This paper studies equilibrium portfolio choice and asset returns using a new model of recursive preferences called optimal risk attitude utility. Our model is an extension of recursive expected utility that allows an individual to optimally select her risk aversion parameter in response to the...

To study intertemporal decisions under risk, we develop a new recursive model of non-expected-utility preferences. The main axiom of our analysis is called mixture aversion, as it captures a dislike of probabilistic mixtures of lotteries. Our representation for mixture-averse preferences can be...

We examine asset prices in a representative-agent model of general equilibrium. Assuming only that individuals are risk averse, we determine conditions on the changes in asset risk that are both necessary and sufficient for the asset price to fall. We show that these conditions neither imply,...

I generalize the long-run risks (LRR) model of Bansal and Yaron (2004) by incorporating recursive smooth ambiguity aversion preferences from Klibanoff et al. (2005, 2009) and time-varying ambiguity. Relative to the Bansal-Yaron model, the generalized LRR model is as tractable but more flexible...

This paper shows the success of valuation risk-time‐preference shocks in Epstein-Zin utility-in resolving asset pricing puzzles rests sensitively on the way it is introduced. The specification used in the literature is at odds with several desirable properties of recursive preferences because...

The last 30 years saw substantial increases in wealth inequality and in stock market participation, smaller increases in consumption inequality and the fraction of indebted households, a decline in interest rates and in the expected equity premium, as well as a prolonged stock market boom....

Any time series can be decomposed into cyclical components fluctuating at different frequencies. Accordingly, in this paper we propose a method to forecast the stock market's equity premium which exploits the frequency relationship between the equity premium and several predictor variables. We...