衡量机构投资者碳暴露的实际应用

IF 0.4 Q4 BUSINESS, FINANCE Journal of Alternative Investments Pub Date : 2020-07-31 DOI:10.3905/jai.22.s4.035
Darwin Choi, Zhenyu Gao, Wenxi Jiang
{"title":"衡量机构投资者碳暴露的实际应用","authors":"Darwin Choi, Zhenyu Gao, Wenxi Jiang","doi":"10.3905/jai.22.s4.035","DOIUrl":null,"url":null,"abstract":"Practical Applications In Measuring the Carbon Exposure of Institutional Investors, from the Summer 2020 issue of The Journal of Alternative Investments, authors Darwin Choi, Zhenyu Gao, and Wenxi Jiang (all of The Chinese University of Hong Kong) present a simple way to measure how heavily institutional portfolios tilt toward or away from stocks of high-carbon-emission firms. They consider two data sources: MSCI’s firm-based Carbon Emission Score and the UN Intergovernmental Panel on Climate Change’s (IPCC) industry classification system. They find that MSCI’s data are less useful because they focus on cleaner firms and create a skewed impression of falling emissions over time. In contrast, the IPCC tracks all US firms, classifies them as high- or low-carbon by industry, and has maintained a constant methodology over time. Choi, Gao, and Jiang combine the IPCC’s data with data from other sources to designate companies in certain industry sectors as high-carbon emitters. They then analyze institutional portfolios and use a formula to determine whether such portfolios tilt toward or away from stocks in those industries. They find that, on average, institutional portfolios were weighted toward high-carbon stocks until 2015—when their high-carbon holdings dropped sharply. Since then, institutional portfolios’ carbon weightings have remained lower than the market average.","PeriodicalId":45142,"journal":{"name":"Journal of Alternative Investments","volume":null,"pages":null},"PeriodicalIF":0.4000,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Practical Applications of Measuring the Carbon Exposure of Institutional Investors\",\"authors\":\"Darwin Choi, Zhenyu Gao, Wenxi Jiang\",\"doi\":\"10.3905/jai.22.s4.035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Practical Applications In Measuring the Carbon Exposure of Institutional Investors, from the Summer 2020 issue of The Journal of Alternative Investments, authors Darwin Choi, Zhenyu Gao, and Wenxi Jiang (all of The Chinese University of Hong Kong) present a simple way to measure how heavily institutional portfolios tilt toward or away from stocks of high-carbon-emission firms. They consider two data sources: MSCI’s firm-based Carbon Emission Score and the UN Intergovernmental Panel on Climate Change’s (IPCC) industry classification system. They find that MSCI’s data are less useful because they focus on cleaner firms and create a skewed impression of falling emissions over time. In contrast, the IPCC tracks all US firms, classifies them as high- or low-carbon by industry, and has maintained a constant methodology over time. Choi, Gao, and Jiang combine the IPCC’s data with data from other sources to designate companies in certain industry sectors as high-carbon emitters. They then analyze institutional portfolios and use a formula to determine whether such portfolios tilt toward or away from stocks in those industries. They find that, on average, institutional portfolios were weighted toward high-carbon stocks until 2015—when their high-carbon holdings dropped sharply. Since then, institutional portfolios’ carbon weightings have remained lower than the market average.\",\"PeriodicalId\":45142,\"journal\":{\"name\":\"Journal of Alternative Investments\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2020-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Alternative Investments\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3905/jai.22.s4.035\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Alternative Investments","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3905/jai.22.s4.035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

摘要

《衡量机构投资者碳敞口的实际应用》(Practical Applications In Measureing the Carbon Exposure of Institutional Investors),载于《另类投资杂志》2020年夏季版,作者Darwin Choi、Zhenyu Gao和Wenxi Jiang(均来自香港中文大学)提供了一种简单的方法来衡量机构投资组合在多大程度上倾向于或远离高碳企业的股票。他们考虑了两个数据来源:MSCI基于公司的碳排放评分和联合国政府间气候变化专门委员会(IPCC)的行业分类系统。他们发现,摩根士丹利资本国际的数据用处不大,因为它们关注的是更清洁的公司,并造成了排放量随时间下降的扭曲印象。相比之下,IPCC跟踪所有美国公司,按行业将其归类为高碳或低碳,并随着时间的推移保持不变的方法。Choi、Gao和Jiang将IPCC的数据与其他来源的数据相结合,将某些行业的公司指定为高碳排放者。然后,他们分析机构投资组合,并使用一个公式来确定这些投资组合是倾向于还是远离这些行业的股票。他们发现,平均而言,机构投资组合一直倾向于高碳股票,直到2015年,它们的高碳持股量急剧下降。自那以后,机构投资组合的碳权重一直低于市场平均水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Practical Applications of Measuring the Carbon Exposure of Institutional Investors
Practical Applications In Measuring the Carbon Exposure of Institutional Investors, from the Summer 2020 issue of The Journal of Alternative Investments, authors Darwin Choi, Zhenyu Gao, and Wenxi Jiang (all of The Chinese University of Hong Kong) present a simple way to measure how heavily institutional portfolios tilt toward or away from stocks of high-carbon-emission firms. They consider two data sources: MSCI’s firm-based Carbon Emission Score and the UN Intergovernmental Panel on Climate Change’s (IPCC) industry classification system. They find that MSCI’s data are less useful because they focus on cleaner firms and create a skewed impression of falling emissions over time. In contrast, the IPCC tracks all US firms, classifies them as high- or low-carbon by industry, and has maintained a constant methodology over time. Choi, Gao, and Jiang combine the IPCC’s data with data from other sources to designate companies in certain industry sectors as high-carbon emitters. They then analyze institutional portfolios and use a formula to determine whether such portfolios tilt toward or away from stocks in those industries. They find that, on average, institutional portfolios were weighted toward high-carbon stocks until 2015—when their high-carbon holdings dropped sharply. Since then, institutional portfolios’ carbon weightings have remained lower than the market average.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.50
自引率
14.30%
发文量
40
期刊介绍: The Journal of Alternative Investments (JAI) provides you with cutting-edge research and expert analysis on managing investments in hedge funds, private equity, distressed debt, commodities and futures, energy, funds of funds, and other nontraditional assets. JAI is the official publication of the Chartered Alternative Investment Analyst Association (CAIA®). JAI provides you with challenging ideas and practical tools to: •Profit from the growth of hedge funds and alternatives •Determine the optimal mix of traditional and alternative investments •Measure and track portfolio performance •Manage your alternative investment portfolio with proven risk management practices
期刊最新文献
Commodity Futures and Trend Inflation Inflation Hedging Potential of Infrastructure Sector and Sub-Sector Returns—Evidence from Emerging Markets Listed Real Estate in a Multi-Asset World: Does It Add Value? Too Much of A Good Thing? Drawbacks of Stressing Measurement of Impact Investing Editor’s Letter
×
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