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Dynamic correlation between stock prices and exchange rates

  • Chia-Hao Lee
  • Shuh-Chyi Doong
  • Pei-I Chou

This article examined the interaction between stock price and exchange rate and explored their dynamic correlation influenced by the stock market volatility. We used newly developed Smooth Transition Conditional Correlation-Generalized Autoregressive Conditional Heteroscedasticity (STCC-GARCH) model and applied weekly data from Indonesia, Korea, Malaysia, the Philippines, Taiwan and Thailand for the period 2000 to 2008 to test the dynamic correlation hypothesis. The empirical results indicated that there are significant price spillovers from stock market to foreign exchange market for Indonesia, Korea, Malaysia, Thailand and Taiwan. Furthermore, the correlation between stock and foreign exchange markets becomes higher when stock market volatility increases in Asian emerging markets except in the Philippines. These results are important for international investors and managers to devise hedging and diversification strategies for their portfolios. The evidence suggests that investors can hedge risk between stock and foreign exchange in domestic markets when the stock market is stable. Otherwise, when the stock market becomes volatile, investors diversify their portfolio internationally for hedging risk since the correlation between stock and foreign exchange markets becomes higher.

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File URL: http://www.tandfonline.com/doi/abs/10.1080/09603107.2010.537631
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Article provided by Taylor & Francis Journals in its journal Applied Financial Economics.

Volume (Year): 21 (2011)
Issue (Month): 11 ()
Pages: 789-800

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Handle: RePEc:taf:apfiec:v:21:y:2011:i:11:p:789-800
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  1. Sheng-Yung Yang & Shuh-Chyi Doong, 2004. "Price and Volatility Spillovers between Stock Prices and Exchange Rates: Empirical Evidence from the G-7 Countries," International Journal of Business and Economics, College of Business, and College of Finance, Feng Chia University, Taichung, Taiwan, vol. 3(2), pages 139-153, August.
  2. Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-30, March.
  3. Silvennoinen, Annastiina & Teräsvirta, Timo, 2005. "Multivariate Autoregressive Conditional Heteroskedasticity with Smooth Transitions in Conditional Correlations," SSE/EFI Working Paper Series in Economics and Finance 577, Stockholm School of Economics, revised 01 Oct 2005.
  4. Nieh, Chien-Chung & Lee, Cheng-Few, 2001. "Dynamic relationship between stock prices and exchange rates for G-7 countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 41(4), pages 477-490.
  5. Giovannini, Alberto & Jorion, Philippe, 1987. "Interest rates and risk premia in the stock market and in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 6(1), pages 107-123, March.
  6. Angelos Kanas, 2000. "Volatility Spillovers Between Stock Returns and Exchange Rate Changes: International Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 27(3-4), pages 447-467.
  7. R-P. Berben & W.J. Jansen, 2001. "Comovement in International Equity Markets: a Sectoral View," MEB Series (discontinued) 2001-11, Netherlands Central Bank, Monetary and Economic Policy Department.
  8. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-70, March.
  9. Uribe, Martin & Yue, Vivian Z., 2006. "Country spreads and emerging countries: Who drives whom?," Journal of International Economics, Elsevier, vol. 69(1), pages 6-36, June.
  10. Karolyi, G Andrew & Stulz, Rene M, 1996. " Why Do Markets Move Together? An Investigation of U.S.-Japan Stock Return Comovements," Journal of Finance, American Finance Association, vol. 51(3), pages 951-86, July.
  11. Michael D. McKenzie & Robert W. Faff, 2003. "The Determinants of Conditional Autocorrelation in Stock Returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 26(2), pages 259-274.
  12. Robert F. Engle & Victor K. Ng, 1991. "Measuring and Testing the Impact of News on Volatility," NBER Working Papers 3681, National Bureau of Economic Research, Inc.
  13. Granger, Clive W. J. & Huangb, Bwo-Nung & Yang, Chin-Wei, 2000. "A bivariate causality between stock prices and exchange rates: evidence from recent Asianflu," The Quarterly Review of Economics and Finance, Elsevier, vol. 40(3), pages 337-354.
  14. François Longin, 2001. "Extreme Correlation of International Equity Markets," Journal of Finance, American Finance Association, vol. 56(2), pages 649-676, 04.
  15. Bracker, Kevin & Koch, Paul D., 1999. "Economic determinants of the correlation structure across international equity markets," Journal of Economics and Business, Elsevier, vol. 51(6), pages 443-471.
  16. R. Smyth & M. Nandha, 2003. "Bivariate causality between exchange rates and stock prices in South Asia," Applied Economics Letters, Taylor & Francis Journals, vol. 10(11), pages 699-704.
  17. Issam Abdalla & Victor Murinde, 1997. "Exchange rate and stock price interactions in emerging financial markets: evidence on India, Korea, Pakistan and the Philippines," Applied Financial Economics, Taylor & Francis Journals, vol. 7(1), pages 25-35.
  18. 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.
  19. Li Lian Ong & H. Y. Izan, 1999. "Stocks and currencies: are they related?," Applied Financial Economics, Taylor & Francis Journals, vol. 9(5), pages 523-532.
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