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Spillover effects of the sub-prime mortgage crisis to the Asian stock markets

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  • Esta Lestari

    (Centre for Economic Research, Indonesian Institute of Sciences (P2E-LIPI))

Abstract

This paper aims to analyze the effects of the sub-prime mortgage crisis on several Asian stock markets. An Exponential Generalized Autoregressive Conditional Heteroscedasticity (EGARCH) model is employed to provide an empirical evidence of the direct spillover. The indirect effect is measured through the spillover effects from the increased volatility in the U.S. stock markets to the Asian stock markets. The results showed that the market integration occurs within Asian stock markets. Meanwhile the asymmetric effects are evident for all the Asian countries stock markets, indicating that financial markets in Asia are suffered more from negative news (shocks) lead to more volatilities compared to positive news.

Suggested Citation

  • Esta Lestari, 2012. "Spillover effects of the sub-prime mortgage crisis to the Asian stock markets," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 4(2), pages 181-194, April.
    • Handle: RePEc:uii:journl:v:4:y:2012:i:2:p:181-194
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    References listed on IDEAS

    as
    1. Hui Tong & Shang-Jin Wei, 2008. "Real Effects of the Subprime Mortgage Crisis: Is it a Demand or a Finance Shock?," NBER Working Papers 14205, National Bureau of Economic Research, Inc.
    2. Engle, Robert F & Ng, Victor K, 1993. "Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    3. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    4. Cotter, John & Stevenson, Simon, 2004. "Uncovering Volatility Dynamics in Daily REIT Returns," MPRA Paper 3533, University Library of Munich, Germany, revised 2005.
    5. McAleer, Michael, 2005. "Automated Inference And Learning In Modeling Financial Volatility," Econometric Theory, Cambridge University Press, vol. 21(1), pages 232-261, February.
    6. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    7. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    8. Wen‐Shwo Fang & Kuan‐Min Wang & Thanh‐Binh T. Nguyen, 2008. "Is Real Estate Really an Inflation Hedge? Evidence from Taiwan," Asian Economic Journal, East Asian Economic Association, vol. 22(2), pages 209-224, June.
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    More about this item

    Keywords

    Stock market; sub-prime mortgage crisis; volatility; spillover effect;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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