This paper contributes to the debate on commodity financialization by extending tests of herd behavior to the commodity futures markets. Utilizing a regime-switching model, we test the presence of herd behavior in a number of commodity sectors; including energy, metals, grains, and livestock;...

We study the predictability of stock returns using an iterative model-building approach known as quantile boosting. Examining alternative return quantiles that represent normal, bull and bear markets via recursive quantile regressions, we trace the predictive value of extensively studied...

This paper examines the predictive power of the U.S. term structure over return volatility in emerging stock markets. Decomposing the term structure of U.S. Treasury yields into two components, the expectations factor and the maturity premium, we show that the U.S. term structure indeed contains...

Utilizing a large sample of actively managed equity funds and a recently developed EPU index for New Zealand, we show that fund flow performance sensitivity decreases with policy uncertainty. The role of policy uncertainty as a determinant of fund flow performance sensitivity is found to be...

This paper proposes a Markov-Switching (MS) test of herding behavior in China's segmented stock markets under a regime-changing environment. Using firm-level data on the A-shares (denominated in Chinese Renminbi) and B-shares (denominated in U.S. and Hong Kong dollars), we estimate an MS model...

This paper examines the dynamic relationship between global factors and herding behavior in the oil-rich frontier stock markets of the Gulf Cooperation Council (GCC), using a time-varying transition probability Markov Switching model (TVTP-MS). Our results suggest that the GCC frontier stock...