Performance Evaluation of Investment Funds with DEA and Higher Moments Characteristics: Financial Engineering Perspective

Jian Guo , Chaoqun Ma , Zhongbao Zhou
{"title":"Performance Evaluation of Investment Funds with DEA and Higher Moments Characteristics: Financial Engineering Perspective","authors":"Jian Guo ,&nbsp;Chaoqun Ma ,&nbsp;Zhongbao Zhou","doi":"10.1016/j.sepro.2011.10.033","DOIUrl":null,"url":null,"abstract":"<div><p>With the development of funds market, the research of funds performance evaluation are becoming an important topic in the field of financial engineering. In the previous research, performance evaluation of investment funds was based on some typical hypothesis, and higher moment of the assets return was mostly neglected. However, a great amount of research, both theoretical and empirical, has supported the existence of nonnormality of portfolio return and the important role of higher moments of return in the investors’ utility. This has led to widespread suspicion of the validity of the traditional evaluation methodology. In this paper, data envelopment analysis (DEA) is used to evaluate the performance of the funds in the consideration of higher moments. The results show that the evaluation score is related to the utility preference of the investors, which indicates that the evaluation results are more realistic and consistent with the investors’ preference.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"3 ","pages":"Pages 209-216"},"PeriodicalIF":0.0000,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2011.10.033","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Systems Engineering Procedia","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211381911001226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

Abstract

With the development of funds market, the research of funds performance evaluation are becoming an important topic in the field of financial engineering. In the previous research, performance evaluation of investment funds was based on some typical hypothesis, and higher moment of the assets return was mostly neglected. However, a great amount of research, both theoretical and empirical, has supported the existence of nonnormality of portfolio return and the important role of higher moments of return in the investors’ utility. This has led to widespread suspicion of the validity of the traditional evaluation methodology. In this paper, data envelopment analysis (DEA) is used to evaluate the performance of the funds in the consideration of higher moments. The results show that the evaluation score is related to the utility preference of the investors, which indicates that the evaluation results are more realistic and consistent with the investors’ preference.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
具有DEA和高矩特征的投资基金绩效评价:金融工程视角
随着基金市场的发展,基金绩效评价的研究正成为金融工程领域的一个重要课题。在以往的研究中,投资基金的绩效评价都是基于一些典型的假设,大多忽略了资产收益的较高时刻。然而,大量的理论和实证研究都支持了投资组合收益不正常的存在,以及高收益时刻对投资者效用的重要作用。这导致人们普遍怀疑传统评价方法的有效性。本文采用数据包络分析(DEA)在考虑高矩的情况下对基金的绩效进行评价。结果表明,评价得分与投资者的效用偏好相关,说明评价结果更符合投资者的效用偏好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Contents Contents Contents A Variation Coefficient Similarity Measure and Its Application in Emergency Group Decision-making Coherent Distortion Risk Measures in Portfolio Selection
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1