Most popular approaches for modeling electricity prices rely at present on microeconomics rationale. They aim to study the interaction between decisions of agents in the market, and usually represent the impact of uncertainty in such decisions in a simplified way. The usual methodology of...

Forward transactions are becoming increasingly important in most of electricity markets. In this view, this paper develops a methodology able to capture the complexities of power markets and incorporate them into the framework of risk-neutral probabilities. This is done by the statement of a...

In this paper we introduce the dynamic semiparametric factor model (DSFM) for electricity forward curves. The biggest advantage of our approach is that it not only leads to smooth, seasonal forward curves extracted from exchange traded futures and forward electricity contracts, but also to a...

In this paper we develop a multi-factor model for the joint dynamics of related commodity spot prices in continuous time. We contribute to the existing literature by simultaneously considering various commodity markets in a single, consistent model. In an application we show the economic...

The energy sector is assuming an increasing importance in the global economy. As a consequence, there is a vast literature on the causal relation between energy use and others economic variables. In this paper, I investigate the relationship between electricity consumption and economic growth...

This paper investigates the time-varying conditional correlation between oil price and stock market volatility for six major oil-importing and oil-exporting countries. The period of the study runs from January 2000 until December 2014 and a Diag-BEKK model is employed. Our findings report the...

The paper investigates the ability of oil price returns, oil price shocks and oil price volatility to provide predictive information on the state (high/low risk environment) of the US stock market returns and volatility. The disaggregation of oil price shocks according to their origin allows us...

This paper observes the possible co-movements of oil price and CO2 emissions in China by following wavelet coherence and wavelet partial coherence analyses to be able to depict short-run and long-run co-movements at both low and high frequencies. To this end, this research might provide the...