In this article, we use the recently developed nonlinear autoregressive distributed lags (NARDL) model to examine the pass-through of crude oil prices into gasoline and natural gas prices. Our approach allows us to simultaneously test the short- and long-run nonlinearities through positive and...

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

Environmental degradation measured by CO2 emissions is a significant challenge to sustainable economic development. Owing to significant differences in the empirical relationship between the economic growth and CO2 emissions and policies adopted by different countries to overcome the challenge...

The French wholesale market is set to expand in the next few years under European pressure and national decisions. In this paper, we assess the forecasting ability of several classes of time series models for electricity wholesale spot prices at a day-ahead horizon in France. Electricity spot...

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...

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

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