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...

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...

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...

In this paper I show that information about fundamentals of the aggregate economy derived from closely held firms help predict stock returns. I construct a new economy-wide dividend price ratio that takes into account dividends and market capitalization of both listed (public) and non-listed...

This paper presents a simple rational expectations model of intertemporal asset pricing. It shows that heterogeneous risk aversion of investors is likely to generate declining aggregate relative risk aversion. This leads to predictability of asset returns and high and persistent volatility....

Using monthly data from 01/1985 to 12/2012, we find that the accounting valuation-based predictor introduced in Lee, Myers, and Swaminathan (1999) has excellent in-sample and out-of-sample predictive performance. Our finding suggests that the accounting valuation-based predictor does not suffer...

Existing research indicates that it is possible to forecast potential long-term returns in the S&P 500 for periods of more than 10 years using the cyclically adjusted price-to-earnings ratio (CAPE). This paper concludes that this relationship has also existed internationally in 17 MSCI Country...

This paper studies whether investor sentiment can predict future Mexican stock market returns. Furthermore, we examine the dynamic correlation between sentiment and returns. Lastly, we examine whether sentiment innovations influence unexpected returns. We find that sentiment has significant...

This paper uses the tools of computational linguistics to analyze the qualitative part of annual reports of UK listed companies. More specifically, the frequency of words associated with different language indicators is measured and used to forecast future stock returns. We find that two of...

In this paper, we extend the literature on crash prediction models in three main ways. First, we explicitly relate crash prediction measures and asset pricing models. Second, we present a simple, effective statistical significance test for crash prediction models. Finally, we propose a...