Research

In this paper, we infer how the estimates of firm value by "optimists" and "pessimists" evolve in response to information shocks. Specifically, we examine returns and disagreement measures for portfolios of short-sale-constrained stocks that have experienced large gains or large losses. Our analysis suggests the presence of two groups, one of which overreacts to new information and remains biased over about 5 years, and a second group, which underreacts and whose expectations are unbiased after about 1 year. Our results have implications for the belief dynamics that underlie the momentum and long-term reversal effect.

A common practice in the finance literature is to create characteristic portfolios by sorting on characteristics associated with average returns. We show that the resultant portfolios are likely to capture not only the priced risk associated with the characteristic but also unpriced risk. We develop a procedure to remove this unpriced risk using covariance information estimated from past returns. We apply our methodology to the five Fama-French characteristic portfolios. The squared Sharpe ratio of the optimal combination of the resultant characteristic-efficient portfolios is 2.13, compared with 1.17 for the original characteristic portfolios.

We show, using data from the Italian Survey on Household Income and Wealth and the German Socio-economic Panel, that household consumption drops after a child moves out of a household, while at the same time adult-equivalent consumption increases significantly. After all children are gone, parents upgrade their personal lifestyle to a level approximately that of childless peers, and save only a small proportion of the freed-up resources. Since parents had fewer resources to save while they were young, retirement preparedness among them is a more serious concern than among childless individuals.

Streaks in returns, which we define as n-day consecutive over-/under-performance relative to the market, predict future daily returns. A value-weighted portfolio buying stocks with negative streaks and selling stocks with positive streaks yields annualized Sharpe ratios around 2. We successfully replicate the result in international equity markets and find low correlations across regions. Predictability is robust among the largest (market capitalization above the 50% or 80% NYSE quantiles) and most liquid stocks (low quoted bid-ask spread or Amihud measure tercile). A model of short-term return extrapolation among investors generates predictions consistent with the empirical findings.