In the past, petroleum companies only paid attention to hedging the variation in the crude oil price and volatility. However, they have now expanded their analysis to encompass renewable sources, such as corn and soybeans, under the current low-carbon biofuel obligations. This paper employs...

This article employs jump-diffusion models, including the ARJI model and the GARCH-jump model, to examine jump intensity and volatility of Taiwan stock and foreign exchange markets during a Presidential election period. The empirical results indicate that, firstly, the ARJI model fits data...

This article investigates the relationship between foreign investors' trading behaviour and political election events in South Korea and the effect of the relationship on the financial markets via a bivariate GARCH (1,1) model analysis. The empirical results show that the KOSPI 200 index return...

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'...

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...

This investigation adopts the Correlated Bivariate Poisson GARCH with Jump and Diffusion Volatility Spillover (CBP-GARCH-JDSV) model to determine whether the Qualified Foreign Institutional Investors (QFIIs) deregulation in Taiwanese stock markets influences normal and abnormal information...