Asymptotic Inference for Performance Fees and the Predictability of Asset Returns

A-Tier
Journal: Journal of Business & Economic Statistics
Year: 2018
Volume: 36
Issue: 3
Pages: 426-437

Authors (2)

Score contribution per author:

2.011 = (α=2.01 / 2 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

In this article, 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 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 U.S. equity premium.

Technical Details

RePEc Handle
repec:taf:jnlbes:v:36:y:2018:i:3:p:426-437
Journal Field
Econometrics
Author Count
2
Added to Database
2026-01-26