We examine whether option prices correct for predictable bias in stock prices associated with accounting anomalies. Evidence from put-call parity violations suggests that they do not. Rather, option prices accurately track contemporaneous stock prices. Further analysis suggests that high costs...

We extend prior research examining the relation between aggregate recommendation changes and future returns by documenting that this relation varies over time as a function of the predictability of future earnings growth. When industry-level earnings growth is more predictable, we find that...

There is a logical bound on the time-series variability of analyst forecasts; when variability exceeds this bound it must be caused by something besides statistically rational forecasting. We document occurrences of excessively volatile analyst forecasts and show that they influence investment...

This study uses U.S. closed-end funds to investigate whether the realized component of fair value earnings conveys information about future fund and benchmark market performance and whether the market impounds this predictive information into fund share prices. We find that the realized...

We examine how the patterns of inter-industry trade flows impact the transfer of information and economic shocks. We provide evidence that the intensity of transfers depends on industries' positions within the economy. In particular, some industries occupy central positions in the flow of trade,...

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...

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...

An earnings manipulation detection model based on forensic accounting principles (Beneish 1999) has substantial out-of-sample ability to predict cross-sectional returns. We show that the model correctly identified, ahead of time, 12 of the 17 highest profile fraud cases in the period 1998-2002....

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...

Measures of a firm's financial strength forecast stock returns. The relation between financial condition and future returns, however, is consistent with two explanations: (1) changes in investors' expectations are impounded gradually over time and, (2) riskier firms - with higher discount rates...