Asymptotic Inference for Performance Fees and the Predictability of Asset Returns

Michael McCracken and Giorgio Valente ()

No 2012-049, Working Papers from Federal Reserve Bank of St. Louis

Abstract: In this paper we provide analytical, simulation, and empirical evidence on a test of equal economic value from competing predictive models of asset returns. We define economic value using the concept of a performance fee - the amount an investor would be willing to pay to have access to an alternative predictive model that is used to make investment decisions. We establish that this fee can be asymptotically normal under modest assumptions. Monte Carlo evidence shows that our test can be accurately sized in reasonably large samples. We apply the proposed test to predictions of the US equity premium.

Keywords: Forecasting (search for similar items in EconPapers)
Pages: 36 pages
Date: 2012
New Economics Papers: this item is included in nep-ecm and nep-for
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Citations: View citations in EconPapers (4)

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Journal Article: Asymptotic Inference for Performance Fees and the Predictability of Asset Returns (2018)
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