In this paper, we present a general framework for understanding the role of artificial neural
networks (ANNs) in bankruptcy prediction. We give a comprehensive review of neural …

Using the Investors' Intelligence sentiment index, we employ a generalized autoregressive
conditional heteroscedasticity-in-mean specification to test the impact of noise trader risk on …

… Indro, Christine X. Jiang, Michael Y. Hu, and Wayne Y. … Indro and Christine X. Jiang
are assistant professors of finance at Kent State University. Michael Y. …

This study utilizes an artificial neural network (ANN) approach to predict the performance of
equity mutual funds that follow value, blend and growth investment styles. Using a multi-layer …

Behavioral finance studies routinely challenge the traditional argument that market participants
behave rationally (see, eg, Barber and Odean, 2001; Barberis and Thaler, 2002; Coval …

The empirically documented presence of negative autocorrelation in long-horizon common
stock returns magnifies the upward (downward) bias inherent in the use of arithmetic (…

Using a sample of 375 equity joint venture agreements between 2 partners in 6 Southeast
Asian countries, we document the active role of Asian companies in driving the flow of joint …

Using a logistic regression model, we identify the characteristics of firms whose shareholders
are likely to benefit from bankruptcy resolution. That is, winners (losers) are firms whose …

We develop an isomorphism-signaling framework to explain the likelihood of isomorphic
behavior (and nonconformity) by a focal firm toward local rivals and nonlocal rivals and then …

Manuscript Type: Empirical Research Question/Issue: We ask two research questions: (1)
How do CEO stock ownership and options influence the amount of equity capital that a foreign …