The purpose of this study is to examine the impact of the choice of cut-off points, sampling procedures, and the business cycle on the accuracy of bankruptcy prediction models. Misclassification can result in erroneous predictions leading to prohibitive costs to firms, investors and the economy....

Taking advantage of the unique Canadian setting where two governance mechanisms coexist, this study empirically examines the impact of the presence of the board of directors, as an internal governance mechanism, on fees and performance of mutual funds. Furthermore, the impact of the board...

The purpose of this research is to investigate factors that contribute to technology firms paying higher compensation than non-technology firms, and why the mix of compensation at technology firms is different than the compensation packages at non-technology firms. Using a sample of 1,009...

Alpha-based performance evaluation may fail to capture correlated residuals due to model errors. This paper proposes using the Generalized Information Ratio (GIR) to measure performance under misspecified benchmarks. Motivated by the theoretical link between abnormal returns and residual...

This paper formulates a gradient-based reinforcement learning (GRL) model within a game-theoretic machine learning framework where players start from their initial circumstances with dispersed information, using the expected gradient to update choice propensities, and converge to the predicted...

Recent theoretical studies (Aggarwal and Wu, 2006; Mei, Wu and Zhou, 2004) show that trade-based stock price manipulation is a possible source of the momentum effect. This paper proposes three sets of testable hypotheses and provides empirical evidence for a manipulation-based explanation of...