This study examines the day-of-the-week effects in the Taiwan, Singapore, Hong Kong and South Korea stock markets. Various significant day-of-the-week effects, including the typical negative Monday and positive Friday effects are detected in the stock markets Taiwan, Singapore and Hong Kong....

This study examines the day-of-the-week effects in the Taiwan, Singapore, Hong Kong and South Korea stock markets. Various significant day-of-the-week effects, including the typical negative Monday and positive Friday effects are detected in the stock markets Taiwan, Singapore and Hong Kong....

To challenge the appropriateness of the theory of the weak-form market efficiency, this study examines the day-of-the-week effect and the twist-of-the-Monday effect for the ASEAN – 5 stock markets for the period June 10, 2002 through August 21, 2009. Our Kruskal-Wallis statistic test...

This study is able to uncover long-run cointegration relationship for Singapore and South Korea, based on the Breitung (2001) rank test procedures. Breitung (2001) rank test can detect both linear and nonlinear cointegration relationships, added value to the literature with strong evidences of...

This study examines whether the nonlinear adjustment dynamic of exchange rate to the equilibrium level as documented in Liew et al. (2003, 2004) is symmetrical or asymmetrical. Following the sequential tests as proposed in Teräsvirta and Anderson (1993), this study is able to identify that the...

We study the effects of ARCH errors on the performance of the commonly used lag length selection criteria. The most important finding of this study is that SIC, FPE, HQC and BIC perform considerably well in estimating the true autoregressive lag length, even in the presence of ARCH errors. Thus,...

Estimating the lag length of autoregressive process for a time series is a crucial econometric exercise in most economic studies. This study attempts to provide helpfully guidelines regarding the use of lag length selection criteria in determining the autoregressive lag length. The most...

We study the effects of ARCH errors on the performance of the commonly used lag length selection criteria. The most important finding of this study is that SIC, FPE, HQC and BIC perform considerably well in estimating the true autoregressive lag length, even in the presence of ARCH errors. Thus,...

Utilizing multivariate GARCH framework, this study finds that generally the US Information Technology (IT) market contributes a strong volatility rather than mean spillover effect to non-US IT markets, implying that the US IT market plays a dominant role in affecting the volatility of world IT...