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...

The vast majority of U.S. public firms announce earnings in the post-close (between the closing bell and midnight, or PC) or the pre-open (between midnight and the opening bell, or PO). Prior literature generally treats PC and PO announcements as equivalent when measuring the market reaction to...

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 use a comprehensive panel of NYSE order book data to show that the liquidity and quoting efficiency improvements associated with algorithmic trading (AT) are attributable to enhanced monitoring by liquidity providers. We find that variation in liquidity provider monitoring uniquely explains...

This paper examines how changes in firms’ risk disclosures affect a key market measure of risk. Our proxy for changes in risk disclosures is the addition and removal of individual risk factors to firms’ 10-K annual filings, identified via textual analysis of the risk factors section. Our...

This study generates out-of-sample predictions from training data to construct investment portfolios that are mean-variance optimized and rebalanced daily to assess gains from incorporating signals based on post-earnings announcement drift (PEAD), the earnings announcement premium (EAP), and...