Nonparametric Multiple Change Point Analysis of the Global Financial Crisis
This paper presents an application of a recently developed approach by Matteson and James (2012) for the analysis of change points in a data set, namely major financial market indices converted to financial return series. The general problem concerns the inference of a change in the distribution of a set of time-ordered variables. The approach involves the nonparametric estimation of both the number of change points and the positions at which they occur. The approach is general and does not involve assumptions about the nature of the distributions involved or the type of change beyond the assumption of the existence of the absolute moment, for some 2 (0; 2). The estimation procedure is based on hierarchical clustering and the application of both divisive and agglomerative algorithms. The method is used to evaluate the impact of the Global Financial Crisis (GFC) on the US, French, German, UK, Japanese and Chinese markets, as represented by the S&P500, CAC, DAX, FTSE All Share, Nikkei 225 and Shanghai A share Indices, respectively, from 2003 to 2013. The approach is used to explore the timing and number of change points in the datasets corresponding to the GFC and subsequent European Debt Crisis.
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- HEINEN, Andréas & VALDESOGO, Alfonso, 2009. "Asymmetric CAPM dependence for large dimensions: the Canonical Vine Autoregressive Model," CORE Discussion Papers 2009069, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- David E. Allena & Ron Amrama & Michael McAleer, 2011.
"Volatility Spillovers from the Chinese Stock Market to Economic Neighbours,"
Working Papers in Economics
11/42, University of Canterbury, Department of Economics and Finance.
- Allen, David E. & Amram, Ron & McAleer, Michael, 2013. "Volatility spillovers from the Chinese stock market to economic neighbours," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 238-257.
- David E. Allen & Ron Amram & Michael McAleer, 2011. "Volatility Spillovers from the Chinese Stock Market to Economic Neighbours," Documentos de Trabajo del ICAE 2011-38, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Allen, D.E. & McAleer, M.J. & Amran, R., 2011. "Volatility Spillovers from the Chinese Stock Market to Economic Neighbours," Econometric Institute Research Papers EI 2011-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Michael McAleer & David Allen & Ron Amram, 2011. "Volatility Spillovers from the Chinese Stock Market to Economic Neighbours," KIER Working Papers 805, Kyoto University, Institute of Economic Research.
- J. Andrew Coutts & Terence Mills & Jennifer Roberts, 1995. "Misspecification of the market model: the implications for event studies," Applied Economics Letters, Taylor & Francis Journals, vol. 2(5), pages 163-165.
- Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March.
- Diebold, Francis X & Rudebusch, Glenn D, 1996.
"Measuring Business Cycles: A Modern Perspective,"
The Review of Economics and Statistics,
MIT Press, vol. 78(1), pages 67-77, February.
- Chrismin Tang & Mardi Dungey & Vance Martin & Brenda GonzÃ¡lez-Hermosillo & Renee Fry, 2010.
"Are Financial Crises Alike?,"
IMF Working Papers
10/14, International Monetary Fund.
- CHOLLETE, Loran & HEINEN, Andréas & VALDESOGO, Alfonso, 2008.
"Modeling international financial returns with a multivariate regime switching copula,"
CORE Discussion Papers
2008013, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Lorán Chollete & Andréas Heinen & Alfonso Valdesogo, 2009. "Modeling International Financial Returns with a Multivariate Regime-switching Copula," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 7(4), pages 437-480, Fall.
- Chollete, Loran & Heinen, Andreas & Valdesogo, Alfonso, 2008. "Modeling International Financial Returns with a Multivariate Regime Switching Copula," MPRA Paper 8114, University Library of Munich, Germany.
- Loran , CHOLLETTE & Andreas , HEINEN & Alfonso , VALDESOGO, 2008. "Modelling international financial returns with a multivariate regime switching copula," Discussion Papers (ECON - Département des Sciences Economiques) 2008011, Université catholique de Louvain, Département des Sciences Economiques.
- Chollete, Lorán & Heinen, Andréas & Valdesogo, Alfonso, 2008. "Modeling International Financial Returns with a Multivariate Regime Switching Copula," Discussion Papers 2008/3, Department of Business and Management Science, Norwegian School of Economics.
- Smith, Michael & Min, Aleksey & Almeida, Carlos & Czado, Claudia, 2010. "Modeling Longitudinal Data Using a Pair-Copula Decomposition of Serial Dependence," Journal of the American Statistical Association, American Statistical Association, vol. 105(492), pages 1467-1479.
- James H. Stock & Mark W. Watson, 1993. "Business Cycles, Indicators and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number stoc93-1, May.
- Baillie, Richard T. & Bollerslev, Tim & Mikkelsen, Hans Ole, 1996.
"Fractionally integrated generalized autoregressive conditional heteroskedasticity,"
Journal of Econometrics,
Elsevier, vol. 74(1), pages 3-30, September.
- Tom Doan, . "RATS programs to replicate Baillie, Bollerslev, Mikkelson FIGARCH results," Statistical Software Components RTZ00009, Boston College Department of Economics.
- Joe, Harry & Li, Haijun & Nikoloulopoulos, Aristidis K., 2010. "Tail dependence functions and vine copulas," Journal of Multivariate Analysis, Elsevier, vol. 101(1), pages 252-270, January.
- A. Craig MacKinlay, 1997. "Event Studies in Economics and Finance," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 13-39, March.
- Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1, May.
- Fama, Eugene F, et al, 1969. "The Adjustment of Stock Prices to New Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 10(1), pages 1-21, February.
- repec:sae:ecolab:v:16:y:2006:i:2:p:1-2 is not listed on IDEAS
- Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-33, March.
- Makram Talih & Nicolas Hengartner, 2005. "Structural learning with time-varying components: tracking the cross-section of financial time series," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(3), pages 321-341.
- Beatriz Mendes & Mariângela Semeraro & Ricardo Leal, 2010. "Pair-copulas modeling in finance," Financial Markets and Portfolio Management, Springer, vol. 24(2), pages 193-213, June.
- James H. Stock & Mark W. Watson, 1993. "Introduction to "Business Cycles, Indicators and Forecasting"," NBER Chapters, in: Business Cycles, Indicators and Forecasting, pages 1-10 National Bureau of Economic Research, Inc.
- Daniel Berg, 2009. "Copula goodness-of-fit testing: an overview and power comparison," The European Journal of Finance, Taylor & Francis Journals, vol. 15(7-8), pages 675-701.
- Aas, Kjersti & Czado, Claudia & Frigessi, Arnoldo & Bakken, Henrik, 2009. "Pair-copula constructions of multiple dependence," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 182-198, April.
- Stock, James H. & Watson, Mark W. (ed.), 1993. "Business Cycles, Indicators, and Forecasting," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226774886, September.
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