The asymmetric reactions of mean and volatility of stock returns to domestic and international information based on a four-regime double-threshold GARCH model

In this paper, we investigate the asymmetric reactions of mean and volatility of stock returns in five major markets to their own local news and the US information via linear and nonlinear models. We introduce a four-regime Double-Threshold GARCH (DTGARCH) model, which allows asymmetry in both the conditional mean and variance equations simultaneously by employing two threshold variables, to analyze the stock markets’ reactions to different types of information (good/bad news) generated from the domestic markets and the US stock market. By applying the four-regime DTGARCH model, this study finds that the interaction between the information of domestic and US stock markets leads to the asymmetric reactions of stock returns and their variability. In addition, this research also finds that the positive autocorrelation reported in the previous studies of financial markets may in fact be mis-specified, and actually due to the local market's positive response to the US stock market.

[1]  Gökçe Soydemir.  International transmission mechanism of stock market movements: evidence from emerging equity markets , 2000 .

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

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

[4]  M. Mckenzie.  The economics of exchange rate volatility asymmetry , 2002 .

[5]  Shigeyuki Hamori,et al.  International transmission of stock prices among G7 countries: LA-VAR approach , 2000 .

[6]  J. Zakoian,et al.  Threshold Arch Models and Asymmetries in Volatility , 1993 .

[7]  Testing for Temporal Asymmetry in the Price-Volume Relationship , 2003 .

[8]  Gregory Koutmos,et al.  Asymmetries in the Conditional Mean and the Conditional Variance: Evidence From Nine Stock Markets , 1998 .

[9]  T. Bollerslev,et al.  Generalized autoregressive conditional heteroskedasticity , 1986 .

[10]  Cheol S. Eun,et al.  International Transmission of Stock Market Movements , 1989, Journal of Financial and Quantitative Analysis.

[11]  Chris Brooks,et al.  A Double-Threshold GARCH Model for the French Franc/Deutschmark Exchange Rate , 2001 .

[12]  Horst Kräger,et al.  Non-linearities in foreign exchange markets: a different perspective , 1991 .

[13]  Wai Keung Li,et al.  On a Double-Threshold Autoregressive Heteroscedastic Time Series Model , 1996 .

[14]  A. Lo,et al.  Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test , 1987 .

[15]  Ming-Shiun Pan,et al.  International transmission of stock price movements: Evidence from the U.S. and five Asian-Pacific markets , 1998 .

[16]  Larry H. P. Lang,et al.  Pre and post-October 1987 stock market linkages between U.S. and Asian markets , 1995 .

[17]  H. Tong,et al.  Threshold Autoregression, Limit Cycles and Cyclical Data , 1980 .

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

[19]  A. Lo,et al.  An Econometric Analysis of Nonsynchronous Trading , 1989 .

[20]  Shuh-Chyi Doong,et al.  Empirical Analysis of Stock Returns and Volatility: Evidence from Seven Asian Stock Markets Based on TAR-GARCH Model , 2001 .

[21]  Yan-Leung Cheung,et al.  The international transmission of stock market fluctuation between the developed markets and the Asian—Pacific markets , 1992 .

[22]  Gregory Koutmos,et al.  Asymmetric Price and Volatility Adjustments in Emerging Asian Stock Markets , 1999 .

[23]  Joseph E. Finnerty,et al.  Economic news and equity market linkages between the U.S. and U.K , 1995 .

[24]  S. Ross.  Information and Volatility: The No-Arbitrage Martingale Approach to Timing and Resolution Irrelevancy , 1989 .

[25]  H. Akaike,et al.  Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .

[26]  H. Tong.  Non-linear time series. A dynamical system approach , 1990 .

[27]  G. Box,et al.  On a measure of lack of fit in time series models , 1978 .

[28]  Cathy W. S. Chen,et al.  Asymmetrical reaction to US stock-return news: evidence from major stock markets based on a double-threshold model , 2003 .

[29]  Cathy W. S. Chen,et al.  On a threshold heteroscedastic model , 2006 .

[30]  A. I. McLeod,et al.  DIAGNOSTIC CHECKING ARMA TIME SERIES MODELS USING SQUARED‐RESIDUAL AUTOCORRELATIONS , 1983 .

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

[32]  Colm Kearney,et al.  The determination and international transmission of stock market volatility , 2000 .