Global reliance on Hydrocarbon sector has dramatically increased multi-fold which has led to rise to dominance of GCC. GCC is home to 45% of the proven oil reserves and contributes nearly 35% of the world oil exports annually. With such heavy reliance of the world on GCC for its oil produce, and...

In this study, we empirically investigate whether or not the conventional belief that new information about fundamental value is revealed in the futures market ahead of the spot market is applicable to four important storable energy commodities, oil, gasoline, heating oil and natural gas. Taking...

This study examines volatility transmission between oil and selected agricultural commodity prices (wheat, corn, soybeans, and sugar). We apply the newly developed causality in variance test and impulse response functions to daily data from 01 January 1986 to 21 March 2011. In order to identify...

In the deregulated fuels market, biofuels and fossil fuels are close competitors and substitutes. Thus, biofuel producers are subject to risks due to volatile crude oil and biofuels feedstock prices. This paper proposes a two-sector fuel market with competing oil refinery and biofuel sectors,...

We collect ownership data of U.S. power plants accounting for 99% of U.S. electricity generation over the 2008-2020 period. Domestic listed corporations have reduced their ownership from 69% to 54% of total generation, while private equity, institutional investors, and foreign corporations have...

We introduce a dynamic Skellam model that measures stochastic volatility from high-frequency tick-by-tick discrete stock price changes. The likelihood function for our model is analytically intractable and requires Monte Carlo integration methods for its numerical evaluation. The proposed...

We describe stationarity and ergodicity (SE) regions for a recently proposed class of score driven dynamic correlation models. These models have important applications in empirical work. The regions are derived from sufficiency conditions in Bougerol (1993) and take a non-standard form. We show...

We propose a new methodology for the Bayesian analysis of nonlinear non-Gaussian state space models with a Gaussian time-varying signal, where the signal is a function of a possibly high-dimensional state vector. The novelty of our approach is the development of proposal densities for the joint...

An early development in testing for causality (technically, Granger non-causality) in the conditional variance (or volatility) associated with financial returns, was the portmanteau statistic for non-causality in variance of Cheng and Ng (1996). A subsequent development was the Lagrange...