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Volatility Threshold Dynamic Conditional Correlations: An International Analysis

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Author Info
Maria Kasch () (University of Bonn)
Massimiliano Caporin () (Università di Padova)

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Abstract

We extend the Dynamic Conditional Correlation multivariate GARCH specification to investigate the dynamic contemporaneous relationship between correlations and variances of the underlying assets. We present a generalization of the DCC model where the dynamic behavior depends on the assets variances through a threshold structure. Our purpose is to analyze the behavior of correlations in periods of high volatility. The application of the proposed specification to a sample of markets heterogeneous in the levels of their development allows the identification of market pairs whose correlations show low sensitivity to high underlying volatility.

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Paper provided by Dipartimento di Scienze Economiche "Marco Fanno" in its series "Marco Fanno" Working Papers with number 0065.

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Length: 52 pages
Date of creation: 2008
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Handle: RePEc:pad:wpaper:0065

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Related research
Keywords: dynamic correlations thresholds volatility thresholds spillovers

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Find related papers by JEL classification:
C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation
G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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  2. Sébastien Laurent & Luc Bauwens & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109. [Downloadable!]
  3. Kroner, Kenneth F & Ng, Victor K, 1998. "Modeling Asymmetric Comovements of Asset Returns," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 11(4), pages 817-44.
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  5. Monica Billio & Massimiliano Caporin & Michele Gobbo, 2006. "Flexible Dynamic Conditional Correlation multivariate GARCH models for asset allocation," Applied Financial Economics Letters, Taylor and Francis Journals, vol. 2(2), pages 123-130, March. [Downloadable!] (restricted)
  6. Lorenzo Cappiello & Robert F. Engle & Kevin Sheppard, 2006. "Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns," Journal of Financial Econometrics, Oxford University Press, vol. 4(4), pages 537-572. [Downloadable!] (restricted)
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  7. Reinhart, Carmen & Calvo, Sara, 1996. "Capital Flows to Latin America: Is There Evidence of Contagion Effects?”," MPRA Paper 7124, University Library of Munich, Germany. [Downloadable!]
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  8. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September. [Downloadable!] (restricted)
  9. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-70, March. [Downloadable!] (restricted)
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  11. Pelletier, Denis, 2006. "Regime switching for dynamic correlations," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 445-473. [Downloadable!] (restricted)
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  12. Rabemananjara, R & Zakoian, J M, 1993. "Threshold Arch Models and Asymmetries in Volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(1), pages 31-49, Jan.-Marc. [Downloadable!] (restricted)
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  14. Bekaert, Geert & Wu, Guojun, 2000. "Asymmetric Volatility and Risk in Equity Markets," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 13(1), pages 1-42.
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  15. C.M. Hafner & P.H. Franses, 2003. "A generalized dynamic conditional correlation model for many asset returns," Econometric Institute Report 323, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
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