Snapshots of Paying for Risk, Not Luck: Rethinking Incentives in Asset Management

Quickly apply original, key PMR-published papers with Snapshots—a short article companion that distills PMR research into compressed, digestible takeaways, so you can put the paper’s core ideas to work in your investment process—fast. This Snapshot article is based on research arguing that strong performance can attract disproportionately large inflows while weak performance is penalized more gradually, encouraging managers to take more risk than investors intend; tying compensation to agreed risk levels can better align incentives.

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Publication Details

Journal
Practical Applications
Published
2026-11-02
DOI
https://doi.org/10.3905/snp.2026.jpm.074
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
0.00
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article

Snapshots of Paying for Risk, Not Luck: Rethinking Incentives in Asset Management

Derived from original PMR research written by Juan F. Imbet, Igor Yelnik, and Frank J. Fabozzi using AI and an editor
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Practical Applications
Financial Markets and Investment Strategies
article

Snapshots of Paying for Risk, Not Luck: Rethinking Incentives in Asset Management

Derived from original PMR research written by Juan F. Imbet, Igor Yelnik, and Frank J. Fabozzi using AI and an editor
article en

Abstract

Quickly apply original, key PMR-published papers with Snapshots—a short article companion that distills PMR research into compressed, digestible takeaways, so you can put the paper’s core ideas to work in your investment process—fast. This Snapshot article is based on research arguing that strong performance can attract disproportionately large inflows while weak performance is penalized more gradually, encouraging managers to take more risk than investors intend; tying compensation to agreed risk levels can better align incentives.

Practical Applications
Openalex Percentile: Top 12%
Financial Markets and Investment Strategies
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Snapshots of Paying for Risk, Not Luck: Rethinking Incentives in Asset Management — Derived from original PMR research written by Juan F. Imbet, Igor Yelnik, and Frank J. Fabozzi using AI and an editor · Practical Applications (2026) | TGRS Research Map | TGRS