Predicted stock issuers (PSIs) are firms with expected “high-investment and low-profit” (HILP) profiles that earn unusually low returns. We carefully document important features of PSI firms to provide insights on the economic mechanism behind the HILP phenomenon. Top-PSI firms are...

We examine the post-IPO excess stock returns of hospitality firms from 1996 to 2012 and find underperformance relative to the market on average. However, there are large differences in returns and some firms significantly outperform. We demonstrate that a substantial portion of this variation...

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...

Contemporaneous evidence of corporate revenue and profit forecasting error is provided in a different institutional context, Australian sharemarket initial public offerings. This article extends the literature on company forecast risk by incorporating new proxies for forecasting error (float...

This paper examines the initiation of analyst coverage of IPO firms in the presence of management forecasts. For a sample of 763 Australian IPOs from 1992 to 2004, we find firms that provide a management forecast in the prospectus are more likely to receive analyst coverage, after correcting for...

This paper provides global evidence supporting the hypothesis that expected return models are enhanced by the inclusion of variables that describe the evolution of book-to-market-changes in book value, changes in price, and net share issues. This conclusion is supported using data representing...

This study is motivated by the continuing popularity of the Altman Z-score as a measure of distress risk. Altman first introduced the ‘Z' score in 1968 and 50 years later it is still going strong as a means to predicting bankruptcy. During these 50 years, academicians have studied the...

This paper analyzes the effects of loan contract amendments and insider trading on stock returns. Loan renegotiations are frequent and contain potentially relevant information about the financial health of firms. Because managers and officers are better informed about the outcome of such...

In this study, we examine the predictability of firm-specific stock price crashes using modern machine learning techniques and develop a crash prediction model that utilizes both financial ratios and textual data from the Management Discussion and Analysis (MD&A) of 10-K files. We show that...

We develop a novel firm-level measure of cybersecurity risk using textual analysis of cybersecurity-risk disclosures in corporate filings. The measure successfully identifies firms extensively discussing cybersecurity risk in their 10-K, displays intuitive relations with quantitative measures of...