillovers and other Unobserved Common Spillovers and Shocks," MPRA Paper 63500, University Library of Munich, Germany.
    88. Goya, Daniel, 2020. "The exchange rate and export variety: A cross-country analysis with long panel estimators," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 649-665.
    89. Awad, Atif & Albaity, Mohamed, 2022. "ICT and economic growth in Sub-Saharan Africa: Transmission channels and effects," Telecommunications Policy, Elsevier, vol. 46(8).
    90. Francois, John Nana & Ahmad, Nazneen & Keinsley, Andrew & Nti-Addae, Akwasi, 2022. "Heterogeneity in the long-run remittance-output relationship: Theory and new evidence," Economic Modelling, Elsevier, vol. 110(C).
    91. Akinbode Damilola Olatunde & Ogunleye, Edward Oladipo, 2022. "Determinants of Environmental Pollution in Sub-Sahara Africa," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(3), pages 631-642, March.
    92. Ignacio Lozano-Espitia & Juan Manuel Julio-Román, 2015. "Descentralización Fiscal y Crecimiento Económico: Evidencia Regional en Panel de Datos para Colombia," Borradores de Economia 865, Banco de la Republica de Colombia.
    93. Sadorsky, Perry, 2013. "Do urbanization and industrialization affect energy intensity in developing countries?," Energy Economics, Elsevier, vol. 37(C), pages 52-59.
    94. Alfonso Arpaia & Kamil Dybczak & Fabiana Pierini, 2009. "Assessing the short-term impact of pension reforms on older workers' participation rates in the EU: a diff-in-diff approach," European Economy - Economic Papers 2008 - 2015 385, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    95. Romano Piras, 2017. "A long-run analysis of push and pull factors of internal migration in Italy. Estimation of a gravity model with human capital using homogeneous and heterogeneous approaches," Papers in Regional Science, Wiley Blackwell, vol. 96(3), pages 571-602, August.
    96. Eberhardt, Markus & Teal, Francis, 2009. "A Common Factor Approach to Spatial Heterogeneity in Agricultural Productivity Analysis," MPRA Paper 15810, University Library of Munich, Germany.
    97. Gerdie Everaert & Lorenzo Pozzi, 2010. "The Stickiness of Aggregate Consumption Growth in OECD Countries: A Panel Data Analysis," Tinbergen Institute Discussion Papers 10-049/2, Tinbergen Institute, revised 14 Oct 2011.
    98. António Afonso & João Tovar Jalles, 2012. "The Fiscal-Growth Nexus," Working Papers Department of Economics 2012/01, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    99. Millo, Giovanni, 2017. "A simple randomization test for spatial correlation in the presence of common factors and serial correlation," Regional Science and Urban Economics, Elsevier, vol. 66(C), pages 28-38.
    100. Jones, Sam, 2015. "Aid Supplies Over Time: Addressing Heterogeneity, Trends, and Dynamics," World Development, Elsevier, vol. 69(C), pages 31-43.
    101. Markus Eberhardt & Christian Helmers, 2010. "Untested Assumptions and Data Slicing: A Critical Review of Firm-Level Production Function Estimators," Economics Series Working Papers 513, University of Oxford, Department of Economics.
    102. Giovanni Forchini & Bin Peng, 2016. "A Conditional Approach to Panel Data Models with Common Shocks," Econometrics, MDPI, vol. 4(1), pages 1-12, January.
    103. Amany A. El Anshasy & Marina-Selini Katsaiti, 2018. "Is reducing energy intensity enough to put the oil-rich GCC states on a more sustainable environmental path?," Empirical Economics, Springer, vol. 55(3), pages 965-992, November.
    104. Markus Eberhardt & Dietrich Vollrath, 2014. "Agricultural Technology and Structural Change," CSAE Working Paper Series 2014-21, Centre for the Study of African Economies, University of Oxford.
    105. Delwar Hossain, 2014. "Differential Impacts of Foreign Capital and Remittance Inflows on Domestic Savings in the Developing Countries: A Dynamic Heterogeneous Panel Analysis," Departmental Working Papers 2014-07, The Australian National University, Arndt-Corden Department of Economics.

  13. Jerry Coakley & Ana-Maria Fuertes, 2002. "Exchange Rate Overshooting and the Forward Premium Puzzle," Computing in Economics and Finance 2002 145, Society for Computational Economics.

    Cited by:

    1. Byung‐Joo Lee, 2011. "Uncovered Interest Parity: Cross‐Sectional Evidence," Review of International Economics, Wiley Blackwell, vol. 19(2), pages 219-231, May.

  14. Jerry Coakley & Ana-Maria Fuertes & Ron Smith, 2002. "A Principal Components Approach to Cross-Section Dependence in Panels," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B5-3, International Conferences on Panel Data.

    Cited by:

    1. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2020. "Model uncertainty, nonlinearities and out-of-sample comparison: evidence from international technology diffusion," Working Papers hal-02790523, HAL.
    2. Pesaran, M. Hashem & Tosetti, Elisa, 2007. "Large Panels with Common Factors and Spatial Correlations," IZA Discussion Papers 3032, Institute of Labor Economics (IZA).
    3. Mitze, Timo & Makkonen, Teemu, 2023. "Can large-scale RDI funding stimulate post-crisis recovery growth? Evidence for Finland during COVID-19," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    4. Kapetanios, G. & Pesaran, M. Hashem & Yamagata, T., 2011. "Panels with non-stationary multifactor error structures," Journal of Econometrics, Elsevier, vol. 160(2), pages 326-348, February.
    5. Bhattacharjee, A. & Holly, S., 2010. "Structural Interactions in Spatial Panels," Cambridge Working Papers in Economics 1004, Faculty of Economics, University of Cambridge.
    6. Simone Bertoli & Jesús Fernández-HuertasMoraga, 2011. "Multilateral Resistance to Migration," Working Papers 2011-04, FEDEA.
    7. Qiu, Jin & Ma, Qing & Wu, Lang, 2019. "A moving blocks empirical likelihood method for panel linear fixed effects models with serial correlations and cross-sectional dependences," Economic Modelling, Elsevier, vol. 83(C), pages 394-405.
    8. Agnolucci, Paolo, 2009. "The energy demand in the British and German industrial sectors: Heterogeneity and common factors," Energy Economics, Elsevier, vol. 31(1), pages 175-187, January.
    9. Tolga Omay, 2014. "A Survey about Smooth Transition Panel Data Analysis," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 1(1), pages 18-29.
    10. Arnab Bhattacharjee & Sean Holly, 2013. "Understanding Interactions in Social Networks and Committees," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(1), pages 23-53, March.
    11. Carolina Castagnetti & Eduardo Rossi & Lorenzo Trapani, 2014. "A Two-Stage Estimator for Heterogeneous Panel Models with Common Factors," DEM Working Papers Series 066, University of Pavia, Department of Economics and Management.
    12. Moscone, F. & Tosetti, E., 2010. "Testing for error cross section independence with an application to US health expenditure," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 283-291, September.
    13. Alexander Chudik & M. Hashem Pesaran, 2013. "Large panel data models with cross-sectional dependence: a survey," Globalization Institute Working Papers 153, Federal Reserve Bank of Dallas.
    14. Bin Peng & Giovanni Forchini, 2012. "Consistent Estimation of Panel Data Models with a Multi-factor Error Structure," School of Economics Discussion Papers 0112, School of Economics, University of Surrey.
    15. Pauwels Laurent L. & Chan Felix & Mancini Griffoli Tommaso, 2012. "Testing for Structural Change in Heterogeneous Panels with an Application to the Euro's Trade Effect," Journal of Time Series Econometrics, De Gruyter, vol. 4(2), pages 1-35, November.
    16. Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2022. "Which are the long-run determinants of US outward FDI? Evidence using large long-memory panels," Working Papers 2022.08, International Network for Economic Research - INFER.
    17. Mitze, Timo & Naveed, Amjad & Ahmad, Nisar, 2016. "International, intersectoral, or unobservable? Measuring R&D spillovers under weak and strong cross-sectional dependence," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 259-272.
    18. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    19. Emmanuel Owusu-Sekyere & Francis M. Kemegue & Reneé van Eyden, 2011. "What drives remittance inflows to Sub-Saharan Africa: A Dynamic Panel Approach," Working Papers 262, Economic Research Southern Africa.
    20. Emmanuel Owusu-Sekyere & Renee van Eyden & Francis Kemegue, 2011. "Remittances And The Dutch Disease In Sub-Saharan Africa: A Dynamic Panel Approach," Working Papers 201129, University of Pretoria, Department of Economics.
    21. Coakley, Jerry & Fuertes, Ana-Maria & Smith, Ron, 2006. "Unobserved heterogeneity in panel time series models," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2361-2380, May.
    22. M. Hashem Pesaran, 2003. "Estimation and Inference in Large Heterogenous Panels with Cross Section Dependence," CESifo Working Paper Series 869, CESifo.
    23. George Kapetanios & M. Hashem Pesaran, 2005. "Alternative Approaches to Estimation and Inference in Large Multifactor Panels: Small Sample Results with an Application to Modelling of Asset Returns," Working Papers 536, Queen Mary University of London, School of Economics and Finance.
    24. Su, Liangjun & Jin, Sainan, 2012. "Sieve estimation of panel data models with cross section dependence," Journal of Econometrics, Elsevier, vol. 169(1), pages 34-47.
    25. Aizenman, Joshua & Noy, Ilan, 2006. "FDI and trade--Two-way linkages?," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(3), pages 317-337, July.
    26. Jesús Mur & Fernando López & Marcos Herrera, 2010. "Testing for Spatial Effects in Seemingly Unrelated Regressions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(4), pages 399-440.
    27. Félix Chan & Tommaso Mancini-Griffoli & Laurent L. Pauwels, 2006. "Stability tests for heterogeneous panel data," PSE Working Papers halshs-00589114, HAL.
    28. Tim Buyse & Freddy Heylen & Ruben Schoonackers, 2015. "On The Role Of Public Policies And Wage Formation For Private Investment In R&D: A Long-Run Panel Analysis," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 15/911, Ghent University, Faculty of Economics and Business Administration.
    29. Castagnetti, Carolina & Rossi, Eduardo, 2008. "Euro corporate bonds risk factors," MPRA Paper 13440, University Library of Munich, Germany.
    30. Castagnetti, Carolina & Rossi, Eduardo, 2008. "Estimation methods in panel data models with observed and unobserved components: a Monte Carlo study," MPRA Paper 26196, University Library of Munich, Germany.
    31. T. De Groote & G. Everaert, 2011. "Common Correlated Effects Estimation of Dynamic Panels with Cross-Sectional Dependence," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/723, Ghent University, Faculty of Economics and Business Administration.
    32. Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2011. "Weak and strong cross‐section dependence and estimation of large panels," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 45-90, February.
    33. Guglielmo Maria Caporale & Mario Cerrato, 2004. "Panel Data Tests Of Ppp: A Critical Overview," Economics and Finance Discussion Papers 04-18, Economics and Finance Section, School of Social Sciences, Brunel University.
    34. George Kapetanios & Nora Neuteboom & Feiko Ritsema & Alexia Ventouri, 2022. "How did consumers react to the COVID‐19 pandemic over time?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(5), pages 961-993, October.
    35. Sarafidis, Vasilis & Wansbeek, Tom, 2010. "Cross-sectional Dependence in Panel Data Analysis," MPRA Paper 20367, University Library of Munich, Germany.
    36. Xiao Huang, 2013. "Nonparametric Estimation in Large Panels with Cross-Sectional Dependence," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 754-777, August.
    37. J. B. Qian, 2016. "Estimation of Panel Model with Spatial Autoregressive Error and Common Factors," Computational Economics, Springer;Society for Computational Economics, vol. 47(3), pages 367-399, March.
    38. Ignace De Vos & Gerdie Everaert & Ilse Ruyssen, 2015. "Bootstrap-Based Bias Correction And Inference For Dynamic Panels With Fixed Effects," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 15/906, Ghent University, Faculty of Economics and Business Administration.
    39. Sarafidis, Vasilis, 2009. "GMM Estimation of Short Dynamic Panel Data Models With Error Cross-Sectional Dependence," MPRA Paper 25176, University Library of Munich, Germany.
    40. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2020. "Model uncertainty, nonlinearities and out-of-sample comparison: evidence from international technology diffusion," SEEDS Working Papers 0120, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jan 2020.
    41. Jushan Bai & Chihwa Kao, 2005. "On the Estimation and Inference of a Panel Cointegration Model with Cross-Sectional Dependence," Center for Policy Research Working Papers 75, Center for Policy Research, Maxwell School, Syracuse University.
    42. Simona Andreea Apostu & Valentina Vasile & Erika Marin & Elena Bunduchi, 2022. "Factors Influencing Physicians Migration—A Case Study from Romania," Mathematics, MDPI, vol. 10(3), pages 1-24, February.
    43. Westerlund, Joakim & Urbain, Jean-Pierre, 2013. "On the estimation and inference in factor-augmented panel regressions with correlated loadings," Economics Letters, Elsevier, vol. 119(3), pages 247-250.
    44. Gerdie Everaert & Lorenzo Pozzi, 2010. "The Stickiness of Aggregate Consumption Growth in OECD Countries: A Panel Data Analysis," Tinbergen Institute Discussion Papers 10-049/2, Tinbergen Institute, revised 14 Oct 2011.
    45. Giovanni Forchini & Bin Peng, 2016. "A Conditional Approach to Panel Data Models with Common Shocks," Econometrics, MDPI, vol. 4(1), pages 1-12, January.
    46. Westerlund, J. & Urbain, J.R.Y.J., 2011. "Cross sectional averages or principal components?," Research Memorandum 053, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    47. Coakley, Jerry & Flood, Robert P. & Fuertes, Ana M. & Taylor, Mark P., 2005. "Purchasing power parity and the theory of general relativity: the first tests," Journal of International Money and Finance, Elsevier, vol. 24(2), pages 293-316, March.
    48. Ashwini Deshpande & Thomas E. Weisskopf, 2010. "Does Affirmative Action Affect Productivity In The Indian Railways?," Working papers 185, Centre for Development Economics, Delhi School of Economics.
    49. Bada, Oualid & Kneip, Alois, 2014. "Parameter cascading for panel models with unknown number of unobserved factors: An application to the credit spread puzzle," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 95-115.

  15. Jerry Coakley, Ana-Maria Fuertes, Ron Smith, 2001. "Small sample properties of panel time-series estimators with I(1) errors," Computing in Economics and Finance 2001 191, Society for Computational Economics.

    Cited by:

    1. Martin Iseringhausen & Hauke Vierke, 2018. "What Drives Output Volatility? The Role of Demographics and Government Size Revisited," European Economy - Discussion Papers 075, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    2. Helmut Herwartz & Fang Xu, 2009. "Panel data model comparison for empirical saving-investment relations," Applied Economics Letters, Taylor & Francis Journals, vol. 16(8), pages 803-807.
    3. Österholm, Pär, 2004. "Estimating the Relationship between Age Structure and GDP in the OECD Using Panel Cointegration Methods," Working Paper Series 2004:13, Uppsala University, Department of Economics.
    4. Angela Luci-Greulich & Olivier Thévenon, 2013. "The Impact of Family Policies on Fertility Trends in Developed Countries," European Journal of Population, Springer;European Association for Population Studies, vol. 29(4), pages 387-416, November.
    5. Peter Fuleky & Luigi Ventura & Qianxue Zhao, 2016. "Common Correlated Effects and International Risk Sharing," Working Papers 201612, University of Hawaii at Manoa, Department of Economics.
    6. Rapach, David E. & Wohar, Mark E., 2004. "Testing the monetary model of exchange rate determination: a closer look at panels," Journal of International Money and Finance, Elsevier, vol. 23(6), pages 867-895, October.
    7. T. D. Stanley, 2004. "Does unemployment hysteresis falsify the natural rate hypothesis? a meta‐regression analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 18(4), pages 589-612, September.
    8. Rocha, Fabiana, 2005. "Heterogeneity, cross section dependence and capital mobility in developing countries," Economics Letters, Elsevier, vol. 89(1), pages 18-23, October.
    9. Noman, Abdullah, 2008. "Testing for PPP in the Mean-Group Panel Regression Framework: Further Evidence," MPRA Paper 7825, University Library of Munich, Germany.
    10. James Smith, 2008. "That elusive elasticity and the ubiquitous bias: is panel data a panacea?," Bank of England working papers 342, Bank of England.
    11. Francis Teal & Markus Eberhardt, 2010. "Productivity Analysis in Global Manufacturing Production," Economics Series Working Papers 515, University of Oxford, Department of Economics.
    12. Andrew Wood & Jerry Coakley & Ana-Maria Fuertes, 2003. "A New Interpretation of the Exchange Rate - Yield Differential Nexus," Computing in Economics and Finance 2003 160, Society for Computational Economics.
    13. Erdal Ozmen, 2007. "Financial development, exchange rate regimes and the Feldstein-Horioka puzzle: evidence from the MENA region," Applied Economics, Taylor & Francis Journals, vol. 39(9), pages 1133-1138.
    14. Smith, James, 2008. "That elusive elasticity and the ubiquitous bias: Is panel data a panacea?," Journal of Macroeconomics, Elsevier, vol. 30(2), pages 760-779, June.
    15. Jerry Coakley & Stuart Snaith, 2004. "Testing for Long Run Relative PPP in Europe," Money Macro and Finance (MMF) Research Group Conference 2004 34, Money Macro and Finance Research Group.
    16. Chan, Kenneth S. & Dang, Vinh Q.T. & Lai, Jennifer T., 2018. "Capital market integration in ASEAN: A non-stationary panel data analysis," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 249-260.
    17. Hartmann, Matthias & Roestel, Jan, 2013. "Inflation, output and uncertainty in the era of inflation targeting – A multi-economy view on causal linkages," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 98-112.
    18. Markus Eberhardt & Francis Teal, 2009. "Econometrics for Grumblers: A New Look at the Literature on Cross-Country Growth Empirics," CSAE Working Paper Series 2009-07, Centre for the Study of African Economies, University of Oxford.
    19. Ana Barreira & Rui Nuno Baleiras, 2000. "Cycles On Public Expenditure Composition Within the European Union," Regional and Urban Modeling 283600004, EcoMod.
    20. Kumar, Saten & Rao, B. Bhaskara, 2009. "A Time Series Approach to the Feldstein-Horioka Puzzle with Panel Data from the OECD Countries," MPRA Paper 18464, University Library of Munich, Germany.
    21. Kumar, Saten, 2015. "Regional integration, capital mobility and financial intermediation revisited: Application of general to specific method in panel data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 1-17.
    22. Jerry Coakley & Ana-Maria Fuertes & Ron Smith, 2002. "A Principal Components Approach to Cross-Section Dependence in Panels," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B5-3, International Conferences on Panel Data.
    23. Jerry Coakley & Ana-Maria Fuertes & Fabio Spagnolo, 2004. "The Feldstein-Horioka puzzle is not as bad as you think," Money Macro and Finance (MMF) Research Group Conference 2003 17, Money Macro and Finance Research Group.
    24. Joseph F. Francois & Julia Wörz, 2011. "Shifts in International Trade and Value Added from 1995 to 2007: Insights into the Drivers of Growth," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 37-56.
    25. Fabiana Rocha, 2009. "Heterogeneity, saving-investment dynamics and capital mobility in Latin America," Empirical Economics, Springer, vol. 36(3), pages 611-619, June.

  16. Jerry Coakley; Ana-Maria Fuertes, 2001. "Bootstrap LR Tests for Sign and Amplitude Asymmetries," Computing in Economics and Finance 2001 262, Society for Computational Economics.

    Cited by:

  17. Zoega, Gylfi & Coakley, Jerry & Fuertes, Ana-Maria, 2000. "Evaluating The Persistence And Structuralist Theories Of Unemployment," CEPR Discussion Papers 2438, C.E.P.R. Discussion Papers.

    Cited by:

    1. Marika Karanassou & Hector Sala & Dennis J. Snower, 2010. "Phillips Curves And Unemployment Dynamics: A Critique And A Holistic Perspective," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 1-51, February.
    2. Neugart, Michael, 2004. "Complicated dynamics in a flow model of the labor market," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57292, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Ron Smith & Gylfi Zoega, 2004. "Global Shocks and Unemployment Adjustment," DEGIT Conference Papers c009_003, DEGIT, Dynamics, Economic Growth, and International Trade.
    4. Spyros Andreopoulos, 2006. "The real interest rate, the real oil price, and US unemployment revisited," Bristol Economics Discussion Papers 06/592, School of Economics, University of Bristol, UK.

Articles

  1. Ana‐Maria Fuertes & Zhenya Liu & Weiqing Tang, 2022. "Risk‐neutral skewness and commodity futures pricing," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(4), pages 751-785, April.

    Cited by:

    1. Silvia Bressan & Alex Weissensteiner, 2023. "Option-Implied Skewness and the Value of Financial Intermediaries," Journal of Financial Services Research, Springer;Western Finance Association, vol. 64(2), pages 207-229, October.

  2. Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Miffre, Joelle, 2021. "The risk premia of energy futures," Energy Economics, Elsevier, vol. 102(C).
    See citations under working paper version above.
  3. Fuertes, Ana-Maria & Robles, Maria-Dolores, 2021. "Bank credit risk events and peers' equity value," International Review of Financial Analysis, Elsevier, vol. 75(C).
    See citations under working paper version above.
  4. Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Gonzalez-Fernandez, Marcos & Miffre, Joelle, 2020. "Fear of hazards in commodity futures markets," Journal of Banking & Finance, Elsevier, vol. 119(C).
    See citations under working paper version above.
  5. John Hua Fan & Adrian Fernandez‐Perez & Ana‐Maria Fuertes & Joëlle Miffre, 2020. "Speculative pressure," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(4), pages 575-597, April.
    See citations under working paper version above.
  6. Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Miffre, Joëlle, 2019. "A comprehensive appraisal of style-integration methods," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 134-150.

    Cited by:

    1. Kim, Saejoon, 2021. "Enhanced factor investing in the Korean stock market," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    2. Bianchi, Robert J. & Fan, John Hua & Zhang, Tingxi, 2021. "Investable commodity premia in China," Journal of Banking & Finance, Elsevier, vol. 127(C).
    3. Auer, Benjamin R. & Schuhmacher, Frank & Niemann, Sebastian, 2023. "Cloning mutual fund returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 31-37.
    4. Adrian Fernandez-Perez & Ana-Maria Fuertes & Joelle Miffre, 2021. "The Risk Premia of Energy Futures," Post-Print hal-03312959, HAL.
    5. Hossein Rad & Rand Kwong Yew Low & Joelle Miffre & Robert Faff, 2022. "The Strategic Allocation to Style-Integrated Portfolios of Commodity Futures," Post-Print hal-03881976, HAL.
    6. Fuertes, Ana-Maria & Zhao, Nan, 2023. "A Bayesian perspective on commodity style integration," Journal of Commodity Markets, Elsevier, vol. 30(C).
    7. Fuertes, Ana-Maria & Zhao, Nan, 2022. "A Bayesian Perspective on Commodity Style Integration," MPRA Paper 117831, University Library of Munich, Germany, revised 2023.
    8. Stadtmüller, Immo & Auer, Benjamin R. & Schuhmacher, Frank, 2022. "On the benefits of active stock selection strategies for diversified investors," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 342-354.
    9. Pu, Yingjian & Yang, Baochen, 2022. "The commodity futures' historical basis in trading strategy and portfolio investment," Energy Economics, Elsevier, vol. 105(C).
    10. Fan, John Hua & Qiao, Xiao, 2023. "Commodity momentum: A tale of countries and sectors," Journal of Commodity Markets, Elsevier, vol. 29(C).
    11. Sakkas, Athanasios & Tessaromatis, Nikolaos, 2020. "Factor based commodity investing," Journal of Banking & Finance, Elsevier, vol. 115(C).
    12. Lauter, Tobias & Prokopczuk, Marcel, 2022. "Measuring commodity market quality," Journal of Banking & Finance, Elsevier, vol. 145(C).

  7. Fernandez-Perez, Adrian & Frijns, Bart & Fuertes, Ana-Maria & Miffre, Joelle, 2018. "The skewness of commodity futures returns," Journal of Banking & Finance, Elsevier, vol. 86(C), pages 143-158.
    See citations under working paper version above.
  8. Audzeyeva, Alena & Fuertes, Ana-Maria, 2018. "On the predictability of emerging market sovereign credit spreads," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 140-157.

    Cited by:

    1. Gary S. Anderson & Alena Audzeyeva, 2019. "A Coherent Framework for Predicting Emerging Market Credit Spreads with Support Vector Regression," Finance and Economics Discussion Series 2019-074, Board of Governors of the Federal Reserve System (U.S.).
    2. Fuertes, Ana-Maria & Robles, Maria-Dolores, 2021. "Bank credit risk events and peers' equity value," International Review of Financial Analysis, Elsevier, vol. 75(C).
    3. Albert K. Tsui & Junxiang Wu & Zhaoyong Zhang & Zhongxi Zheng, 2023. "Forecasting term structure of the Japanese bond yields in the presence of a liquidity trap," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1205-1227, August.

  9. Fei, Fei & Fuertes, Ana-Maria & Kalotychou, Elena, 2017. "Dependence in credit default swap and equity markets: Dynamic copula with Markov-switching," International Journal of Forecasting, Elsevier, vol. 33(3), pages 662-678.

    Cited by:

    1. Woraphon Yamaka & Paravee Maneejuk, 2020. "Analyzing the Causality and Dependence between Gold Shocks and Asian Emerging Stock Markets: A Smooth Transition Copula Approach," Mathematics, MDPI, vol. 8(1), pages 1-27, January.
    2. Selmi, Refk & Bouoiyour, Jamal & Miftah, Amal & Wohar, Mark E., 2021. "Managing exposure to volatile oil prices: Evidence from U.S. sectoral and industry-level data," Resources Policy, Elsevier, vol. 73(C).
    3. Alin Marius Andries & Steven Ongena & Nicu Sprincean & Radu Tunaru, 2020. "Risk Spillovers and Interconnectedness between Systemically Important Institutions," Swiss Finance Institute Research Paper Series 20-40, Swiss Finance Institute.
    4. Liu, Xiang-dong & Pan, Fei & Cai, Wen-li & Peng, Rui, 2020. "Correlation and risk measurement modeling: A Markov-switching mixed Clayton copula approach," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    5. Paula V. Tofoli & Flavio A. Ziegelmann & Osvaldo Candido, 2017. "A Comparison Study of Copula Models for Europea Financial Index Returns," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(10), pages 155-178, October.
    6. Syed Jawad Hussain Shahzad & Elie Bouri & Jose Arreola-Hernandez & David Roubaud & Stelios Bekiros, 2019. "Spillover across Eurozone credit market sectors and determinants," Applied Economics, Taylor & Francis Journals, vol. 51(59), pages 6333-6349, December.
    7. Benlagha, Noureddine, 2020. "Stock market dependence in crisis periods: Evidence from oil price shocks and the Qatar blockade," Research in International Business and Finance, Elsevier, vol. 54(C).
    8. Guoxiang Xu & Wangfeng Gao, 2019. "Financial Risk Contagion in Stock Markets: Causality and Measurement Aspects," Sustainability, MDPI, vol. 11(5), pages 1-20, March.
    9. Selmi, Refk & Hammoudeh, Shawkat & Kasmaoui, Kamal & Sousa, Ricardo M. & Errami, Youssef, 2022. "The dual shocks of the COVID-19 and the oil price collapse: A spark or a setback for the circular economy?," Energy Economics, Elsevier, vol. 109(C).
    10. Saker Sabkha & Christian Peretti & Dorra Hmaied, 2019. "On the informational market efficiency of the worldwide sovereign credit default swaps," Journal of Asset Management, Palgrave Macmillan, vol. 20(7), pages 581-608, December.
    11. R. Rajesh, 2023. "Grey Markov Models for Predicting the Social Sustainability Performances of Firms," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 168(1), pages 297-351, August.
    12. Shoukun Jiao & Wuyi Ye, 2022. "Dependence and Systemic Risk Analysis Between S&P 500 Index and Sector Indexes: A Conditional Value-at-Risk Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1203-1229, March.
    13. Alola, Andrew Adewale & Özkan, Oktay & Obekpa, Hephzibah Onyeje, 2023. "Examining the patterns of disaggregate energy security risk and crude oil price: the USA scenario over 1970–2040," Resources Policy, Elsevier, vol. 82(C).
    14. Lolea Iulian Cornel & Stamule Simona, 2021. "Trading using Hidden Markov Models during COVID-19 turbulences," Management & Marketing, Sciendo, vol. 16(4), pages 334-351, December.
    15. Li, Haiping & Semeyutin, Artur & Lau, Chi Keung Marco & Gozgor, Giray, 2020. "The relationship between oil and financial markets in emerging economies: The significant role of Kazakhstan as the oil exporting country," Finance Research Letters, Elsevier, vol. 32(C).
    16. Selmi, Refk & Wohar, Mark & Deisting, Florent & Kasmaoui, Kamal, 2023. "Dynamic inflation hedging performance and downside risk: A comparison between Islamic and conventional stock indices," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 56-67.

  10. Adrian Fernandez-Perez & Ana-Maria Fuertes & Joelle Miffre, 2017. "Commodity Markets, Long-Run Predictability, and Intertemporal Pricing," Review of Finance, European Finance Association, vol. 21(3), pages 1159-1188.

    Cited by:

    1. Baur, Dirk G. & Smales, Lee A., 2020. "Hedging geopolitical risk with precious metals," Journal of Banking & Finance, Elsevier, vol. 117(C).
    2. Zaremba, Adam & Bianchi, Robert J. & Mikutowski, Mateusz, 2021. "Long-run reversal in commodity returns: Insights from seven centuries of evidence," Journal of Banking & Finance, Elsevier, vol. 133(C).
    3. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2021. "Commodity futures returns and policy uncertainty," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 364-383.
    4. John Cotter & Emmanuel Eyiah-Donkor & Valerio Potì, 2020. "Commodity Futures Return Predictability and Intertemporal Asset Pricing," Working Papers 202011, Geary Institute, University College Dublin.
    5. Bianchi, Robert J. & Fan, John Hua & Zhang, Tingxi, 2021. "Investable commodity premia in China," Journal of Banking & Finance, Elsevier, vol. 127(C).
    6. Adrian Fernandez-Perez & Ana-Maria Fuertes & Joelle Miffre, 2021. "The Risk Premia of Energy Futures," Post-Print hal-03312959, HAL.
    7. Nguyen, Duc Khuong & Sensoy, Ahmet & Sousa, Ricardo M. & Salah Uddin, Gazi, 2020. "U.S. equity and commodity futures markets: Hedging or financialization?," Energy Economics, Elsevier, vol. 86(C).
    8. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2022. "Economic importance of correlations for energy and other commodities," Energy Economics, Elsevier, vol. 107(C).
    9. Umar, Zaghum & Gubareva, Mariya & Teplova, Tamara, 2021. "The impact of Covid-19 on commodity markets volatility: Analyzing time-frequency relations between commodity prices and coronavirus panic levels," Resources Policy, Elsevier, vol. 73(C).

  11. Osborne, Matthew & Fuertes, Ana-Maria & Milne, Alistair, 2017. "In good times and in bad: Bank capital ratios and lending rates," International Review of Financial Analysis, Elsevier, vol. 51(C), pages 102-112.

    Cited by:

    1. Mutarindwa, Samuel & Schäfer, Dorothea & Stephan, Andreas, 2020. "The impact of liquidity and capital requirements on lending and stability of African banks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 67(C).
    2. Douglas da Rosa München & Herbert Kimura, 2020. "Regulatory Banking Leverage: what do you know?," Working Papers Series 540, Central Bank of Brazil, Research Department.
    3. Concepción de la Fuente-Cabrero & Mónica de Castro-Pardo & Rosa Santero-Sánchez & Pilar Laguna-Sánchez, 2019. "The Role of Mutual Guarantee Institutions in the Financial Sustainability of New Family-Owned Small Businesses," Sustainability, MDPI, vol. 11(22), pages 1-15, November.
    4. Neryvia Pillay & Konstantin Makrelov, 2024. "The lending implications of banks holding excess capital," Working Papers 11056, South African Reserve Bank.
    5. Kasim Ahmed & Giovanni Calice, 2023. "The effects of supervisory stress testing on bank lending: examining large UK banks," Journal of Banking Regulation, Palgrave Macmillan, vol. 24(2), pages 228-247, June.
    6. Sclip, Alex & Girardone, Claudia & Beltrame, Federico & Paltrinieri, Andrea, 2021. "Bank risks and lending outcomes: Evidence from QE," Journal of International Money and Finance, Elsevier, vol. 118(C).
    7. Papadopoulos, Georgios, 2020. "Probing the mechanism: lending rate setting in a data-driven agent-based model," MPRA Paper 102749, University Library of Munich, Germany.

  12. Raphael Brun-Aguerre & Ana-Maria Fuertes & Matthew Greenwood-Nimmo, 2017. "Heads I win; tails you lose: asymmetry in exchange rate pass-through into import prices," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 587-612, February.
    See citations under working paper version above.
  13. Andrada-Félix, Julián & Fernández-Rodríguez, Fernando & Fuertes, Ana-Maria, 2016. "Combining nearest neighbor predictions and model-based predictions of realized variance: Does it pay?," International Journal of Forecasting, Elsevier, vol. 32(3), pages 695-715.

    Cited by:

    1. Degiannakis, Stavros & Filis, George, 2017. "Forecasting oil price realized volatility using information channels from other asset classes," MPRA Paper 96276, University Library of Munich, Germany.
    2. Delis, Panagiotis & Degiannakis, Stavros & Giannopoulos, Kostantinos, 2021. "What should be taken into consideration when forecasting oil implied volatility index?," MPRA Paper 110831, University Library of Munich, Germany.
    3. Markus Vogl, 2022. "Quantitative modelling frontiers: a literature review on the evolution in financial and risk modelling after the financial crisis (2008–2019)," SN Business & Economics, Springer, vol. 2(12), pages 1-69, December.

  14. Fuertes, Ana-Maria & Phylaktis, Kate & Yan, Cheng, 2016. "Hot money in bank credit flows to emerging markets during the banking globalization era," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 29-52.

    Cited by:

    1. Hardik A. Marfatia, 2016. "The Role of Push and Pull Factors in Driving Global Capital Flows," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot GmbH, Berlin, vol. 62(2), pages 117-146.
    2. Wang, Xichen & Yan, Ji (Karena) & Yan, Cheng & Gozgor, Giray, 2021. "Emerging stock market exuberance and international short-term flows," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    3. Cheng Yan, 2018. "Hot money in disaggregated capital flows," The European Journal of Finance, Taylor & Francis Journals, vol. 24(14), pages 1190-1223, September.
    4. Tang, Chun & Liu, Xiaoxing & Zhou, Donghai, 2022. "Financial market resilience and financial development: A global perspective," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    5. Zhang, Yihao & Chen, Fang & Huang, Jian & Shenoy, Catherine, 2019. "Hot money flows and production uncertainty: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    6. Shi, Yukun & Stasinakis, Charalampos & Xu, Yaofei & Yan, Cheng, 2022. "Market co-movement between credit default swap curves and option volatility surfaces," International Review of Financial Analysis, Elsevier, vol. 82(C).
    7. Zhang, Jinhua & Wang, Guipu & Yan, Cheng, 2020. "Can foreign equity funds outperform their benchmarks? New evidence from fund-holding data for China," Economic Modelling, Elsevier, vol. 90(C), pages 11-20.
    8. Fang, Jianchun & Gozgor, Giray & Lau, Chi-Keung Marco & Wu, Wanshan & Yan, Cheng, 2020. "Listed zombie firms and top executive gender: Evidence from an emerging market," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    9. Xichen Wang & Cheng Yan, 2022. "Does the Relative Importance of the Push and Pull Factors of Foreign Capital Flows Vary Across Quantiles?," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 70(2), pages 252-299, June.
    10. Yan, Cheng & Phylaktis, Kate & Fuertes, Ana-Maria, 2016. "On cross-border bank credit and the U.S. financial crisis transmission to equity markets," Journal of International Money and Finance, Elsevier, vol. 69(C), pages 108-134.
    11. Wira Ganet Aribowo, 2018. "Analysis of foreign direct investment as a comparison of macroeconomic factors in seven countries Asean 5, China and Japan during period 1996-2015," Journal of Economic Development, Environment and People, Alliance of Central-Eastern European Universities, vol. 7(4), pages 29-42, December.
    12. Yan, Cheng & Wang, Xichen, 2018. "The non-persistent relationship between foreign equity flows and emerging stock market returns across quantiles," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 38-54.

  15. Yan, Cheng & Phylaktis, Kate & Fuertes, Ana-Maria, 2016. "On cross-border bank credit and the U.S. financial crisis transmission to equity markets," Journal of International Money and Finance, Elsevier, vol. 69(C), pages 108-134.

    Cited by:

    1. Wang, Xichen & Yan, Ji (Karena) & Yan, Cheng & Gozgor, Giray, 2021. "Emerging stock market exuberance and international short-term flows," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    2. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2017. "The kidnapping of Europe: High-order moments' transmission between developed and emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 96-115.
    3. Arribas, Iván & Peiró-Palomino, Jesús & Tortosa-Ausina, Emili, 2020. "Is full banking integration desirable?," Journal of Banking & Finance, Elsevier, vol. 112(C).
    4. Zhang, Jinhua & Wang, Guipu & Yan, Cheng, 2020. "Can foreign equity funds outperform their benchmarks? New evidence from fund-holding data for China," Economic Modelling, Elsevier, vol. 90(C), pages 11-20.
    5. Jiang, Hai & Tang, Shenfeng & Li, Lifang & Xu, Fangming & Di, Qian, 2022. "Re-examining the Contagion Channels of Global Financial Crises: Evidence from the Twelve Years since the US Subprime Crisis," Research in International Business and Finance, Elsevier, vol. 60(C).
    6. Fang, Jianchun & Gozgor, Giray & Lau, Chi-Keung Marco & Wu, Wanshan & Yan, Cheng, 2020. "Listed zombie firms and top executive gender: Evidence from an emerging market," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    7. Miriam Sosa & Edgar Ortiz & Alejandra Cabello, 2019. "International Financial US Linkages: Networks Theory and MS-VAR Analyses," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(PNEA), pages 459-584, Agosto 20.
    8. Bathia, Deven & Bouras, Christos & Demirer, Riza & Gupta, Rangan, 2020. "Cross-border capital flows and return dynamics in emerging stock markets: Relative roles of equity and debt flows," Journal of International Money and Finance, Elsevier, vol. 109(C).

  16. Ana-Maria Fuertes & Jose Olmo, 2016. "On Setting Day-Ahead Equity Trading Risk Limits: VaR Prediction at Market Close or Open?," JRFM, MDPI, vol. 9(3), pages 1-20, September.

    Cited by:

    1. Jayawardena, Nirodha I. & Todorova, Neda & Li, Bin & Su, Jen-Je, 2020. "Volatility forecasting using related markets’ information for the Tokyo stock exchange," Economic Modelling, Elsevier, vol. 90(C), pages 143-158.
    2. Antonio Díaz & Gonzalo García-Donato & Andrés Mora-Valencia, 2019. "Quantifying Risk in Traditional Energy and Sustainable Investments," Sustainability, MDPI, vol. 11(3), pages 1-22, January.

  17. Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Miffre, Joëlle, 2016. "Is idiosyncratic volatility priced in commodity futures markets?," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 219-226.

    Cited by:

    1. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2019. "Time-varying energy and stock market integration in Asia," Energy Economics, Elsevier, vol. 80(C), pages 777-792.
    2. Zaremba, Adam & Long, Huaigang & Karathanasopoulos, Andreas, 2019. "Short-term momentum (almost) everywhere," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
    3. Roy, Preeti & Ahmad, Wasim & Sadorsky, Perry & Phani, B.V., 2022. "What do we know about the idiosyncratic risk of clean energy equities?," Energy Economics, Elsevier, vol. 112(C).
    4. Simone Bernardi & Markus Leippold & Harald Lohre, 2018. "Maximum diversification strategies along commodity risk factors," European Financial Management, European Financial Management Association, vol. 24(1), pages 53-78, January.
    5. Lübbers, Johannes & Posch, Peter N., 2016. "Commodities' common factor: An empirical assessment of the markets' drivers," Journal of Commodity Markets, Elsevier, vol. 4(1), pages 28-40.
    6. Zaremba, Adam & Mikutowski, Mateusz & Karathanasopoulos, Andreas & Osman, Mohamed, 2019. "Picking winners to pick your winners: The momentum effect in commodity risk factors," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    7. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2017. "Can stock market investors hedge energy risk? Evidence from Asia," Energy Economics, Elsevier, vol. 66(C), pages 559-570.
    8. Prokopczuk, Marcel & Symeonidis, Lazaros & Wese Simen, Chardin & Wichmann, Robert, 2023. "Convenience yield risk," Energy Economics, Elsevier, vol. 120(C).
    9. Zaremba, Adam & Mikutowski, Mateusz & Szczygielski, Jan Jakub & Karathanasopoulos, Andreas, 2021. "The alpha momentum effect in commodity markets," Energy Economics, Elsevier, vol. 93(C).
    10. Proelss, Juliane & Schweizer, Denis & Seiler, Volker, 2020. "The economic importance of rare earth elements volatility forecasts," International Review of Financial Analysis, Elsevier, vol. 71(C).
    11. Ana‐Maria Fuertes & Zhenya Liu & Weiqing Tang, 2022. "Risk‐neutral skewness and commodity futures pricing," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(4), pages 751-785, April.
    12. Zhang, Yue-Jun & Lin, Jia-Juan, 2019. "Can the VAR model outperform MRS model for asset allocation in commodity market under different risk preferences of investors?," International Review of Financial Analysis, Elsevier, vol. 66(C).

  18. Katja Ahoniemi & Ana-Maria Fuertes & Jose Olmo, 2016. "Overnight News and Daily Equity Trading Risk Limits," Journal of Financial Econometrics, Oxford University Press, vol. 14(3), pages 525-551.

    Cited by:

    1. Barbara Będowska-Sójka, 2018. "Is intraday data useful for forecasting VaR? The evidence from EUR/PLN exchange rate," Risk Management, Palgrave Macmillan, vol. 20(4), pages 326-346, November.
    2. Chun, Dohyun & Cho, Hoon & Ryu, Doojin, 2023. "Discovering the drivers of stock market volatility in a data-rich world," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 82(C).
    3. Dohyun Chun & Donggyu Kim, 2021. "State Heterogeneity Analysis of Financial Volatility Using High-Frequency Financial Data," Papers 2102.13404, arXiv.org.
    4. Dohyun Chun & Donggyu Kim, 2022. "State Heterogeneity Analysis of Financial Volatility using high‐frequency Financial Data," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(1), pages 105-124, January.
    5. Jayawardena, Nirodha I. & Todorova, Neda & Li, Bin & Su, Jen-Je, 2020. "Volatility forecasting using related markets’ information for the Tokyo stock exchange," Economic Modelling, Elsevier, vol. 90(C), pages 143-158.

  19. Saka, Orkun & Fuertes, Ana-Maria & Kalotychou, Elena, 2015. "ECB policy and Eurozone fragility: Was De Grauwe right?," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 168-185.
    See citations under working paper version above.
  20. Ana-Maria Fuertes & Elena Kalotychou & Natasa Todorovic, 2015. "Daily volume, intraday and overnight returns for volatility prediction: profitability or accuracy?," Review of Quantitative Finance and Accounting, Springer, vol. 45(2), pages 251-278, August.

    Cited by:

    1. Laurence E. Blose & Vijay Gondhalekar & Alan Kort, 2018. "Overnight versus day returns in gold and gold related assets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(3), pages 526-549, July.
    2. Ding, Hui & Huang, Yisu & Wang, Jiqian, 2023. "Have the predictability of oil changed during the COVID-19 pandemic: Evidence from international stock markets," International Review of Financial Analysis, Elsevier, vol. 87(C).
    3. Linton, O. & Wu, J., 2016. "A coupled component GARCH model for intraday and overnight volatility," Cambridge Working Papers in Economics 1671, Faculty of Economics, University of Cambridge.
    4. Salma Khand & Vivake Anand & Mohammad Nadeem Qureshi, 2020. "The Predictability and Profitability of Simple Moving Averages and Trading Range Breakout Rules in the Pakistan Stock Market," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 23(01), pages 1-38, March.
    5. Gavriilidis, Konstantinos & Kambouroudis, Dimos S. & Tsakou, Katerina & Tsouknidis, Dimitris A., 2018. "Volatility forecasting across tanker freight rates: The role of oil price shocks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 376-391.
    6. Ying Jiang & Shamim Ahmed & Xiaoquan Liu, 2017. "Volatility forecasting in the Chinese commodity futures market with intraday data," Review of Quantitative Finance and Accounting, Springer, vol. 48(4), pages 1123-1173, May.
    7. Liu, Min & Taylor, James W. & Choo, Wei-Chong, 2020. "Further empirical evidence on the forecasting of volatility with smooth transition exponential smoothing," Economic Modelling, Elsevier, vol. 93(C), pages 651-659.
    8. Fredj Jawadi & Waël Louhichi & Abdoulkarim Idi Cheffou & Rivo Randrianarivony, 2016. "Intraday jumps and trading volume: a nonlinear Tobit specification," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1167-1186, November.
    9. Jayawardena, Nirodha I. & Todorova, Neda & Li, Bin & Su, Jen-Je, 2020. "Volatility forecasting using related markets’ information for the Tokyo stock exchange," Economic Modelling, Elsevier, vol. 90(C), pages 143-158.
    10. Andrada-Félix, Julián & Fernández-Rodríguez, Fernando & Fuertes, Ana-Maria, 2016. "Combining nearest neighbor predictions and model-based predictions of realized variance: Does it pay?," International Journal of Forecasting, Elsevier, vol. 32(3), pages 695-715.
    11. Bruno Deschamps & Tianlun Fei & Ying Jiang & Xiaoquan Liu, 2022. "Procyclical volatility in Chinese stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 58(3), pages 1117-1144, April.

  21. Ana‐Maria Fuertes & Joëlle Miffre & Adrian Fernandez‐Perez, 2015. "Commodity Strategies Based on Momentum, Term Structure, and Idiosyncratic Volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(3), pages 274-297, March.

    Cited by:

    1. Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Miffre, Joëlle, 2019. "A comprehensive appraisal of style-integration methods," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 134-150.
    2. Abid, Ilyes & Goutte, Stéphane & Guesmi, Khaled & Jamali, Ibrahim, 2019. "Transmission of shocks and contagion from U.S. to MENA equity markets: The role of oil and gas markets," Energy Policy, Elsevier, vol. 134(C).
    3. Horváth, Lajos & Liu, Zhenya & Rice, Gregory & Wang, Shixuan, 2020. "A functional time series analysis of forward curves derived from commodity futures," International Journal of Forecasting, Elsevier, vol. 36(2), pages 646-665.
    4. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, September.
    5. Zhang, Wei & Li, Yi, 2020. "Is idiosyncratic volatility priced in cryptocurrency markets?," Research in International Business and Finance, Elsevier, vol. 54(C).
    6. Bianchi, Robert J. & Drew, Michael E. & Fan, John Hua, 2016. "Commodities momentum: A behavioral perspective," Journal of Banking & Finance, Elsevier, vol. 72(C), pages 133-150.
    7. Benjamin R. Auer & Horst Rottmann, 2018. "Have Capital Market Anomalies Worldwide Attenuated in the Recent Era of High Liquidity and Trading Activity?," CESifo Working Paper Series 7204, CESifo.
    8. Bianchi, Robert J. & Drew, Michael E. & Fan, John Hua, 2015. "Combining momentum with reversal in commodity futures," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 423-444.
    9. Yu, Dan & Chen, Chuang & Wang, Yudong & Zhang, Yaojie, 2023. "Hedging pressure momentum and the predictability of oil futures returns," Economic Modelling, Elsevier, vol. 121(C).
    10. Miffre, Joëlle, 2016. "Long-short commodity investing: A review of the literature," Journal of Commodity Markets, Elsevier, vol. 1(1), pages 3-13.
    11. Yasuhiro Iwanaga & Ryuta Sakemoto, 2023. "Commodity momentum decomposition," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(2), pages 198-216, February.
    12. Massimo Guidolin & Manuela Pedio, 2022. "Switching Coefficients or Automatic Variable Selection: An Application in Forecasting Commodity Returns," Forecasting, MDPI, vol. 4(1), pages 1-32, February.
    13. Benjamin R. Auer, 2021. "Have trend-following signals in commodity futures markets become less reliable in recent years?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(4), pages 533-553, December.
    14. Jangkoo Kang & Kyung Yoon Kwon, 2021. "Volatility‐managed commodity futures portfolios," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(2), pages 159-178, February.
    15. Hutchinson, Mark C. & O'Brien, John, 2020. "Time series momentum and macroeconomic risk," International Review of Financial Analysis, Elsevier, vol. 69(C).
    16. Yang, Yurun & Göncü, Ahmet & Pantelous, Athanasios A., 2018. "Momentum and reversal strategies in Chinese commodity futures markets," International Review of Financial Analysis, Elsevier, vol. 60(C), pages 177-196.
    17. Ahn, Jung-Hyun & Six, Pierre, 2019. "A study of first generation commodity indices: Indices based on financial diversification," Finance Research Letters, Elsevier, vol. 30(C), pages 194-200.
    18. Massimo Guidolin & Manuela Pedio, 2020. "Distilling Large Information Sets to Forecast Commodity Returns: Automatic Variable Selection or HiddenMarkov Models?," BAFFI CAREFIN Working Papers 20140, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    19. Pu, Yingjian & Yang, Baochen, 2022. "The commodity futures' historical basis in trading strategy and portfolio investment," Energy Economics, Elsevier, vol. 105(C).
    20. Meng Han, 2023. "Commodity momentum and reversal: Do they exist, and if so, why?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(9), pages 1204-1237, September.
    21. Zhang, Hanxiong & Auer, Benjamin R. & Vortelinos, Dimitrios I., 2018. "Performance ranking (dis)similarities in commodity markets," Global Finance Journal, Elsevier, vol. 35(C), pages 115-137.
    22. Stephen A. Gorman & Frank J. Fabozzi, 2021. "The ABC’s of the alternative risk premium: academic roots," Journal of Asset Management, Palgrave Macmillan, vol. 22(6), pages 405-436, October.
    23. Sakkas, Athanasios & Tessaromatis, Nikolaos, 2020. "Factor based commodity investing," Journal of Banking & Finance, Elsevier, vol. 115(C).
    24. Bosch, David & Smimou, K., 2022. "Traders’ motivation and hedging pressure in commodity futures markets," Research in International Business and Finance, Elsevier, vol. 59(C).
    25. Jiang, Xue & Han, Liyan & Yin, Libo, 2019. "Currency strategies based on momentum, carry trade and skewness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 121-131.
    26. Ana‐Maria Fuertes & Zhenya Liu & Weiqing Tang, 2022. "Risk‐neutral skewness and commodity futures pricing," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(4), pages 751-785, April.
    27. John Hua Fan & Tingxi Zhang, 2020. "The untold story of commodity futures in China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(4), pages 671-706, April.

  22. Ana-Maria Fuertes & Gulnur Muradoglu & Belma Ozturkkal, 2014. "A behavioral analysis of investor diversification," The European Journal of Finance, Taylor & Francis Journals, vol. 20(6), pages 499-523, June.

    Cited by:

    1. Loban, Lidia & Sarto, José Luis & Vicente, Luis, 2021. "Determinants of non-compliant equity funds with EU portfolio concentration limits," Journal of Multinational Financial Management, Elsevier, vol. 62(C).
    2. Raslan Alzuabi & Sarah Brown & Mark N. Harris & Karl Taylor, 2024. "Modelling the composition of household portfolios: A latent class approach," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 57(1), pages 243-275, February.
    3. Şenol, Doğaç & Onay, Ceylan, 2023. "Impact of gamification on mitigating behavioral biases of investors," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    4. Han, Dun & Han, Liyan & Wu, Yanran & Liu, Pei, 2021. "Dividend or growth funds: What drives individual investors' choices?," International Review of Financial Analysis, Elsevier, vol. 77(C).
    5. Baeckström, Ylva & Marsh, Ian W. & Silvester, Joanne, 2021. "Financial advice and gender: Wealthy individual investors in the UK," Journal of Corporate Finance, Elsevier, vol. 71(C).
    6. Kim, Hohyun & Kim, Kyoung Tae & Hanna, Sherman D., 2022. "The Effect of Investment Literacy on the Likelihood of Retail Investor Margin Trading and Having a Margin Call," Finance Research Letters, Elsevier, vol. 45(C).
    7. Ravi Kashyap, 2023. "DeFi Security: Turning The Weakest Link Into The Strongest Attraction," Papers 2312.00033, arXiv.org.
    8. Lu, Xiaomeng & Guo, Jiaojiao & Gan, Li, 2020. "International comparison of household asset allocation: Micro-evidence from cross-country comparisons," Emerging Markets Review, Elsevier, vol. 43(C).
    9. Xiaomeng Lu & Yali Lai & Yong Zhang, 2023. "Digital financial inclusion and investment diversification: Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(S2), pages 2781-2799, June.
    10. Duxbury, Darren & Hudson, Robert & Keasey, Kevin & Yang, Zhishu & Yao, Songyao, 2015. "Do the disposition and house money effects coexist? A reconciliation of two behavioral biases using individual investor-level data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 55-68.
    11. Lu, Xiaomeng & Zhang, Yong & Zhang, Yixing & Wang, Lin, 2020. "Can investment advisors promote rational investment? Evidence from micro-data in China," Economic Modelling, Elsevier, vol. 86(C), pages 251-263.

  23. Fuertes, Ana-Maria & Olmo, Jose, 2013. "Optimally harnessing inter-day and intra-day information for daily value-at-risk prediction," International Journal of Forecasting, Elsevier, vol. 29(1), pages 28-42.

    Cited by:

    1. Fei, Fei & Fuertes, Ana-Maria & Kalotychou, Elena, 2017. "Dependence in credit default swap and equity markets: Dynamic copula with Markov-switching," International Journal of Forecasting, Elsevier, vol. 33(3), pages 662-678.
    2. Bjoern Schulte-Tillmann & Mawuli Segnon & Timo Wiedemann, 2023. "A comparison of high-frequency realized variance measures: Duration- vs. return-based approaches," CQE Working Papers 10523, Center for Quantitative Economics (CQE), University of Muenster.
    3. Chiu, Yen-Chen & Chuang, I-Yuan, 2016. "The performance of the switching forecast model of value-at-risk in the Asian stock markets," Finance Research Letters, Elsevier, vol. 18(C), pages 43-51.
    4. Ana-Maria Fuertes & Jose Olmo, 2016. "On Setting Day-Ahead Equity Trading Risk Limits: VaR Prediction at Market Close or Open?," JRFM, MDPI, vol. 9(3), pages 1-20, September.
    5. Dimitriadis, Timo & Liu, Xiaochun & Schnaitmann, Julie, 2020. "Encompassing tests for value at risk and expected shortfall multi-step forecasts based on inference on the boundary," Hohenheim Discussion Papers in Business, Economics and Social Sciences 11-2020, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    6. Meng, Xiaochun & Taylor, James W., 2018. "An approximate long-memory range-based approach for value at risk estimation," International Journal of Forecasting, Elsevier, vol. 34(3), pages 377-388.
    7. Marius Matei & Xari Rovira & Núria Agell, 2019. "Bivariate Volatility Modeling with High-Frequency Data," Econometrics, MDPI, vol. 7(3), pages 1-15, September.
    8. Santos, Douglas G. & Candido, Osvaldo & Tófoli, Paula V., 2022. "Forecasting risk measures using intraday and overnight information," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    9. Reber, Beat, 2017. "Does mispricing, liquidity or third-party certification contribute to IPO downside risk?," International Review of Financial Analysis, Elsevier, vol. 51(C), pages 25-53.
    10. Seyed Mohammad Sina Seyfi & Azin Sharifi & Hamidreza Arian, 2020. "Portfolio Risk Measurement Using a Mixture Simulation Approach," Papers 2011.07994, arXiv.org.
    11. Arian, Hamid & Moghimi, Mehrdad & Tabatabaei, Ehsan & Zamani, Shiva, 2022. "Encoded Value-at-Risk: A machine learning approach for portfolio risk measurement," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 202(C), pages 500-525.
    12. Ahoniemi, Katja & Lanne, Markku, 2013. "Overnight stock returns and realized volatility," International Journal of Forecasting, Elsevier, vol. 29(4), pages 592-604.
    13. Lazar, Emese & Xue, Xiaohan, 2020. "Forecasting risk measures using intraday data in a generalized autoregressive score framework," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1057-1072.
    14. Lu-Tao Zhao & Li-Na Liu & Zi-Jie Wang & Ling-Yun He, 2019. "Forecasting Oil Price Volatility in the Era of Big Data: A Text Mining for VaR Approach," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
    15. Bayer, Sebastian, 2018. "Combining Value-at-Risk forecasts using penalized quantile regressions," Econometrics and Statistics, Elsevier, vol. 8(C), pages 56-77.
    16. Seyfi, Seyed Mohammad Sina & Sharifi, Azin & Arian, Hamidreza, 2021. "Portfolio Value-at-Risk and expected-shortfall using an efficient simulation approach based on Gaussian Mixture Model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 190(C), pages 1056-1079.
    17. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    18. Jayawardena, Nirodha I. & Todorova, Neda & Li, Bin & Su, Jen-Je, 2020. "Volatility forecasting using related markets’ information for the Tokyo stock exchange," Economic Modelling, Elsevier, vol. 90(C), pages 143-158.
    19. Louzis, Dimitrios P. & Xanthopoulos-Sisinis, Spyros & Refenes, Apostolos P., 2014. "Realized volatility models and alternative Value-at-Risk prediction strategies," Economic Modelling, Elsevier, vol. 40(C), pages 101-116.
    20. Andrada-Félix, Julián & Fernández-Rodríguez, Fernando & Fuertes, Ana-Maria, 2016. "Combining nearest neighbor predictions and model-based predictions of realized variance: Does it pay?," International Journal of Forecasting, Elsevier, vol. 32(3), pages 695-715.
    21. Ana-Maria Fuertes & Elena Kalotychou & Natasa Todorovic, 2015. "Daily volume, intraday and overnight returns for volatility prediction: profitability or accuracy?," Review of Quantitative Finance and Accounting, Springer, vol. 45(2), pages 251-278, August.
    22. Taylor, James W., 2020. "Forecast combinations for value at risk and expected shortfall," International Journal of Forecasting, Elsevier, vol. 36(2), pages 428-441.
    23. Jan G. De Gooijer, 2023. "Penalized Averaging of Quantile Forecasts from GARCH Models with Many Exogenous Predictors," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 407-424, June.

  24. Georgios Rallis & Joëlle Miffre & Ana‐Maria Fuertes, 2013. "Strategic and Tactical Roles of Enhanced Commodity Indices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(10), pages 965-992, October.

    Cited by:

    1. Ye, Wuyi & Guo, Ranran & Jiang, Ying & Liu, Xiaoquan & Deschamps, Bruno, 2019. "Professional macroeconomic forecasts and Chinese commodity futures prices," Finance Research Letters, Elsevier, vol. 28(C), pages 130-136.
    2. Daskalaki, Charoula & Skiadopoulos, George & Topaloglou, Nikolas, 2017. "Diversification benefits of commodities: A stochastic dominance efficiency approach," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 250-269.
    3. Simone Bernardi & Markus Leippold & Harald Lohre, 2018. "Maximum diversification strategies along commodity risk factors," European Financial Management, European Financial Management Association, vol. 24(1), pages 53-78, January.
    4. Shanghui Jia & Xinhui Chen & Liyan Han & Jiayu Jin, 2023. "Global climate change and commodity markets: A hedging perspective," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(10), pages 1393-1422, October.
    5. Xiangyu Chen & Jittima Tongurai, 2021. "The Relationship Between China’s Real Estate Market and Industrial Metals Futures Market: Evidence from Non-price Measures of the Real Estate Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(4), pages 527-561, December.
    6. Yan, Lei & Garcia, Philip, 2017. "Portfolio investment: Are commodities useful?," Journal of Commodity Markets, Elsevier, vol. 8(C), pages 43-55.
    7. Yan, Cheng & Phylaktis, Kate & Fuertes, Ana-Maria, 2016. "On cross-border bank credit and the U.S. financial crisis transmission to equity markets," Journal of International Money and Finance, Elsevier, vol. 69(C), pages 108-134.
    8. Fethke, Tobias & Prokopczuk, Marcel, 2018. "Is Commodity Index Investing Profitable?," Hannover Economic Papers (HEP) dp-635, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

  25. Fei Fei & Ana-Maria Fuertes & Elena Kalotychou, 2012. "Credit Rating Migration Risk and Business Cycles," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 39(1-2), pages 229-263, January.

    Cited by:

    1. Dmitri Boreiko & Serguei Kaniovski & Yuri Kaniovski & Georg Pflug, 2017. "Traces of business cycles in credit-rating migrations," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-29, April.
    2. Jiménez, G. & Ongena, S. & Peydro, J.L. & Saurina, J., 2012. "Macroprudential Policy, Countercyclical Bank Capital Buffers and Credit Supply : Evidence from the Spanish Dynamic Provisioning Experiments," Other publications TiSEM ea797f30-d12c-4450-8352-9, Tilburg University, School of Economics and Management.
    3. Areski Cousin & J'er^ome Lelong & Tom Picard, 2021. "Rating transitions forecasting: a filtering approach," Papers 2109.10567, arXiv.org, revised Jun 2023.
    4. Zhehao Huang & Zhenghui Li & Zhenzhen Wang, 2020. "Utility Indifference Valuation for Defaultable Corporate Bond with Credit Rating Migration," Mathematics, MDPI, vol. 8(11), pages 1-26, November.
    5. Robert Brooks & Robert Faff & Sirimon Treepongkaruna & Eliza Wu, 2015. "Do Sovereign Re-Ratings Destabilize Equity Markets during Financial Crises? New Evidence from Higher Return Moments," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 42(5-6), pages 777-799, June.
    6. Frederick DUBE & Brian BARNARD, 2019. "Equity Valuation based on a Random Process Modelling of Earnings and Equity Growth," Expert Journal of Economics, Sprint Investify, vol. 7(1), pages 1-31.
    7. Brian BARNARD, 2018. "Rating Migration and Bond Valuation: Ahistorical Interest Rate and Default Probability Term Structures," Expert Journal of Finance, Sprint Investify, vol. 6(1), pages 16-30.
    8. Landini, S. & Uberti, M. & Casellina, S., 2019. "Credit risk migration rates modelling as open systems II: A simulation model and IFRS9-baseline principles," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 175-189.
    9. Jeffrey R. Stokes, 2023. "A nonlinear inversion procedure for modeling the effects of economic factors on credit risk migration," Review of Quantitative Finance and Accounting, Springer, vol. 61(3), pages 855-878, October.
    10. Tomáš Vaněk & David Hampel, 2017. "The Probability of Default Under IFRS 9: Multi-period Estimation and Macroeconomic Forecast," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(2), pages 759-776.
    11. Patrycja Chodnicka Jaworska, "undated". "Prediction Of Banking Sector Condition," Review of Socio - Economic Perspectives 201703, Reviewsep.
    12. Brian BARNARD, 2017. "Rating Migration and Bond Valuation: Decomposing Rating Migration Matrices from Market Data via Default Probability Term Structures," Expert Journal of Finance, Sprint Investify, vol. 5, pages 49-72.
    13. Lin Tian & Liang Han & Song Zhang, 2015. "Business Life Cycle and Capital Structure: Evidence from Chinese Manufacturing Firms," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 23(2), pages 22-39, March.
    14. Jobst, Rainer & Kellner, Ralf & Rösch, Daniel, 2020. "Bayesian loss given default estimation for European sovereign bonds," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1073-1091.
    15. Camilla Ferretti & Giampaolo Gabbi & Piero Ganugi & Federica Sist & Pietro Vozzella, 2019. "Credit Risk Migration and Economic Cycles," Risks, MDPI, vol. 7(4), pages 1-18, October.
    16. Dimitris Gavalas & Theodore Syriopoulos, 2014. "Bank Credit Risk Management and Rating Migration Analysis on the Business Cycle," IJFS, MDPI, vol. 2(1), pages 1-22, March.
    17. Dimitris Gavalas & Theodore Syriopoulos, 2014. "Bank Credit Risk Management and Migration Analysis; Conditioning Transition Matrices on the Stage of the Business Cycle," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 20(2), pages 151-166, May.
    18. T. Gärtner & S. Kaniovski & Y. Kaniovski, 2021. "Numerical estimates of risk factors contingent on credit ratings," Computational Management Science, Springer, vol. 18(4), pages 563-589, October.
    19. Anisa Caja & Quentin Guibert & Frédéric Planchet, 2015. "Influence of Economic Factors on the Credit Rating Transitions and Defaults of Credit Insurance Business," Working Papers hal-01178812, HAL.
    20. Dmitri Boreiko & Serguei Kaniovski & Yuri Kaniovski & Georg Ch. Pflug, 2018. "Business Cycles and Conditional Credit-Rating Migration Matrices," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 8(04), pages 1-19, December.
    21. Brian BARNARD, 2017. "Rating Migration and Bond Valuation: Decomposing Rating Migration Matrices from Market Data via Default Probability Term Structures," Expert Journal of Finance, Sprint Investify, vol. 5(1), pages 49-72.

  26. Brun-Aguerre, Raphael & Fuertes, Ana-Maria & Phylaktis, Kate, 2012. "Exchange rate pass-through into import prices revisited: What drives it?," Journal of International Money and Finance, Elsevier, vol. 31(4), pages 818-844.

    Cited by:

    1. Pleskachev, Yury (Плескачев, Юрий) & Ponomarev, Yury (Пономарев, Юрий), 2017. "Import Price Rigidity and Invoice Currency in Russia [Валюта Контракта И Жесткость Цен На Импортные Товары В России]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 3, pages 80-99, June.
    2. Janine Aron & Ronald Macdonald & John Muellbauer, 2014. "Exchange Rate Pass-Through in Developing and Emerging Markets: A Survey of Conceptual, Methodological and Policy Issues, and Selected Empirical Findings," Journal of Development Studies, Taylor & Francis Journals, vol. 50(1), pages 101-143, January.
    3. Diby François Kassi & Dilesha Nawadali Rathnayake & Akadje Jean Roland Edjoukou & Yobouet Thierry Gnangoin & Pierre Axel Louembe & Ning Ding & Gang Sun, 2019. "Asymmetry in Exchange Rate Pass-Through to Consumer Prices: New Perspective from Sub-Saharan African Countries," Economies, MDPI, vol. 7(1), pages 1-33, January.
    4. Ahmad Zubaidi Baharumshah & Siew-Voon Soon & Mark E. Wohar, 2021. "Phillips Curve for the Asian Economies: A Nonlinear Perspective," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(12), pages 3508-3537, September.
    5. Antonia Arsova, 2019. "Exchange rate pass-through to import prices in Europe: A panel cointegration approach," Working Paper Series in Economics 384, University of Lüneburg, Institute of Economics.
    6. Borensztein, Eduardo & Queijo Von Heideken, Virginia, 2016. "Exchange Rate Pass-through in South America: An Overview," IDB Publications (Working Papers) 7779, Inter-American Development Bank.
    7. Idrisov, Georgy (Идрисов, Георгий) & Ponomarev, Yury (Пономарев, Юрий) & Pleskachev, Yury Andreevich (Плескачев, Юрий Андреевич), 2016. "Analysis of Joint Exchange Rate Pass-Through and Import Duty Rates in the Russian Economy [Анализ Совместного Эффекта Переноса Обменного Курса И Ввозных Пошлин В Цены В Российской Экономике]," Working Papers 1666, Russian Presidential Academy of National Economy and Public Administration.
    8. Christophe RAULT & Nidhaleddine BEN CHEIKH, 2017. "Investigating First-Stage Exchange Rate Pass-Through : Sectoral and Macro Evidence from Euro Area Countries," LEO Working Papers / DR LEO 2477, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    9. Towbin, Pascal & Weber, Sebastian, 2013. "Limits of floating exchange rates: The role of foreign currency debt and import structure," Journal of Development Economics, Elsevier, vol. 101(C), pages 179-194.
    10. Yusuf Emre Akgunduz & Emine Meltem Bastan & Ufuk Demiroglu & Semih Tumen, 2021. "Product‐level estimates of exchange rate pass‐through: Evidence from Turkey☆," The World Economy, Wiley Blackwell, vol. 44(7), pages 2203-2226, July.
    11. Beckmann, Joscha & Czudaj, Robert, 2014. "Effective exchange rates, current accounts and global imbalances," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100364, Verein für Socialpolitik / German Economic Association.
    12. Mallick, Sushanta & Marques, Helena, 2016. "Pricing strategy of emerging market exporters in alternate currency regimes: The role of comparative advantage," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 68-81.
    13. Safet Kurtović & Blerim Halili & Nehat Maxhuni, 2019. "Exchange rate pass-through into import prices: evidence from Central and Southeast European countries," Indian Economic Review, Springer, vol. 54(1), pages 51-80, June.
    14. Chen, Chaoyi & Polemis, Michael & Stengos, Thanasis, 2019. "Can exchange rate pass-through explain the asymmetric gasoline puzzle? Evidence from a pooled panel threshold analysis of the EU," Energy Economics, Elsevier, vol. 81(C), pages 1-12.
    15. Michael B Devereux & James Yetman, 2014. "Globalisation, pass-through and the optimal policy response to exchange rates," BIS Working Papers 450, Bank for International Settlements.
    16. Alsamara, Mouyad & Mrabet, Zouhair & Hatemi-J, Abdulnasser, 2020. "Pass-through of import cost into consumer prices and inflation in GCC countries: Evidence from a nonlinear autoregressive distributed lags model," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 89-101.
    17. Michael Malenbaum, 2018. "Exchange Rate Pass-Through and the Role of Market Shares," Journal of Industry, Competition and Trade, Springer, vol. 18(2), pages 151-185, June.
    18. Antonia Arsova, 2021. "Exchange rate pass-through to import prices in Europe: a panel cointegration approach," Empirical Economics, Springer, vol. 61(1), pages 61-100, July.
    19. Idris Abdullahi Abdulqadir, 2022. "The nonlinearity of exchange rate pass‐through on currency invoice: A quantile, generalized method of moments and threshold effect‐test from sub‐Sahara African economies," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1473-1494, January.
    20. Naz, Farah & Mohsin, Asma & Zaman, Khalid, 2012. "Exchange rate pass-through in to inflation: New insights in to the cointegration relationship from Pakistan," Economic Modelling, Elsevier, vol. 29(6), pages 2205-2221.
    21. Hendar, 2016. "Inflation mechanisms, expectations and monetary policy in Indonesia," BIS Papers chapters, in: Bank for International Settlements (ed.), Inflation mechanisms, expectations and monetary policy, volume 89, pages 193-203, Bank for International Settlements.
    22. Joscha Beckmann & Ansgar Belke & Florian Verheyen, 2014. "Exchange rate pass-through into German import prices - a disaggregated perspective," Applied Economics, Taylor & Francis Journals, vol. 46(34), pages 4164-4177, December.
    23. Rose Cunningham & Christian Friedrich & Kristina Hess & Min Jae Kim, 2017. "Understanding the Time Variation in Exchange Rate Pass-Through to Import Prices," Discussion Papers 17-12, Bank of Canada.
    24. Safet Kurtović & Nehat Maxhuni & Blerim Halili & Sead Talović, 2021. "Asymmetric exchange rate pass‐through into import prices of Slovenia's manufacturing sector," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4609-4633, July.
    25. Nguyen Van Phuc & Vo Hong Duc, 2021. "Macroeconomics Determinants of Exchange Rate Pass-Through: New Evidence from the Asia-Pacific Region," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(1), pages 5-20, January.
    26. Michael B Devereux & James Yetman, 2014. "Responding to exchange rates in a globalised world," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation, inflation and monetary policy in Asia and the Pacific, volume 77, pages 97-117, Bank for International Settlements.
    27. Stefan Schiman & Andreas Reinstaller, 2015. "Analyse der Terms-of-Trade Österreichs," WIFO Studies, WIFO, number 60648, April.
    28. Mohammadi Khyareh , Mohsen, 2017. "Asymmetric Effects of Exchange Rate Changes in Iran," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 12(3), pages 317-344, July.
    29. Fatma Marrakchi Charfi & Mohamed Kadria, 2016. "Incomplete Exchange Rate Pass-Through Transmission To Prices: An Svar Model For Tunisia," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(04), pages 1-23, December.
    30. Alberto Naudon & Joaquín Vial, 2016. "The evolution of inflation in Chile since 2000," BIS Papers chapters, in: Bank for International Settlements (ed.), Inflation mechanisms, expectations and monetary policy, volume 89, pages 93-116, Bank for International Settlements.
    31. Kiliç, Rehim, 2016. "Regime-dependent exchange-rate pass-through to import prices," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 295-308.
    32. Antoine GODIN & Sakir-Devrim YILMAZ, 2020. "Modelling Small Open Developing Economies in a Financialized World: A Stock-Flow Consistent Prototype Growth Model," Working Paper 5eb7e0e8-560f-4ce6-91a5-5, Agence française de développement.
    33. Siew-Voon Soon & Ahmad Zubaidi Baharumshah, 2017. "Exchange Rate Pass-through (ERPT) into Domestic Prices: Evidence from a Nonlinear Perspective," Economics Bulletin, AccessEcon, vol. 37(2), pages 1160-1167.
    34. Kurtović Safet & Šehić-Kršlak Sabina & Halili Blerim & Maxhuni Nehat, 2018. "Exchange Rate Pass-Through into Import Prices of Croatia," Naše gospodarstvo/Our economy, Sciendo, vol. 64(4), pages 60-73, December.
    35. Sengupta, Darpajit & Sinha Roy, Saikat, 2020. "Exchange Rate Pass-through: An exploration on India’s automobile sector," MPRA Paper 102533, University Library of Munich, Germany.
    36. Baharumshah, Ahmad Zubaidi & Sirag, Abdalla & Soon, Siew-Voon, 2017. "Asymmetric exchange rate pass-through in an emerging market economy: The case of Mexico," Research in International Business and Finance, Elsevier, vol. 41(C), pages 247-259.
    37. Abimelech Paye Gbatu & Zhen Wang & Presley K. Wesseh Jr. & Isaac Yak Repha Tutdel, 2017. "Causal Effects and Dynamic Relationship between Exchange Rate Volatility and Economic Development in Liberia," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 119-131.
    38. Chen, Chaoyi & Polemis, Michael & Stengos, Thanasis, 2018. "On the Examination of Competition in the Petroleum Industry: A Pooled Panel Threshold Analysis," MPRA Paper 89671, University Library of Munich, Germany.
    39. Konopczak, Karolina, 2019. "Can inaction account for the incomplete exchangerate pass-through? Evidence from threshold ARDL model," MF Working Papers 37, Ministry of Finance in Poland.
    40. Ponomarev, Yuriy (Пономарев, Юрий) & Rey, Aleksey (Рей, Алексей) & Radchenko, Darya (Радченко, Дарья), 2018. "Investigation of the Relationship between the Intensity of International Trade and the Volatility of Paired Exchange Rates of the Russian Federation and its Trading Partners [Исследование Взаимосвя," Working Papers 061823, Russian Presidential Academy of National Economy and Public Administration.
    41. Chou, K.W., 2019. "Re-examining the time-varying nature and determinants of exchange rate pass-through into import prices," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 331-351.
    42. Kassi, Diby François & Sun, Gang & Ding, Ning & Rathnayake, Dilesha Nawadali & Assamoi, Guy Roland, 2019. "Asymmetry in exchange rate pass-through to consumer prices: Evidence from emerging and developing Asian countries," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 357-372.
    43. Gonçalves, Thallis Macedo de Assis & Cerqueira, Luiz Fernando & Feijó, Carmem Aparecida, 2023. "Pass-through of exchange rate shocks in Brazil as a small open economy," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    44. Baharumshah, Ahmad Zubaidi & Soon, Siew-Voon & Wohar, Mark E., 2017. "Markov-switching analysis of exchange rate pass-through: Perspective from Asian countries," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 245-257.
    45. Syed Al-Helal Uddin, 2016. "Value-added Trade, Exchange Rate Pass-Through and Trade Elasticity: Revisiting the Trade Competitiveness," 2016 Papers pud11, Job Market Papers.

  27. Fuertes, Ana-Maria & Miffre, Joëlle & Rallis, Georgios, 2010. "Tactical allocation in commodity futures markets: Combining momentum and term structure signals," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2530-2548, October.

    Cited by:

    1. Miffre, Joëlle & Brooks, Chris, 2013. "Do long-short speculators destabilize commodity futures markets?," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 230-240.
    2. de Groot, Wilma & Karstanje, Dennis & Zhou, Weili, 2014. "Exploiting commodity momentum along the futures curves," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 79-93.
    3. Kim, Soo-Hyun & Kang, Hyoung-Goo, 2014. "A new strategy using term-structure dynamics of commodity futures," Finance Research Letters, Elsevier, vol. 11(3), pages 282-288.
    4. Shirui Wang & Tianyang Zhang, 2024. "Predictability of commodity futures returns with machine learning models," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(2), pages 302-322, February.
    5. Andrew Clare & James Seaton & Peter N. Smith & Stephen Thomas, 2012. "The Trend is Our Friend: Risk Parity, Momentum and Trend Following in Global Asset Allocation," Discussion Papers 12/25, Department of Economics, University of York.
    6. Basu, Devraj & Miffre, Joëlle, 2013. "Capturing the risk premium of commodity futures: The role of hedging pressure," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2652-2664.
    7. Lyócsa, Štefan & Molnár, Peter, 2018. "Exploiting dependence: Day-ahead volatility forecasting for crude oil and natural gas exchange-traded funds," Energy, Elsevier, vol. 155(C), pages 462-473.
    8. Narayan, Paresh Kumar & Narayan, Seema & Sharma, Susan Sunila, 2013. "An analysis of commodity markets: what gain for investors?," Working Papers fe_2013_02, Deakin University, Department of Economics.
    9. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, September.
    10. Terence Tai-Leung Chong & Sunny Chun Tsui & Wing Hong Chan, 2017. "Factor pricing in commodity futures and the role of liquidity," Quantitative Finance, Taylor & Francis Journals, vol. 17(11), pages 1745-1757, November.
    11. Bianchi, Robert J. & Drew, Michael E. & Fan, John Hua, 2016. "Commodities momentum: A behavioral perspective," Journal of Banking & Finance, Elsevier, vol. 72(C), pages 133-150.
    12. Schuhmacher, Frank & Eling, Martin, 2011. "Sufficient conditions for expected utility to imply drawdown-based performance rankings," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2311-2318, September.
    13. Fulli-Lemaire, Nicolas, 2013. "Alternative inflation hedging strategies for ALM," MPRA Paper 43755, University Library of Munich, Germany.
    14. Bianchi, Robert J. & Drew, Michael E. & Fan, John Hua, 2015. "Combining momentum with reversal in commodity futures," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 423-444.
    15. Gao, Lin & Süss, Stephan, 2015. "Market sentiment in commodity futures returns," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 84-103.
    16. Simone Bernardi & Markus Leippold & Harald Lohre, 2018. "Maximum diversification strategies along commodity risk factors," European Financial Management, European Financial Management Association, vol. 24(1), pages 53-78, January.
    17. Daskalaki, Charoula & Skiadopoulos, George, 2011. "Should investors include commodities in their portfolios after all? New evidence," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2606-2626, October.
    18. Miffre, Joëlle, 2016. "Long-short commodity investing: A review of the literature," Journal of Commodity Markets, Elsevier, vol. 1(1), pages 3-13.
    19. Han, Yufeng & Hu, Ting & Yang, Jian, 2016. "Are there exploitable trends in commodity futures prices?," Journal of Banking & Finance, Elsevier, vol. 70(C), pages 214-234.
    20. Yasuhiro Iwanaga & Ryuta Sakemoto, 2023. "Commodity momentum decomposition," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(2), pages 198-216, February.
    21. Zhifeng Dai & Tingyu Li & Mi Yang, 2022. "Forecasting stock return volatility: The role of shrinkage approaches in a data‐rich environment," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 980-996, August.
    22. Zaremba, Adam, 2016. "Strategies Based on Momentum and Term Structure in Financialized Commodity Markets," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 7(1), pages 31-46, January.
    23. John Cotter & Emmanuel Eyiah-Donkor & Valerio Potì, 2020. "Commodity Futures Return Predictability and Intertemporal Asset Pricing," Working Papers 202011, Geary Institute, University College Dublin.
    24. Auer, Benjamin R., 2016. "On the performance of simple trading rules derived from the fractal dynamics of gold and silver price fluctuations," Finance Research Letters, Elsevier, vol. 16(C), pages 255-267.
    25. Olson, Eric & J. Vivian, Andrew & Wohar, Mark E., 2014. "The relationship between energy and equity markets: Evidence from volatility impulse response functions," Energy Economics, Elsevier, vol. 43(C), pages 297-305.
    26. Daskalaki, Charoula & Kostakis, Alexandros & Skiadopoulos, George, 2014. "Are there common factors in individual commodity futures returns?," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 346-363.
    27. Thomas Conlon & John Cotter & Emmanuel Eyiah-Donkor, 2022. "The illusion of oil return predictability: The choice of data matters!," Post-Print hal-03519860, HAL.
    28. Jun Yuan & Qi Xu & Ying Wang, 2023. "Probability weighting in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(4), pages 516-548, April.
    29. Mathieu Gomes, 2015. "Harvesting Commodity Curve Premiums Through Roll-Yield Differentials," Post-Print hal-02314399, HAL.
    30. Ari Levine & Yao Hua Ooi & Matthew Richardson, 2016. "Commodities for the Long Run," NBER Working Papers 22793, National Bureau of Economic Research, Inc.
    31. Benjamin R. Auer, 2021. "Have trend-following signals in commodity futures markets become less reliable in recent years?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(4), pages 533-553, December.
    32. Julien Chevallier & Mathieu Gatumel & Florian Ielpo, 2013. "Understanding momentum in commodity markets," Applied Economics Letters, Taylor & Francis Journals, vol. 20(15), pages 1383-1402, October.
    33. Liu, Li & Wang, Yudong & Yang, Li, 2018. "Predictability of crude oil prices: An investor perspective," Energy Economics, Elsevier, vol. 75(C), pages 193-205.
    34. Symeonidis, Lazaros & Prokopczuk, Marcel & Brooks, Chris & Lazar, Emese, 2012. "Futures basis, inventory and commodity price volatility: An empirical analysis," MPRA Paper 39903, University Library of Munich, Germany.
    35. Wang, Yudong & Liu, Li & Wu, Chongfeng, 2020. "Forecasting commodity prices out-of-sample: Can technical indicators help?," International Journal of Forecasting, Elsevier, vol. 36(2), pages 666-683.
    36. Libo Yin & Qingyuan Yang & Zhi Su, 2017. "Predictability of structural co-movement in commodity prices: the role of technical indicators," Quantitative Finance, Taylor & Francis Journals, vol. 17(5), pages 795-812, May.
    37. Dai, Zhifeng & Zhang, Xiaotong & Li, Tingyu, 2023. "Forecasting stock return volatility in data-rich environment: A new powerful predictor," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    38. Lundström, Christian, 2020. "On the Profitability of Momentum Strategies and Optimal Leverage Rules," Umeå Economic Studies 974, Umeå University, Department of Economics.
    39. Hutchinson, Mark C. & O'Brien, John, 2020. "Time series momentum and macroeconomic risk," International Review of Financial Analysis, Elsevier, vol. 69(C).
    40. Yang, Yurun & Göncü, Ahmet & Pantelous, Athanasios A., 2018. "Momentum and reversal strategies in Chinese commodity futures markets," International Review of Financial Analysis, Elsevier, vol. 60(C), pages 177-196.
    41. Ahn, Jung-Hyun & Six, Pierre, 2019. "A study of first generation commodity indices: Indices based on financial diversification," Finance Research Letters, Elsevier, vol. 30(C), pages 194-200.
    42. Yan, Lei & Garcia, Philip, 2017. "Portfolio investment: Are commodities useful?," Journal of Commodity Markets, Elsevier, vol. 8(C), pages 43-55.
    43. Štefan Lyócsa & Peter Molnár, 2016. "Volatility forecasting of strategically linked commodity ETFs: gold-silver," Quantitative Finance, Taylor & Francis Journals, vol. 16(12), pages 1809-1822, December.
    44. Paschke, Raphael & Prokopczuk, Marcel & Wese Simen, Chardin, 2020. "Curve momentum," Journal of Banking & Finance, Elsevier, vol. 113(C).
    45. Fuertes, Ana-Maria & Zhao, Nan, 2023. "A Bayesian perspective on commodity style integration," Journal of Commodity Markets, Elsevier, vol. 30(C).
    46. Fan, John Hua & Mo, Di & Zhang, Tingxi, 2022. "The “necessary evil” in Chinese commodity markets," Journal of Commodity Markets, Elsevier, vol. 25(C).
    47. Boos, Dominik & Grob, Linus, 2023. "Tracking speculative trading," Journal of Financial Markets, Elsevier, vol. 64(C).
    48. Alexopoulos, Thomas A., 2018. "To trust or not to trust? A comparative study of conventional and clean energy exchange-traded funds," Energy Economics, Elsevier, vol. 72(C), pages 97-107.
    49. Olson, Eric & Vivian, Andrew & Wohar, Mark E., 2017. "Do commodities make effective hedges for equity investors?," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1274-1288.
    50. Lubnau, Thorben & Todorova, Neda, 2015. "Trading on mean-reversion in energy futures markets," Energy Economics, Elsevier, vol. 51(C), pages 312-319.
    51. Fuertes, Ana-Maria & Zhao, Nan, 2022. "A Bayesian Perspective on Commodity Style Integration," MPRA Paper 117831, University Library of Munich, Germany, revised 2023.
    52. Pu, Yingjian & Yang, Baochen, 2022. "The commodity futures' historical basis in trading strategy and portfolio investment," Energy Economics, Elsevier, vol. 105(C).
    53. Jesse Blocher & Ricky Cooper & Marat Molyboga, 2018. "Benchmarking commodity investments," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(3), pages 340-358, March.
    54. Renata Guobužaitė & Deimantė Teresienė, 2021. "Can Economic Factors Improve Momentum Trading Strategies? The Case of Managed Futures during the COVID-19 Pandemic," Economies, MDPI, vol. 9(2), pages 1-16, May.
    55. Meng Han, 2023. "Commodity momentum and reversal: Do they exist, and if so, why?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(9), pages 1204-1237, September.
    56. Fan, John Hua & Qiao, Xiao, 2023. "Commodity momentum: A tale of countries and sectors," Journal of Commodity Markets, Elsevier, vol. 29(C).
    57. Zhang, Hanxiong & Auer, Benjamin R. & Vortelinos, Dimitrios I., 2018. "Performance ranking (dis)similarities in commodity markets," Global Finance Journal, Elsevier, vol. 35(C), pages 115-137.
    58. Syed Jawad Hussain Shahzad & Naveed Raza & Aneese Hayat Awan, 2014. "Commodities and Stock Investment," SAGE Open, , vol. 4(3), pages 21582440145, September.
    59. Chen, Xiangyu & Tongurai, Jittima, 2021. "Cross-commodity hedging for illiquid futures: Evidence from China's base metal futures market," Global Finance Journal, Elsevier, vol. 49(C).
    60. Hemei Li & Zhenya Liu & Shixuan Wang, 2022. "Vines climbing higher: Risk management for commodity futures markets using a regular vine copula approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2438-2457, April.
    61. Adhikari, Ramesh & Putnam, Kyle J., 2020. "Comovement in the commodity futures markets: An analysis of the energy, grains, and livestock sectors," Journal of Commodity Markets, Elsevier, vol. 18(C).
    62. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2014. "The international business cycle and gold-price fluctuations," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 292-305.
    63. Stadtmüller, Immo & Auer, Benjamin R. & Schuhmacher, Frank, 2022. "On the time-varying dynamics of stock and commodity momentum returns," Finance Research Letters, Elsevier, vol. 46(PB).
    64. Fabian Lutzenberger & Benedikt Gleich & Herbert G. Mayer & Christian Stepanek & Andreas W. Rathgeber, 2017. "Metals: resources or financial assets? A multivariate cross-sectional analysis," Empirical Economics, Springer, vol. 53(3), pages 927-958, November.
    65. Enrique Benavides Rosales, 2017. "Time-series and cross-sectional momentum and contrarian strategies within the commodity futures markets," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1339772-133, January.
    66. Jean-Thomas Bernard, Lynda Khalaf, Maral Kichian, and Sebastien McMahon, 2015. "The Convenience Yield and the Informational Content of the Oil Futures Price," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    67. Apergis, Nicholas & Eleftheriou, Sofia, 2016. "Gold returns: Do business cycle asymmetries matter? Evidence from an international country sample," Economic Modelling, Elsevier, vol. 57(C), pages 164-170.
    68. Bahloul, Walid & Bouri, Abdelfettah, 2016. "Profitability of return and sentiment-based investment strategies in US futures markets," Research in International Business and Finance, Elsevier, vol. 36(C), pages 254-270.
    69. Yin, Libo & Yang, Qingyuan, 2016. "Predicting the oil prices: Do technical indicators help?," Energy Economics, Elsevier, vol. 56(C), pages 338-350.
    70. Berger, Theo & Czudaj, Robert L., 2020. "Commodity futures and a wavelet-based risk assessment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    71. Gay, Gerald D. & Lin, Chen-Miao & Smith, Stephen D., 2011. "Corporate derivatives use and the cost of equity," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1491-1506, June.
    72. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2022. "Economic importance of correlations for energy and other commodities," Energy Economics, Elsevier, vol. 107(C).
    73. John Hua Fan & Tingxi Zhang, 2020. "The untold story of commodity futures in China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(4), pages 671-706, April.
    74. Fulli-Lemaire, Nicolas, 2012. "Allocating Commodities in Inflation Hedging Portfolios: A Core Driven Global Macro Strategy," MPRA Paper 42852, University Library of Munich, Germany, revised 15 Oct 2012.
    75. Zhang, Yue-Jun & Lin, Jia-Juan, 2019. "Can the VAR model outperform MRS model for asset allocation in commodity market under different risk preferences of investors?," International Review of Financial Analysis, Elsevier, vol. 66(C).
    76. Hyuna Ham & Hoon Cho & Hyeongjun Kim & Doojin Ryu, 2019. "Time‐series momentum in China's commodity futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(12), pages 1515-1528, December.
    77. Christian Hertrich, 2013. "Asset Allocation Considerations for Pension Insurance Funds," Springer Books, Springer, edition 127, number 978-3-658-02167-2, September.

  28. Ana-Maria Fuertes & Shelagh Heffernan & Elena Kalotychou, 2010. "How do UK Banks React to Changing Central Bank Rates?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 37(2), pages 99-130, June.

    Cited by:

    1. Danilo Liberati, 2014. "An estimated DSGE model with search and matching frictions in the credit market," Temi di discussione (Economic working papers) 986, Bank of Italy, Economic Research and International Relations Area.
    2. Ilyas Siklar, 2021. "Transmission of Monetary Policy through Credit Interest Rates in Turkey: A Microeconomic Perspective," Business and Economic Research, Macrothink Institute, vol. 11(4), pages 122-140, December.
    3. Becker, Ralf & Osborn, Denise R. & Yildirim, Dilem, 2012. "A threshold cointegration analysis of interest rate pass-through to UK mortgage rates," Economic Modelling, Elsevier, vol. 29(6), pages 2504-2513.
    4. Dominika Ehrenbergerova & Martin Hodula & Zuzana Rakovska, 2020. "Does Capital-Based Regulation Affect Bank Pricing Policy?," Working Papers 2020/5, Czech National Bank.
    5. Matthew Greenwood-Nimmo & Daan Steenkamp & Rossouw van Jaarsveld, 2022. "A banklevel analysis of interest rate passthrough in South Africa," Working Papers 11027, South African Reserve Bank.
    6. A.H. Ahmad & Nusrate Aziz & Shahina Rummun, 2013. "Interest Rate Pass-Through in the UK: Has the Transmission Mechanism Changed During the Financial Crisis?," Economic Issues Journal Articles, Economic Issues, vol. 18(1), pages 17-38, March.
    7. Quynh Chau Pham Holland & Benjamin Liu & Eduardo Roca, 2019. "International funding cost and heterogeneous mortgage interest-rate pass-through: a bank-level analysis," Empirical Economics, Springer, vol. 57(4), pages 1255-1289, October.
    8. Leo Haan & Elmer Sterken, 2011. "Bank-Specific Daily Interest Rate Adjustment in the Dutch Mortgage Market," Journal of Financial Services Research, Springer;Western Finance Association, vol. 39(3), pages 145-159, June.
    9. Holland, Quynh Chau Pham & Liu, Benjamin & Roca, Eduardo & Salisu, Afees A., 2020. "Mortgage asymmetric pricing, cash rate and international funding cost: Australian evidence," International Review of Economics & Finance, Elsevier, vol. 65(C), pages 46-68.
    10. Turhan, Ibrahim M. & Gumus, Nihat, 2014. "On the relative importance of monetary transmission channels in Turkey," MPRA Paper 69827, University Library of Munich, Germany, revised 12 May 2014.
    11. John Ashton & Andros Gregoriou & Jerome V. Healy, 2013. "The relative influence of price and choice factors on retail deposit quantities," Working Papers 13006, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    12. Richard Sheehan, 2013. "Valuing Core Deposits," Journal of Financial Services Research, Springer;Western Finance Association, vol. 43(2), pages 197-220, April.
    13. Osborne, Matthew & Fuertes, Ana-Maria & Milne, Alistair, 2017. "In good times and in bad: Bank capital ratios and lending rates," International Review of Financial Analysis, Elsevier, vol. 51(C), pages 102-112.
    14. John Ashton & Andros Gregoriou, 2012. "The Influence of Banking Centralisation on Depositors: Regional Heterogeneities in the Transmission of Monetary Policy," Working Papers 12005, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    15. Dilem Yildirim, 2012. "Interest Rate Pass-Through to Turkish Lending Rates: A Threshold Cointegration Analysis," ERC Working Papers 1207, ERC - Economic Research Center, Middle East Technical University, revised Sep 2012.

  29. Fuertes, Ana-Maria & Izzeldin, Marwan & Kalotychou, Elena, 2009. "On forecasting daily stock volatility: The role of intraday information and market conditions," International Journal of Forecasting, Elsevier, vol. 25(2), pages 259-281.

    Cited by:

    1. Degiannakis, Stavros & Filis, George & Hassani, Hossein, 2015. "Forecasting implied volatility indices worldwide: A new approach," MPRA Paper 72084, University Library of Munich, Germany.
    2. Wang, Lu & Ma, Feng & Liu, Jing & Yang, Lin, 2020. "Forecasting stock price volatility: New evidence from the GARCH-MIDAS model," International Journal of Forecasting, Elsevier, vol. 36(2), pages 684-694.
    3. Jui‐Cheng Hung & Hung‐Chun Liu & J. Jimmy Yang, 2023. "Does the tail risk index matter in forecasting downside risk?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3451-3466, July.
    4. Koubaa, Yosra & Slim, Skander, 2019. "The relationship between trading activity and stock market volatility: Does the volume threshold matter?," Economic Modelling, Elsevier, vol. 82(C), pages 168-184.
    5. Yaojie Zhang & Mengxi He & Yuqi Zhao & Xianfeng Hao, 2023. "Predicting stock realized variance based on an asymmetric robust regression approach," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 1022-1047, October.
    6. Ana-Maria Fuertes & Jose Olmo, 2016. "On Setting Day-Ahead Equity Trading Risk Limits: VaR Prediction at Market Close or Open?," JRFM, MDPI, vol. 9(3), pages 1-20, September.
    7. Rice, Gregory & Wirjanto, Tony & Zhao, Yuqian, 2021. "Exploring volatility of crude oil intra-day return curves: a functional GARCH-X Model," MPRA Paper 109231, University Library of Munich, Germany.
    8. Louzis, Dimitrios P. & Xanthopoulos-Sisinis, Spyros & Refenes, Apostolos P., 2011. "Are realized volatility models good candidates for alternative Value at Risk prediction strategies?," MPRA Paper 30364, University Library of Munich, Germany.
    9. Degiannakis, Stavros & Filis, George, 2017. "Forecasting oil price realized volatility using information channels from other asset classes," MPRA Paper 96276, University Library of Munich, Germany.
    10. Louzis, Dimitrios P. & Xanthopoulos-Sisinis, Spyros & Refenes, Apostolos P., 2011. "The role of high frequency intra-daily data, daily range and implied volatility in multi-period Value-at-Risk forecasting," MPRA Paper 35252, University Library of Munich, Germany.
    11. Degiannakis, Stavros & Filis, George, 2016. "Forecasting oil price realized volatility: A new approach," MPRA Paper 69105, University Library of Munich, Germany.
    12. Zhou, Yang & Wang, Xiaoxiao & Dong, Rebecca Kechen & Pu, Ruihui & Yue, Xiao-Guang, 2022. "Natural resources commodity prices volatility: Evidence from COVID-19 for the US economy," Resources Policy, Elsevier, vol. 78(C).
    13. Elena Andreou & Constantinos Kourouyiannis & Andros Kourtellos, 2012. "Volatility Forecast Combinations using Asymmetric Loss Functions," University of Cyprus Working Papers in Economics 07-2012, University of Cyprus Department of Economics.
    14. Stavroula P. Fameliti & Vasiliki D. Skintzi, 2020. "Predictive ability and economic gains from volatility forecast combinations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 200-219, March.
    15. Dimitrios Louzis & Spyros Xanthopoulos-Sisinis & Apostolos Refenes, 2011. "Stock index realized volatility forecasting in the presence of heterogeneous leverage effects and long range dependence in the volatility of realized volatility," Post-Print hal-00709559, HAL.
    16. Todorova, Neda & Souček, Michael, 2014. "The impact of trading volume, number of trades and overnight returns on forecasting the daily realized range," Economic Modelling, Elsevier, vol. 36(C), pages 332-340.
    17. Hung, Jui-Cheng & Liu, Hung-Chun & Yang, J. Jimmy, 2020. "Improving the realized GARCH’s volatility forecast for Bitcoin with jump-robust estimators," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    18. Lyócsa, Štefan & Todorova, Neda, 2020. "Trading and non-trading period realized market volatility: Does it matter for forecasting the volatility of US stocks?," International Journal of Forecasting, Elsevier, vol. 36(2), pages 628-645.
    19. Shang, Han Lin & Kearney, Fearghal, 2022. "Dynamic functional time-series forecasts of foreign exchange implied volatility surfaces," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1025-1049.
    20. Dimitrios I. Vortelinos & Konstantinos Gkillas, 2018. "Intraday realised volatility forecasting and announcements," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 9(1), pages 88-118.
    21. Şener, Emrah & Baronyan, Sayad & Ali Mengütürk, Levent, 2012. "Ranking the predictive performances of value-at-risk estimation methods," International Journal of Forecasting, Elsevier, vol. 28(4), pages 849-873.
    22. BOUSALAM, Issam & HAMZAOUI, Moustapha & ZOUHAYR, Otman, 2016. "Forecasting Daily Stock Volatility Using GARCH-CJ Type Models with Continuous and Jump Variation," MPRA Paper 69636, University Library of Munich, Germany.
    23. Han Lin Shang & Yang Yang & Fearghal Kearney, 2019. "Intraday forecasts of a volatility index: functional time series methods with dynamic updating," Annals of Operations Research, Springer, vol. 282(1), pages 331-354, November.
    24. Rice, Gregory & Wirjanto, Tony & Zhao, Yuqian, 2023. "Exploring volatility of crude oil intraday return curves: A functional GARCH-X model," Journal of Commodity Markets, Elsevier, vol. 32(C).
    25. Chen, Chun-Hung & Yu, Wei-Choun & Zivot, Eric, 2012. "Predicting stock volatility using after-hours information: Evidence from the NASDAQ actively traded stocks," International Journal of Forecasting, Elsevier, vol. 28(2), pages 366-383.
    26. Weibin Wang & Yao Wu, 2023. "Risk Analysis of the Chinese Financial Market with the Application of a Novel Hybrid Volatility Prediction Model," Mathematics, MDPI, vol. 11(18), pages 1-12, September.
    27. Liu, Hung-Chun & Chiang, Shu-Mei & Cheng, Nick Ying-Pin, 2012. "Forecasting the volatility of S&P depositary receipts using GARCH-type models under intraday range-based and return-based proxy measures," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 78-91.
    28. Louzis, Dimitrios P. & Xanthopoulos-Sisinis, Spyros & Refenes, Apostolos P., 2014. "Realized volatility models and alternative Value-at-Risk prediction strategies," Economic Modelling, Elsevier, vol. 40(C), pages 101-116.
    29. Kshitij Kakade & Aswini Kumar Mishra & Kshitish Ghate & Shivang Gupta, 2022. "Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH‐LSTM based Approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(2), pages 103-117, April.
    30. Sauraj Verma, 2021. "Forecasting volatility of crude oil futures using a GARCH–RNN hybrid approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(2), pages 130-142, April.
    31. Zhang, Wenyu & Chen, Qian & Yan, Jianyong & Zhang, Shuai & Xu, Jiyuan, 2021. "A novel asynchronous deep reinforcement learning model with adaptive early forecasting method and reward incentive mechanism for short-term load forecasting," Energy, Elsevier, vol. 236(C).
    32. Ana-Maria Fuertes & Elena Kalotychou & Natasa Todorovic, 2015. "Daily volume, intraday and overnight returns for volatility prediction: profitability or accuracy?," Review of Quantitative Finance and Accounting, Springer, vol. 45(2), pages 251-278, August.
    33. Degiannakis, Stavros & Filis, George & Hassani, Hossein, 2018. "Forecasting global stock market implied volatility indices," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 111-129.
    34. Francq, Christian & Thieu, Le Quyen, 2015. "Qml inference for volatility models with covariates," MPRA Paper 63198, University Library of Munich, Germany.
    35. Jian Zhou, 2017. "Forecasting REIT volatility with high-frequency data: a comparison of alternative methods," Applied Economics, Taylor & Francis Journals, vol. 49(26), pages 2590-2605, June.
    36. Hu, Yan & Ni, Jian & Wen, Liu, 2020. "A hybrid deep learning approach by integrating LSTM-ANN networks with GARCH model for copper price volatility prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).

  30. Ana-Maria Fuertes & Shelagh A. Heffernan, 2009. "Interest rate transmission in the UK: a comparative analysis across financial firms and products," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 14(1), pages 45-63.

    Cited by:

    1. David ARISTEI & Manuela Gallo, 2012. "Interest Rate Pass-Through in the Euro Area during the Financial Crisis: a Multivariate Regime-Switching Approach," Quaderni del Dipartimento di Economia, Finanza e Statistica 107/2012, Università di Perugia, Dipartimento Economia.
    2. Alberto Montagnoli & Oreste Napolitano & Boriss Siliverstovs, 2012. "Regional interest rate pass-through in Italy," KOF Working papers 12-308, KOF Swiss Economic Institute, ETH Zurich.
    3. Ana-Maria Fuertes & Shelagh Heffernan & Elena Kalotychou, 2010. "How do UK Banks React to Changing Central Bank Rates?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 37(2), pages 99-130, June.
    4. Mahmood, Farrukh, 2017. "Farrukh," MPRA Paper 79734, University Library of Munich, Germany.
    5. Anderson, Robert D.J. & Ashton, John K. & Hudson, Robert S., 2014. "The influence of product age on pricing decisions: An examination of bank deposit interest rate setting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 216-230.
    6. Fernando, Antonette, 2022. "The Role of Financial Structural Factors in Retail Rate Adjustment: Evidence from Sri Lanka," OSF Preprints gn5jp, Center for Open Science.
    7. Iva Cecchin, 2011. "Mortgage Rate Pass-Through in Switzerland," Working Papers 2011-08, Swiss National Bank.
    8. John K. Ashton, 2012. "Do Depositors Benefit from Bank Mergers? An Examination of the UK Deposit Market," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 19(1), pages 1-23, February.
    9. Leo Haan & Elmer Sterken, 2011. "Bank-Specific Daily Interest Rate Adjustment in the Dutch Mortgage Market," Journal of Financial Services Research, Springer;Western Finance Association, vol. 39(3), pages 145-159, June.
    10. Harimohan, Rashmi & McLeay, Michael & Young, Garry, 2016. "Pass-through of bank funding costs to lending and deposit rates: lessons from the financial crisis," Bank of England working papers 590, Bank of England.
    11. Vaclav Broz & Michal Hlavacek, 2018. "What Drives the Distributional Dynamics of Client Interest Rates on Consumer Loans in the Czech Republic? A Bank-level Analysis," Working Papers 2018/6, Czech National Bank.
    12. John Ashton & Andros Gregoriou & Jerome V. Healy, 2013. "The relative influence of price and choice factors on retail deposit quantities," Working Papers 13006, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    13. Osborne, Matthew & Fuertes, Ana-Maria & Milne, Alistair, 2017. "In good times and in bad: Bank capital ratios and lending rates," International Review of Financial Analysis, Elsevier, vol. 51(C), pages 102-112.
    14. John Ashton & Andros Gregoriou, 2012. "The Influence of Banking Centralisation on Depositors: Regional Heterogeneities in the Transmission of Monetary Policy," Working Papers 12005, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).

  31. Fuertes, Ana-Maria, 2008. "Sieve bootstrap t-tests on long-run average parameters," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3354-3370, March.

    Cited by:

    1. Marian Vavra, 2015. "On a Bootstrap Test for Forecast Evaluations," Working and Discussion Papers WP 5/2015, Research Department, National Bank of Slovakia.
    2. Urbain, J.R.Y.J. & Westerlund, J., 2008. "Spurious Regression in Nonstationary Panels time Series with Cross-Member Cointegration," Research Memorandum 044, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    3. Trapani, Lorenzo, 2012. "On the asymptotic t-test for large nonstationary panel models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3286-3306.
    4. Smeekes, S. & Urbain, J.R.Y.J., 2011. "On the applicability of the sieve bootstrap in time series panels," Research Memorandum 055, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    5. Trapani, Lorenzo, 2021. "Inferential theory for heterogeneity and cointegration in large panels," Journal of Econometrics, Elsevier, vol. 220(2), pages 474-503.
    6. Di Iorio, Francesca & Fachin, Stefano, 2012. "A note on the estimation of long-run relationships in panel equations with cross-section linkages," Economics Discussion Papers 2012-1, Kiel Institute for the World Economy (IfW Kiel).
    7. Eberhardt, Markus & Teal, Francis, 2009. "A Common Factor Approach to Spatial Heterogeneity in Agricultural Productivity Analysis," MPRA Paper 15810, University Library of Munich, Germany.

  32. Fuertes, Ana-Maria & Kalotychou, Elena, 2007. "Optimal design of early warning systems for sovereign debt crises," International Journal of Forecasting, Elsevier, vol. 23(1), pages 85-100.

    Cited by:

    1. Sarlin, Peter, 2013. "On policymakers' loss function and the evaluation of early warning systems," Working Paper Series 1509, European Central Bank.
    2. Candelon, B. & Dumitrescu, E-I. & Hurlin, C., 2010. "Currency crises early warning systems: why they should be dynamic," Research Memorandum 047, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    3. Bertrand Candelon & Elena Ivona Dumitrescu & Christophe Hurlin, 2012. "How to Evaluate an Early Warning System? Towards a Unified Statistical Framework for Assessing Financial Crises Forecasting Methods," Post-Print hal-01385900, HAL.
    4. Antoine Kornprobst & Raphael Douady, 2015. "An Empirical Approach to Financial Crisis Indicators Based on Random Matrices," Papers 1506.00806, arXiv.org, revised Sep 2017.
    5. Chiaramonte, Laura & Casu, Barbara, 2017. "Capital and liquidity ratios and financial distress. Evidence from the European banking industry," The British Accounting Review, Elsevier, vol. 49(2), pages 138-161.
    6. Arazmuradov, Annageldy, 2016. "Assessing sovereign debt default by efficiency," The Journal of Economic Asymmetries, Elsevier, vol. 13(C), pages 100-113.
    7. Sarlin, Peter & von Schweinitz, Gregor, 2017. "Optimizing policymakers' loss functions in crisis prediction: before, within or after?," Working Paper Series 2025, European Central Bank.
    8. Betz, Frank & Oprică, Silviu & Peltonen, Tuomas A. & Sarlin, Peter, 2014. "Predicting distress in European banks," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 225-241.
    9. Allaj, Erindi & Sanfelici, Simona, 2023. "Early Warning Systems for identifying financial instability," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1777-1803.
    10. von Schweinitz, Gregor & Sarlin, Peter, 2015. "Signaling Crises: How to Get Good Out-of-Sample Performance Out of the Early Warning System," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112964, Verein für Socialpolitik / German Economic Association.
    11. Peltonen, Tuomas A. & Sarlin, Peter & Rancan, Michela, 2015. "Interconnectedness of the banking sector as a vulnerability to crises," Working Paper Series 1866, European Central Bank.
    12. Barbara Jarmulska, 2022. "Random forest versus logit models: Which offers better early warning of fiscal stress?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 455-490, April.
    13. Huiwen Lai & Eric C. Y. Ng, 2020. "On business cycle forecasting," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-26, December.
    14. Sondermann, David & Zorell, Nico, 2019. "A macroeconomic vulnerability model for the euro area," Working Paper Series 2306, European Central Bank.
    15. Roberto Savona & Marika Vezzoli, 2015. "Fitting and Forecasting Sovereign Defaults using Multiple Risk Signals," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 66-92, February.
    16. John Dooley & Dieter Gramlich & Mikhail V. Oet & Stephen J. Ong & Peter Sarlin, 2015. "Evaluating the Information Value for Measures of Systemic Conditions," Working Papers (Old Series) 1513, Federal Reserve Bank of Cleveland.
    17. Dawood, Mary & Horsewood, Nicholas & Strobel, Frank, 2017. "Predicting sovereign debt crises: An Early Warning System approach," Journal of Financial Stability, Elsevier, vol. 28(C), pages 16-28.
    18. Ma, Jason Z. & Deng, Xiang & Ho, Kung-Cheng & Tsai, Sang-Bing, 2018. "Regime-switching determinants of emerging markets sovereign credit risk swaps spread," Economics Discussion Papers 2018-52, Kiel Institute for the World Economy (IfW Kiel).
    19. Maria Elvira Mancino & Simona Sanfelici, 2020. "Identifying financial instability conditions using high frequency data," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 221-242, January.
    20. Paolo Manasse & Roberto Savona & Marika Vezzoli, 2013. "Rules of Thumb for Banking Crises in Emerging Markets," Working Papers 481, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    21. Maximilian Gobel & Tanya Araújo, 2020. "Indicators of Economic Crises: A Data-Driven Clustering Approach," Working Papers REM 2020/0128, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    22. Priyadarshi Dash, 2017. "Predicting Financial Crises: A Study of Asian Economies," Global Business Review, International Management Institute, vol. 18(5), pages 1262-1277, October.
    23. Rani Wijayanti & Sagita Rachmanira, 2020. "Early Warning System for Government Debt Crisis in Developing Countries," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(special i), pages 103-124.
    24. Kehinde Damilola Ilesanmi & Devi Datt Tewari, 2021. "An Early Warning Signal (EWS) Model for Predicting Financial Crisis in Emerging African Economies," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 12(1), pages 101-110, January.
    25. Tamás Kristóf, 2021. "Sovereign Default Forecasting in the Era of the COVID-19 Crisis," JRFM, MDPI, vol. 14(10), pages 1-24, October.
    26. Gould, David M. & Melecky, Martin & Panterov, Georgi, 2016. "Finance, growth and shared prosperity: Beyond credit deepening," Journal of Policy Modeling, Elsevier, vol. 38(4), pages 737-758.
    27. Katleho Makatjane & Ntebogang Moroke, 2021. "Predicting Extreme Daily Regime Shifts in Financial Time Series Exchange/Johannesburg Stock Exchange—All Share Index," IJFS, MDPI, vol. 9(2), pages 1-18, March.
    28. Roberto Savona & Marika Vezzoli, 2012. "Multidimensional Distance‐To‐Collapse Point And Sovereign Default Prediction," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(4), pages 205-228, October.
    29. van den Berg, Jeroen & Candelon, Bertrand & Urbain, Jean-Pierre, 2008. "A cautious note on the use of panel models to predict financial crises," Economics Letters, Elsevier, vol. 101(1), pages 80-83, October.
    30. Jason Z. Ma & Xiang Deng & Kung-Cheng Ho & Sang-Bing Tsai, 2018. "Regime-Switching Determinants for Spreads of Emerging Markets Sovereign Credit Default Swaps," Sustainability, MDPI, vol. 10(8), pages 1-17, August.
    31. Jamshed Y. Uppal, 2017. "External Debt Management in Pakistan: A Market-Based Assessment," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 22(Special E), pages 25-51, September.

  33. Fuertes, Ana-Maria & Kalotychou, Elena, 2007. "On sovereign credit migration: A study of alternative estimators and rating dynamics," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3448-3469, April.
    See citations under working paper version above.
  34. Fuertes, Ana-Maria & Thomas, Dylan C., 2006. "Large market shocks and abnormal closed-end-fund price behaviour," Journal of Banking & Finance, Elsevier, vol. 30(9), pages 2517-2535, September.

    Cited by:

    1. Chan, Kalok & Kot, Hung Wan & Li, Desmond, 2008. "Portfolio concentration and closed-end fund discounts: Evidence from the China market," Emerging Markets Review, Elsevier, vol. 9(2), pages 129-143, June.
    2. Júlio Lobão & Maria Eva Jerke, 2020. "Short-term Overreaction in American Depository Receipts," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 67(4), pages 423-435, December.
    3. Q. Farooq Akram & Dagfinn Rime & Lucio Sarno, 2008. "Does the law of one price hold in international financial markets? Evidence from tick data," Working Paper 2008/19, Norges Bank.
    4. Lin, Sharon Xiaowen & Tamvakis, Michael, 2010. "OPEC announcements and their effects on crude oil prices," Energy Policy, Elsevier, vol. 38(2), pages 1010-1016, February.
    5. Hugh Kelley & Tom Evans, 2010. "Measuring the Impact of Behavioral Traders in the Market for Closed-end Country Funds from 2002 to 2009," Chapters, in: Brian Bruce (ed.), Handbook of Behavioral Finance, chapter 16, Edward Elgar Publishing.
    6. Borgards, Oliver & Czudaj, Robert L., 2020. "The prevalence of price overreactions in the cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    7. Mazouz, Khelifa & Joseph, Nathan L. & Joulmer, Joulmer, 2009. "Stock price reaction following large one-day price changes: UK evidence," Journal of Banking & Finance, Elsevier, vol. 33(8), pages 1481-1493, August.
    8. Amini, Shima & Gebka, Bartosz & Hudson, Robert & Keasey, Kevin, 2013. "A review of the international literature on the short term predictability of stock prices conditional on large prior price changes: Microstructure, behavioral and risk related explanations," International Review of Financial Analysis, Elsevier, vol. 26(C), pages 1-17.
    9. Chen, Li-Wen & Johnson, Shane A. & Lin, Ji-Chai & Liu, Yu-Jane, 2009. "Information, sophistication, and foreign versus domestic investors' performance," Journal of Banking & Finance, Elsevier, vol. 33(9), pages 1636-1651, September.
    10. Dimitrios V Kousenidis & Christos Negakis, 2013. "The Underperformance of Young Closed-End Funds in Greece," Multinational Finance Journal, Multinational Finance Journal, vol. 17(1-2), pages 107-148, March - J.
    11. Bangassa, Kenbata & Su, Chen & Joseph, Nathan L., 2012. "Selectivity and timing performance of UK investment trusts," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(5), pages 1149-1175.

  35. Fuertes, Ana-Maria & Kalotychou, Elena, 2006. "Early warning systems for sovereign debt crises: The role of heterogeneity," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1420-1441, November.

    Cited by:

    1. Fantazzini, Dean, 2022. "Crypto Coins and Credit Risk: Modelling and Forecasting their Probability of Death," MPRA Paper 113744, University Library of Munich, Germany.
    2. Sarlin, Peter, 2013. "On policymakers' loss function and the evaluation of early warning systems," Working Paper Series 1509, European Central Bank.
    3. Han-Hsing Lee & Kuanyu Shih & Kehluh Wang, 2016. "Measuring sovereign credit risk using a structural model approach," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1097-1128, November.
    4. Quentin Bro de Comères, 2022. "Predicting European Banks Distress Events: Do Financial Information Producers Matter?," Working Papers hal-03752678, HAL.
    5. Chiaramonte, Laura & Casu, Barbara, 2017. "Capital and liquidity ratios and financial distress. Evidence from the European banking industry," The British Accounting Review, Elsevier, vol. 49(2), pages 138-161.
    6. Arazmuradov, Annageldy, 2016. "Assessing sovereign debt default by efficiency," The Journal of Economic Asymmetries, Elsevier, vol. 13(C), pages 100-113.
    7. Dean Fantazzini & Silvia Figini, 2009. "Random Survival Forests Models for SME Credit Risk Measurement," Methodology and Computing in Applied Probability, Springer, vol. 11(1), pages 29-45, March.
    8. Fantazzini, Dean, 2008. "Credit Risk Management," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 12(4), pages 84-137.
    9. Thangjam Rajeshwar Singh, 2011. "An ordered probit model of an early warning system for predicting financial crisis in India," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the IFC Conference on "Initiatives to address data gaps revealed by the financial crisis", Basel, 25-26 August 2010, volume 34, pages 185-201, Bank for International Settlements.
    10. Alina Mihaela Dima & Simona Vasilache, 2016. "Credit Risk modeling for Companies Default Prediction using Neural Networks," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 127-143, September.
    11. Peltonen, Tuomas A. & Sarlin, Peter & Rancan, Michela, 2015. "Interconnectedness of the banking sector as a vulnerability to crises," Working Paper Series 1866, European Central Bank.
    12. Barbara Jarmulska, 2022. "Random forest versus logit models: Which offers better early warning of fiscal stress?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 455-490, April.
    13. Cheng, Xian & Zhao, Haichuan, 2019. "Modeling, analysis and mitigation of contagion in financial systems," Economic Modelling, Elsevier, vol. 76(C), pages 281-292.
    14. Roberto Savona & Marika Vezzoli, 2015. "Fitting and Forecasting Sovereign Defaults using Multiple Risk Signals," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 66-92, February.
    15. Bellini, Tiziano & Riani, Marco, 2012. "Robust analysis of default intensity," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3276-3285.
    16. Ms. Svetlana Cerovic & Mrs. Kerstin Gerling & Andrew Hodge & Mr. Paulo A Medas, 2018. "Predicting Fiscal Crises," IMF Working Papers 2018/181, International Monetary Fund.
    17. Fantazzini, Dean, 2023. "Assessing the Credit Risk of Crypto-Assets Using Daily Range Volatility Models," MPRA Paper 117141, University Library of Munich, Germany.
    18. Bartolucci, Francesco & Nigro, Valentina, 2007. "Maximum likelihood estimation of an extended latent Markov model for clustered binary panel data," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3470-3483, April.
    19. Fu, Junhui & Zhou, Qingling & Liu, Yufang & Wu, Xiang, 2020. "Predicting stock market crises using daily stock market valuation and investor sentiment indicators," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    20. Sarlin, Peter & Ramsay, Bruce A., 2014. "Ending over-lending: Assessing systemic risk with debt to cash flow," Bank of Finland Research Discussion Papers 11/2014, Bank of Finland.
    21. Xianglong Liu, 2023. "Towards Better Banking Crisis Prediction: Could an Automatic Variable Selection Process Improve the Performance?," The Economic Record, The Economic Society of Australia, vol. 99(325), pages 288-312, June.
    22. Panayotis Michaelides & Mike Tsionas & Panos Xidonas, 2020. "A Bayesian Signals Approach for the Detection of Crises," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(3), pages 551-585, September.
    23. Dawood, Mary & Horsewood, Nicholas & Strobel, Frank, 2017. "Predicting sovereign debt crises: An Early Warning System approach," Journal of Financial Stability, Elsevier, vol. 28(C), pages 16-28.
    24. Smith, Jonathan Acosta & Grill, Michael & Lang, Jan Hannes, 2017. "The leverage ratio, risk-taking and bank stability," Working Paper Series 2079, European Central Bank.
    25. Fantazzini, Dean & Zimin, Stephan, 2019. "A multivariate approach for the simultaneous modelling of market risk and credit risk for cryptocurrencies," MPRA Paper 95988, University Library of Munich, Germany.
    26. Fuertes, Ana-Maria, 2008. "Sieve bootstrap t-tests on long-run average parameters," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3354-3370, March.
    27. Fantazzini, Dean & Calabrese, Raffaella, 2021. "Crypto-exchanges and Credit Risk: Modelling and Forecasting the Probability of Closure," MPRA Paper 110391, University Library of Munich, Germany.
    28. Tamás Kristóf, 2021. "Sovereign Default Forecasting in the Era of the COVID-19 Crisis," JRFM, MDPI, vol. 14(10), pages 1-24, October.
    29. Moreno Badia, Marialuz & Medas, Paulo & Gupta, Pranav & Xiang, Yuan, 2022. "Debt is not free," Journal of International Money and Finance, Elsevier, vol. 127(C).
    30. Dieter Gerdesmeier & Hans‐Eggert Reimers & Barbara Roffia, 2010. "Asset Price Misalignments and the Role of Money and Credit," International Finance, Wiley Blackwell, vol. 13(3), pages 377-407, December.
    31. Roberto Savona & Marika Vezzoli, 2012. "Multidimensional Distance‐To‐Collapse Point And Sovereign Default Prediction," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(4), pages 205-228, October.
    32. S Figini & P Giudici, 2011. "Statistical merging of rating models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(6), pages 1067-1074, June.
    33. Lanbiao Liu & Chen Chen & Bo Wang, 2022. "Predicting financial crises with machine learning methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 871-910, August.
    34. Sarlin, Peter & Ramsay, Bruce A., 2015. "Ending over-lending: assessing systemic risk with debt to cash flow," Working Paper Series 1769, European Central Bank.

  36. Coakley, Jerry & Fuertes, Ana-Maria & Smith, Ron, 2006. "Unobserved heterogeneity in panel time series models," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2361-2380, May.
    See citations under working paper version above.
  37. Coakley, Jerry & Fuertes, Ana-Maria, 2006. "Testing for sign and amplitude asymmetries using threshold autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 30(4), pages 623-654, April.

    Cited by:

    1. Jürgen Bierbaumer-Polly & Werner Hölzl, 2016. "Business Cycle Dynamics and Firm Heterogeneity. Evidence for Austria Using Survey Data," WIFO Working Papers 504, WIFO.

  38. Coakley, Jerry & Fuertes, Ana-Maria, 2006. "Valuation ratios and price deviations from fundamentals," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2325-2346, August.

    Cited by:

    1. Lorenzo Cerboni Baiardi & Massimo Costabile & Domenico De Giovanni & Fabio Lamantia & Arturo Leccadito & Ivar Massabó & Massimiliano Menzietti & Marco Pirra & Emilio Russo & Alessandro Staino, 2020. "The Dynamics of the S&P 500 under a Crisis Context: Insights from a Three-Regime Switching Model," Risks, MDPI, vol. 8(3), pages 1-15, July.
    2. Menkhoff, Lukas & Rebitzky, Rafael R., 2008. "Investor sentiment in the US-dollar: Longer-term, non-linear orientation on PPP," Journal of Empirical Finance, Elsevier, vol. 15(3), pages 455-467, June.
    3. GIOT, Pierre & PETITJEAN, Mikael, 2007. "The information content of the Bond-Equity Yield Ratio: Better than a random walk?," LIDAM Reprints CORE 1982, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Bialkowski, Jedrzej & Gottschalk, Katrin & Wisniewski, Tomasz, 2006. "Stock market volatiltity around national elections," MPRA Paper 302, University Library of Munich, Germany, revised Nov 2006.
    5. Rania Guirat, 2011. "Investor behavior heterogeneity in the French stock market," Economics Bulletin, AccessEcon, vol. 31(2), pages 1827-1836.
    6. Hayunga, Darren K. & Holowczak, Richard D. & Lung, Peter P. & Nishikawa, Takeshi, 2012. "Derivatives traders’ reaction to mispricing in the underlying equity," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2438-2454.
    7. John Goodell & Richard Bodey, 2012. "Price-earnings changes during US presidential election cycles: voter uncertainty and other determinants," Public Choice, Springer, vol. 150(3), pages 633-650, March.
    8. Chen, An-Sing & Lin, Shih-Chieh, 2011. "Asymmetrical return on equity mean reversion and catering," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 471-477, February.
    9. Londono, Juan M. & Regúlez, Marta & Vázquez, Jesús, 2015. "An alternative view of the US price–dividend ratio dynamics," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 291-307.
    10. Candelon, B. & Metiu, N., 2009. "Testing for exceptional bulls and bears: a non-parametric perspective," Research Memorandum 017, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    11. Candelon, Bertrand & Piplack, Jan & Straetmans, Stefan, 2008. "On measuring synchronization of bulls and bears: The case of East Asia," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1022-1035, June.
    12. L. Spierdijk & J.A. Bikker, 2012. "Mean Reversion in Stock Prices: Implications for Long-Term Investors," Working Papers 12-07, Utrecht School of Economics.
    13. Londoño Yarce, Juan Miguel & Regúlez Castillo, Marta & Vázquez Pérez, Jesús, 2014. "An Alternative View of the US Price-Dividend Ratio Dynamics," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
    14. Polyzos, Efstathios & Wang, Fang, 2022. "Twitter and market efficiency in energy markets: Evidence using LDA clustered topic extraction," Energy Economics, Elsevier, vol. 114(C).
    15. Kevin J. Lansing, 2007. "Rational and near-rational bubbles without drift," Working Paper Series 2007-10, Federal Reserve Bank of San Francisco.
    16. Pierre Giot & Mikael Petitjean, 2009. "Short-term market timing using the bond-equity yield ratio," The European Journal of Finance, Taylor & Francis Journals, vol. 15(4), pages 365-384.
    17. Nneji, Ogonna, 2015. "Liquidity shocks and stock bubbles," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 35(C), pages 132-146.
    18. Chen, Shiu-Sheng, 2009. "Predicting the bear stock market: Macroeconomic variables as leading indicators," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 211-223, February.
    19. Wang, Fang & Gacesa, Marko, 2023. "Semi-strong efficient market of Bitcoin and Twitter: An analysis of semantic vector spaces of extracted keywords and light gradient boosting machine models," International Review of Financial Analysis, Elsevier, vol. 88(C).
    20. L. Spierdijk & J.A. Bikker & P. van den Hoek, 2010. "Mean Reversion in International Stock Markets: An Empirical Analysis of the 20th Century," Working Papers 10-07, Utrecht School of Economics.
    21. Juan Benjamín Duarte Duarte & Juan Manuel Mascare?nas Pérez-Iñigo, 2014. "Comprobación de la eficiencia débil en los principales mercados financieros latinoamericanos," Estudios Gerenciales, Universidad Icesi, November.
    22. Naveen Kumar Baradi & Sanjay Mohapatra, 2014. "The Use of Technical and Fundamental Analyses By Stock Exchange Brokers: Indian Evidence," Journal of Empirical Economics, Research Academy of Social Sciences, vol. 2(4), pages 190-203.
    23. Jerry Coakley & Leon Hadass & Andrew Wood, 2007. "Post‐IPO Operating Performance, Venture Capital and the Bubble Years," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(9‐10), pages 1423-1446, November.
    24. Christian Hott, 2007. "Explaining house price fluctuations," Proceedings 1055, Federal Reserve Bank of Chicago.
    25. Soenke Sievers & Jan Klobucnik, 2011. "Valuing high technology growth firms," Cologne Graduate School Working Paper Series 02-07, Cologne Graduate School in Management, Economics and Social Sciences.
    26. Boucher, Christophe, 2007. "Asymmetric adjustment of stock prices to their fundamental value and the predictability of US stock returns," Economics Letters, Elsevier, vol. 95(3), pages 339-347, June.
    27. Juan Benjamín Duarte Duarte & Juan Manuel Mascareñas Pérez-Iñigo, 2014. "¿Han sido los mercados bursátiles eficientes informacionalmente?," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, June.
    28. Hammami, Yacine & Zhu, Jie, 2020. "Understanding time-varying short-horizon predictability✰," Finance Research Letters, Elsevier, vol. 32(C).
    29. Velinov, Anton & Chen, Wenjuan, 2015. "Do stock prices reflect their fundamentals? New evidence in the aftermath of the financial crisis," Journal of Economics and Business, Elsevier, vol. 80(C), pages 1-20.

  39. Marwan Izzeldin & Ana-Maria Fuertes & Anthony Murphy, 2005. "A guided tour of TSMod 4.03," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 691-698.

    Cited by:

    1. Lee, Hwa-Taek & Yoon, Gawon, 2007. "Does Purchasing Power Parity Hold Sometimes? Regime Switching in Real Exchange Rates," Economics Working Papers 2007-24, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Dima, Bogdan & Dima, Ştefana Maria, 2017. "Mutual information and persistence in the stochastic volatility of market returns: An emergent market example," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 36-59.
    3. Ooms, M., 2008. "Trends in Applied Econometrics Software Development 1985-2008, an analysis of Journal of Applied Econometrics research articles, software reviews, data and code," Serie Research Memoranda 0021, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    4. Hwa-Taek Lee & Gawon Yoon, 2013. "Does purchasing power parity hold sometimes? Regime switching in real exchange rates," Applied Economics, Taylor & Francis Journals, vol. 45(16), pages 2279-2294, June.

  40. Coakley, Jerry & Flood, Robert P. & Fuertes, Ana M. & Taylor, Mark P., 2005. "Purchasing power parity and the theory of general relativity: the first tests," Journal of International Money and Finance, Elsevier, vol. 24(2), pages 293-316, March.

    Cited by:

    1. Luciana Juvenal & Mark P. Taylor, 2007. "The Law of One Price: Nonlinearities in Sectoral Real Exchange Rate Dynamics," Money Macro and Finance (MMF) Research Group Conference 2006 80, Money Macro and Finance Research Group.
    2. Paresh Kumar Narayan, 2005. "New evidence on purchasing power parity from 17 OECD countries," Applied Economics, Taylor & Francis Journals, vol. 37(9), pages 1063-1071.
    3. Menkhoff, Lukas & Rebitzky, Rafael R., 2008. "Investor sentiment in the US-dollar: Longer-term, non-linear orientation on PPP," Journal of Empirical Finance, Elsevier, vol. 15(3), pages 455-467, June.
    4. Carolina Castagnetti & Eduardo Rossi & Lorenzo Trapani, 2014. "A Two-Stage Estimator for Heterogeneous Panel Models with Common Factors," DEM Working Papers Series 066, University of Pavia, Department of Economics and Management.
    5. James R. Lothian & John Devereux, 2011. "Exchange rates and prices in the Netherlands and Britain over the past four centuries," Working Papers 135, Bank of Greece.
    6. Shiu-Sheng Chen, 2012. "Does extracting inflation from stock returns solve the purchasing power parity puzzle?," Empirical Economics, Springer, vol. 42(3), pages 1097-1105, June.
    7. Konstantinos D. Mavromatis, 2009. "Nonlinearities in the Real Exchange Rate and Monetary Policy: Interest Rate Rules Reconsidered," Working Papers 2009-4, Central Bank of Cyprus.
    8. Urbain, J.R.Y.J. & Westerlund, J., 2008. "Spurious Regression in Nonstationary Panels time Series with Cross-Member Cointegration," Research Memorandum 044, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    9. Murphy, Austin, 2008. "An empirical investigation of investor expectations in the currency market," International Review of Financial Analysis, Elsevier, vol. 17(1), pages 108-133.
    10. Peltonen, Tuomas A. & Sager, Michael & Popescu, Adina, 2009. "Can non-linear real shocks explain the persistence of PPP exchange rate disequilibria?," Working Paper Series 1073, European Central Bank.
    11. Lothian, James R. & Taylor, Mark P., 2006. "Real Exchange Rates Over the Past Two Centuries : How Important is the Harrod-Balassa-Samuelson Effect?," The Warwick Economics Research Paper Series (TWERPS) 768, University of Warwick, Department of Economics.
    12. Noman, Abdullah, 2008. "Testing for PPP in the Mean-Group Panel Regression Framework: Further Evidence," MPRA Paper 7825, University Library of Munich, Germany.
    13. Coakley, Jerry & Fuertes, Ana-Maria & Smith, Ron, 2006. "Unobserved heterogeneity in panel time series models," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2361-2380, May.
    14. Luis Fernando Lanaspa Santolaria & Irene Olloqui Cuartero & Fernando Sanz Garcia, 2012. "Common Trends and Linkages in the US Manufacturing Sector, 1969–2000," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 36(5), pages 1093-1111, September.
    15. James Smith, 2008. "That elusive elasticity and the ubiquitous bias: is panel data a panacea?," Bank of England working papers 342, Bank of England.
    16. Bagnai, Alberto & Granville, Brigitte & Mongeau Ospina, Christian A., 2017. "Withdrawal of Italy from the euro area: Stochastic simulations of a structural macroeconometric model," Economic Modelling, Elsevier, vol. 64(C), pages 524-538.
    17. Smith, James, 2008. "That elusive elasticity and the ubiquitous bias: Is panel data a panacea?," Journal of Macroeconomics, Elsevier, vol. 30(2), pages 760-779, June.
    18. Duo Qin & Marie Anne Cagas & Geoffrey Ducanes & Nedelyn Magtibay-Ramos & Pilipinas F. Quising, 2006. "Measuring Regional Market Integration by Dynamic Factor Error Correction Model (DF-ECM) Approach - The Case of Developing Asia," Working Papers 565, Queen Mary University of London, School of Economics and Finance.
    19. Dr. Matthias Gubler, 2014. "Carry Trade Activities: A Multivariate Threshold Model Analysis," Working Papers 2014-06, Swiss National Bank.
    20. Ali, Amjad & Audi, Marc & Al-Masri, Razan, 2022. "The role of environmental conditions and purchasing power parity in determining auality of life among big Asian cities," MPRA Paper 115030, University Library of Munich, Germany.
    21. Stewart, Chris, 2023. "Re-evaluating whether absolute or relative purchasing power parity is being tested when using price indices," Economics Discussion Papers 2023-1, School of Economics, Kingston University London.
    22. Juvenal Luciana & Taylor Mark P., 2008. "Threshold Adjustment of Deviations from the Law of One Price," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(3), pages 1-46, September.
    23. Qin, Duo, 2007. "Uncover Latent PPP by Dynamic Factor Error Correction Model (DF-ECM) Approach: Evidence from five OECD countries," Economics Discussion Papers 2007-29, Kiel Institute for the World Economy (IfW Kiel).
    24. Sarno, Lucio & Valente, Giorgio, 2006. "Deviations from purchasing power parity under different exchange rate regimes: Do they revert and, if so, how?," Journal of Banking & Finance, Elsevier, vol. 30(11), pages 3147-3169, November.
    25. Long, Dara, 2008. "Purchasing Power Parity and Real Exchange Rate in Japan," MPRA Paper 11173, University Library of Munich, Germany.
    26. Qin, Duo & Cagas, Marie Anne & Ducanes, Geoffrey & Magtibay-Ramos, Nedelyn & Quising, Pilipinas F., 2007. "Measuring Regional Market Integration in Developing Asia: a Dynamic Factor Error Correction Model (DF-ECM) Approach," Working Papers on Regional Economic Integration 8, Asian Development Bank.
    27. Alberto Bagnai & Brigitte Granville & Christian Alexander Mongeau Ospina, 2017. "Withdrawal of Italy from the Eurozone: stochastic simulations of a structural macroeconometric model," a/ Working Papers Series 1702, Italian Association for the Study of Economic Asymmetries, Rome (Italy).
    28. André Nassif & Carmem Feijó & Eliane Araújo, 2011. "The trend of the real exchange rate overvaluation in open emerging economies: the case of Brazil," Working Papers 0111, Universidade Federal do Paraná, Department of Economics.
    29. Arsalan FARID* & Alvina Sabah IDREES*, 2014. "PAKISTANS TRADE PATTERNS WITH CHINA AND UAE:Application of Purchasing Power Parity Theory," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 24(1), pages 75-86.
    30. Peltonen, Tuomas A. & Sager, Michael, 2009. "Productivity shocks and real exchange rate: a reappraisal," Working Paper Series 1046, European Central Bank.
    31. Junttila, Juha & Korhonen, Marko, 2011. "Nonlinearity and time-variation in the monetary model of exchange rates," Journal of Macroeconomics, Elsevier, vol. 33(2), pages 288-302, June.
    32. André Nassif & Carmem Feijó & Marco Antônio Silveira De Almeida, 2011. "Why Does Real Exchange Rate Overvalue Inbrazil? Theoretical Determinants, Empirical Evidence And Economicpolicy Dilemmas," Anais do XXXVIII Encontro Nacional de Economia [Proceedings of the 38th Brazilian Economics Meeting] 237, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    33. Paresh Kumar Narayan, 2006. "Are bilateral real exchange rates stationary? Evidence from Lagrange multiplier unit root tests for India," Applied Economics, Taylor & Francis Journals, vol. 38(1), pages 63-70.
    34. Gabriel Rodriguez & Indira Romero, 2007. "The role of permanent and transitory components in the fluctuations of Latin-American real exchange rates," Applied Economics, Taylor & Francis Journals, vol. 39(21), pages 2713-2722.
    35. Mario Cerrato & Nicholas Sarantis, 2007. "Does purchasing power parity hold in emerging markets? Evidence from a panel of black market exchange rates," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 12(4), pages 427-444.
    36. Urbain, J.R.Y.J. & Westerlund, J., 2006. "Spurious regression in nonstationary panels with cross-unit cointegration," Research Memorandum 057, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).

  41. Jerry Coakley & Ana‐Maria Fuertes & Fabio Spagnolo, 2004. "Is the Feldstein–Horioka Puzzle History?," Manchester School, University of Manchester, vol. 72(5), pages 569-590, September.

    Cited by:

    1. Herwartz, Helmut & Xu, Fang, 2007. "A functional coefficient model view of the Feldstein-Horioka puzzle," Economics Working Papers 2007-14, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Francesca Iorio & Stefano Fachin, 2014. "Savings and investments in the OECD: a panel cointegration study with a new bootstrap test," Empirical Economics, Springer, vol. 46(4), pages 1271-1300, June.
    3. Zubarev, Andrei & Trunin, Pavel, 2013. "The Feldstein-Horioka paradox: modern aspects," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, pages 54-73, August.
    4. Muhammad Shahbaz & Nadeem Ahmad & Abu Wahid, 2010. "Savings–Investment Correlation and Capital Outflow: The Case of Pakistan," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 17(1), pages 80-97, May.
    5. Drakos, Anastassios A. & Kouretas, Georgios P. & Stavroyiannis, Stavros & Zarangas, Leonidas, 2017. "Is the Feldstein-Horioka puzzle still with us? National saving-investment dynamics and international capital mobility: A panel data analysis across EU member countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 47(C), pages 76-88.
    6. Rao, B. Bhaskara & Kumar, Saten, 2009. "A panel data approach to the demand for money and the effects of financial reforms in the Asian countries," Economic Modelling, Elsevier, vol. 26(5), pages 1012-1017, September.
    7. Berger, Johannes & Strohner, Ludwig, 2020. "Documentation of the PUblic Policy Model for Austria and other European countries (PUMA)," Research Papers 11, EcoAustria – Institute for Economic Research.
    8. Margarita Katsimi & Gylfi Zoega, 2016. "European Integration and the Feldstein–Horioka Puzzle," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 834-852, December.
    9. Jamilov, Rustam, 2013. "Capital mobility in the Caucasus," Economic Systems, Elsevier, vol. 37(2), pages 155-170.
    10. Georgopoulos, George & Hejazi, Walid, 2009. "The Feldstein-Horioka puzzle revisited: Is the home-bias much less?," International Review of Economics & Finance, Elsevier, vol. 18(2), pages 341-350, March.
    11. Chakrabarti, Avik, 2006. "The saving-investment relationship revisited: New evidence from multivariate heterogeneous panel cointegration analyses," Journal of Comparative Economics, Elsevier, vol. 34(2), pages 402-419, June.
    12. Kaya-Bahçe, Seçil & Özmen, Erdal, 2008. "Exchange rate regimes, saving glut and the Feldstein–Horioka puzzle: The East Asian experience," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(11), pages 2561-2564.
    13. Rocha, Fabiana, 2005. "Heterogeneity, cross section dependence and capital mobility in developing countries," Economics Letters, Elsevier, vol. 89(1), pages 18-23, October.
    14. Costantini, Mauro & Gutierrez, Luciano, 2013. "Capital mobility and global factor shocks," Economics Letters, Elsevier, vol. 120(3), pages 513-515.
    15. Erdal Özmen, 2004. "Current Account Deficits, Macroeconomic Policy Stance and Governance: An Empirical Investigation," ERC Working Papers 0414, ERC - Economic Research Center, Middle East Technical University, revised Oct 2004.
    16. Di Iorio, Francesca & Fachin, Stefano, 2010. "A Panel Cointegration study of the long-run relationship between Savings and Investments in the OECD economies, 1970-2007," MPRA Paper 25873, University Library of Munich, Germany.
    17. Li, Cheng, 2010. "Savings, investment, and capital mobility within China," China Economic Review, Elsevier, vol. 21(1), pages 14-23, March.
    18. Yannick BINEAU, 2010. "A Empirical Assessment of the Feldstein and Horioka Literature," EcoMod2010 259600030, EcoMod.
    19. James Payne & Hassan Mohammadi, 2006. "Capital mobility and savings-investment correlations: panel data evidence from transition economies," Applied Economics Letters, Taylor & Francis Journals, vol. 13(10), pages 611-613.
    20. George R. Zodrow, 2019. "Capital Mobility and Capital Tax Competition," World Scientific Book Chapters, in: George R Zodrow (ed.), TAXATION IN THEORY AND PRACTICE Selected Essays of George R. Zodrow, chapter 18, pages 543-570, World Scientific Publishing Co. Pte. Ltd..
    21. Coakley, Jerry & Fuertes, Ana-Maria & Smith, Ron, 2006. "Unobserved heterogeneity in panel time series models," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2361-2380, May.
    22. Mariam Camarero & Alejandro Muñoz & Cecilio Tamarit, 2022. "The rise and fall of global financial flows in EU 15: new evidence using dynamic panels with common correlated effects," Working Papers 2212, Department of Applied Economics II, Universidad de Valencia.
    23. Wang, Shoukun, 2016. "China's interregional capital mobility: A spatial econometric estimation," China Economic Review, Elsevier, vol. 41(C), pages 114-128.
    24. Smith, Ron P. & Zoega, Gylfi, 2007. "Global Factors, Unemployment Adjustment and the Natural Rate," Economics Discussion Papers 2007-48, Kiel Institute for the World Economy (IfW Kiel).
    25. Erdal Ozmen, 2007. "Financial development, exchange rate regimes and the Feldstein-Horioka puzzle: evidence from the MENA region," Applied Economics, Taylor & Francis Journals, vol. 39(9), pages 1133-1138.
    26. Trapani, Lorenzo, 2012. "On the asymptotic t-test for large nonstationary panel models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3286-3306.
    27. Jerry Coakley & Stuart Snaith, 2004. "Testing for Long Run Relative PPP in Europe," Money Macro and Finance (MMF) Research Group Conference 2004 34, Money Macro and Finance Research Group.
    28. Mosharrof Hosen & Mohammed Imran & Mohammad Ashraful Ferdous Chowdhury, 2021. "Nexus Between Sectoral Shift and Stock Return: Insights From Bangladesh," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 12(1), pages 75-93, January.
    29. Saten Kumar & Scott Fargher & Don J. Webber, 2009. "Testing the validity of the Feldstein-Horioka puzzle for Australia," Working Papers 0911, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    30. Burak Erkut & Gagan Deep Sharma, 2023. "Financial integration in Asia: new Empirical evidence using dynamic panel data estimations," International Economics and Economic Policy, Springer, vol. 20(1), pages 213-231, February.
    31. Apergis, Nicholas & Tsoumas, Chris, 2009. "A survey of the Feldstein-Horioka puzzle: What has been done and where we stand," Research in Economics, Elsevier, vol. 63(2), pages 64-76, June.
    32. Wei, Yong Sze & Suhaimi, rosita & Kueh, Jerome, 2016. "Analysis of International Capital Mobility in ASEAN-5 Countries: Savings- Investment Nexus," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 50(2), pages 155-165.
    33. Pavel Trunin & Andrey Zubarev, 2013. "The Feldstein-Horioka Puzzle: Modern Aspects," Working Papers 0070, Gaidar Institute for Economic Policy, revised 2013.
    34. Duran, Hasan Engin & Ferreira-Lopes, Alexandra, 2022. "The Revival Of The Feldstein-Horioka Puzzle And Moderation Of Capital Flows After The Global Financial Crisis (2008/09)," Research in International Business and Finance, Elsevier, vol. 60(C).
    35. Bahmani-Oskooee, Mohsen & Chakrabarti, Avik, 2005. "Openness, size, and the saving-investment relationship," Economic Systems, Elsevier, vol. 29(3), pages 283-293, September.
    36. Narayan, Paresh Kumar & Narayan, Seema, 2010. "Testing for capital mobility: New evidence from a panel of G7 countries," Research in International Business and Finance, Elsevier, vol. 24(1), pages 15-23, January.
    37. Despina Petreska & Nikica Mojsoska-Blazevski, 2013. "The Feldstein-Horioka Puzzle And Transition Economies," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 58(197), pages 23-46, April – J.
    38. Jamilov, Rustam, 2012. "Capital mobility in the Caucasus," MPRA Paper 38184, University Library of Munich, Germany, revised Apr 2012.
    39. Helmut Herwartz & Florian Siedenburg, 2007. "Determinants of Current Account Imbalances in 16 OECD Countries: An Out-Of-Sample Perspective," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 143(2), pages 349-374, July.
    40. Dash, Santosh Kumar, 2019. "Has the Feldstein-Horioka puzzle waned? Evidence from time series and dynamic panel data analysis," Economic Modelling, Elsevier, vol. 83(C), pages 256-269.
    41. Asdrubali, Pierfederico & Kim, Soyoung, 2009. "Consumption smoothing channels in open economies," Journal of Banking & Finance, Elsevier, vol. 33(12), pages 2293-2300, December.
    42. Bangake, Chrysost & Eggoh, Jude C., 2011. "The Feldstein-Horioka puzzle in African countries: A panel cointegration analysis," Economic Modelling, Elsevier, vol. 28(3), pages 939-947, May.
    43. Rao, B. Bhaskara & Tamazian, Artur & Kumar, Saten, 2010. "Systems GMM estimates of the Feldstein-Horioka puzzle for the OECD countries and tests for structural breaks," Economic Modelling, Elsevier, vol. 27(5), pages 1269-1273, September.
    44. Trapani, Lorenzo, 2021. "Inferential theory for heterogeneity and cointegration in large panels," Journal of Econometrics, Elsevier, vol. 220(2), pages 474-503.
    45. Ibrahim Raheem & Kazeem Ajide & Oluwatosin Adeniyi, 2015. "Is there a role for governance in the saving-investment nexus for Sub-Saharan Africa?," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 17(2), pages 120-134, October.
    46. Mariam Camarero & Alejandro Muñoz & Cecilio Tamarit, 2021. "50 Years of Capital Mobility in the Eurozone: Breaking the Feldstein-Horioka Puzzle," Open Economies Review, Springer, vol. 32(5), pages 867-905, November.
    47. Rajarshi Mitra, 2015. "Saving-Investment Correlation and Capital Flows: The Philippines 1960-2014," Economics Bulletin, AccessEcon, vol. 35(4), pages 2853-2861.
    48. Kumar, Saten & Rao, B. Bhaskara, 2009. "A Time Series Approach to the Feldstein-Horioka Puzzle with Panel Data from the OECD Countries," MPRA Paper 18464, University Library of Munich, Germany.
    49. Kumar, Saten, 2015. "Regional integration, capital mobility and financial intermediation revisited: Application of general to specific method in panel data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 1-17.
    50. Fuertes, Ana-Maria, 2008. "Sieve bootstrap t-tests on long-run average parameters," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3354-3370, March.
    51. Nell, Kevin S. & Santos, Luis Delfim, 2008. "The Feldstein-Horioka hypothesis versus the long-run solvency constraint model: A critical assessment," Economics Letters, Elsevier, vol. 98(1), pages 66-70, January.
    52. Mohammad, Masud Alam & Mohammad, Rafiqul Islam, 2010. "Revisiting the Feldstein-Horioka Hypothesis of savings, investment and capital mobility: evidence from 27 EU countries," MPRA Paper 39383, University Library of Munich, Germany.
    53. Vasudeva N. R. Murthy & Natalya Ketenci, 2020. "Capital mobility in Latin American and Caribbean countries: new evidence from dynamic common correlated effects panel data modeling," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-17, December.
    54. Ibrahim Dolapo Raheem, 2017. "More Finance or Better Finance in Feldstein–Horioka Puzzle: Evidence from SSA Countries," Global Business Review, International Management Institute, vol. 18(1), pages 132-143, February.
    55. Garrison Hongyu Song, 2022. "Capital Mobility vs. Labor Mobility:Theory and Implications," International Journal of Economics and Financial Issues, Econjournals, vol. 12(4), pages 47-55, July.
    56. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2018. "FH Puzzle in the Eurozone: A time-varying analysis Preliminary Draft," Working Papers 1813, Department of Applied Economics II, Universidad de Valencia.
    57. Abu N.M. Wahid & Mohammad Salahuddin & Abdullah M. Noman, 2010. "Savings and investment in South Asia," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 37(6), pages 658-666, November.
    58. Aleksander Aristovnik, 2005. "Twin Deficits Hypothesis And Horioka-Feldstein Puzzle In Transition Economies," International Finance 0510020, University Library of Munich, Germany.
    59. Holmes, Mark J. & Otero, Jesús, 2014. "Re-examining the Feldstein–Horioka and Sachs' views of capital mobility: A heterogeneous panel setup," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 1-11.
    60. Hasnul, Al Gifari & Masih, Mansur, 2016. "Role of instability in affecting capital flight magnitude: An ARDL bounds testing approach," MPRA Paper 72086, University Library of Munich, Germany.
    61. Vasudeva N.R. Murthy & Natalya Ketenci, 2021. "The Feldstein–Horioka hypothesis for African countries: Evidence from recent panel error‐correction modelling," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5762-5774, October.
    62. Fabiana Rocha, 2009. "Heterogeneity, saving-investment dynamics and capital mobility in Latin America," Empirical Economics, Springer, vol. 36(3), pages 611-619, June.
    63. Iorio, Francesca Di & Fachin, Stefano, 2014. "Savings and investments in the OECD, 1970–2007: A test of panel cointegration with regime changes," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 59-76.
    64. Ginama, Isamu & Hayakawa, Kazuhiko & Kanmei, Takahiro, 2018. "Examining the Feldstein–Horioka puzzle using common factor panels and interval estimation," Japan and the World Economy, Elsevier, vol. 48(C), pages 11-21.
    65. João Sousa Andrade, 2007. "L’Intégration Européenne et la Soutenabilité Externe de l’Union Européenne: une application de la thèse de Feldstein-Horioka," GEMF Working Papers 2007-05, GEMF, Faculty of Economics, University of Coimbra.
    66. Rajarshi Mitra, 2017. "Domestic Saving-Investment Correlation Puzzle Revisited: A Time Series Analysis for South Africa," Economics Bulletin, AccessEcon, vol. 37(2), pages 1217-1225.
    67. Akhil Sharma & Tarun Vashishat & Abdul Rishad, 2019. "The consequences of exchange rate trends on international tourism demand: evidence from India," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 21(2), pages 270-287, December.
    68. Solarin Sakiru Adebola & Jauhari Dahalan, 2012. "Capital Mobility: An Application of Savings-Investment Link for Tunisia," International Journal of Economics and Financial Issues, Econjournals, vol. 2(1), pages 1-11.
    69. Ziesemer, Thomas, 2005. "Growth with perfect capital movements in CES: US Debt Dynamics and model estimation," Research Memorandum 012, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).

  42. Coakley, Jerry & Fuertes, Ana-Maria & Perez, Maria-Teresa, 2003. "Numerical issues in threshold autoregressive modeling of time series," Journal of Economic Dynamics and Control, Elsevier, vol. 27(11-12), pages 2219-2242, September.

    Cited by:

    1. Laurent Ferrara & Dominique Guégan, 2006. "Detection of the Industrial Business Cycle using SETAR Models," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(3), pages 353-371.
    2. Marian Vavra, 2012. "A Note on the Finite Sample Properties of the CLS Method of TAR Models," Birkbeck Working Papers in Economics and Finance 1206, Birkbeck, Department of Economics, Mathematics & Statistics.
    3. Chen, An-Sing & Lin, Shih-Chieh, 2011. "Asymmetrical return on equity mean reversion and catering," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 471-477, February.
    4. Coakley, Jerry & Fuertes, Ana-Maria, 2006. "Testing for sign and amplitude asymmetries using threshold autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 30(4), pages 623-654, April.
    5. Gilles Dufrenot & Dominique Guegan & Anne Peguin-Feissolle, 2008. "Changing-regime volatility: A fractionally integrated SETAR model," PSE-Ecole d'économie de Paris (Postprint) halshs-00185369, HAL.
    6. Omay, Tolga & Shahbaz, Muhammad & Stewart, Chris, 2021. "Is There Really Hysteresis in OECD Countries’ Unemployment Rates? New Evidence Using a Fourier Panel Unit Root Test," MPRA Paper 107691, University Library of Munich, Germany, revised 10 May 2021.
    7. Su, Fei & Chan, Kung-Sik, 2015. "Quasi-likelihood estimation of a threshold diffusion process," Journal of Econometrics, Elsevier, vol. 189(2), pages 473-484.
    8. Chun Yip Yau & Chong Man Tang & Thomas C. M. Lee, 2015. "Estimation of Multiple-Regime Threshold Autoregressive Models With Structural Breaks," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(511), pages 1175-1186, September.
    9. Chan, Ngai Hang & Yau, Chun Yip & Zhang, Rong-Mao, 2015. "LASSO estimation of threshold autoregressive models," Journal of Econometrics, Elsevier, vol. 189(2), pages 285-296.
    10. Wolff, Christian & van Tol, Michel R, 2005. "Forecasting the Spot Exchange Rate with the Term Structure of Forward Premia: Multivariate Threshold Cointegration," CEPR Discussion Papers 4958, C.E.P.R. Discussion Papers.
    11. Li, Dong & Tong, Howell, 2016. "Nested sub-sample search algorithm for estimation of threshold models," LSE Research Online Documents on Economics 68880, London School of Economics and Political Science, LSE Library.
    12. Li, Dong & Ling, Shiqing, 2012. "On the least squares estimation of multiple-regime threshold autoregressive models," Journal of Econometrics, Elsevier, vol. 167(1), pages 240-253.
    13. Zarina Oflaz, 2017. "Structural Break, Nonlinearity and the Hysteresis hypothesis: Evidence from new unit root tests," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 4(2), pages 1-16.
    14. Mr. Gene L. Leon & Serineh Najarian, 2003. "Asymmetric Adjustment and Nonlinear Dynamics in Real Exchange Rates," IMF Working Papers 2003/159, International Monetary Fund.
    15. Dufrenot, Gilles & Guegan, Dominique & Peguin-Feissolle, Anne, 2005. "Long-memory dynamics in a SETAR model - applications to stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(5), pages 391-406, December.
    16. Hyginus Leon & Serineh Najarian, 2005. "Asymmetric adjustment and nonlinear dynamics in real exchange rates," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 10(1), pages 15-39.
    17. Norman, Stephen, 2008. "Systematic small sample bias in two regime SETAR model estimation," Economics Letters, Elsevier, vol. 99(1), pages 134-138, April.
    18. Coakley, Jerry & Fuertes, Ana-Maria, 2006. "Valuation ratios and price deviations from fundamentals," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2325-2346, August.
    19. Taylor Mark P. & Davradakis Emmanuel, 2006. "Interest Rate Setting and Inflation Targeting: Evidence of a Nonlinear Taylor Rule for the United Kingdom," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(4), pages 1-20, December.
    20. Taylor, Mark, 2003. "Is Official Exchange Rate Intervention Effective?," CEPR Discussion Papers 3758, C.E.P.R. Discussion Papers.
    21. Ahmad Jameel Khadaroo, 2016. "Current Account Deficit in Mauritius: Risks and Prospects," South African Journal of Economics, Economic Society of South Africa, vol. 84(1), pages 109-128, March.

  43. Coakley, Jerry & Fuertes, Ana-Maria, 2001. "Border costs and real exchange rate dynamics in Europe," Journal of Policy Modeling, Elsevier, vol. 23(6), pages 669-676, August.

    Cited by:

    1. Coakley, Jerry & Fuertes, Ana-Maria & Perez, Maria-Teresa, 2003. "Numerical issues in threshold autoregressive modeling of time series," Journal of Economic Dynamics and Control, Elsevier, vol. 27(11-12), pages 2219-2242, September.
    2. Guneratne Banda Wickremasinghe, 2004. "Purchasing Power Parity Hypothesis in Developing Economies:Some Empirical Evidence from Sri Lanka," International Finance 0406005, University Library of Munich, Germany.
    3. Coakley, Jerry & Fuertes, Ana-Maria, 2006. "Testing for sign and amplitude asymmetries using threshold autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 30(4), pages 623-654, April.
    4. Ana-Maria Fuertes & Jerry Coakley & Andrew Wood, 2004. "A new interpretation of the real exchange rate - yield differential nexus," Money Macro and Finance (MMF) Research Group Conference 2003 32, Money Macro and Finance Research Group.
    5. Yunus Aksoy & Kurmas Akdogan, 2006. "Exchange Rates and Fundamentals: Is there a Role for Nonlinearities in Real Time?," Computing in Economics and Finance 2006 12, Society for Computational Economics.
    6. Sarno, Lucio & Valente, Giorgio, 2006. "Deviations from purchasing power parity under different exchange rate regimes: Do they revert and, if so, how?," Journal of Banking & Finance, Elsevier, vol. 30(11), pages 3147-3169, November.
    7. Hyginus Leon & Serineh Najarian, 2005. "Asymmetric adjustment and nonlinear dynamics in real exchange rates," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 10(1), pages 15-39.
    8. Coakley Jerry & Fuertes Ana-María & Zoega Gylfi, 2001. "Evaluating the Persistence and Structuralist Theories of Unemployment from a Nonlinear Perspective," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 5(3), pages 1-25, October.

  44. Jerry Coakley & Ana‐Maria Fuertes, 2001. "A Non‐Linear Analysis of Excess Foreign Exchange Returns," Manchester School, University of Manchester, vol. 69(6), pages 623-642, December.

    Cited by:

    1. Coakley, Jerry & Fuertes, Ana-Maria & Perez, Maria-Teresa, 2003. "Numerical issues in threshold autoregressive modeling of time series," Journal of Economic Dynamics and Control, Elsevier, vol. 27(11-12), pages 2219-2242, September.
    2. Sekioua, Sofiane H., 2006. "Nonlinear adjustment in the forward premium: evidence from a threshold unit root test," International Review of Economics & Finance, Elsevier, vol. 15(2), pages 164-183.
    3. David G. McMillan, 2003. "Non‐linear Predictability of UK Stock Market Returns," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(5), pages 557-573, December.
    4. Coakley, Jerry & Fuertes, Ana-Maria, 2006. "Testing for sign and amplitude asymmetries using threshold autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 30(4), pages 623-654, April.
    5. Coakley, Jerry & Fuertes, Ana-Maria, 2001. "Border costs and real exchange rate dynamics in Europe," Journal of Policy Modeling, Elsevier, vol. 23(6), pages 669-676, August.
    6. David G. McMillan, 2005. "Non‐linear dynamics in international stock market returns," Review of Financial Economics, John Wiley & Sons, vol. 14(1), pages 81-91.
    7. Taylor, Mark, 2003. "Is Official Exchange Rate Intervention Effective?," CEPR Discussion Papers 3758, C.E.P.R. Discussion Papers.
    8. McMillan, David G., 2005. "Non-linear dynamics in international stock market returns," Review of Financial Economics, Elsevier, vol. 14(1), pages 81-91.

  45. Coakley Jerry & Fuertes Ana-María & Zoega Gylfi, 2001. "Evaluating the Persistence and Structuralist Theories of Unemployment from a Nonlinear Perspective," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 5(3), pages 1-25, October.

    Cited by:

    1. Kurmaş Akdoğan, 2017. "Unemployment hysteresis and structural change in Europe," Empirical Economics, Springer, vol. 53(4), pages 1415-1440, December.
    2. van Dijk, Dick & Franses, Philip Hans & Paap, Richard, 2002. "A nonlinear long memory model, with an application to US unemployment," Journal of Econometrics, Elsevier, vol. 110(2), pages 135-165, October.
    3. Marika Karanassou & Hector Sala & Dennis J. Snower, 2010. "Phillips Curves And Unemployment Dynamics: A Critique And A Holistic Perspective," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 1-51, February.
    4. Giorgio Canarella & Rangan Gupta & Stephen M. Miller & Stephen K. Pollard, 2017. "Unemployment Rate Hysteresis and the Great Recession: Exploring the Metropolitan Evidence," Working Papers 201740, University of Pretoria, Department of Economics.
    5. Caporale, Guglielmo Maria & Gil-Alana, Luis A., 2004. "Non-linearities and fractional integration in the US unemployment rate," HWWA Discussion Papers 259, Hamburg Institute of International Economics (HWWA).
    6. Luis A. Gil-Alana & Guglielmo M. Caporale, 2008. "Modelling the US, the UK and Japanese unemployment rates. Fractional integrationand structural breaks," Faculty Working Papers 11/08, School of Economics and Business Administration, University of Navarra.
    7. Coakley, Jerry & Fuertes, Ana-Maria, 2006. "Testing for sign and amplitude asymmetries using threshold autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 30(4), pages 623-654, April.
    8. Cheng, Ka Ming, 2022. "Doubts on natural rate of unemployment: Evidence and policy implications," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 230-239.
    9. Clemente, Jesus & Lanaspa, Luis & Montañés, Antonio, 2002. "The unemployment structure of the US States," ERSA conference papers ersa02p081, European Regional Science Association.
    10. Atanu Ghoshray & Sushil Mohan, 2021. "Coffee price dynamics: an analysis of the retail-international price margin [Commodity dependence and development: suggestions to tackle the commodities problem]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(4), pages 983-1006.
    11. Dilem Yıldırım & Dilan Aydın, 2021. "One Crisis After Another: A Dynamic Unemployment Persistence Analysis For The Gips Countries," ERC Working Papers 2102, ERC - Economic Research Center, Middle East Technical University, revised Apr 2021.
    12. Kurmaş Akdoğan, 2015. "Unemployment Hysteresis and Structural Change in Europe," EY International Congress on Economics II (EYC2015), November 5-6, 2015, Ankara, Turkey 266, Ekonomik Yaklasim Association.
    13. Diego Romero‐Ávila & Carlos Usabiaga, 2007. "Unit Root Tests, Persistence, and the Unemployment Rate of the U.S. States," Southern Economic Journal, John Wiley & Sons, vol. 73(3), pages 698-716, January.
    14. Coakley, Jerry & Fuertes, Ana-Maria, 2006. "Valuation ratios and price deviations from fundamentals," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2325-2346, August.
    15. Fosten, Jack & Ghoshray, Atanu, 2011. "Dynamic persistence in the unemployment rate of OECD countries," Economic Modelling, Elsevier, vol. 28(3), pages 948-954, May.

  46. Coakley, Jerry & Fuertes, Ana-Marie, 2000. "Is There a Base Currency Effect in Long-Run PPP?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 5(4), pages 253-263, October.

    Cited by:

    1. Michael Kunkler, 2023. "Synthetic money: Addressing the budget‐constraint issue," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3774-3788, October.
    2. Cerrato, Mario & Sarantis, Nicholas, 2007. "A bootstrap panel unit root test under cross-sectional dependence, with an application to PPP," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 4028-4037, May.
    3. Fischer, Christoph & Porath, Daniel, 2006. "A reappraisal of the evidence on PPP: a systematic investigation into MA roots in panel unit root tests and their implications," Discussion Paper Series 1: Economic Studies 2006,23, Deutsche Bundesbank.
    4. Coakley, Jerry & Fuertes, Ana-Maria, 2001. "Border costs and real exchange rate dynamics in Europe," Journal of Policy Modeling, Elsevier, vol. 23(6), pages 669-676, August.
    5. Julián Ramajo Hernández(1) & Montserrat Ferré Carracedo(2), "undated". "Testing For Long-Run Purchasing Power Parity In The Post Bretton Woods Era: Evidence From Old And New Tests," Working Papers 24-05 Classification-JEL , Instituto de Estudios Fiscales.
    6. Fischer, Christoph, 2007. "An assessment of the trends in international price competitiveness among EMU countries," Discussion Paper Series 1: Economic Studies 2007,08, Deutsche Bundesbank.
    7. Guglielmo Maria Caporale & Mario Cerrato, 2004. "Panel Data Tests Of Ppp: A Critical Overview," Economics and Finance Discussion Papers 04-18, Economics and Finance Section, School of Social Sciences, Brunel University.
    8. Hassanain K., 2004. "Purchasing Power Parity: Further Evidence and Implications," Review of Middle East Economics and Finance, De Gruyter, vol. 2(1), pages 61-75, April.
    9. Fischer, Christoph, 2004. "PPP: a Disaggregated View," Discussion Paper Series 1: Economic Studies 2004,07, Deutsche Bundesbank.
    10. Mr. Gene L. Leon & Serineh Najarian, 2003. "Asymmetric Adjustment and Nonlinear Dynamics in Real Exchange Rates," IMF Working Papers 2003/159, International Monetary Fund.
    11. Holmes, Mark J., 2001. "New Evidence on Real Exchange Rate Stationarity and Purchasing Power Parity in Less Developed Countries," Journal of Macroeconomics, Elsevier, vol. 23(4), pages 601-614, October.
    12. Hyginus Leon & Serineh Najarian, 2005. "Asymmetric adjustment and nonlinear dynamics in real exchange rates," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 10(1), pages 15-39.
    13. Fischer, Christoph, 2012. "Price convergence in the EMU? Evidence from micro data," European Economic Review, Elsevier, vol. 56(4), pages 757-776.

  47. Coakley, Jerry & Fuertes, Ana Maria, 1997. "New panel unit root tests of PPP," Economics Letters, Elsevier, vol. 57(1), pages 17-22, November.

    Cited by:

    1. HOLMES, Mark J, 2008. "Non-Linear Trend Stationarity And Co-Trending In Latin American Real Exchange Rates," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 8(1), pages 107-118.
    2. Wagner, Martin, 2005. "On PPP, Unit Roots and Panels," Economics Series 176, Institute for Advanced Studies.
    3. Jan J. J. Groen, 2000. "New Multi-Country Evidence on Purchasing Power Parity: Multi-Variate Unit Root Test Results," Econometric Society World Congress 2000 Contributed Papers 0269, Econometric Society.
    4. Ahmad Zubaidi Baharumshah & Liew Khim Sen & Lim Kian Ping, 2003. "Exchange Rates Forecasting Model: An Alternative Estimation Procedure," International Finance 0307005, University Library of Munich, Germany.
    5. Syed, Munawar-Shah & Mariani, Abdul-Majid & Syed, Hussain-Shah, 2014. "Assessing Fiscal Sustainability for SAARC and IMT-GT Countries," MPRA Paper 62815, University Library of Munich, Germany, revised 2014.
    6. Zenon Wisniewski, 2021. "Long-Term Relationship Between Prices and Exchange Rates," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 63-86.
    7. Chien-Fu Chen & Chien-an Andy Wang & Chung-Hua Shen, 2007. "Does PPP hold for Big Mac price or consumer price index? Evidence from panel cointegration," Economics Bulletin, AccessEcon, vol. 6(16), pages 1-15.
    8. Carew, Richard, 2000. "Pricing To Market Behavior: Evidence From Selected Canadian And U.S. Agri-Food Exports," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-18, December.
    9. Christopoulos, Dimitris K. & León-Ledesma, Miguel A., 2010. "Smooth breaks and non-linear mean reversion: Post-Bretton Woods real exchange rates," Journal of International Money and Finance, Elsevier, vol. 29(6), pages 1076-1093, October.
    10. Barisone, G. & Driver, R.L. & Wren-Lewis, S., 2000. "Are Our FEERs Justified?," Discussion Papers 0002, University of Exeter, Department of Economics.
    11. Fleissig, Adrian R. & Strauss, Jack, 2000. "Panel unit root tests of purchasing power parity for price indices," Journal of International Money and Finance, Elsevier, vol. 19(4), pages 489-506, August.
    12. Joakim Westerlund, 2005. "A Panel CUSUM Test of the Null of Cointegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(2), pages 231-262, April.
    13. Sarno, Lucio & Taylor, Mark P. & Chowdhury, Ibrahim, 2004. "Nonlinear dynamics in deviations from the law of one price: a broad-based empirical study," Journal of International Money and Finance, Elsevier, vol. 23(1), pages 1-25, February.
    14. Diego Martinez-Lopez, 2006. "Linking Public Investment to Private Investment. The Case of Spanish Regions," International Review of Applied Economics, Taylor & Francis Journals, vol. 20(4), pages 411-423.
    15. Evren Erdogan Cosar, 2002. "Price and Income Elasticities of Turkish Export Demand : A Panel Data Application," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 2(2), pages 19-53.
    16. Noman, Abdullah, 2008. "Testing for PPP in the Mean-Group Panel Regression Framework: Further Evidence," MPRA Paper 7825, University Library of Munich, Germany.
    17. MG. Ladu, 2006. "Total Factor Productivity Estimates: Some Evidence from European Regions," Working Paper CRENoS 200606, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    18. Snaith, Stuart, 2012. "The PPP debate: Multiple breaks and cross-sectional dependence," Economics Letters, Elsevier, vol. 115(3), pages 342-344.
    19. Yi-Hua Wu & Eric Lin, 2011. "Does purchasing power parity hold following the launch of the euro? Evidence from the panel unit root test," Applied Economics Letters, Taylor & Francis Journals, vol. 18(2), pages 167-172.
    20. Karlsson, Sune & Lothgren, Mickael, 2000. "On the power and interpretation of panel unit root tests," Economics Letters, Elsevier, vol. 66(3), pages 249-255, March.
    21. Adrian R. Bell & Chris Brooks & Tony K. Moore, 2017. "Did Purchasing Power Parity Hold in Medieval Europe?," Manchester School, University of Manchester, vol. 85(6), pages 682-709, December.
    22. Esaka, Taro, 2003. "Panel unit root tests of purchasing power parity between Japanese cities, 1960-1998: disaggregated price data," Japan and the World Economy, Elsevier, vol. 15(2), pages 233-244, April.
    23. Georgios E. Chortareas & Rebecca L. Driver, 2001. "PPP and the real exchange rate-real interest rate differential puzzle revisited: evidence from non-stationary panel data," Bank of England working papers 138, Bank of England.
    24. A. Oznur Umit, 2016. "Stationarity of Real Exchange Rates in the ¡°Fragile Five¡±: Analysis with Structural Breaks," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(4), pages 254-270, April.
    25. Breitung, Jörg & Pesaran, Mohammad Hashem, 2005. "Unit roots and cointegration in panels," Discussion Paper Series 1: Economic Studies 2005,42, Deutsche Bundesbank.
    26. Guglielmo Maria Caporale & Mario Cerrato, 2004. "Panel Data Tests Of Ppp: A Critical Overview," Economics and Finance Discussion Papers 04-18, Economics and Finance Section, School of Social Sciences, Brunel University.
    27. Noman, Abdullah, 2008. "Purchasing Power Parity in South Asia: A Panel Data Approach," MPRA Paper 7824, University Library of Munich, Germany.
    28. Lucio Sarno & Mark P. Taylor, 2002. "Purchasing Power Parity and the Real Exchange Rate," IMF Staff Papers, Palgrave Macmillan, vol. 49(1), pages 1-5.
    29. Ata Assaf, 2006. "Nonlinear Trend Stationarity in Real Exchange Rates: Evidence from Nonlinear ADF tests," Annals of Economics and Finance, Society for AEF, vol. 7(2), pages 283-294, November.
    30. Rebecca L Driver & Peter F Westaway, 2005. "Concepts of equilibrium exchange rates," Bank of England working papers 248, Bank of England.
    31. Badi H. Baltagi & Chihwa Kao, 2000. "Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey," Center for Policy Research Working Papers 16, Center for Policy Research, Maxwell School, Syracuse University.
    32. Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2012. "Purchasing Power Parity between the UK and the Euro Area," Working papers 2012-46, University of Connecticut, Department of Economics.
    33. Giorgio Canarella & Stephen Miller & Stephen Pollard, 2014. "Purchasing Power Parity Between the UK and Germany: The Euro Era," Open Economies Review, Springer, vol. 25(4), pages 677-699, September.
    34. Lau, Chi Keung Marco & Suvankulov, Farrukh & Su, Yongyang & Chau, Frankie, 2012. "Some cautions on the use of nonlinear panel unit root tests: Evidence from a modified series-specific non-linear panel unit-root test," Economic Modelling, Elsevier, vol. 29(3), pages 810-816.
    35. Chee-Keong Choong & Wai-Ching Poon & Muzafar Shah Habibullah & Zulkornain Yusop, 2003. "The Validity of PPP Theory in ASEAN-Five: Another Look on Cointegration and Panel Data Analysis," International Trade 0309018, University Library of Munich, Germany.
    36. David E. Rapach, 2002. "Are Real GDP Levels Nonstationary? Evidence from Panel Data Tests," Southern Economic Journal, John Wiley & Sons, vol. 68(3), pages 473-495, January.
    37. Coppola,Andrea & Lagerborg,Andresa & Mustafaoglu,Zafer, 2016. "Estimating an equilibrium exchange rate for the Argentine Peso," Policy Research Working Paper Series 7682, The World Bank.
    38. R. Pala & E. Marrocu & R. Paci, 2000. "Estimation of total factor productivity for regions and sectors in Italy. A panel cointegration approach," Working Paper CRENoS 200016, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    39. Anwar Al-Gasaymeh & John Kasem, 2016. "Long-Run Purchasing Power Parity And Exchange Rates: Evidence From The Middle East," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 10(2), pages 41-53.
    40. Coakley, Jerry & Kellard, Neil & Snaith, Stuart, 2005. "The PPP debate: Price matters!," Economics Letters, Elsevier, vol. 88(2), pages 209-213, August.
    41. Sweeney, Richard J., 2006. "Mean Reversion in G-10 Nominal Exchange Rates," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(3), pages 685-708, September.
    42. Vishal Jaunky, 2013. "Democracy and economic growth in Sub-Saharan Africa: a panel data approach," Empirical Economics, Springer, vol. 45(2), pages 987-1008, October.
    43. Holmes, Mark J., 2002. "Does long-run real interest parity hold among EU countries? Some new panel data evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(4), pages 733-746.
    44. Holmes, Mark J. & Dutu, Richard & Cui, Xiaoman, 2009. "Real interest rates, inflation and the open economy: A regime-switching perspective on Australia and New Zealand," International Review of Economics & Finance, Elsevier, vol. 18(2), pages 351-360, March.
    45. 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.
    46. Chiu, Ru-Lin, 2002. "Testing the purchasing power parity in panel data," International Review of Economics & Finance, Elsevier, vol. 11(4), pages 349-362.
    47. Jose Eduardo de A. Ferreira, 2006. "Effects of Fundamentals on the Exchange Rate: A Panel Analysis for a Sample of Industrialised and Emerging Economies," Studies in Economics 0603, School of Economics, University of Kent.
    48. Holmes, Mark J., 2001. "New Evidence on Real Exchange Rate Stationarity and Purchasing Power Parity in Less Developed Countries," Journal of Macroeconomics, Elsevier, vol. 23(4), pages 601-614, October.
    49. Syed A. Basher & Josep Lluís Carrion-i-Silvestre, 2007. "Another Look at the Null of Stationary RealExchange Rates. Panel Data with Structural Breaks and Cross-section Dependence," IREA Working Papers 200710, University of Barcelona, Research Institute of Applied Economics, revised May 2007.
    50. Ntokozo Patrick Nzimande & Marcel Kohler, 2016. "On the Validity of Purchasing Power Parity: Evidence from Energy Exporting Sub-Saharan Africa Countries," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 66(3), pages 71-82, July-Sept.
    51. Mkenda, Beatrice Kalinda, 2001. "An Empirical Test of Purchasing Power Parity in Selected African Countries - a Panel Data Approach," Working Papers in Economics 39, University of Gothenburg, Department of Economics.
    52. Ibhagui, Oyakhilome W., 2019. "Does the long-run monetary model hold for Sub-Saharan Africa? A time series and panel-cointegration study," Research in International Business and Finance, Elsevier, vol. 47(C), pages 279-303.
    53. Fleissig, Adrian R. & Strauss, Jack, 1999. "Is OECD real per capita GDP trend or difference stationary? Evidence from panel unit root tests," Journal of Macroeconomics, Elsevier, vol. 21(4), pages 673-689.
    54. Saeed Heravi & Kerry Patterson, 2005. "Optimal And Adaptive Semi‐Parametric Narrowband And Broadband And Maximum Likelihood Estimation Of The Long‐Memory Parameter For Real Exchange Rates," Manchester School, University of Manchester, vol. 73(2), pages 165-213, March.
    55. Herwartz Helmut & Roestel Jan, 2018. "Local/import – and foreign currency prices: inflation, uncertainty and pass through endogeneity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(3), pages 1-17, June.
    56. Maria Gabriela Ladu, 2010. "Total Factor Productivity Estimates: Some Evidence from European Regions," WIFO Working Papers 380, WIFO.
    57. Ashok Parikh & Elizabeth Wakerly, 2000. "Real exchange rates and unit root tests," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 136(3), pages 478-490, September.
    58. Lean Hooi Hooi & Russell Smyth, 2007. "Are Asian real exchange rates mean reverting? Evidence from univariate and panel LM unit root tests with one and two structural breaks," Applied Economics, Taylor & Francis Journals, vol. 39(16), pages 2109-2120.
    59. Christina Anderl & Guglielmo Maria Caporale, 2021. "Nonlinearities and asymmetric adjustment to PPP in an exchange rate model with inflation expectations," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 49(6), pages 937-959, August.
    60. Holmes, Mark J., 2001. "Some new evidence on exchange rates, capital controls and European Union financial integration," International Review of Economics & Finance, Elsevier, vol. 10(2), pages 135-146.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.