Standard setters and many investors argue that loan fair values provide more useful information about credit losses than historical cost information while bankers and others generally disagree. We examine the ability of reported loan fair values to predict credit losses relative to the ability...

We examine the association between goodwill impairment charges and analysts' forecast accuracy and dispersion. We compare firm-quarters that report periodic goodwill impairment charges during 2003-2007, and two control samples (matched on propensity scores and performance) of firm-quarters that...

There is a long-standing debate on the recognition of intangible assets and whether they can be measured reliably. Most recognized intangibles are acquired in business combinations, and estimating their fair values is highly subjective. Using a broad sample of business combinations in the U.S....

This paper investigates the role of management earnings guidance to inform analysts about the effect of conservatism on earnings. Empirical evidence suggests that analysts fail to correctly estimate the downward-bias effect of conservatism, leading to optimistic earnings expectations. I...

This paper empirically tests whether the various SFAS No. 109 reporting and disclosure requirements provide information that is consistent with the FASB's Conceptual Framework. To address this question, we examine whether information required by SFAS No. 109 provides any incremental ability to...

Kirk, Reppenhagen, and Tucker (2014) find that investors use individual analyst forecasts as additional earnings benchmarks. We investigate whether executives manage earnings to beat these individual benchmarks. Using year-end effective tax rate (ETR) manipulation as our setting, we find that...

The aim of this study is to determine whether accruals have information value beyond that provided by isolated current cash flows for the prediction of future cash flows. Using a sample of 4,397 Spanish companies (mostly privately held), we estimate in-sample regressions of future cash flows on...

Most of the bankruptcy prediction models developed so far have in common that they are based on quantitative data or more precisely financial ratios. However, useful information can be lost when disregarding soft information. In this work, we develop an automated content analysis technique to...

Prior literature documents the usefulness of the DuPont disaggregation for predicting firms future profitability, operating income, and stock market returns. In addition, research also emphasizes the importance of earnings quality information. However, there is a lack of research examining how...

Under fairly general assumptions, expected stock returns are a linear combination of two accounting fundamentals ― book to market and ROE. Empirical estimates based on this relation predict the cross section of out-of-sample returns in 26 of 29 international equity markets, with a highly...