ConvexPi

Investor Sentiment and the Cross‐Section of Stock Returns

Malcolm Baker, Jeffrey Wurgler

The Journal of Finance · 2006 · 6111 citations

Low VolQuality
Community wiki✎ Edit⟲ History

Investor Sentiment and the Cross-Section of Stock Returns


Source: Baker, M. & Wurgler, J. (2006). Journal of Finance 61(4), 1645–1680.


TL;DR

Builds a market-wide investor-sentiment index and shows it conditions the cross-section of returns:

when sentiment is high, stocks that are hardest to value and hardest to arbitrage — small, young,

volatile, unprofitable, non-dividend-paying, distressed, or extreme-growth firms — subsequently earn

low returns; when sentiment is low, the pattern reverses. Sentiment is not noise to be averaged

away; it predictably mis-prices a recognisable set of stocks.


What anomaly it documents

A conditioning variable rather than a single tradable factor: the sign and size of many

cross-sectional return spreads depend on the prevailing level of sentiment. The affected

characteristics are precisely those that make a stock speculative and costly to short. Several effects

(age, return volatility) have no unconditional spread at all — they only appear once you condition

on sentiment, and they sign-flip across high vs. low sentiment.


How to construct it

  • Sentiment index: first principal component of six proxies — the closed-end fund discount, NYSE
  • share turnover, the number and average first-day returns of IPOs, the equity share in new issues,

    and the dividend premium — each orthogonalised to a set of macroeconomic conditions. Proxies are

    measured annually, 1962–2001.

  • Sorting: form decile portfolios on characteristics linked to valuation difficulty / arbitrage costs
  • (size, age, return volatility, profitability, dividend policy, growth/distress).

  • Test: sort firm-months first by beginning-of-period sentiment (above/below median), then by
  • characteristic decile; compare subsequent monthly returns conditional on sentiment.


    Evidence and replication

    Monthly stock returns, 1963–2001 (accounting data matched July t to June t+1, à la Fama-French).

    Conditional return spreads from Table 3 (per month):


    CharacteristicAfter LOW sentimentAfter HIGH sentiment
    Size (small − large)small earn 2.33% vs large 0.91% (Banz size effect present)size effect vanishes
    Age (old − young, dec10−dec1)old earn 0.47% moreold earn 0.72% less (sign flip; no unconditional effect)
    Profitability (profitable − unprofitable)profitable 0.85% lowerprofitable 0.32% higher (sign flip)
    Dividends (payers − nonpayers)payers 0.77% lowerpayers 0.45% higher (sign flip)

    Returns are higher across the board after low sentiment. The result is conditional and statistical,

    not a clean always-on long-short factor; its out-of-sample strength is debated and depends on how

    sentiment is measured.


    Why it might work

  • Limits to arbitrage: hard-to-value, hard-to-short stocks can stay mispriced longest.
  • Sentiment-driven demand from noise traders pushes speculative stocks above fundamentals when
  • optimism is high, depressing their subsequent returns.


    Limitations and risks

  • Index construction: proxy choice, orthogonalisation, and look-ahead in building the index.
  • Regime dependence and non-stationarity of the sentiment-return relation.
  • Tradability: the short leg concentrates in expensive-to-short small caps.

  • Key references

  • Baker, M. & Wurgler, J. (2006) — Investor Sentiment and the Cross-Section of Stock Returns — Journal of Finance
  • Baker, M. & Wurgler, J. (2007) — Investor Sentiment in the Stock Market — Journal of Economic Perspectives
  • De Long, J. B. et al. (1990) — Noise Trader Risk in Financial Markets — Journal of Political Economy
  • Stambaugh, R., Yu, J. & Yuan, Y. (2012) — The Short of It: Investor Sentiment and Anomalies — Journal of Financial Economics


  • Provenance: verified/generated from the paper's full text.


    Community-maintained wiki — anyone can suggest an edit or view its revision history. Not peer-reviewed; verify claims against the original paper.

    Wiki last updated: June 22, 2026