An Empirical Study on Hedge Fund Portfolio Optimization, Mean-Risk Based Approaches

Abstract This research attempts to investigate the divergences between the Mean-Variance and the Mean-CVaR portfolio optimization methods in examining various assets classes, such as equities, bonds, and especially hedge funds. In order to get a thorough understanding of hedge funds facts and availa...

Full description

Bibliographic Details
Main Author: Li, Yang
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2011
Online Access:https://eprints.nottingham.ac.uk/24851/
_version_ 1848792870178258944
author Li, Yang
author_facet Li, Yang
author_sort Li, Yang
building Nottingham Research Data Repository
collection Online Access
description Abstract This research attempts to investigate the divergences between the Mean-Variance and the Mean-CVaR portfolio optimization methods in examining various assets classes, such as equities, bonds, and especially hedge funds. In order to get a thorough understanding of hedge funds facts and available optimization techniques, relevant literatures are carefully reviewed and incorporated into later stage computer modelling. By constructing three hypothetical portfolios, including traditional assets portfolio, mixed portfolio with hedge fund, and hedge funds portfolio, this research achieves its main purposes and reaches some valuable empirical findings and implications. For instance, the Mean-Variance method may be inappropriate to measure non-normal hedge fund distributions, and hedge funds portfolio has a diminishing return rate with regards to risk variation if measured by the Mean-CVaR optimization approach. Keywords: portfolio optimization; Mean-Variance; Mean-CVaR; hedge funds
first_indexed 2025-11-14T18:51:16Z
format Dissertation (University of Nottingham only)
id nottingham-24851
institution University of Nottingham Malaysia Campus
institution_category Local University
language English
last_indexed 2025-11-14T18:51:16Z
publishDate 2011
recordtype eprints
repository_type Digital Repository
spelling nottingham-248512018-02-15T09:17:40Z https://eprints.nottingham.ac.uk/24851/ An Empirical Study on Hedge Fund Portfolio Optimization, Mean-Risk Based Approaches Li, Yang Abstract This research attempts to investigate the divergences between the Mean-Variance and the Mean-CVaR portfolio optimization methods in examining various assets classes, such as equities, bonds, and especially hedge funds. In order to get a thorough understanding of hedge funds facts and available optimization techniques, relevant literatures are carefully reviewed and incorporated into later stage computer modelling. By constructing three hypothetical portfolios, including traditional assets portfolio, mixed portfolio with hedge fund, and hedge funds portfolio, this research achieves its main purposes and reaches some valuable empirical findings and implications. For instance, the Mean-Variance method may be inappropriate to measure non-normal hedge fund distributions, and hedge funds portfolio has a diminishing return rate with regards to risk variation if measured by the Mean-CVaR optimization approach. Keywords: portfolio optimization; Mean-Variance; Mean-CVaR; hedge funds 2011-09-10 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/24851/1/Li_Yang.pdf Li, Yang (2011) An Empirical Study on Hedge Fund Portfolio Optimization, Mean-Risk Based Approaches. [Dissertation (University of Nottingham only)] (Unpublished)
spellingShingle Li, Yang
An Empirical Study on Hedge Fund Portfolio Optimization, Mean-Risk Based Approaches
title An Empirical Study on Hedge Fund Portfolio Optimization, Mean-Risk Based Approaches
title_full An Empirical Study on Hedge Fund Portfolio Optimization, Mean-Risk Based Approaches
title_fullStr An Empirical Study on Hedge Fund Portfolio Optimization, Mean-Risk Based Approaches
title_full_unstemmed An Empirical Study on Hedge Fund Portfolio Optimization, Mean-Risk Based Approaches
title_short An Empirical Study on Hedge Fund Portfolio Optimization, Mean-Risk Based Approaches
title_sort empirical study on hedge fund portfolio optimization, mean-risk based approaches
url https://eprints.nottingham.ac.uk/24851/