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 use the recently developed nonlinear autoregressive distributed lags (NARDL) model to examine the pass-through of changes in crude oil prices, natural gas prices, coal prices and electricity prices to the CO2 emission allowance prices. This approach allows one to simultaneously test the...

We use a quantile regression framework to investigate the impact of changes in crude oil pric- es, natural gas prices, coal prices, and electricity prices on the distribution of the CO2 emis- sion allowance prices in the United States. We find that: (i) an increase in the crude oil price...

This article investigates the potential of nonlinear causal relationships between world oil prices and stock markets in MENA countries during a black swan period that is characterized by rarity and devastating impacts. By using the nonlinear and asymmetric causality test of Kyrtsou and Labys...

This article attempts to examine whether the equity premium in the United States can be predicted from a comprehensive set of 18 economic and financial predictors over a monthly out-of-sample period of 2000:2 to 2011:12, using an in-sample period of 1990:2-2000:1. To do so, we consider, in...

This paper explores the relevance of asymmetry and long memory in modeling and forecasting the conditional volatility and market risk of four major commodities (crude oil, natural gas, gold, and sil- ver). A broad set of the most popular linear and nonlinear GARCH-type models is used to...

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...

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