We develop a simple parametric model in which hypotheses about predictability, mispricing, and the risk-return tradeoff can be evaluated simultaneously, while allowing for time variation in both risk and expected return. Most of the return predictability based on aggregate payout yield is unrelated to market risk. We consider a range of Bayesian prior beliefs about the risk-return tradeoff and the extent to which predictability is driven by mispricing. The impact of these beliefs on an investor’s certainty-equivalent return when choosing between a market index and riskless T-bills is economically significant, in both ex ante and out-of-sample analyses
Recent evidence of predictability in asset returns has led to an increased interest in dynamic asset...
Suppose a fund manager uses predictors in changing portfolio allocations over time. How does predic...
We study asset pricing when agents face model uncertainty and empirically demonstrate that model unc...
We develop a simple parametric model in which hypotheses about predictability, mispricing, and the r...
In the asset pricing literature, timevariation in market expected excess return captured by ficial r...
Sample evidence about the predictability of monthly stock returns is considered from the perspective...
Sample evidence about the predictability of monthly stock returns is considered from the perspective...
We examine the evidence on excess stock return predictability in a Bayesian setting in which the inv...
How investors should allocate assets to their portfolios in the presence of predictable components i...
We use Bayesian model averaging to analyze industry return predictability in the presence of model u...
We investigate to what extent the market uses information that is predictive of whether earnings wil...
This paper introduces a model of Bayesian decision making where a person’s beliefs about the likelih...
This is the first of two articles which apply certain principles of inference to a practical, financ...
We study asset pricing when agents face risk and uncertainty and empirically demonstrate that uncert...
We study how stock return's predictability and model uncertainty affect a rational buy-and-hold inve...
Recent evidence of predictability in asset returns has led to an increased interest in dynamic asset...
Suppose a fund manager uses predictors in changing portfolio allocations over time. How does predic...
We study asset pricing when agents face model uncertainty and empirically demonstrate that model unc...
We develop a simple parametric model in which hypotheses about predictability, mispricing, and the r...
In the asset pricing literature, timevariation in market expected excess return captured by ficial r...
Sample evidence about the predictability of monthly stock returns is considered from the perspective...
Sample evidence about the predictability of monthly stock returns is considered from the perspective...
We examine the evidence on excess stock return predictability in a Bayesian setting in which the inv...
How investors should allocate assets to their portfolios in the presence of predictable components i...
We use Bayesian model averaging to analyze industry return predictability in the presence of model u...
We investigate to what extent the market uses information that is predictive of whether earnings wil...
This paper introduces a model of Bayesian decision making where a person’s beliefs about the likelih...
This is the first of two articles which apply certain principles of inference to a practical, financ...
We study asset pricing when agents face risk and uncertainty and empirically demonstrate that uncert...
We study how stock return's predictability and model uncertainty affect a rational buy-and-hold inve...
Recent evidence of predictability in asset returns has led to an increased interest in dynamic asset...
Suppose a fund manager uses predictors in changing portfolio allocations over time. How does predic...
We study asset pricing when agents face model uncertainty and empirically demonstrate that model unc...