We evaluate the usefulness of bias-correction methods for autoregressive (AR) models in terms of out-of-sample forecast accuracy, employing two popular methods proposed by Hansen (1999) and So and Shin (1999). Our Monte Carlo simulations show that these methods do not necessarily achieve better...

This study investigates the degree of persistence in monthly Brent crude oil spot and futures prices (at one, two and three months to maturity). The main finding from the full sample shows that Brent crude oil spot, one, two and three months to maturity futures prices are characterized by a...

We evaluate the usefulness of bias-correction methods for autoregressive (AR) models in enhancing the out-of-sample forecast accuracy. We employ two popular methods, proposed by Hansen (1999) and So and Shin (1999). Our Monte Carlo simulations show that these methods do not necessarily achieve...