This paper extends previous studies by investigating the relevance of structural breaks and long memory in modeling and forecasting the conditional volatility of oil spot and futures prices using a variety of GARCH-type models. Our results can be summarized as follows. First, we provide evidence...

This paper explores the relevance of asymmetry and long memory in modeling and forecasting the

This paper analyzes the short-term dynamics of the prices of CO2 emissions, using the vector autoregression (VAR) and the vector error-correction Models (VECM). The data are monthly for the prices of oil, coal, natural gas, electricity and carbon emission allowances. The results show that: (i) a...

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...

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 nonlinear GARCH-type models is used to...

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 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...

Using the vector auto-regression (VAR) and the vector error-correction Models (VECM), this paper analyzes the short-term dynamics of the prices of CO2 emissions in response to changes in the prices of oil, coal, natural gas, electricity and carbon emission allowances. The results show that: (i)...

This article takes a time scale perspective to examine the interactions between crude oil and stock