We provide evidence that institutions place lower trading priority and delay their trading in small, illiquid stocks. The slow trading of small stocks in turn delays the adjustment of small stock prices. In contrast, for large, liquid stocks, institutions demand immediacy, which generates some...

This paper provides new evidence on the role of exchange rates in forecasting commodity prices. Consistent with previous studies, we find that commodity currencies hold out-of-sample predictive power for commodity prices when using standard linear predictive regressions. After we reconsider the...

The VAR approach for testing present value models is applied to a nonlinear asset pricing model with three types of agents, using historical US stock prices and dividends. Besides rational long-term investors, that value assets according to expected dividends, the model includes rational and...

Previous studies have cast doubt on the construct validity of the asymmetric timeliness (AT) coefficient from the Basu (1997) model as a measure of conditional conservatism. The purpose of this paper is to clarify the exact conditions under which the AT coefficient fails to identify accounting...

We estimate panel vector autoregressions to analyze the highly disputed relationship between sovereign debt and economic growth. Using data on 20 developed countries, we find no evidence for a robust effect of debt on growth, even for higher levels of debt. We do find a significant negative...

We propose the Volume Coefficient of Variation (VCV), the ratio of the standard deviation to the mean of trading volume, as a new and easily computable measure of information asymmetry in security markets. We use a simple microstructure model to demonstrate that VCV is strictly increasing in the...

We develop a volatility decomposition derived from flexible local projections to quantify the relative contributions of expected discount rates and cash flows to the variation of dividend yields. Local projections enable the incorporation of large information sets, the use of monthly data along...