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Time-Varying Currency Betas: Evidence from Developed and Emerging Markets

Author

Listed:
  • Prabhath Jayasinghe

    (Department of Economics, National University of Singapore)

  • Albert K. Tsui

    () (Department of Economics, National University of Singapore)

Abstract

This paper examines the conditional time-varying currency betas from five developed markets and four emerging markets. A trivariate BEKK-GARCH-in-mean model is used to estimate the timevarying conditional variance and covariance of returns of stock index, the world market portfolio and changes in bilateral exchange rate between the US dollar and the local currency of each country. It is found that currency betas are more volatile than those of the world market betas. Currency betas in emerging markets are more volatile than those in developed markets. Moreover, we find evidence of long-memory in currency betas. The usefulness of time-varying currency betas are illustrated by two applications.

Suggested Citation

  • Prabhath Jayasinghe & Albert K. Tsui, 2009. "Time-Varying Currency Betas: Evidence from Developed and Emerging Markets," SCAPE Policy Research Working Paper Series 0903, National University of Singapore, Department of Economics, SCAPE.
  • Handle: RePEc:sca:scaewp:0903
    as

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    File URL: http://www.fas.nus.edu.sg/ecs/pub/wp-scape/0903.pdf
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    References listed on IDEAS

    as
    1. Horst Entorf & Gösta Jamin, 2007. "German Exchange Rate Exposure at DAX and Aggregate Levels, International Trade and the Role of Exchange Rate Adjustment Costs," German Economic Review, Verein für Socialpolitik, vol. 8, pages 344-374, August.
    2. R. D. Brooks & R. W. Faff & M. McKenzie, 2002. "Time varying country risk: an assessment of alternative modelling techniques," The European Journal of Finance, Taylor & Francis Journals, vol. 8(3), pages 249-274.
    3. Bodnar, Gordon M. & Gentry, William M., 1993. "Exchange rate exposure and industry characteristics: evidence from Canada, Japan, and the USA," Journal of International Money and Finance, Elsevier, vol. 12(1), pages 29-45, February.
    4. Brooks, Robert D. & Faff, Robert W. & McKenzie, Michael D. & Ho, Yew Kee, 2000. "U.S. Banking Sector Risk in an Era of Regulatory Change: A Bivariate GARCH Approach," Review of Quantitative Finance and Accounting, Springer, vol. 14(1), pages 17-43, January.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    time-varying currency betas; multivariate GARCH-M models; international CAPM; fractionally integrated processes; stochastic dominance;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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