This paper evaluates the predictability of monthly stock return using out-of-sample (multi-step ahead and dynamic) prediction intervals. Past studies have exclusively used point forecasts, which are of limited value since they carry no information about the intrinsic predictive uncertainty...

This study examines the random walk hypothesis for the crude oil markets, using daily data over the period 1982-2008. The weak-form efficient market hypothesis for two crude oil markets (UK Brent and US West Texas Intermediate) is tested with non-parametric variance ratio tests developed by...

This paper reviews the recent developments in the field of the variance-ratio (VR) tests of the random walk and martingale hypothesis. In particular, we present the conventional individual and multiple VR tests as well as their improved modifications based on power-transformed statistics, rank...

This study examines the random walk hypothesis for the Shanghai and Shenzhen stock markets for both A and B shares, using daily data over the period 1992-2007. The hypothesis is tested with new multiple variance ratio tests - Whang-Kim subsampling and Kim's wild bootstrap tests - as well as the...

In this paper we investigate the effect of the outliers on the decomposition of Nelson-Plosser macroeconomic data set into permanent and transitory components from structural time series models. We show that the outliers can disturb the unobserved-components decomposition, especially the...