Conditional Volatility in Foreign Exchange Rates: Evidence from the Malaysian Ringgit and Singapore Dollar

Abstract In this paper we examine the conditional volatility of the exchange rates of two Asia-Pacific currencies. These are the Malaysian ringgit-US dollar and the Singapore dollar-US dollar exchange rates. Both currencies are under relatively intervention-free managed-float systems. We employ the new class of APARCH model of Ding et al. (1993) to capture the possibly asymmetric effects of exchange shocks on future volatilities. In addition, we take account of the nonnormality in the residuals by using f-distributed errors . Similar to the findings for the major currencies under flexible exchange rate systems, the exchange rates of the two Asia-Pacific currencies demonstrate conditional heteroscedasticity and are adequately described by the APARCH model. We also find that a depreciation shock in the Malaysian ringgit against the US dollar has a greater effect on future volatilities than an appreciation shock of the same magnitude. However, such asymmetric effects are not significant in the Singapore market.

[1]  J. Zakoian.  Threshold heteroskedastic models , 1994 .

[2]  Adrian Pagan,et al.  Alternative Models for Conditional Stock Volatility , 1989 .

[3]  D. Malliaropulos.  Conditional volatility of exchange rates and risk premia in the EMS , 1995 .

[4]  R. Engle.  Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation , 1982 .

[5]  Yiu Kuen Tse,et al.  The conditional heteroscedasticity of the yen-dollar exchange rate , 1998 .

[6]  David Hsieh.  Chaos and Nonlinear Dynamics: Application to Financial Markets , 1991 .

[7]  L. Glosten,et al.  On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks , 1993 .

[8]  David A. Hsieh,et al.  Modeling Heteroscedasticity in Daily Foreign-Exchange Rates , 1989 .

[9]  Michael Melvin,et al.  Sources of meteor showers and heat waves in the foreign exchange market , 1994 .

[10]  Anil K. Bera,et al.  ARCH Models: Properties, Estimation and Testing , 1993 .

[11]  R. Chou,et al.  ARCH modeling in finance: A review of the theory and empirical evidence , 1992 .

[12]  Richard T. Baillie,et al.  Long memory processes and fractional integration in econometrics , 1996 .

[13]  David A. Hsieh,et al.  Implications of Nonlinear Dynamics for Financial Risk Management , 1993, Journal of Financial and Quantitative Analysis.

[14]  Takatoshi Ito,et al.  Meteor Showers or Heat Waves? Heteroskedastic Intra-Daily Volatility in the Foreign Exchange Market , 1988 .

[15]  T. Shanmugaratnam,et al.  Exchange rate policy in Singapore: philosophy and conduct over the past decade , 1992 .

[16]  A. Lo.  Long-Term Memory in Stock Market Prices , 1989 .

[17]  Takatoshi Ito,et al.  News from the U. S. And Japan: Which Moves the Yen/Dollar Exchange Rate? , 1986 .

[18]  B. LeBaron,et al.  A test for independence based on the correlation dimension , 1996 .

[19]  V. Tarhan.  Policy and volatility of asset returns , 1993 .

[20]  C. Granger,et al.  A long memory property of stock market returns and a new model , 1993 .

[21]  Daniel B. Nelson.  CONDITIONAL HETEROSKEDASTICITY IN ASSET RETURNS: A NEW APPROACH , 1991 .

[22]  T. Bollerslev,et al.  Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model , 1990 .