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FRB Atlanta Working Paper
General Aggregation of Misspecified Asset Pricing Models
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.
Cite this item
Nikolay Gospodinov & Esfandiar Maasoumi, General Aggregation of Misspecified Asset Pricing Models, Federal Reserve Bank of Atlanta, FRB Atlanta Working Paper 2017-10, 01 Nov 2017.
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
Keywords: entropy; model aggregation; asset pricing; misspecified models; oracle inequality; Hellinger distance
This item with handle RePEc:fip:fedawp:2017-10
is also listed on EconPapers
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