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Do Time-Varying Covariances, Volatility Comovement and Spillover Matter?

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Author Info
Lakshmi Balasubramanyan (Penn State University)
Abstract

Financial markets and their respective assets are so intertwined; analyzing any single market in isolation ignores important information. We investigate whether time varying volatility comovement and spillover impact the true variance-covariance matrix under a time-varying correlation set up. Statistically significant volatility spillover and comovement between US, UK and Japan is found. To demonstrate the importance of modelling volatility comovement and spillover, we look at a simple portfolio optimization application. A utility based comparison is used to evaluate the economic performance of the portfolio which considers time varying correlation with volatility comovement and spillover. This paper shows that a portfolio strategy incorporating time-varying correlation with asymmetric volatility comovement and spillover outperforms the constant correlation model without comovement and spillover by yielding the highest level of wealth and utility difference of up to 250 basis points.

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Paper provided by EconWPA in its series Finance with number 0509002.

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Length: 28 pages
Date of creation: 04 Sep 2005
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Handle: RePEc:wpa:wuwpfi:0509002

Note: Type of Document - pdf; pages: 28
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Web page: http://129.3.20.41

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Find related papers by JEL classification:
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions
F3 - International Economics - - International Finance
G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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References listed on IDEAS
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  1. Fratzscher, M., 2001. "Financial Market Integration in Europe: On the Effects of EMU on Stock Markets," Papers 48, Quebec a Montreal - Recherche en gestion.
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  2. King, Mervyn A & Wadhwani, Sushil, 1990. "Transmission of Volatility between Stock Markets," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 3(1), pages 5-33. [Downloadable!] (restricted)
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  3. Laurent E. Calvet & Adlai J. Fisher & Samuel B. Thompson, 2004. "Volatility Comovement: A Multifrequency Approach," NBER Technical Working Papers 0300, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  4. Bae, Kee-Hong & Andrew Karolyi, G., 1994. "Good news, bad news and international spillovers of stock return volatility between Japan and the U.S," Pacific-Basin Finance Journal, Elsevier, vol. 2(4), pages 405-438, December. [Downloadable!] (restricted)
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  5. 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. [Downloadable!] (restricted)
  6. Fleming, Jeff & Kirby, Chris & Ostdiek, Barbara, 2003. "The economic value of volatility timing using "realized" volatility," Journal of Financial Economics, Elsevier, vol. 67(3), pages 473-509, March. [Downloadable!] (restricted)
  7. Koutmos, Gregory & Booth, G Geoffrey, 1995. "Asymmetric volatility transmission in international stock markets," Journal of International Money and Finance, Elsevier, vol. 14(6), pages 747-762, December. [Downloadable!] (restricted)
  8. Kevin Sheppard & Robert F. Engle & Lorenzo Cappiello, 2003. "Asymmetric dynamics in the correlations of global equity and bond returns," Working Paper Series 204, European Central Bank. [Downloadable!]
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