This paper provides an analysis of the link between the oil market and the U.S. stock market returns at the aggregate as well as industry levels. We empirically model oil price changes as driven by speculative demand shocks along with consumption demand and supply shocks in the oil market. We...

This paper estimates the dynamic conditional correlations in the returns on WTI oil one-month forward prices, and one-, three-, six-, and twelve-month futures prices, using recently developed multivariate conditional volatility models. The dynamic correlations enable a determination of whether...

The costs of energy supply disruptions for industrialised economies go well beyond the economic measures of national accounts. According to different kinds of risks, physical shortages or price shocks, there are several categories of negative effects. Oil disruptions have both a direct and an...

The role of speculators in the oil markets has been vastly investigated during the last few years. Several authors focused on the definition of speculation while others examined the relationship between oil prices and the behavior of trading actors. In this paper, we formulate a new theory able...

This paper provides an analysis of the link between the global market for crude oil and oil futures risk premium at the aggregate level. It off ers empirical evidence on whether the compensation for risk required by the speculators depends on the type of the structural shock of interest....

In this work, we propose an analysis of the global market for crude oil based on a revised version of the Structural Vector Autoregressive (SVAR) model introduced by Kilian and Murphy (2014). On this respect, we replace the global proxy for above-ground crude oil inventories with the oil...

Recent studies on oil market demonstrate endogeneity of oil price by modeling it as a function of consumption and precautionary demands and producers’ supply. However, studies analysing the effect of oil price uncertainty on investment, do not disentangle uncertainties raised by underlying...

Structural VAR models are frequently identified using sign restrictions on impulse responses. Moving beyond the popular but restrictive Normal-inverse-Wishart-Uniform prior, we develop a methodology that can handle almost any prior distribution on contemporaneous responses. We then propose a new...