The Stochastic Properties of Major Canadian Exchange Rates

This paper extends the results of Akgiray and Booth [2] on the stochastic properties of five major Canadian exchange rates using the EGARCH-M model along with the generalized error distribution (GED). In addition to the issue of first- and second-order dependencies, explored by the authors, the paper (1) addresses the issue of asymmetric volatility, (2) examines the extent to which volatility affects future movements in these exchange rates, (3) measures the amount of kurtosis in the data, and (4) investigates the transmission mechanism of innovations and volatility shocks across the five Canadian exchange rate markets. The five Canadian dollar exchange rates are for the U.S. dollar, the Japanese yen, the British pound, the German mark, and the French franc. Changes in Canadian exchange rates are conditionally heteroskedastic, a finding which is in line with that of Akgiray and Booth [2]. There is no evidence supporting the assertion that volatility triggers such changes. The hypothesis of asymmetric volatility is rejected for all Canadian exchange rates; thus unexpected appreciations and depreciations of the Canadian currency have similar impact on future volatility of these exchange rates. Innovations in the Canadian exchange rate markets for the U.S. dollar, the British pound, and French franc influence the Japanese yen market, while innovations in the markets of the British pound and German mark influence the French franc market. Significant but negative volatility spillovers radiate from the German mark market to the U.S. dollar market and from the French franc market to the German mark market, resulting in lower levels of volatility in both the U.S. and German markets. The distributions of all five series of Canadian exchange rates are highly leptokurtic relative to the normal distribution. The GED distribution provides a good characterization of these distributions.

[1]  David A. Hsieh,et al.  The statistical properties of daily foreign exchange rates: 1974–1983 , 1988 .

[2]  Craig S. Hakkio,et al.  Conditional variance and the risk premium in the foreign exchange market , 1985 .

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

[4]  V. Akgiray Conditional Heteroscedasticity in Time Series of Stock Returns: Evidence and Forecasts , 1989 .

[5]  Ronald W. Masulis,et al.  Correlations in Price Changes and Volatility Across International Stock Markets , 1990 .

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

[7]  Panayiotis Theodossiou,et al.  Stochastic behaviour of the Athens stock exchange , 1993 .

[8]  Lawrence A. Gordon,et al.  The market reaction to announced deep cuts in capital expenditures , 1993 .

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

[10]  David Hsieh Testing for Nonlinear Dependence in Daily Foreign Exchange Rates , 1989 .

[11]  Robert F. Engle,et al.  Meteor Showers or Heat Waves? Heteroskedastic Intra-Daily Volatility in the Foreign Exchange Market , 1988 .

[12]  Mark Zelmer,et al.  Measuring the Profitability and Effectiveness of Foreign Exchange Market Intervention: Some Canadian Evidence , 1990 .

[13]  Canadian foreign exchange policies: Intervention, control, cointegration , 1992 .

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

[15]  Dave Longworth Canadian Intervention in the Foreign Exchange Market: A Note , 1980 .

[16]  R. Baillie,et al.  The Message in Daily Exchange Rates , 1989 .

[17]  G. Geoffrey Booth,et al.  Conditional Dependence in Precious Metal Prices , 1991 .

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

[19]  R. Baillie,et al.  INTRA DAY AND INTER MARKET VOLATILITY IN FOREIGN EXCHANGE RATES , 1991 .

[20]  Panayiotis Theodossiou,et al.  Mean and Volatility Spillovers across Major National Stock Markets: Further Empirical Evidence , 1993 .