This paper examines the effect of accounting conservatism on firm-level investment during the 2007-2008 global financial crisis. Using a differences-in-differences design, we find that firms with less conservative financial reporting experienced a sharper decline in investment activity following...

We use earnings forecasts from a cross-sectional model to proxy for cash flow expectations and estimate the implied cost of capital (ICC) for a large sample of firms over 1968-2008. The earnings forecasts generated by the cross-sectional model are superior to analysts' forecasts in terms of...

This paper examines insider trading around first-time debt covenant violation disclosures in SEC filings, and is interesting from a research and regulatory standpoint for three reasons – delay and infrequency of a first-time disclosure, lack of attention to covenant disclosures by regulators,...

The risk premium based on the cross sectional stock returns measured by a composite expected return signal displays closely similar winter vs. summer seasonal pattern as the market return does. We observe similar seasonal pattern for the signal component market value of equity, the...

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...

Intangible assets have always been part of the economic landscape. In this study we examine the impact of intangibles, both internally developed and externally acquired, on our ability to identify differences in expected stock returns. Our research does not find compelling evidence that we...

The long-run performance of 424 UK rights issues during 1991-95 shows that issuers outperform the market and non-issuing peers in the pre-issue period and underperform in the post-issue period. To explain these results, we examine the timing and earnings management hypotheses and show that our...

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...