Consistent with neoclassical models with investment lags, we find that a bottom-up measure of aggregate investment plans, namely, aggregate expected investment growth, negatively predicts future stock market returns. with an adjusted in-sample R2 of 18.5% and an out-of-sample R2 of 16.3% at the...

Consistent with neoclassical models with investment lags, we find that a bottom-up measure of aggregate investment plans, namely, aggregate expected investment growth, negatively predicts future stock market returns. with an adjusted in-sample R2 of 18.5% and an out-of-sample R2 of 16.3% at the...

We propose a measure of corporate investment plans, namely, the expected investment growth (EIG). We document a robust finding that firms with high EIG have larger future investment growth and earn significantly higher returns than firms with low EIG, which cannot be fully explained by leading...

We propose a novel measure of investment plans, namely, expected investment growth (EIG) and find stocks with high EIG outperform stocks with low EIG by 17% per annum. This premium can be generated in a neoclassical model with the investment plan friction, in which a firm's expected returns...

A bottom-up measure of aggregate investment plans, namely, aggregate expected investment growth (AEIG) can negatively predict market returns. At the one-year horizon, the adjusted in-sample R-square is 18.2% and the out-of-sample R-square is 14.4%. The return predictive power is robust after...

Not really. Decomposing firm size (i.e., market equity) into horizon-based components, we find that size five years ago explains 80% of the current size but has little predictive power for future returns. In contrast, the change in size over the prior two to five years explains only 18% of the...

Consistent with neoclassical models with investment lags, we find that a bottom-up measure of aggregate investment plans, namely, aggregate expected investment growth, negatively predicts future stock market returns. with an adjusted in-sample R2 of 18.5% and an out-of-sample R2 of 16.3% at the...