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Working Paper
Does Smooth Ambiguity Matter for Asset Pricing?
We use the Bayesian method introduced by Gallant and McCulloch (2009) to estimate consumption-based asset pricing models featuring smooth ambiguity preferences. We rely on semi-nonparametric estimation of a flexible auxiliary model in our structural estimation. Based on the market and aggregate consumption data, our estimation provides statistical support for asset pricing models with smooth ambiguity. Statistical model comparison shows that models with ambiguity, learning and time-varying volatility are preferred to the long-run risk model. We analyze asset pricing implications of the ...
Working Paper
A Likelihood-Based Comparison of Macro Asset Pricing Models
We estimate asset pricing models with multiple risks: long-run growth, long-run volatility, habit, and a residual. The Bayesian estimation accounts for the entire likelihood of consumption, dividends, and the price-dividend ratio. We find that the residual represents at least 80% of the variance of the price-dividend ratio. Moreover, the residual tracks most recognizable features of stock market history such as the 1990's boom and bust. Long run risks and habit contribute primarily in crises. The dominance of the residual comes from the low correlation between asset prices and consumption ...
Working Paper
International R&D Spillovers and Asset Prices
We study the international propagation of long-run risk in the context of a general equilibrium model with endogenous growth. Innovation and international diffusion of technologies are the channels at the core of our mechanism. A calibrated version of the model matches several asset pricing and macroeconomic quantity moments, alleviating some of the puzzles highlighted in the international macro-finance literature. Our model predicts that country-pairs that share more R&D have less volatile exchange rates and more correlated stock market returns. Using data from a sample of 19 developed ...
Working Paper
Ambiguity, Long-Run Risks, and Asset Prices
I generalize the long-run risks (LRR) model of Bansal and Yaron (2004) by incorporatingrecursive smooth ambiguity aversion preferences from Klibanoff et al. (2005, 2009) and time-varyingambiguity. Relative to the Bansal-Yaron model, the generalized LRR model is as tractable but moreflexible due to its separation of ambiguity aversion from both risk aversion and the intertemporalelasticity of substitution. This three-way separation allows the model to further account for thevariance premium puzzle besides the puzzles of the equity premium, the risk-free rate, and the returnpredictability. ...