Pitfalls in Risk Attribution

B. Davis, J. Menchero
{"title":"Pitfalls in Risk Attribution","authors":"B. Davis, J. Menchero","doi":"10.2139/ssrn.1823628","DOIUrl":null,"url":null,"abstract":"While performance analysis is typically conducted on a benchmark-relative basis, risk analysis is often presented on an absolute-return basis. This mismatch between sources of risk and return leads to the pitfall that active management decisions cannot be evaluated on a risk-adjusted basis. In particular, usage of absolute return sources in risk attribution may lead to non-intuitive marginal contributions to risk and flagging aggressive positions as risk reducing. These pitfalls can be addressed by using relative MCARs, which result in a set of consistent and intuitive effects across securities, sectors, and factors.","PeriodicalId":335960,"journal":{"name":"MSCI Research Paper Series","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MSCI Research Paper Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.1823628","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

While performance analysis is typically conducted on a benchmark-relative basis, risk analysis is often presented on an absolute-return basis. This mismatch between sources of risk and return leads to the pitfall that active management decisions cannot be evaluated on a risk-adjusted basis. In particular, usage of absolute return sources in risk attribution may lead to non-intuitive marginal contributions to risk and flagging aggressive positions as risk reducing. These pitfalls can be addressed by using relative MCARs, which result in a set of consistent and intuitive effects across securities, sectors, and factors.
风险归因的陷阱
虽然绩效分析通常是在基准相对基础上进行的,但风险分析通常是在绝对回报基础上进行的。这种风险来源和回报之间的不匹配导致了一个陷阱,即主动管理决策不能在风险调整的基础上进行评估。特别是,在风险归因中使用绝对回报来源可能导致对风险的非直觉边际贡献,并将激进头寸标记为风险减少。这些陷阱可以通过使用相对mcar来解决,这会在证券、行业和因素之间产生一系列一致和直观的影响。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信