How Performance of Risk-Based Strategies is Modified by Socially Responsible Investment Universe?

P. Bertrand, Vincent Lapointe
{"title":"How Performance of Risk-Based Strategies is Modified by Socially Responsible Investment Universe?","authors":"P. Bertrand, Vincent Lapointe","doi":"10.2139/ssrn.2282372","DOIUrl":null,"url":null,"abstract":"Risk-based allocation strategies, also known as Smart Beta allocations, define the weights of assets in portfolios as functions of the individual and common asset risk. In this paper we focus on the Minimum Variance (MV), Maximum Diversification (MD), Equal Risk Contribution (ERC) and Equal-Weight (EW) risk-based allocation strategies. The popularity of risk-based strategy is commonly justified by their good record of out-performing the cap-weighted (CW) allocation strategy. Because of the low-volatility profile of risk-based allocations this is especially true when crises occur. From March 15, 2002 to May 1, 2012 we investigate how using a socially responsible investment universe impacts performance of risk-based allocation strategies. We use different measures of performance, included risk-adjusted one (multi-factor models), and we propose to disentangle the effect of using a SRI universe from the effect of using risk-based allocations. SRI universe only contains firms that have good environmental, social and governance performance. This kind of filtering is increasingly popular among institutional investors. On the estimation period, using European stocks, we find that the use of the SRI universe has a positive contribution to risk-adjusted performance of risk-based allocations. However this contribution is not uniform among all the risk-based allocation strategies and, can represent only a small part of the total alpha that is observed.","PeriodicalId":365755,"journal":{"name":"ERN: Other Econometrics: Mathematical Methods & Programming (Topic)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Other Econometrics: Mathematical Methods & Programming (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2282372","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 33

Abstract

Risk-based allocation strategies, also known as Smart Beta allocations, define the weights of assets in portfolios as functions of the individual and common asset risk. In this paper we focus on the Minimum Variance (MV), Maximum Diversification (MD), Equal Risk Contribution (ERC) and Equal-Weight (EW) risk-based allocation strategies. The popularity of risk-based strategy is commonly justified by their good record of out-performing the cap-weighted (CW) allocation strategy. Because of the low-volatility profile of risk-based allocations this is especially true when crises occur. From March 15, 2002 to May 1, 2012 we investigate how using a socially responsible investment universe impacts performance of risk-based allocation strategies. We use different measures of performance, included risk-adjusted one (multi-factor models), and we propose to disentangle the effect of using a SRI universe from the effect of using risk-based allocations. SRI universe only contains firms that have good environmental, social and governance performance. This kind of filtering is increasingly popular among institutional investors. On the estimation period, using European stocks, we find that the use of the SRI universe has a positive contribution to risk-adjusted performance of risk-based allocations. However this contribution is not uniform among all the risk-based allocation strategies and, can represent only a small part of the total alpha that is observed.
社会责任投资领域如何修改基于风险的战略绩效?
基于风险的配置策略,也被称为Smart Beta配置,将投资组合中资产的权重定义为个人和共同资产风险的函数。本文主要研究了最小方差(MV)、最大分散(MD)、等风险贡献(ERC)和等权重(EW)风险配置策略。基于风险的投资策略之所以受欢迎,通常是因为它们的表现优于上限加权(CW)投资策略。由于基于风险的配置的低波动性,在危机发生时尤其如此。从2002年3月15日到2012年5月1日,我们研究了社会责任投资如何影响基于风险的配置策略的绩效。我们使用不同的绩效衡量标准,包括风险调整后的一个(多因素模型),我们建议将使用SRI的影响与使用基于风险的配置的影响分开。SRI领域只包含具有良好环境、社会和治理绩效的公司。这种过滤方式在机构投资者中越来越受欢迎。在估计期内,使用欧洲股票,我们发现SRI的使用对基于风险的配置的风险调整绩效有积极的贡献。然而,这种贡献在所有基于风险的分配策略中是不一致的,并且只能代表观察到的总alpha的一小部分。
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