Financial sustainability is underrepresented in both the research on and practice of
sustainability management and reporting. This article proposes a conceptual measure of …

We use machine learning methods and high‐dimensional detailed financial data to predict
the direction of one‐year‐ahead earnings changes. Our models show significant out‐of …

I provide evidence that investors overweight analyst forecasts by demonstrating that prices
do not fully reflect predictable components of analyst errors, which conflicts with conclusions …

When people or computers need to make a decision, typically multiple conflicting criteria
need to be evaluated; for example, when we buy a car, we need to consider safety, cost and …

Recent work suggests that sentiment traders shift from safer to more speculative stocks
when sentiment increases. Exploiting these cross‐sectional patterns and changes in share …

This paper provides a systematic review of value premium literature that examines the
performance difference between value and growth stocks and the possible reasons for it. We …

We show that analyst coverage proxies contain information about expected returns. We
decompose analyst coverage into abnormal and expected components using a simple …

We provide the first comprehensive analysis of the properties of investment
recommendations generated by “Robo-Analysts,” which are human analyst-assisted …

This study documents a six-fold increase in short-term return reversals during earnings
announcements relative to non-announcement periods. Following prior research, we use …

To assess stock market informational efficiency with minimal data snooping, we take the
view of a statistician with little knowledge of finance. The statistician uses techniques such …