It is well established that value stocks outperform glamour stocks, yet considerable debate exists about whether the return differential reflects compensation for risk or mispricing. Under mispricing explanations, prices of glamour (value) firms reflect systematically optimistic (pessimistic)...

This paper uses accounting-based reverse engineering of market expectations to identify potentially mispriced stocks. Building upon the “errors-in-expectations” hypothesis, we develop a theoretically funded yet practical tool for stock screening in this paper. We use the Ohlson (1995) model...

We establish a link between firms managing investors' performance expectations, earnings announcement premia, and cyclical patterns (i.e., seasonalities) in returns. Firms that are more likely to manage expectations toward beatable levels predictably earn lower returns before, and higher returns...

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...

We create a market-wide measure of dispersion in options investors' expectations by aggregating across all stocks the dispersion in trading volume across moneynesses (DISP). DISP exhibits strong negative predictive power for future market returns and its information content is not subsumed by...

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...

Crowdsourced earnings forecasts are less pessimistically biased than Wall Street (i.e., sell-side) analysts' forecasts before earnings announcements. Based on this observation, we examine how crowdsourced forecasts influence investors' evaluation of Street earnings surprises. Using crowdsourced...

In recent studies, the analysts' consensus forecasts are widely used as a proxy for the unobservable market's consensus expectation of future earnings. As prior studies indicate, the analysts' consensus forecasts measure the true underlying construct with errors and the errors may vary...

Using a unique survey dataset, the author studies how financial market experts form their stock market expectations. He documents a strong disagreement among experts about how important macroeconomic and financial variables are related to stock returns. The results of an analysis of the...

Using a unique survey dataset, I study how financial market experts form their stock market expectations. I document a strong disagreement among experts about how important macroeconomic and financial variables are related to stock returns. The results of an analysis of the relationships between...