This article analyzes the manifold situations in which the efficient-market hypothesis (EMH) has influenced — or has failed to influence — federal securities regulation and state corporate law, and the prospective roles for the EMH in these contexts. In federal securities regulation, the EMH...

We document a significant shift in the comovement of asset returns and macroeconomic volatility during the Great Moderation. Strong U.S. stock and bond return predictability from several macroeconomic volatility series before 1982 was followed by a significant predictability decline during the...

We document strong U.S. stock and bond return predictability from several macroeconomic volatility series before 1982. Return predictability declined significantly during the Great Moderation in the post-1982 sample. Our empirical finding is robust to out-of-sample "real time" forecasts in terms...

We examine the impact of the monthly Employment Situation Report issued by the Bureau of Labor Statistics (BLS) and of analyst forecasts of that report on U.S. Treasury securities market. Surprise increases in total non-farm payroll employment lead to increases in interest rates (especially 1-...

We document strong U.S. stock and bond return predictability from several macroeconomic volatility series before 1982, and a significant decline in this predictability during the Great Moderation. These findings are robust to alternative empirical specifications and out-of-sample tests. We...

Bitcoin has been described as a decentralized, partially anonymous, virtual currency, not backed by any government or other legal entity. Bitcoins are highly liquid, have low transaction costs, and are very volatile. This paper will look at the behavior of the value of Bitcoins, forecast the...

We use machine learning techniques to conduct out-of-sample predictions of the underpricing of U.S. initial public offerings (IPOs) from 1990 to 2019. Using predicted underpricing based on ex ante information to sort the IPOs into 10 groups, we find that the underpricing averages for the top and...

This study investigates how well weekly Google search volumes track and predict bank failures in the United States between 2007 and 2012, contributing to the expanding literature that exploits internet data for the prediction of events. Different duration models with time-varying covariates are...

Risk managers operate in the space of risk and returns, constrained by financial market regulations. How can risk managers assess risk associated with changing regulatory structures, given that theories about the relationship between risk and return are much more developed than theories about...

The paid-incurred chain (PIC) reserving method is a claims reserving method in general insurance that allows to combine claims payments and incurred losses information in a mathematical consistent way. The main criticism on the original Bayesian log-normal PIC model presented in Merz-Wuthrich...