We examine whether real-time return forecasts are valuable to an investor looking to allocate their portfolio across a wide selection of countries. We expand the Sum-of-Parts (SoP) method for forecasting stock returns to an international setup by adding FX returns as an additional component. We...

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...

This study presents direct evidence on the question whether investors recognize the widely documented biases in securities analysts' earnings forecasts. The internal rate of return implied by current stock price and consensus earnings forecasts is found to be correlated with indicators of bias...

This paper examines to what extent the momentum spread ratio (MSR) can predict momentum profits. The momentum spread ratio as a potential proxy of investor underreaction can significantly predict the momentum, industry momentum, and residual momentum, especially after 1994, suggesting that...

We propose a belief-generating model from which we build a statistical measure of investor disagreement. We simulate differences in beliefs across investors by endowing them with different machine learning models for forecasting returns from the same set of inputs. We measure disagreement as the...

We analyze the effects of asset return predictability at various horizons on an individual's portfolio strategy and welfare gains as measured by a certainty equivalent return rate, for long term investors. We use a method to account for long horizon predictability that does not make violence to...