General Aggregation of Misspecified Asset Pricing Models
Nikolay Gospodinov () and
Esfandiar Maasoumi ()
No 2017-10, FRB Atlanta Working Paper from Federal Reserve Bank of Atlanta
This paper proposes an entropy-based approach for aggregating information from misspecified asset pricing models. The statistical paradigm is shifted away from parameter estimation of an optimally selected model to stochastic optimization based on a risk function of aggregation across models. The proposed method relaxes the perfect substitutability of the candidate models, which is implicitly embedded in the linear pooling procedures, and ensures that the aggregation weights are selected with a proper (Hellinger) distance measure that satisfies the triangle inequality. The empirical results illustrate the robustness and the pricing ability of the aggregation approach to stochastic discount factor models.
Keywords: entropy; model aggregation; asset pricing; misspecified models; oracle inequality; Hellinger distance (search for similar items in EconPapers)
JEL-codes: C13 C52 G12 (search for similar items in EconPapers)
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