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...

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

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...

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...

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...

This paper evaluates the predictability of WTI light sweet crude oil futures by us- ing the variance risk premium, i.e. the difference between model-free measures of implied and realized volatilities. Additional regressors known for their ability to ex- plain crude oil futures prices are also...

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...

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...

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