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The enhanced benefits of ESG in portfolios: A multi-factor model perspective based on LightGBM

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  • Gong, Xiaomin
  • Xie, Fei
  • Zhou, Zhongsheng
  • Zhang, Chenyang

Abstract

This paper explores the enhanced benefits of ESG in portfolio models from the perspective of a multi-factor prediction model. Firstly, using the traditional Barra multi-factor model as a basis, the Fama-Macbeth test is employed to evaluate the explanatory power of the multi-factor model after incorporating the ESG factor. Considering the non-linear nature of ESG factors, the Light Gradient Boosting Machine (LightGBM) model is utilized for feature identification and optimization, thereby enhancing the accuracy of predicted returns in the multi-factor model. Secondly, two portfolio models, namely Barra+ESG+MV and Barra+ESG+BL models, are constructed by introducing the predicted returns based on Barra and ESG factors into Mean-Variance (MV) and Black-Litterman (BL) models, respectively. This facilitates a further analysis of the benefits of ESG in asset portfolios. Finally, the advanced BPZ model is used to examine the robustness of the gain effect attributed to the environmental (E), social (S), and corporate governance (G) factors in ESG from a non-linear perspective. The findings reveal that ESG significantly improves portfolio performance, particularly in terms of reducing systematic risk. Furthermore, the E, S, and G factors bring universal enhancement effect to the multi-factor model. This study provides new avenues for research on ESG in portfolio management.

Suggested Citation

  • Gong, Xiaomin & Xie, Fei & Zhou, Zhongsheng & Zhang, Chenyang, 2024. "The enhanced benefits of ESG in portfolios: A multi-factor model perspective based on LightGBM," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
  • Handle: RePEc:eee:pacfin:v:85:y:2024:i:c:s0927538x24001161
    DOI: 10.1016/j.pacfin.2024.102365
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    1. Fatemi, Ali & Glaum, Martin & Kaiser, Stefanie, 2018. "ESG performance and firm value: The moderating role of disclosure," Global Finance Journal, Elsevier, vol. 38(C), pages 45-64.
    2. Gunther Capelle-Blancard & Aurélien Petit, 2019. "Every Little Helps? ESG News and Stock Market Reaction," Journal of Business Ethics, Springer, vol. 157(2), pages 543-565, June.
    3. Nollet, Joscha & Filis, George & Mitrokostas, Evangelos, 2016. "Corporate social responsibility and financial performance: A non-linear and disaggregated approach," Economic Modelling, Elsevier, vol. 52(PB), pages 400-407.
    4. N. C. Ashwin Kumar & Camille Smith & Leïla Badis & Nan Wang & Paz Ambrosy & Rodrigo Tavares, 2016. "ESG factors and risk-adjusted performance: a new quantitative model," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 6(4), pages 292-300, October.
    5. Gregory Connor & Matthias Hagmann & Oliver Linton, 2007. "Efficient Estimation of a Semiparametric Characteristic- Based Factor Model of Security Returns," Swiss Finance Institute Research Paper Series 07-26, Swiss Finance Institute.
    6. Dirk Boehe & Luciano Barin Cruz, 2010. "Corporate Social Responsibility, Product Differentiation Strategy and Export Performance," Journal of Business Ethics, Springer, vol. 91(2), pages 325-346, February.
    7. Cheng, Louis T.W. & Lee, Shu Kam & Li, Sung Ko & Tsang, Chun Kei, 2023. "Understanding resource deployment efficiency for ESG and financial performance: A DEA approach," Research in International Business and Finance, Elsevier, vol. 65(C).
    8. Lai, Xiaobing & Zhang, Fan, 2022. "Can ESG certification help company get out of over-indebtedness? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 76(C).
    9. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    10. Connor, Gregory & Linton, Oliver, 2007. "Semiparametric estimation of a characteristic-based factor model of common stock returns," Journal of Empirical Finance, Elsevier, vol. 14(5), pages 694-717, December.
    11. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    12. Broadstock, David C. & Chan, Kalok & Cheng, Louis T.W. & Wang, Xiaowei, 2021. "The role of ESG performance during times of financial crisis: Evidence from COVID-19 in China," Finance Research Letters, Elsevier, vol. 38(C).
    13. Pedersen, Lasse Heje & Fitzgibbons, Shaun & Pomorski, Lukasz, 2021. "Responsible investing: The ESG-efficient frontier," Journal of Financial Economics, Elsevier, vol. 142(2), pages 572-597.
    14. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    15. Wang, Kai & Li, Tingting & San, Ziyao & Gao, Hao, 2023. "How does corporate ESG performance affect stock liquidity? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    16. Ananth Madhavan & Aleksander Sobczyk & Andrew Ang, 2021. "Toward ESG Alpha: Analyzing ESG Exposures through a Factor Lens," Financial Analysts Journal, Taylor & Francis Journals, vol. 77(1), pages 69-88, January.
    17. Bertolotti, Andre, 2020. "Effectively managing risks in an ESG portfolio," Journal of Risk Management in Financial Institutions, Henry Stewart Publications, vol. 13(3), pages 202-211, June.
    18. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    19. Malcolm Baker & Mark L. Egan & Suproteem K. Sarkar, 2022. "Demand for ESG," NBER Working Papers 30708, National Bureau of Economic Research, Inc.
    20. Xiaoke Zhang & Xuankai Zhao & Yu He, 2022. "Does It Pay to Be Responsible? The Performance of ESG Investing in China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(11), pages 3048-3075, September.
    21. Gunnar Friede & Timo Busch & Alexander Bassen, 2015. "ESG and financial performance: aggregated evidence from more than 2000 empirical studies," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 5(4), pages 210-233, October.
    22. Garel, Alexandre & Petit-Romec, Arthur, 2021. "Investor rewards to environmental responsibility: Evidence from the COVID-19 crisis," Journal of Corporate Finance, Elsevier, vol. 68(C).
    23. Li Cai & Jinhua Cui & Hoje Jo, 2016. "Corporate Environmental Responsibility and Firm Risk," Journal of Business Ethics, Springer, vol. 139(3), pages 563-594, December.
    24. Chen, Shu & Han, Xiaoyan & Zhang, Zili & Zhao, Xuejun, 2023. "ESG investment in China: Doing well by doing good," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    25. Mozaffar Khan, 2019. "Corporate Governance, ESG, and Stock Returns around the World," Financial Analysts Journal, Taylor & Francis Journals, vol. 75(4), pages 103-123, October.
    26. López Prol, Javier & Kim, Kiwoong, 2022. "Risk-return performance of optimized ESG equity portfolios in the NYSE," Finance Research Letters, Elsevier, vol. 50(C).
    27. Ling, Aifan & Li, Jinlong & Zhang, Yugui, 2023. "Can firms with higher ESG ratings bear higher bank systemic tail risk spillover?—Evidence from Chinese A-share market," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    28. Varlam Kutateladze, 2021. "The Kernel Trick for Nonlinear Factor Modeling," Papers 2103.01266, arXiv.org.
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