A tradeoff between forecast accuracy and the length of an estimation period always exists in forecasting. Longer estimation periods are argued to be less efficient, however, using the forecast encompassing and accuracy test, this study discusses the importance of considering the overall...

The traditional continuous and smooth models, like the GARCH model, may fail to capture extreme returns volatility. Therefore, this study applies the bivariate poisson (CBP)-GARCH model to study jump dynamics in price volatility of crude oil and heating oil during the past 20 years. The...

The traditional continuous and smooth models, like the GARCH model, may fail to capture extreme returns volatility. Therefore, this study applies the bivariate poisson (CBP)-GARCH model to study jump dynamics in price volatility of crude oil and heating oil during the past 20 years. The...

This study uses the multinomial logit model in which comovements are categorized into three outcomes, namely (i) negative comovements, (ii) positive comovements and (iii) no comovements, with the purpose of the empirical analysis being to investigate the economic determinants that affect the...

In accordance with the empirical regularity of time-varying betas we estimate and test for the Sharpe-Lintner CAPM by allowing for structural change(s) in betas. Empirical applications using BM- and size-sorted decile portfolios suggest the following interesting results. Firstly, there exists at...

This article employs a bivariate poisson jump model to investigate the relationship between the volatility of crude oil and gasoline especially during the period of the Gulf War. We find that greater jumps occurring in crude oil returns will appear in gasoline returns at the same time, but the...