This paper introduces a methodology for identifying oil supply shocks in a restricted VAR system for a small open economy. Financial market information is used to construct an identification scheme that forces the response of the restricted VAR model to an oil shock to be the same as that...

This paper studies the existence of risk premia in crude oil futures prices with simple regression and Bayesian VAR models. It also studies the importance of three main risk premia models in explaining and forecasting the risk premia in practice. Whilst the existence of the premia and the...

This paper studies the effects of demand shocks caused by Emerging Asian (EMA) countries on oil prices over the past two decades, using vector autoregression models. The analysis builds on previous work done on identifying different types of oil shocks using structural time series methods....

This paper studies oil market and other macroeconomic shocks in a structural vector autoregression with sign restrictions. It introduces a new indicator for oil demand, and uniquely, performs a sign restriction set-up with a penalty function approach in an oil market vector autoregression. The...

This paper studies factors behind inflation dynamics in the euro area, the UK and the US. It introduces a factor-augmented vector autoregression (FAVAR) framework with sign restrictions to study the effects of fundamental macroeconomic shocks on inflation in the three economies. The FAVAR model...