Sticky Expectations and the Profitability Anomaly
Summary
This document summarizes a study of whether slow updating of beliefs about future earnings can account for the profitability anomaly: the tendency for more profitable stocks to outperform. In its model, expectations combine prior beliefs with rational expectations. When earnings signals persist, analysts and investors who adjust forecasts gradually may underreact to useful information, allowing past profitability, changes in profitability, and past returns to predict future returns. The model predicts larger forecast errors for highly profitable firms and stronger return patterns when analyst expectations are stickier or cash flows more persistent.
The empirical work uses analyst earnings-per-share forecasts alongside accounting and monthly stock-return data. The summary describes measuring stickiness from forecast revisions and errors, sorting portfolios by profitability-related signals, and checking returns against standard risk-factor models. It reports evidence broadly consistent with the model, including forecast errors related to prior cash flow and stronger anomalies for stocks followed by stickier analysts. These findings support the proposed explanation but do not establish it as the only source of the anomaly. Analyst forecasts may imperfectly represent investor beliefs, the pricing model makes restrictive assumptions, and the document’s discussion of returns is a research summary rather than an independently reproduced analysis.
Key ideas
- The study proposes slow updating of earnings expectations as one explanation for the profitability anomaly.
- The mechanism requires persistent earnings information so that underreaction can affect prices over time.
- It measures expectation stickiness through the relationship between analysts’ forecast errors and revisions.
- The document describes evidence connecting forecast errors to prior cash flow and stronger return patterns to stickier analysts and persistent cash flows.
- The model’s simplifying assumptions and the use of analyst forecasts as a proxy for investor beliefs limit interpretation.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.