Identifying Long-Run Risks: A Bayesian Mixed-Frequency Approach
نویسندگان
چکیده
منابع مشابه
Habit , Long Run Risks , Prospect ?
We use Bayesian statistical methods to compare the habit persistence asset pricing model of Campbell and Cochrane, the long run risks model of Bansal and Yaron, and the prospect theory model of Barberis, Huang, and Santos. We undertake two types of comparisons, relative and absolute, over two sample periods, 1930–2008 and 1950–2008, using two series, univariate U.S. stock returns and bivariate ...
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The recently developed long-run risks asset pricing model shows that concerns about long-run expected growth and time-varying uncertainty (i.e., volatility) about future economic prospects drive asset prices. These two channels of economic risks can account for the risk premia and asset price fluctuations. In addition, the model can empirically account for the cross-sectional differences in ass...
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We use recently proposed Bayesian statistical methods to compare the habit persistence asset pricing model of Campbell and Cochrane, the long-run risks model of Bansal and Yaron, and the prospect theory model of Barberis, Huang, and Santos. We improve these Bayesian methods so that they can accommodate highly nonlinear models such as the three aforementioned. Our substantive results can be stat...
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ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2013
ISSN: 1556-5068
DOI: 10.2139/ssrn.2332045