Using a sample of 97 stock return anomalies, we find that anomaly returns are 50% higher on corporate news days and are 6 times higher on earnings announcement days. These results could be explained by dynamic risk, mispricing via biased expectations, and data mining. We develop and conduct...

Mr. Thomas Krawinkel's paper raises the issue of how limits on buying power in executing trades can have a significant impact on the active trader's system results or expectations. It sheds light on the fact that parallel trades consume buying power up to the point where any further trade must...

We revisit the role of liquidity risk. We successfully replicate Pastor and Stambaugh's (2003) gamma liquidity risk index and, within their time period, concur with their risk premium estimate. An out-of-their-time-period analysis finds post-time-period returns that are higher and...

This paper re-evaluates academic research on 92 cross-sectional stock return predictors. Researchers studying return predictability must make decisions about portfolio construction; for example, whether to rebalance annually or monthly. In sample, the returns of predictor portfolios constructed...

Motivated by recent advances on elicitability of risk measures and practical considerations of risk optimization, we introduce the notions of Bayes pairs and Bayes risk measures. Bayes risk measures are the counterpart of elicitable risk measures, extensively studied in the recent literature....

For those who monitor relative wealth accumulation and are unmoved by divine empathy, a disincentive to increase the rate of full manumission is possible. Consider slavery as overt, formal constraints to zero or even negative wealth accumulation; and consider freedom of ex-slaves as the...

We study the out-of-sample and post-publication return-predictability of 97 variables that academic studies show to predict cross-sectional stock returns. Portfolio returns are 26% lower out-of-sample and 58% lower post-publication. The out-of-sample decline is an upper bound estimate of data...

Firm-level variables that predict cross-sectional stock returns, such as price-to-earnings and short interest, are often averaged and used to predict the time series of market returns. We extend this literature and limit the data-snooping bias by using a large population of the literature's...

In this paper, we introduce price index insurances on agricultural goods. Seemingly similar to derivatives, there are significant differences between price index insurances and derivatives. First, unlike derivatives, there are no entrance barriers for purchasing insurances, making them the risk...