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We analyze the optimal stock-bond portfolio under both learning and ambiguity aversion. Stock returns are predictable by an observable and an unobservable predictor, and the investor has to learn about the latter. Furthermore, the investor is ambiguity-averse and has a preference for investment...
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. Expected utility losses are increasing in the number of term structure factors and the complexity of the risk premium … specification. Even with long data sets to estimate parameters, an investor with typical risk aversion is better off following a …-factor affine model with time-varying risk premia …
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