MEASURING EFFECTS ON STOCK RETURNS OF SENTIMENT INDEXES CREATED FROM STOCK MESSAGE BOARDS

Various techniques and sources of information exist to aid investors in predicting future stock returns. However, no effective proxy for retail investors, such as stock message board users, has been established. This study provides guidelines for creating an effective proxy. The heart of such proxies is sentiment indexes, and in the past the indexes have had low predictive power. Introducing four methodological improvements for applying text classifiers and two probability measurements, we contrast eight widely applied text classifiers to stock message board data. Based on the classifier results and incorporating our new methods, the new sentiment index proves to be a significant “same‐day positive but next‐day negative” directional indicator.     

Limits‐to‐arbitrage,investment frictions,and the investment effect: New evidence

This study comprehensively reexamines the debate over behavioral and rational explanations for the investment effect in an updated sample. We closely follow the previous literature and provide several differences. Our tests include five prominent measures of corporate investment and corporate profitability in q‐theory and recent investment‐based asset pricing models. Both classical and Bayesian inferences show that limits‐to‐arbitrage tend to be supported by more evidence than investment frictions for all investment measures. When idiosyncratic volatility and cash flow volatility are used in measuring investment frictions, the inference is more favorable for the rational explanation.     

SUSTAINABLE GROWTH AND STOCK RETURNS

We examine relations between sustainable growth and stock returns over 1964–2007. Findings indicate that high sustainable growth firms tend to have low default risk, low book‐to‐market ratios, and low subsequent returns. Of the four sustainable growth components, we find that the net profit margin is the major determinant of subsequent returns. Results persist after controlling for asset growth and capital expenditure growth. Additional tests indicate that the sustainable growth effect is attributable to risk and not to mispricing.     

What explains the investment growth anomaly?

We examine if an existing asset pricing model in an unconditional or conditional setting can explain the investment growth anomaly, as represented by higher returns on stocks of the firms with lower growth in capital expenditures. Our results indicate that the conditional Fama–French 3-factor model that allows factor loadings to be time-varying and further linked to firm-level characteristics and the business cycle can explain the anomaly.     

Investment Irreversibility,Cash Flow Risk,and Value‐Growth Stock Return Effects

We simulate results from a simple real options model to provide insight into the value‐growth stock return anomaly. In our model, firms possess either single (“value” firm) or multiple (“growth” firm) investment opportunities. Our model predicts that growth firms: (1) invest sooner, (2) exhibit greater continuity in capital expenditure over time, (3) have lower book‐to‐market ratios, and (4) generate lower rates of return than value firms.