Computer-intensive methods are a recent development in the theory of statistics with potential applicability in audit and accounting sampling. Whereas traditional sampling approaches can require complex analytics and questionable distributional assumptions, computer-intensive methods generate...

Prior research documents no significant abnormal returns around upgrades of credit ratings, suggesting that upgrades do not convey new information. These tests are limited by lack of data, liquidity screens, and ambiguous predictions. We extend prior research using trading volume. Because volume...

This paper studies the ability of long-run risk models to explain out-of-sample asset returns during 1931-2009. The long-run risk models perform relatively well on the momentum effect. A cointegrated version of the model outperforms the classical, stationary version. Both the long-run and the...