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Spillovers across High Yield Markets

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  • Julius Moschitz

Abstract

This paper studies the time-variant interactions among US stocks, emerging market bonds and US low-grade corporate bonds. All of these assets are characterized by a similar average return, but returns are far from being perfectly correlated. Therefore, investing in these different assets provides substantial diversification benefits. What is more, most correlations among assets do not increase, rather decrease, during financial crisis.

Suggested Citation

  • Julius Moschitz, 2004. "Spillovers across High Yield Markets," Finance 0412024, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpfi:0412024
    Note: Type of Document - pdf; pages: 43
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    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/fin/papers/0412/0412024.pdf
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    References listed on IDEAS

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    1. Kaminsky, Graciela L. & Reinhart, Carmen M., 2002. "Financial markets in times of stress," Journal of Development Economics, Elsevier, vol. 69(2), pages 451-470, December.
    2. Hamilton, James D & Gang, Lin, 1996. "Stock Market Volatility and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 573-593, Sept.-Oct.
    3. Fleming, Jeff & Kirby, Chris & Ostdiek, Barbara, 1998. "Information and volatility linkages in the stock, bond, and money markets," Journal of Financial Economics, Elsevier, vol. 49(1), pages 111-137, July.
    4. 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 357-384, March.
    5. Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-131, February.
    6. Roberto Rigobon & Brian Sack, 2003. "Spillovers Across U.S. Financial Markets," NBER Working Papers 9640, National Bureau of Economic Research, Inc.
    7. Hansen, B.E., 1991. "The Likelihood Test Under Non-Standard Conditions: Testing the Markov Trend Model of GNP," RCER Working Papers 279, University of Rochester - Center for Economic Research (RCER).
    8. 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.
    9. Ramchand, Latha & Susmel, Raul, 1998. "Volatility and cross correlation across major stock markets," Journal of Empirical Finance, Elsevier, vol. 5(4), pages 397-416, October.
    10. Hamilton, James D. & Susmel, Raul, 1994. "Autoregressive conditional heteroskedasticity and changes in regime," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 307-333.
    11. Sebastian Edwards & Raul Susmel, 2003. "Interest-Rate Volatility in Emerging Markets," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 328-348, May.
    12. Campbell R. Harvey & Akhtar Siddique, 2000. "Conditional Skewness in Asset Pricing Tests," Journal of Finance, American Finance Association, vol. 55(3), pages 1263-1295, June.
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    Cited by:

    1. Felices, Guillermo & Grisse, Christian & Yang, Jing, 2009. "International financial transmission: emerging and mature markets," Bank of England working papers 373, Bank of England.

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    More about this item

    Keywords

    Asset allocation; Financial crisis; Time-varying correlations; Regime-switching models; Emerging market bonds; Corporate bonds; Stock market.;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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