It is crucial to model, quantify and understand the variables and dynamics that underlie the well-known extreme behaviour of spot electricity prices in wholesale markets. We explicitly model the conditional volatility and skewness of electricity prices. A GARCH-type model allowing for...

The variance risk premium represents the compensation paid to index option sellers for the risk of losses following upward movements in realized market return volatility. Common wisdom connects these spikes with elevated uncertainty on economic fundamentals. I incorporate this link within a...

Based on the fact that realized measures of volatility are affected by measurement errors, we introduce a new family of discrete-time stochastic volatility models having two measurement equations relating both observed returns and realized measures to the latent conditional variance. A...

Commodity prices are extremely volatile, and volatility itself fluctuates overtime. This volatility has consequences for both the global economy and commoditymarkets themselves. Using data from 1959 to 2021, we estimate a3-state Markov-switching model to identify expansions and contractions in...

This study investigates the price volatility of metals, using the GARCH and GJR models. First we examine the persistence of volatility and the leverage effect across metal markets taking into account the presence of outliers, and second we estimate the effects of oil price shocks on the price...

This paper studies crude oil market integration and spillovers between Brent and WTI oil indexes over the 2006-2019 period. In addition to prices, we estimate time series of model-free option-implied moments to capture forward-looking market views and anticipations of different risk categories....