Risk Decomposition for Fund Managers
Author(s) -
Matthew Dixon
Publication year - 2021
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.2610188
Subject(s) - cvar , portfolio , decomposition , value at risk , computer science , class (philosophy) , actuarial science , asset (computer security) , project portfolio management , portfolio optimization , econometrics , risk management , expected shortfall , finance , business , economics , artificial intelligence , ecology , biology , computer security , management , project management
This paper describes a methodology extension for decomposing non-linear portfolio risk by fund manager which we refer to as "Manager Component Value-at-Risk." The approach is well suited to funds holding any asset class or instrument type including derivatives. This decomposition approach is additive and fully captures the correlations between instrument returns and thus is well suited for decomposing risk by manager. We provide an example from a representative CTA portfolio that demonstrates superiority of the decomposition approach over other common practices for risk decomposition. The core methodology is implemented in R and made available to readers.
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