Tracking a changing copula
A copula models the relationships between variables independently of their marginal distributions. When the variables are time series, the copula may change over time. Recursive procedures based on indicator variables are proposed for tracking these changes over time. Estimation of the unknown parameters is by maximum likelihood. When the marginal distributions change, pre-filtering is necessary before constructing the indicator variables on which the recursions are based. This entails estimating time-varying quantiles and a simple method based on time-varying histograms is proposed. The techniques are applied to the Hong Kong and Korean stock market indices. Some interesting and unexpected movements are detected, particularly after the attack on the Hong Kong dollar in 1997.
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- Kee-Hong Bae & G. Andrew Karolyi & Rene M. Stulz, 2001.
"A new approach to measuring financial contagion,"
743, Federal Reserve Bank of Chicago.
- Jean-David FERMANIAN & Olivier SCAILLET, 2003. "Nonparametric Estimation of Copulas for Time Series," FAME Research Paper Series rp57, International Center for Financial Asset Management and Engineering.
- DeRossi, G. & Harvey, A., 2007.
"Quantiles, Expectiles and Splines,"
Cambridge Working Papers in Economics
0702, Faculty of Economics, University of Cambridge.
- Fabio Busetti & Andrew Harvey, 2011.
"When is a Copula Constant? A Test for Changing Relationships,"
Journal of Financial Econometrics,
Society for Financial Econometrics, vol. 9(1), pages 106-131, Winter.
- Busetti, F. & Harvey, A., 2008. "When is a copula constant? A test for changing relationships," Cambridge Working Papers in Economics 0841, Faculty of Economics, University of Cambridge.
- Vance L. Martin & Brenda Gonzalez-Hermosillo, & Mardi Dungey & Renee A. Fry, 2004.
"Empirical Modelling of Contagion: A Review of Methodologies,"
Econometric Society 2004 Australasian Meetings
243, Econometric Society.
- Mardi Dungey & Renee Fry & Brenda Gonzalez-Hermosillo & Vance Martin, 2005. "Empirical modelling of contagion: a review of methodologies," Quantitative Finance, Taylor & Francis Journals, vol. 5(1), pages 9-24.
- Mardi Dungey & Renee Fry & Vance Martin & Brenda Gonzalez-Hermosillo, 2004. "Empirical Modeling of Contagion; A Review of Methodologies," IMF Working Papers 04/78, International Monetary Fund.
- Martin, V. & Dungey & M., 2004. "Empirical Modelling of Contagion: A Review of Methodologies," Econometric Society 2004 Far Eastern Meetings 574, Econometric Society.
- Kim, Tae-Hwan & White, Halbert, 2004. "On more robust estimation of skewness and kurtosis," Finance Research Letters, Elsevier, vol. 1(1), pages 56-73, March.
- Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, Elsevier.
- DeRossi, G. & Harvey, A., 2006. "Time-Varying Quantiles," Cambridge Working Papers in Economics 0649, Faculty of Economics, University of Cambridge.
- van den Goorbergh, Rob W.J. & Genest, Christian & Werker, Bas J.M., 2005. "Bivariate option pricing using dynamic copula models," Insurance: Mathematics and Economics, Elsevier, vol. 37(1), pages 101-114, August.
- Jondeau, Eric & Rockinger, Michael, 2003. "Conditional volatility, skewness, and kurtosis: existence, persistence, and comovements," Journal of Economic Dynamics and Control, Elsevier, vol. 27(10), pages 1699-1737, August.
- Harvey, A., 2008. "Dynamic distributions and changing copulas," Cambridge Working Papers in Economics 0839, Faculty of Economics, University of Cambridge.
- Andrew Patton, 2004.
"Modelling Asymmetric Exchange Rate Dependence,"
wp04-04, Warwick Business School, Finance Group.
- Rodriguez, Juan Carlos, 2007. "Measuring financial contagion: A Copula approach," Journal of Empirical Finance, Elsevier, vol. 14(3), pages 401-423, June.
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