A model-free identification of relative risk

C-Tier
Journal: Economics Letters
Year: 2020
Volume: 190
Issue: C

Score contribution per author:

1.005 = (α=2.01 / 1 authors) × 0.5x C-tier

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

Abstract

We propose a novel approach of identifying the relative risk of portfolios (e.g. hedge funds) when the model of returns is unknown but assumed linear in parameters. We demonstrate how to rank funds in terms of loadings on unobserved risk.

Technical Details

RePEc Handle
repec:eee:ecolet:v:190:y:2020:i:c:s0165176520300768
Journal Field
General
Author Count
1
Added to Database
2026-01-25