We examine whether differences between IFRS and U.S. GAAP affect forecast accuracy and other measures of analysts' performance and if analysts with superior forecasting ability are less affected by these differences. Our unique sample consists of resided U.S. analysts who followed cross-listed...

This study shows that firms collectively incur a cost for managing earnings and analyst expectations to meet earnings forecasts. We compare the coefficient in the regression of abnormal stock returns on earnings surprise (the earnings response coefficient (ERC)) across ranges of earnings...

We use a variance decomposition approach to examine why aggregate valuation ratios differ across countries. In a cross section of 22 developed countries from 1980 to 2009, we find that 50% of all cross-country differences in the aggregate price-to-book ratio (P/B) can be explained by...

I examine whether the FASB’s revenue recognition guidance under ASC 606 influences revenue comparability across firms and industries, and whether revenue comparability provides decision-useful information to analysts through reduced disclosure processing costs. I extract firms’ revenue...

We examine whether national culture, in particular, its individualism/collectivism dimension, affects sell-side financial analysts’ forecasting behavior. We find that analysts from individualistic cultures are more likely to issue bold earnings forecasts and stock recommendations than analysts...

We examine the value of analyst recommendations across 45 countries and 3.8 million firm-month observations from 1994 to 2019. Recommendation-based portfolio strategies lead to highly significant (insignificant) abnormal returns in international markets (in the U.S.). In line with...

Investors, regulators, academics, and researchers all emphasize the importance of financial statement comparability. However, an empirical construct of comparability is typically not specified. In addition, little evidence exists on the benefits of comparability to users. This study attempts to...

We examine the relative accuracy of management and analyst forecasts of annual EPS. We predict and find that analysts' information advantage resides at the macroeconomic level. They provide more accurate earnings forecasts than management when a firm's fortunes move in concert with macroeconomic...

This study uses publicly available information for European firms and recent machine learning algorithms to predict future revenues in an IFRS context, examining the benefits of predictive analytics for both preparers and users of these financial projections. For this purpose, the study...

This study examines the impact of shared analyst coverage on the comparability of financial statements. Analysts form information expectations based on the portfolio of firms they follow. I document that managers cater to analyst information expectations by increasing the comparability of their...