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Measuring financial contagion: A Copula approach

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Cited by:

  1. Chollete, Lorán & Heinen, Andreas, 2006. "Frequent Turbulence? A Dynamic Copula Approach," Discussion Papers 2006/10, Norwegian School of Economics, Department of Business and Management Science.
  2. Abduraimova, Kumushoy, 2022. "Contagion and tail risk in complex financial networks," Journal of Banking & Finance, Elsevier, vol. 143(C).
  3. Bücher, Axel & Ruppert, Martin, 2013. "Consistent testing for a constant copula under strong mixing based on the tapered block multiplier technique," Journal of Multivariate Analysis, Elsevier, vol. 116(C), pages 208-229.
  4. Gallegati, Marco, 2012. "A wavelet-based approach to test for financial market contagion," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3491-3497.
  5. Sehgal, Sanjay & Pandey, Piyush & Diesting, Florent, 2017. "Examining dynamic currency linkages amongst South Asian economies: An empirical study," Research in International Business and Finance, Elsevier, vol. 42(C), pages 173-190.
  6. Jinan Liu & Apostolos Serletis, 2023. "Volatility and dependence in energy markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(1), pages 15-37, March.
  7. Anna Pavlova & Roberto Rigobon, 2008. "The Role of Portfolio Constraints in the International Propagation of Shocks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(4), pages 1215-1256.
  8. Ruenzi, Stefan & Ungeheuer, Michael & Weigert, Florian, 2020. "Joint Extreme events in equity returns and liquidity and their cross-sectional pricing implications," Journal of Banking & Finance, Elsevier, vol. 115(C).
  9. el Alaoui, AbdelKader O. & Ismath Bacha, Obiyathulla & Masih, Mansur & Asutay, Mehmet, 2017. "Leverage versus volatility: Evidence from the capital structure of European firms," Economic Modelling, Elsevier, vol. 62(C), pages 145-160.
  10. Dimitriou, Dimitrios & Kenourgios, Dimitris, 2013. "Financial crises and dynamic linkages among international currencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 319-332.
  11. Michael Beenstock & Mahmood Khatib, 2018. "Contagion And Correlation In Empirical Models Of Bank Credit Risk In Israel," Israel Economic Review, Bank of Israel, vol. 15(1), pages 1-34.
  12. Fermanian, Jean-David & Lopez, Olivier, 2018. "Single-index copulas," Journal of Multivariate Analysis, Elsevier, vol. 165(C), pages 27-55.
  13. Chen, Rongda & Wu, Ling & Jin, Chenglu & Wang, Shengnan, 2021. "Unintended investor sentiment on bank financial products: Evidence from China," Emerging Markets Review, Elsevier, vol. 49(C).
  14. Dewandaru, Ginanjar & Masih, Rumi & Masih, A. Mansur M., 2015. "Why is no financial crisis a dress rehearsal for the next? Exploring contagious heterogeneities across major Asian stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 241-259.
  15. Ferreiro Javier Ojea, 2019. "Structural change in the link between oil and the European stock market: implications for risk management," Dependence Modeling, De Gruyter, vol. 7(1), pages 53-125, January.
  16. Gregor Weiß, 2011. "Copula parameter estimation by maximum-likelihood and minimum-distance estimators: a simulation study," Computational Statistics, Springer, vol. 26(1), pages 31-54, March.
  17. Mokni, Khaled & Youssef, Manel, 2019. "Measuring persistence of dependence between crude oil prices and GCC stock markets: A copula approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 72(C), pages 14-33.
  18. Zied Ftiti & Aviral Tiwari & Amél Belanès & Khaled Guesmi, 2014. "Tests of Financial Market Contagion: Evolutionary Cospectral Analysis V.S. Wavelet Analysis," Working Papers 2014-577, Department of Research, Ipag Business School.
  19. Jianping Li & Xiaoqian Zhu & Cheng-Few Lee & Dengsheng Wu & Jichuang Feng & Yong Shi, 2015. "On the aggregation of credit, market and operational risks," Review of Quantitative Finance and Accounting, Springer, vol. 44(1), pages 161-189, January.
  20. Małgorzata Doman & Ryszard Doman, 2013. "Dynamic linkages between stock markets: the effects of crises and globalization," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 12(2), pages 87-112, August.
  21. Peter J. Danaher & Michael S. Smith, 2011. "Rejoinder--Estimation Issues for Copulas Applied to Marketing Data," Marketing Science, INFORMS, vol. 30(1), pages 25-28, 01-02.
  22. Saiful Izzuan Hussain & Steven Li, 2018. "The dynamic dependence between stock markets in the greater China economic area: a study based on extreme values and copulas," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(2), pages 207-233, May.
  23. Bernardi, Mauro & Catania, Leopoldo, 2018. "Portfolio optimisation under flexible dynamic dependence modelling," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 1-18.
  24. Ruenzi, Stefan & Ungeheuer, Michael & Weigert, Florian, 2013. "Extreme Downside Liquidity Risk," Working Papers on Finance 1326, University of St. Gallen, School of Finance, revised Jul 2015.
  25. EnDer Su, 2021. "Testing stock market contagion properties between large and small stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 57(1), pages 147-202, July.
  26. Su, EnDer, 2014. "Measuring Contagion Risk in High Volatility State between Major Banks in Taiwan by Threshold Copula GARCH Model," MPRA Paper 58161, University Library of Munich, Germany.
  27. Jayech, Selma, 2016. "The contagion channels of July–August-2011 stock market crash: A DAG-copula based approach," European Journal of Operational Research, Elsevier, vol. 249(2), pages 631-646.
  28. Baumöhl, Eduard & Shahzad, Syed Jawad Hussain, 2019. "Quantile coherency networks of international stock markets," Finance Research Letters, Elsevier, vol. 31(C), pages 119-129.
  29. Fabio Busetti & Andrew Harvey, 2011. "When is a Copula Constant? A Test for Changing Relationships," Journal of Financial Econometrics, Oxford University Press, vol. 9(1), pages 106-131, Winter.
  30. Mendoza-Velázquez, Alfonso & Galvanovskis, Evalds, 2009. "Introducing the GED-Copula with an application to Financial Contagion in Latin America," MPRA Paper 46669, University Library of Munich, Germany, revised 01 Feb 2010.
  31. Carsten Bormann & Julia Schaumburg & Melanie Schienle, 2016. "Beyond Dimension two: A Test for Higher-Order Tail Risk," Journal of Financial Econometrics, Oxford University Press, vol. 14(3), pages 552-580.
  32. Satish Kumar & Aviral Kumar Tiwari & I. D. Raheem & Qiang Ji, 2020. "Dependence risk analysis in energy, agricultural and precious metals commodities: a pair vine copula approach," Applied Economics, Taylor & Francis Journals, vol. 52(28), pages 3055-3072, June.
  33. Karanasos, Menelaos & Paraskevopoulos, Alexandros G. & Menla Ali, Faek & Karoglou, Michail & Yfanti, Stavroula, 2014. "Modelling stock volatilities during financial crises: A time varying coefficient approach," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 113-128.
  34. Rizvi, Syed Aun R. & Arshad, Shaista & Alam, Nafis, 2015. "Crises and contagion in Asia Pacific — Islamic v/s conventional markets," Pacific-Basin Finance Journal, Elsevier, vol. 34(C), pages 315-326.
  35. Sunil S. Poshakwale & Anandadeep Mandal, 2017. "Sources of time varying return comovements during different economic regimes: evidence from the emerging Indian equity market," Review of Quantitative Finance and Accounting, Springer, vol. 48(4), pages 859-892, May.
  36. Ya Qian & Wolfgang Karl Härdle & Cathy Yi-Hsuan Chen, 2017. "Industry Interdependency Dynamics in a Network Context," SFB 649 Discussion Papers SFB649DP2017-012, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  37. Kenourgios, Dimitris & Dimitriou, Dimitrios, 2015. "Contagion of the Global Financial Crisis and the real economy: A regional analysis," Economic Modelling, Elsevier, vol. 44(C), pages 283-293.
  38. Azam, Kazim & Pitt, Michael, 2014. "Bayesian Inference for a Semi-Parametric Copula-based Markov Chain," Economic Research Papers 270232, University of Warwick - Department of Economics.
  39. Chun-Pin Hsu & Chin-Wen Huang & Wan-Jiun Chiou, 2012. "Effectiveness of copula-extreme value theory in estimating value-at-risk: empirical evidence from Asian emerging markets," Review of Quantitative Finance and Accounting, Springer, vol. 39(4), pages 447-468, November.
  40. Buse, Rebekka & Schienle, Melanie, 2019. "Measuring connectedness of euro area sovereign risk," International Journal of Forecasting, Elsevier, vol. 35(1), pages 25-44.
  41. Agudelo, Diego A. & Múnera, Daimer J., 2023. "Who are the vectors of contagion? Evidence from emerging markets," International Review of Financial Analysis, Elsevier, vol. 87(C).
  42. Fuchun Li & Hui Zhu, 2014. "Testing for financial contagion based on a nonparametric measure of the cross‐market correlation," Review of Financial Economics, John Wiley & Sons, vol. 23(3), pages 141-147, September.
  43. Albulescu, Claudiu Tiberiu & Tiwari, Aviral Kumar & Ji, Qiang, 2020. "Copula-based local dependence among energy, agriculture and metal commodities markets," Energy, Elsevier, vol. 202(C).
  44. Christensen, Troels Sønderby & Pircalabu, Anca & Høg, Esben, 2019. "A seasonal copula mixture for hedging the clean spark spread with wind power futures," Energy Economics, Elsevier, vol. 78(C), pages 64-80.
  45. Meegan, Andrew & Corbet, Shaen & Larkin, Charles, 2018. "Financial market spillovers during the quantitative easing programmes of the global financial crisis (2007–2009) and the European debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 128-148.
  46. Joe-Ming Lee, 2013. "Measuring the Mutual Fund Industry Risk Management and Performance Sustainability - Quantile Regression Model," Journal of Asian Business Strategy, Asian Economic and Social Society, vol. 3(4), pages 59-68, April.
  47. David Zimmer, 2015. "Asymmetric dependence in house prices: evidence from USA and international data," Empirical Economics, Springer, vol. 49(1), pages 161-183, August.
  48. Gong Jinguo & Shi Daimin & Wu Weiou & McMillan David, 2015. "Non-parametric estimation of copula parameters: testing for time-varying correlation," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(1), pages 93-106, February.
  49. Sharma, Susan Sunila & Narayan, Paresh Kumar & Zheng, Xinwei, 2014. "An analysis of firm and market volatility," Economic Systems, Elsevier, vol. 38(2), pages 205-220.
  50. 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.
  51. Michael S. Smith & Shaun P. Vahey, 2016. "Asymmetric Forecast Densities for U.S. Macroeconomic Variables from a Gaussian Copula Model of Cross-Sectional and Serial Dependence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 416-434, July.
  52. Yangguang Zhu & Feng Yang & Wuyi Ye, 2018. "Financial contagion behavior analysis based on complex network approach," Annals of Operations Research, Springer, vol. 268(1), pages 93-111, September.
  53. Sanjay Sehgal & Piyush Pandey & Florent Deisting, 2018. "Time varying integration amongst the South Asian equity markets: An empirical study," Cogent Economics & Finance, Taylor & Francis Journals, vol. 6(1), pages 1452328-145, January.
  54. Holger Fink & Yulia Klimova & Claudia Czado & Jakob Stober, 2016. "Regime switching vine copula models for global equity and volatility indices," Papers 1604.05598, arXiv.org.
  55. Insel, Aysu & Korkmaz, Abdurrahman, 2010. "The contagion effect: evidences from former Soviet Economies in Eastern Europe," MPRA Paper 24999, University Library of Munich, Germany.
  56. Trapp, Monika & Wewel, Claudio, 2012. "Transatlantic systemic risk," CFR Working Papers 12-10, University of Cologne, Centre for Financial Research (CFR).
  57. Anandadeep Mandal & Sunil S. Poshakwale & Gabriel J. Power, 2021. "Do investors gain from forecasting the asymmetric return co‐movements of financial and real assets?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3246-3268, July.
  58. Dima Rahman, 2014. "Are banking systems increasingly fragile? Investigating financial institutions' CDS returns extreme co-movements," Quantitative Finance, Taylor & Francis Journals, vol. 14(5), pages 805-830, May.
  59. Govindan, Rajesh & Al-Ansari, Tareq, 2019. "Computational decision framework for enhancing resilience of the energy, water and food nexus in risky environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 653-668.
  60. De Lira Salvatierra, Irving & Patton, Andrew J., 2015. "Dynamic copula models and high frequency data," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 120-135.
  61. Wahbeeah Mohti & Andreia Dionísio & Paulo Ferreira & Isabel Vieira, 2019. "Contagion of the Subprime Financial Crisis on Frontier Stock Markets: A Copula Analysis," Economies, MDPI, vol. 7(1), pages 1-14, February.
  62. Kumar, Satish & Tiwari, Aviral Kumar & Raheem, Ibrahim Dolapo & Hille, Erik, 2021. "Time-varying dependence structure between oil and agricultural commodity markets: A dependence-switching CoVaR copula approach," Resources Policy, Elsevier, vol. 72(C).
  63. Claudiu Albulescu & Aviral Tiwari & Qiang Ji, 2020. "Copula-based local dependence between energy, agriculture and metal commodity markets," Papers 2003.04007, arXiv.org.
  64. Tachibana, Minoru, 2022. "Safe haven assets for international stock markets: A regime-switching factor copula approach," Research in International Business and Finance, Elsevier, vol. 60(C).
  65. Wei Zhou, 2017. "Dynamic and Asymmetric Contagion Reactions of Financial Markets During the Last Subprime Crisis," Computational Economics, Springer;Society for Computational Economics, vol. 50(2), pages 207-230, August.
  66. Chang, Kuang-Liang, 2023. "The low-magnitude and high-magnitude asymmetries in tail dependence structures in international equity markets and the role of bilateral exchange rate," Journal of International Money and Finance, Elsevier, vol. 133(C).
  67. Luo, Weiwei & Brooks, Robert D. & Silvapulle, Param, 2011. "Effects of the open policy on the dependence between the Chinese 'A' stock market and other equity markets: An industry sector perspective," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(1), pages 49-74, February.
  68. Kamal, Elham & Bouri, Elie, 2023. "Dependence structure among rare earth and financial markets: A multiscale-vine copula approach," Resources Policy, Elsevier, vol. 83(C).
  69. Valizadeh, Pourya & Karali, Berna & Ferreira, Susana, 2017. "Ripple effects of the 2011 Japan earthquake on international stock markets," Research in International Business and Finance, Elsevier, vol. 41(C), pages 556-576.
  70. Dewandaru, Ginanjar & Masih, Rumi & Masih, A. Mansur M., 2016. "Contagion and interdependence across Asia-Pacific equity markets: An analysis based on multi-horizon discrete and continuous wavelet transformations," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 363-377.
  71. Weigert, Florian, 2013. "Crash Aversion and the Cross-Section of Expected Stock Returns Worldwide," Working Papers on Finance 1325, University of St. Gallen, School of Finance, revised Nov 2015.
  72. Dion Bongaerts & Richard Roll & Dominik Rösch & Mathijs van Dijk & Darya Yuferova, 2022. "How Do Shocks Arise and Spread Across Stock Markets? A Microstructure Perspective," Management Science, INFORMS, vol. 68(4), pages 3071-3089, April.
  73. Mauro Bernardi & Leopoldo Catania, 2015. "Switching-GAS Copula Models With Application to Systemic Risk," Papers 1504.03733, arXiv.org, revised Jan 2016.
  74. Haiying Wang & Ying Yuan & Tianyang Wang, 2021. "The dynamics of cross‐boundary fire—Financial contagion between the oil and stock markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(10), pages 1655-1673, October.
  75. Maziar Sahamkhadam & Andreas Stephan, 2023. "Portfolio optimization based on forecasting models using vine copulas: An empirical assessment for global financial crises," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2139-2166, December.
  76. Diks, Cees & Panchenko, Valentyn & van Dijk, Dick, 2010. "Out-of-sample comparison of copula specifications in multivariate density forecasts," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1596-1609, September.
  77. Jammazi, Rania & Tiwari, Aviral Kr. & Ferrer, Román & Moya, Pablo, 2015. "Time-varying dependence between stock and government bond returns: International evidence with dynamic copulas," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 74-93.
  78. Shahzad, Syed Jawad Hussain & Hernandez, Jose Arreola & Al-Yahyaee, Khamis Hamed & Jammazi, Rania, 2018. "Asymmetric risk spillovers between oil and agricultural commodities," Energy Policy, Elsevier, vol. 118(C), pages 182-198.
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  80. Nguyen, Cuong & Bhatti, M. Ishaq & Komorníková, Magda & Komorník, Jozef, 2016. "Gold price and stock markets nexus under mixed-copulas," Economic Modelling, Elsevier, vol. 58(C), pages 283-292.
  81. Hendriks, Johannes Jurgens & Bonga-Bonga, Lumengo, 2020. "Sectoral dependence and contagion in the BRICS grouping: an application of the R-Vine copulas," MPRA Paper 102473, University Library of Munich, Germany.
  82. Burzala, Milda Maria, 2016. "Contagion effects in selected European capital markets during the financial crisis of 2007–2009," Research in International Business and Finance, Elsevier, vol. 37(C), pages 556-571.
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  89. Trapp, Monika & Wewel, Claudio, 2013. "Transatlantic systemic risk," CFR Working Papers 12-10 [rev.], University of Cologne, Centre for Financial Research (CFR).
  90. Dewandaru, Ginanjar & Masih, Rumi & Masih, Mansur, 2017. "Regional spillovers across transitioning emerging and frontier equity markets: A multi-time scale wavelet analysis," Economic Modelling, Elsevier, vol. 65(C), pages 30-40.
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  118. Julien Chevallier & Florian Ielpo, 2013. "Volatility spillovers in commodity markets," Applied Economics Letters, Taylor & Francis Journals, vol. 20(13), pages 1211-1227, September.
  119. Yang, Lu & Yang, Lei & Hamori, Shigeyuki, 2018. "Determinants of dependence structures of sovereign credit default swap spreads between G7 and BRICS countries," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 19-34.
  120. Ostap Okhrin & Anastasija Tetereva, 2017. "The Realized Hierarchical Archimedean Copula in Risk Modelling," Econometrics, MDPI, vol. 5(2), pages 1-31, June.
  121. Chen, Na & Jin, Xiu, 2020. "Industry risk transmission channels and the spillover effects of specific determinants in China’s stock market: A spatial econometrics approach," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
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  123. Xiuping Ji & Sujuan Wang & Honggen Xiao & Naipeng Bu & Xiaonan Lin, 2022. "Contagion Effect of Financial Markets in Crisis: An Analysis Based on the DCC–MGARCH Model," Mathematics, MDPI, vol. 10(11), pages 1-14, May.
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