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...

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...

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...

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 paper employs three Value-at-Risk (VaR) models (GARJI, ARJI and asymmetric GARCH) to compare the performance of 1-day-ahead VaR estimates. The influences of price jumps and asymmetric information on the performance of VaR are investigated. Two stock indices (Dow Jones and S&P 500) and one...

In this paper we derive a new mean-risk hedge ratio based on the concept of Value at Risk (VaR). The proposed zero-VaR hedge ratio has an analytical solution and it converges to the MV hedge ratio under a pure martingale process or normality. A bivariate constant correlation GARCH(1,1) model...

This article investigates normal and abnormal information transmissions by examining diffusion volatility and jump intensity spillovers in China's stock markets. We analyse the impact of releasing investing restriction to information transmission mechanism, and also the interactions between 'A'...

This study extends the one period zero-VaR (Value-at-Risk) hedge ratio proposed by Hung et al. (2005) to the multi-period case and incorporates the hedging horizon into the objective function under VaR framework. The multi-period zero-VaR hedge ratio has several advantages. First, compared to...