We use high frequency real time spot prices and day-ahead forward prices from the Pennsylvania–New Jersey–Maryland wholesale electricity market to calculate, describe, and forecast spot price volatility. We introduce the concept of forward realized volatility calculated from day-ahead...

This article examines the volatility forecasting abilities of three approaches: GARCH-type model that uses carbon futures prices, an implied volatility from carbon options prices, and the k-nearest neighbor model. Based on the results, we document that GARCH-type models perform better than an...

This paper provides a comprehensive nonlinear analysis of asymmetric adjustment of the dynamic relationship between energy intensity and urbanization using the time series data of 1978–2010 in China at both the national and the macro regional levels. Two sets of unit root tests are applied...

In this paper, the long memory properties of disaggregated fossils, coal and electricity retail consumption in the U.S. over the 1989–2009 period are examined. The presence of long memory is related to autocorrelation persistence of each series. Our results show that there is heterogeneity in...

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 examines the effect of structural breaks on the spot–futures oil prices relationship. We explore the impact of structural breaks on four critical issues, including cointegrating relationships, market efficiency under the expectation hypothesis and the no arbitrage rule, causalities,...