Flexible Dynamic Conditional Correlation multivariate GARCH models for asset allocation
AbstractThis paper introduces the Flexible Dynamic Conditional Correlation (FDCC) multivariate GARCH model which generalizes the Dynamic Conditional Correlation (DCC) multivariate GARCH model proposed by Engle (2002). The FDCC model relax the assumption of common dynamics among all assets used in the DCC model. In fact, we cannot impose that the correlation dynamics of, say, European sectorial stock indexes are identical to the corresponding US ones. We thus extend the DCC model introducing a block-diagonal structure; in the FDCC the dynamics are constrained to be equal among groups of variables. We present an application to a sectorial asset allocation problem.
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Bibliographic InfoArticle provided by Taylor and Francis Journals in its journal Applied Financial Economics Letters.
Volume (Year): 2 (2006)
Issue (Month): 2 (March)
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- Robert F. Engle & Kevin Sheppard, 2001.
"Theoretical and Empirical properties of Dynamic Conditional Correlation Multivariate GARCH,"
NBER Working Papers
8554, National Bureau of Economic Research, Inc.
- Engle, Robert F & Sheppard, Kevin K, 2001. "Theoretical and Empirical Properties of Dynamic Conditional Correlation Multivariate GARCH," University of California at San Diego, Economics Working Paper Series qt5s2218dp, Department of Economics, UC San Diego.
- Steve Satchell & Soosung Hwang, 2001.
"GARCH Model with Cross-sectional Volatility; GARCHX Models,"
wp01-16, Warwick Business School, Financial Econometrics Research Centre.
- Soosung Hwang & Steve Satchell, 2005. "GARCH model with cross-sectional volatility: GARCHX models," Applied Financial Economics, Taylor and Francis Journals, vol. 15(3), pages 203-216.
- Helen Higgs & Andrew Worthington, 2004. "Transmission of returns and volatility in art markets: a multivariate GARCH analysis," Applied Economics Letters, Taylor and Francis Journals, vol. 11(4), pages 217-222.
- Hafner, C.M. & Franses, Ph.H.B.F., 2003. "A generalized dynamic conditional correlation model for many asset returns," Econometric Institute Report EI 2003-18, Erasmus University Rotterdam, Econometric Institute.
- Tak-Kee Hui, 2005. "Portfolio diversification: a factor analysis approach," Applied Financial Economics, Taylor and Francis Journals, vol. 15(12), pages 821-834.
- Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(01), pages 122-150, February.
- Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
- Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
- James Chong, 2004. "Options trading profits from correlation forecasts," Applied Financial Economics, Taylor and Francis Journals, vol. 14(15), pages 1075-1085.
- David Morelli, 2003. "Capital asset pricing model on UK securities using ARCH," Applied Financial Economics, Taylor and Francis Journals, vol. 13(3), pages 211-223.
- Bollerslev, Tim & Engle, Robert F. & Nelson, Daniel B., 1986. "Arch models," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 49, pages 2959-3038 Elsevier.
- Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
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