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Abstract:
This paper documents a strong cross-momentum effect among industries that are related to each other along the supply chain. Specifically, trading strategies that buy and sell industries based on respectively high and low past returns in related upstream or downstream industries yield significant profits. Cross-industry momentum is distinct from previously documented stock- and industry-level momentum, and other known return factors.

Abstract:
In this paper we propose a general equilibrium model that successfully reproduces the historical experience of the cross section of US stock prices as well as the realized history of the market portfolio. The model achieves this while addressing traditional concerns in the asset pricing literature: A high equity premium and volatility of returns, the long horizon predictability, and a low volatility of the risk free rate. The model combines a rich payoff structure with a habit persistence discount factor, which allows us to identify the effect on prices of idiosyncratic cash flow shocks versus business cycle components.

Abstract:
In this paper we propose a general equilibrium model that successfully reproduces the historical experience of the cross section of US stock prices as well as the realized history of the market portfolio. The model achieves this while addressing traditional concerns in the asset pricing literature: A high equity premium and volatility of returns, the long horizon predictability, and a low volatility of the risk free rate. The model combines a rich payoff structure with a habit persistence discount factor, which allows us to identify the effect on prices of idiosyncratic cash flow shocks versus business cycle components.

Abstract:
We develop an external habit persistence model where the time series of the aggregate portfolio and the cross section of stock returns are simultaneously studied and tested. By applying a slightly modified version of the model of Campbell and Cochrane (1999), we obtain closed form solutions for individual securities prices and returns and a full characterizations of the dynamics of the risk-return characteristics of individual securities. We find that each stock return "beta" with respect to the total wealth portfolios is jointly determined by an aggregate variable that depends on the habit level, and an idiosyncratic asset characteristics that depends on the contribution of the security to total consumption relative to its long-run average contribution. This functional form imposes tight predictions on the cross sectional test, including sign and magnitude of the coefficients, and insures that the explanatory power of the beta comes from the predictable part of the realization of returns. An estimate of the model for a set of 20 industry portfolios is able to explain cross-sectional variation in the conditional expected returns. Moreover, the model generates price consumption ratios for individual industries that track well the empirical ones.

Abstract:
We present evidence supporting the hypothesis that due to investor specialization and market segmentation, value-relevant information diffuses gradually in financial markets. Using the stock market as our setting, we find that (i) stocks that are in economically related supplier and customer industries cross-predict each other's returns, (ii) the magnitude of return cross-predictability declines with the number of informed investors in the market as proxied by the level of analyst coverage and institutional ownership, and (iii) changes in the stock holdings of institutional investors mirror the model trading behavior of informed investors.

Abstract:
This paper provides evidence that analysts who have predicted earnings more accurately than the median analyst in the previous four quarters tend to be simultaneously less accurate and further from the consensus forecast in their subsequent earnings prediction. This phenomenon is economically and statistically meaningful. The results are robust to different estimation techniques and different control variables. Our findings are consistent with an attribution bias that leads analysts who have experienced a short-lived success to become overconfident in their ability to forecast future earnings.

Analysts, Forecasts, Overconfidence, Behavioral finance, Behavioral economics, Accounting

Abstract:
We propose a general equilibrium model with multiple securities in which investors' risk preferences and expectations of dividend growth are time-varying. While time-varying risk preferences induce the standard positive relation between the dividend yield and expected returns, time-varying expected dividend growth induces a negative relation between them. These offsetting effects reduce the ability of the dividend yield to forecast returns and eliminate its ability to forecast dividend growth, as observed in the data. The model links the predictability of returns to that of dividend growth, suggesting specific changes to standard linear predictive regressions for both. The model's predictions are confirmed empirically.