English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113656/144643 (79%)
Visitors : 51713683      Online Users : 604
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/152838


    Title: ESG評等與盈餘表現對股票報酬之影響:以台灣市場為例
    The Impact of ESG Rating and Earnings Performance on Stock Return: Evidence in Taiwan
    Authors: 呂星儒
    Lu, Hsing-Ju
    Contributors: 郭維裕
    江彌修

    Kuo, Wei-Yu
    Chiang, Mi-Hsiu

    呂星儒
    Lu, Hsing-Ju
    Keywords: ESG
    ESG評等
    盈餘表現
    盈餘驚喜
    機器學習
    分類迴歸樹
    ESG
    ESG ratings
    Earnings performance
    Earnings surprise
    Machine learning
    Classification and regression trees
    Date: 2024
    Issue Date: 2024-08-05 14:18:22 (UTC+8)
    Abstract: 本研究旨在探討ESG評等對台灣股市報酬率的影響,並使用非線性機器學習模型,分類迴歸樹(CART)分析ESG評等與公司盈餘表現之間的交互作用。研究期間涵蓋2016至2023年,採用台灣經濟新報資料庫中的台灣上市公司資料進行多變量分析。本文首先探討公司盈餘表現與ESG評等對股票報酬的單一變量影響,隨後利用分類迴歸樹進一步分析每股盈餘變化量、每股盈餘不符預期的程度及ESG評等對股票報酬的共同對報酬率的影響。實證結果顯示,雖然ESG評等與股票報酬率間並無顯著線性關係且相對盈餘表現,ESG評等對於股票報酬影響之貢獻程度亦不大,但透過迴歸樹模型仍可以識別出影響股票報酬的關鍵非線性交互關係。本研究結果提供投資人若欲將ESG因子納入投資決策時,並不建議單獨評估ESG評等,該指標對於股票報酬影響遠不足其他因素,亦或是建議可以進一步探討ESG評等之細項評估指標,例如將ESG評等拆解成環境(E)、社會(S)與治理(G)不同維度之細項指標,找出其中對於影響股票報酬相對重要的ESG指標。
    The purpose of this study was to investigate the impact of ESG ratings on stock returns in the Taiwanese market. Another aim was to explore the specific impact of the interac-tion between ESG ratings and corporate earnings performance on stock returns. Em-ploying a quantitative methodology, the Classification and Regression Tree (CART) model was utilized to analyze data from publicly listed companies in Taiwan, as record-ed in the Taiwan Economic Journal database for the period 2016 to 2023. The empirical results revealed no significant relationship between ESG ratings and stock returns, and the contribution of ESG ratings was found to be minimal when compared to other fac-tors such as EPS changes and EPS surprise. However, the CART model identified the non-linear interactions that impact stock returns. The study concludes that relying solely on ESG ratings for investment decisions is insufficient and recommends further inves-tigation into specific ESG indicators that could profoundly affect stock returns, thereby aiding investors in making more informed decisions.
    Reference: 李大維(2022)。ESG對臺灣上市櫃公司股票報酬之影響:以新冠肺炎疫情期間為例。國立台灣大學財務金融所碩士論文,台北市。
    游琇螢(2019)。ESG分數對公司績效表現與風險的影響 —以台灣市場為例。國立中央大學財務金融所碩士論文,桃園市。
    孫嘉蔚(2021)。運用機器學習模型分析影響公司風險的ESG因子:以台灣市場為例。國立政治大學金融所碩士論文,台北市。
    安聯投資. (2020). 深度分析:ESG如何提升潛在超額回報? 檢自:https://hk.allianzgi.com/zh-hk/retail/insights/sustainability/esg-insights/esg-strategy-alpha-analysis
    台灣經濟新報. (2022). ESG評等 比一比 - 3大國際評等介紹. 檢自: https://www.tejwin.com/news/esg%E8%A9%95%E7%AD%89/#%E5%88%86%E9%A1%9E%E6%A8%99%E6%BA%96
    台灣經濟新報. (2022). SASB產業分類 更貼近ESG精神. 檢自: https://www.tejwin.com/news/sasb%E7%94%A2%E6%A5%AD%E5%88%86%E9%A1%9E_%E6%9B%B4%E8%B2%BC%E8%BF%91esg%E7%B2%BE%E7%A5%9E/
    國立臺北大學. (2023). 台灣永續投資調查. 檢自: https://cgcss.ntpu.edu.tw/lyadmin/pages/uploads/file/f1_xwk0lax0oc.pdf
    CSRone. (2023). 2023 臺灣暨亞太永續報告現況與趨勢. 檢自: https://csrone.com/reports/5777
    Ashwin Kumar, N. C., Smith, C., Badis, L., Wang, N., Ambrosy, P., & Tavares, R. (2016). ESG factors and risk-adjusted performance: a new quantitative model. Journal of Sustainable Finance & Investment, 6(4), 292–300. https://doi.org/10.1080/20430795.2016.1234909
    Breiman, L., Friedman, J., Olshen, R. A., & Stone, C. J. (1984). Classification and re-gression trees (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9781315139470
    Halbritter, G., & Dorfleitner, G. (2015). The wages of social responsibility—where are they? A critical review of ESG investing. Review of Financial Economics, 26, 25-35. https://doi.org/10.1016/j.rfe.2015.03.004
    Lewis, R. J. (2000). An introduction to classification and regression tree (CART) anal-ysis. In Annual Meeting of the Society of Academic Emergency Medicine. San Francisco, California.
    Loh, W.-Y. (2014). Fifty years of classification and regression trees. International Sta-tistical Review / Revue Internationale de Statistique, 82(3), 329-348.
    Naffa, H., & Fain, M. (2021). A factor approach to the performance of ESG leaders and laggards. Finance Research Letters. https://doi.org/10.1016/j.frl.2021.102073
    PwC. (2023). Global investor survey 2023. from: https://www.pwc.com/gx/en/issues/c-suite-insights/global-investor-survey.html
    Sorensen, E., Mussalli, G., Lancetti, S., & Belanger, D. (2022). ESG, fundamentals, and stock returns. The Journal of Portfolio Management, 48(10). https://doi.org/10.3905/jpm.2022.1.408
    Verheyden, T., Eccles, R. G., & Feiner, A. (2016). ESG for all? The impact of ESG screening on return, risk and diversification. Journal of Applied Corporate Fi-nance, 28(2), 47-55. Available at SSRN: https://ssrn.com/abstract=2834790
    World Economic Forum. (2021). The Global Risks Report 2021 (16th ed.). Geneva: World Economic Forum.
    World Economic Forum. (2022). The Global Risks Report 2022: 17th edition — In-sight report. Geneva: World Economic Forum.
    World Economic Forum. (2023). The Global Risks Report 2023: 18th edition — In-sight report. Geneva: World Economic Forum.
    Description: 碩士
    國立政治大學
    國際金融碩士學位學程
    111ZB1006
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0111ZB1006
    Data Type: thesis
    Appears in Collections:[國際金融碩士學位學程] 學位論文

    Files in This Item:

    File Description SizeFormat
    100601.pdf2009KbAdobe PDF0View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback