题名: | 基于评级分歧的 ESG 投资策略优化研究 |
作者: | |
学号: | SZ2209011 |
保密级别: | 公开 |
语种: | chi |
学科代码: | 025100 |
学科: | 经济学 - 金融 |
学生类型: | 硕士 |
学位: | 专业学位硕士 |
入学年份: | 2022 |
学校: | 南京航空航天大学 |
院系: | |
专业: | |
研究方向: | 现代投资分析与管理 |
导师姓名: | |
导师单位: | |
完成日期: | 2025-03-14 |
答辩日期: | 2025-03-14 |
外文题名: |
Research on the Optimization of ESG Investment Strategies Based on Rating Discrepancy |
关键词: | |
外文关键词: | ESG investment strategy ; ESG rating disagreement ; stock returns ; portfolio optimization ; portfolio performance evaluation |
摘要: |
随着社会对可持续发展的重视,环境、社会责任和公司治理(ESG)理念在企业经营和投资决策中扮演着越来越重要的角色。ESG投资就是将环境、社会和公司治理因素纳入投资策略,目前国际上广泛使用的ESG投资策略主要包括ESG筛选、ESG整合、可持续主题投资等几大类。作为衡量企业ESG表现的重要工具,ESG评分成为投资者决策的重要参考。然而,由于ESG评级依赖于非标准化的企业报告和第三方评估,不同机构对同一公司的ESG评分存在显著分歧,这对投资者依赖单一ESG评分进行股票筛选构成了挑战。本文旨在探讨ESG评级分歧对股票投资回报的影响,通过引入ESG评级分歧因子,优化仅基于评分的ESG投资策略,以提高投资绩效和风险控制能力。 本文基于2011-2023年A股上市公司数据,采用面板回归分析和投资组合构建方法展开研究。首先,通过搜集五家主流评级机构的ESG评分数据,计算不同机构之间的ESG评级分歧,并利用面板回归模型检验ESG评级分歧对股票收益率的影响,研究发现,ESG评级分歧显著降低了股票回报率,且这一结论在替换变量、改变样本周期和内生性检验中均表现稳健。接着,基于ESG筛选和ESG整合两种投资策略,分别构建了仅基于ESG评分的对照组投资组合和引入ESG评级分歧的优化组投资组合,通过比较不同投资组合的绩效,本文发现,综合考虑ESG评分和ESG评级分歧的投资组合在夏普比率、特雷诺指数和詹森α等绩效指标上表现更优。例如,ESG筛选策略月收益率从0.91%提高到1.31%,ESG整合策略月收益率从-0.01%提高到0.17%。此外,本文还基于沪深300成分股进行了稳健性检验,得出了类似的结论。 基于研究结果,本文建议在构建投资组合时应综合考虑ESG评分和ESG评级分歧,以识别市场低估的公司或避免高估风险的公司,从而有效管理ESG风险并提高超额收益。本文还从政府、ESG评级机构、企业和投资者的角度提出了关注和解决ESG评级分歧的对策建议,以促进ESG投资的进一步发展和完善。 |
外摘要要: |
With the increasing emphasis on sustainable development in society, environmental, social responsibility, and corporate governance (ESG) concepts are playing an increasingly important role in business operations and investment decisions. ESG investment refers to incorporating environmental, social, and corporate governance factors into investment strategies. Currently, the widely used ESG investment strategies internationally mainly include ESG screening, ESG integration, and sustainable themed investments. As an important tool for measuring a company's ESG performance, ESG ratings have become a crucial reference for investors' decision-making. However, due to the reliance of ESG ratings on non standardized corporate reports and third-party evaluations, there are significant differences in the ESG ratings of the same company among different institutions, which poses a challenge for investors to rely on a single ESG rating for stock screening. This article aims to explore the impact of ESG rating divergence on stock investment returns, by introducing ESG rating divergence factors and optimizing rating based ESG investment strategies to improve investment performance and risk control capabilities. This article is based on data from A-share listed companies from 2011 to 2023, and uses panel regression analysis and investment portfolio construction methods to conduct research. Firstly, by collecting ESG rating data from five mainstream rating agencies, the ESG rating divergence between different agencies was calculated, and a panel regression model was used to test the impact of ESG rating divergence on stock returns. The study found that ESG rating divergence significantly reduced stock returns, and this conclusion was robust in replacing variables, changing sample periods, and endogeneity tests. Subsequently, based on two investment strategies of ESG screening and ESG integration, a control group investment portfolio solely based on ESG ratings and an optimization group investment portfolio incorporating ESG rating divergence were constructed. By comparing the performance of different investment portfolios, this study found that the investment portfolio that comprehensively considers ESG ratings and ESG rating divergence performed better on performance indicators such as Sharpe ratio, Treynor index, and Jensen alpha. For example, the monthly return rate of ESG screening strategy increased from 0.91% to 1.31%, and the monthly return rate of ESG integration strategy increased from -0.01% to 0.17%. In addition, this article also conducted a robustness test based on the Shanghai and Shenzhen 300 constituent stocks and reached similar conclusions. Based on the findings, this paper suggests that ESG scores and ESG rating divergence should be considered comprehensively when constructing portfolios to identify companies that are underestimated by the market or avoid companies with overestimated risks, so as to effectively manage ESG risks and enhance excess returns. This paper also proposes countermeasures to focus on and resolve ESG rating divergence from the perspectives of the government, ESG rating agencies, corporations and investors, in order to promote the further development and improvement of ESG investment. |
参考文献: |
[1]Jose Salazar.Environmental Finance:Linking Two World[R].Bratislava,Slovakia,1998. [4]高世楫,俞敏.中国提出“双碳”目标的历史背景、重大意义和变革路径[J].新经济导刊,2021(02):4-8. [5]庄贵阳.我国实现“双碳”目标面临的挑战及对策[J].人民论坛,2021(18):50-53. [6]王遥,任玉洁.“双碳”目标下的中国绿色金融体系构建[J].当代经济科学,2022,44(05):1-13+139. [7]操群,许骞.金融“环境、社会和治理”(ESG)体系构建研究[J].金融监管研究,2019(04):95-111. [8]李小荣,徐腾冲.环境-社会责任-公司治理研究进展[J].经济学动态,2022,No.738(08):133-146. [9]张小溪,马宗明.双碳目标下ESG与上市公司高质量发展——基于ESG“101”框架的实证分析[J].北京工业大学学报(社会科学版),2022,22(05):101-122. [17]马文杰,余伯健.企业所有权属性与中外ESG评级分歧[J].财经研究,2023,49(06):124-136. [18]郄海拓,赵丹阳,李靖.中国互联网服务企业ESG评级差异分析及对策探讨[J].企业改革与管理,2022,No.427(14):72-75. [23]吴世农,韦绍永.上海股市投资组合规模和风险关系的实证研究[J].经济研究,1998(04):22-25+27+30. [26]陈宇欣.基于收益与风险分析的股票投资组合研究[J].支点,2023,(05): [27]周廷森.股票投资组合分析——基于均值-方差模型[J].经济研究导刊,2022(23):85-88. [30]左晓冬.基于投资者情绪和深度强化学习的股票投资组合优化研究[J].中国管理信息化,2023,26(03):130-133. [31]梁鑫鑫,危平.中国股票市场“绿化”投资组合的策略选择研究[J].上海财经大学学报,2019,21(03):49-62. [32]金希恩.全球ESG投资发展的经验及对中国的启示[J].现代管理科学,2018,(09):15-18. [33]Hvidkjær S. ESG investing: a literature review[J]. Report prepared for Dansif, 2017. [36]张小溪.ESG评价的中国化:进程、差异与展望[J].新经济导刊,2024,(05):59-63. [37]陆培丽,董战峰,申雯竹,等.我国ESG投资基金发展趋势分析与展望[J].中国环境管理,2024,16(01):42-48. [38]巴曙松,王彬,王紫宇.ESG投资发展的国内外实践与未来趋势展望[J].福建金融,2023,(02):36-46. [39]Freeman R E. Strategic management: A stakeholder approach[M]. Boston: Pitman, 1984: 24-25. [40]唐婧,李德尚玉.马斯克为何会抨击ESG评级?如何防范“洗绿”风险?[N].21世纪经济报道,2023-09-07(008). [45]邹艳芬,肖志文.ESG“漂绿”对企业绩效的影响研究[J].当代财经,2024,(11):152-164. [52]张云齐,杨淏宇,张笑语.ESG评级分歧与债务资本成本[J].金融评论,2023,15(04):22-43+124. [55]尹海员,胡梦芸.投资风格、意见分歧与股票流动性——来自股票网络社区数据挖掘的证据[J].南方经济,2019,(06):71-89. [56]王积田,田博傲,上官相乐.ESG评级分歧影响审计师风险应对行为吗?——基于关键审计事项披露的视角[J].金融发展研究,2023,(09):13-21. |
中图分类号: | F832.48 |
馆藏号: | 2025-009-0209 |
开放日期: | 2025-09-30 |