We examine the effect of mandated measurement and peer disclosure of new information on the persistence of performance improvements in a setting without performance incentives. Value of information (VOI) theory posits that information can improve the accuracy of posterior beliefs and thereby...

We develop a measurement-error framework for assessing the quality of relative-performance metrics designed to filter out the systematic component of performance, and analyze relative total shareholder return (rTSR)-the predominant metric market participants use to isolate managers'...

With an overall lack of gender and ethnic diversity in the innovation sector documented in Gompers and Wang (2017), we ask the natural next question: Does increased diversity lead to better firm performances? In this paper, we attempt to answer this question using a unique dataset of the gender...

We provide the first large-scale study of the performance of expected-return proxies (ERPs) internationally. Analyst-forecast-based ICCs are sparsely populated and not robustly associated with future returns. Earnings-model-forecast-based ICCs are well-populated, but are unreliable outside the...

We outline a framework in which accounting “valuation anchors" could be connected to expected stock returns. Under two general conditions, expected log returns is a log- linear function of a valuation (market value-to-accounting) multiple and the expected growth in the valuation anchor. We...

We study the use of firms' book-to-market ratios (B/M) in value investing and its implications for comovements in firms’ stock returns and trading volumes. We show B/M has become increasingly detached from common alternative valuation ratios over time while also becoming worse at forecasting...