[eLarge Bayesian Vector Autoregressions (BVARs) have been a successful tool in the forecasting literature and most of this work has focused on macroeconomic variables. In this paper, we examine the ability of large BVARs to forecast the real price of crude oil using a large dataset with over 100...

This study provides the first systematic examination of the compensation contracting relevance of sales revenue. We document an increasing temporal trend in the explicit use of sales revenue as a performance measure in CEO annual bonus contracts, which is mirrored by a similar increase in the...

We investigate whether a class of trend models with various error term structures can improve upon the forecast performance of commonly used time series models when forecasting CPI inflation in Australia. The main result is that trend models tend to provide more accurate point and density...