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Multivariate Regime–Switching GARCH with an Application to International Stock Markets

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Author Info
Markus Haas () (University of Munich, Institute of Statistics)
Stefan Mittnik (Department of Statistics, University of Munich, Center for Financial Studies, Frankfurt, and Ifo Institute for Economic Research, Munich)

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Abstract

We develop a multivariate generalization of the Markov–switching GARCH model introduced by Haas, Mittnik, and Paolella (2004b) and derive its fourth–moment structure. An application to international stock markets illustrates the relevance of accounting for volatility regimes from both a statistical and economic perspective, including out–of–sample portfolio selection and computation of Value–at–Risk.

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Publisher Info
Paper provided by Center for Financial Studies in its series CFS Working Paper Series with number 2008/08.

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Length: 48 pages
Date of creation: Jan 2008
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Handle: RePEc:cfs:cfswop:wp200808

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Related research
Keywords: Conditional Volatility Markov–Switching Multivariate GARCH

Find related papers by JEL classification:
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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  1. Eric Jondeau & Michael Rockinger, 2005. "Conditional Asset Allocation under Non-Normality: How Costly is the Mean-Variance Criterion?," FAME Research Paper Series rp132, International Center for Financial Asset Management and Engineering. [Downloadable!]
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This page was last updated on 2008-12-13.


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