In this article, we show how the copula-GARCH approach can be appro- priately used to investigate the conditional dependence structure between the crude oil and natural gas markets as well as to derive implications for port- folio risk management in extreme economic conditions. Using daily price...

We study the conditional dependence structure between crude oil prices and U.S. dollar exchange rates using a copula-GARCH approach. Various copula functions of the elliptical, Archimedean and quadratic families are used to model the underlying dependence structure in both bearish and bullish...

We consider the problem of accurate market risk modeling for agricultural commodity products over heterogeneous investment horizons using copulas and wavelet methods. Our results indicate that the degree and structure of the dependence of daily commodity returns on the three market risk factors...

This article attempts to examine whether the equity premium in the United States can be predicted from a comprehensive

This study examines the effects of the monetary policy of the United States on commodity prices. Using a Bayesian Structural VAR, we identify the interest rate shocks as a measure of the stance of the U.S. mon- etary policy and evaluate their impacts on different types of commodity prices. The...

This paper examines the effects of the monetary policy of China on commodity prices. Using a Bayesian Structural VAR, we identify shocks to the interest rate as a price rule and to the monetary aggregate (M2) as a quantity rule, and then evaluate their impacts on commodity prices. Those prices...

We investigate the dynamic relationships between the US five-year financial CDS sector index spreads for the banking, financial services and insurance sectors in the short- and long-run over the recent period which is marked by the onset of the global financial crisis. For this purpose, we...

This study examines the risk spillovers between energy futures prices and Europe-based carbon futures contracts. We use a Markov regime-switching dynamic correlation, generalized autoregressive conditional heteroscedasticity (MSDCC- GARCH) model in order to capture the time variations and...

In this article, we examine the recent trends in dependence structure between the fast-growing commodity markets and the stock markets in China in order to draw implications for portfolio investment. We address this issue by using copula functions that allow for measuring both average and tail...

This paper explores the relevance of asymmetry and long memory in modeling and forecasting the conditional volatility and market risk of four widely traded commodities (crude oil, natural gas, gold, and silver). A broad set of the most popular linear and