IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v73y2025ipas0275531924004094.html
   My bibliography  Save this article

The effect of ESG divergence on the financial performance of Hong Kong-listed firms: An artificial neural network approach

Author

Listed:
  • Cheng, Louis T.W.
  • Cheong, Tsun Se
  • Wojewodzki, Michal
  • Chui, David

Abstract

This paper applies an advanced machine learning algorithm, the Artificial Neural Network (ANN), to examine both linear and nonlinear effects between firm-level characteristics and ESG performance of all firms listed on the Hong Kong Stock Exchange (HKEX) with ESG scores during 2019–2021. To mitigate the problem of data-specific findings due to rating bias from a single rating agency, we employ novel iScore (divergence-adjusted ESG measure). The documented findings indicate the unsuitability of traditional linear regression models to capture the nonlinear effects and to detect some linear relationships. Furthermore, the results show the superiority of the self-organising map (SOM) ANN framework in explaining the impact of firm-level factors on ESG performance.

Suggested Citation

  • Cheng, Louis T.W. & Cheong, Tsun Se & Wojewodzki, Michal & Chui, David, 2025. "The effect of ESG divergence on the financial performance of Hong Kong-listed firms: An artificial neural network approach," Research in International Business and Finance, Elsevier, vol. 73(PA).
    • Handle: RePEc:eee:riibaf:v:73:y:2025:i:pa:s0275531924004094
    DOI: 10.1016/j.ribaf.2024.102616
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531924004094
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ribaf.2024.102616?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Ye & Liu, Xufeng & Wan, Die, 2023. "Stock market openness and ESG performance: Evidence from Shanghai-Hong Kong connect program," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1306-1319.
    2. Cheng, Louis T.W. & Shen, Jianfu & Wojewodzki, Michal, 2023. "A cross-country analysis of corporate carbon performance: An international investment perspective," Research in International Business and Finance, Elsevier, vol. 64(C).
    3. Jon Kleinberg & Jens Ludwig & Sendhil Mullainathan & Ziad Obermeyer, 2015. "Prediction Policy Problems," American Economic Review, American Economic Association, vol. 105(5), pages 491-495, May.
    4. Robert F Engle & Stefano Giglio & Bryan Kelly & Heebum Lee & Johannes Stroebel, 2020. "Hedging Climate Change News," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1184-1216.
    5. Yunfu Zhu & Haoling Yang & Ma Zhong, 2023. "Do ESG Ratings of Chinese Firms Converge or Diverge? A Comparative Analysis Based on Multiple Domestic and International Ratings," Sustainability, MDPI, vol. 15(16), pages 1-17, August.
    6. Valeria D’Amato & Rita D’Ecclesia & Susanna Levantesi, 2021. "Fundamental ratios as predictors of ESG scores: a machine learning approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 1087-1110, December.
    7. Matthew W. Sherwood & Julia L. Pollard, 2018. "The risk-adjusted return potential of integrating ESG strategies into emerging market equities," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 8(1), pages 26-44, January.
    8. Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020. "Empirical Asset Pricing via Machine Learning," Review of Finance, European Finance Association, vol. 33(5), pages 2223-2273.
    9. Aaron Chalfin & Oren Danieli & Andrew Hillis & Zubin Jelveh & Michael Luca & Jens Ludwig & Sendhil Mullainathan, 2016. "Productivity and Selection of Human Capital with Machine Learning," American Economic Review, American Economic Association, vol. 106(5), pages 124-127, May.
    10. 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.
    11. Liu, Xiangqiang & Yang, Qingqing & Wei, Kai & Dai, Peng-Fei, 2024. "ESG rating disagreement and idiosyncratic return volatility: Evidence from China," Research in International Business and Finance, Elsevier, vol. 70(PB).
    12. Monica Billio & Michele Costola & Iva Hristova & Carmelo Latino & Loriana Pelizzon, 2021. "Inside the ESG ratings: (Dis)agreement and performance," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(5), pages 1426-1445, September.
    13. Samuel M. Hartzmark & Abigail B. Sussman, 2019. "Do Investors Value Sustainability? A Natural Experiment Examining Ranking and Fund Flows," Journal of Finance, American Finance Association, vol. 74(6), pages 2789-2837, December.
    14. Zhang, Fan & Lai, Xiaobing & Guo, Chong, 2024. "ESG disclosure and investment-financing maturity mismatch: Evidence from China," Research in International Business and Finance, Elsevier, vol. 70(PA).
    15. Rajna Gibson Brandon & Philipp Krueger & Peter Steffen Schmidt, 2021. "ESG Rating Disagreement and Stock Returns," Financial Analysts Journal, Taylor & Francis Journals, vol. 77(4), pages 104-127, October.
    16. Lohrmann, Christoph & Luukka, Pasi, 2019. "Classification of intraday S&P500 returns with a Random Forest," International Journal of Forecasting, Elsevier, vol. 35(1), pages 390-407.
    17. Samuel Drempetic & Christian Klein & Bernhard Zwergel, 2020. "The Influence of Firm Size on the ESG Score: Corporate Sustainability Ratings Under Review," Journal of Business Ethics, Springer, vol. 167(2), pages 333-360, November.
    18. Guo, Kun & Bian, Yuan & Zhang, Dayong & Ji, Qiang, 2024. "ESG performance and corporate external financing in China: The role of rating disagreement," Research in International Business and Finance, Elsevier, vol. 69(C).
    19. Mohamad Hassan Shahrour & Mostafa Dekmak, 2023. "Intelligent stock prediction: A neural network approach," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 1-14, March.
    20. Keywan Christian Rasekhschaffe & Robert C. Jones, 2019. "Machine Learning for Stock Selection," Financial Analysts Journal, Taylor & Francis Journals, vol. 75(3), pages 70-88, July.
    21. Timothy D. Hubbard & Dane M. Christensen & Scott D. Graffin, 2017. "Higher Highs and Lower Lows: The Role of Corporate Social Responsibility in CEO Dismissal," Strategic Management Journal, Wiley Blackwell, vol. 38(11), pages 2255-2265, November.
    22. Wen, Huwei & Liu, Yupeng & Lee, Chien-Chiang, 2024. "How ESG performance affects maturity mismatches between investment and financing: Evidence from Chinese A-share listed companies," Research in International Business and Finance, Elsevier, vol. 71(C).
    23. Edmans, Alex, 2011. "Does the stock market fully value intangibles? Employee satisfaction and equity prices," Journal of Financial Economics, Elsevier, vol. 101(3), pages 621-640, September.
    24. Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020. "Empirical Asset Pricing via Machine Learning," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2223-2273.
    25. Pradit Withisuphakorn & Pornsit Jiraporn, 2016. "The effect of firm maturity on corporate social responsibility (CSR): do older firms invest more in CSR?," Applied Economics Letters, Taylor & Francis Journals, vol. 23(4), pages 298-301, March.
    26. Patrick Bajari & Denis Nekipelov & Stephen P. Ryan & Miaoyu Yang, 2015. "Machine Learning Methods for Demand Estimation," American Economic Review, American Economic Association, vol. 105(5), pages 481-485, May.
    27. Kisgen, Darren J., 2019. "The impact of credit ratings on corporate behavior: Evidence from Moody's adjustments," Journal of Corporate Finance, Elsevier, vol. 58(C), pages 567-582.
    28. Avramov, Doron & Cheng, Si & Lioui, Abraham & Tarelli, Andrea, 2022. "Sustainable investing with ESG rating uncertainty," Journal of Financial Economics, Elsevier, vol. 145(2), pages 642-664.
    29. Jireh Yi-Le Chan & Steven Mun Hong Leow & Khean Thye Bea & Wai Khuen Cheng & Seuk Wai Phoong & Zeng-Wei Hong & Yen-Lin Chen, 2022. "Mitigating the Multicollinearity Problem and Its Machine Learning Approach: A Review," Mathematics, MDPI, vol. 10(8), pages 1-17, April.
    30. Eunyoung Cho, 2023. "Time-varying preferences for ESG investments: evidence from an emerging market," Journal of Derivatives and Quantitative Studies: 선물연구, Emerald Group Publishing Limited, vol. 31(2), pages 121-138, March.
    31. Sun, Zhennan & Du, Qunyang & Du, Anna Min & Li, Zhongyuan & Yang, Tianle, 2024. "The information environment and ecological environment perspectives: Capital market openness and firm ESG rating divergence," Research in International Business and Finance, Elsevier, vol. 71(C).
    32. 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).
    33. Hua Fan, John & Michalski, Lachlan, 2020. "Sustainable factor investing: Where doing well meets doing good," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 230-256.
    34. Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
    35. Christopher C Geczy & Robert F Stambaugh & David Levin, 2021. "Investing in Socially Responsible Mutual Funds [Should investors avoid all actively managed mutual funds? A study in Bayesian performance evaluation]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 11(2), pages 309-351.
    36. Lin, Woon Leong & Law, Siong Hook & Ho, Jo Ann & Sambasivan, Murali, 2019. "The causality direction of the corporate social responsibility – Corporate financial performance Nexus: Application of Panel Vector Autoregression approach," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 401-418.
    37. Tsun Se Cheong & Guanghua Wan & David Kam Hung Chui, 2022. "Unveiling the Relationship between Economic Growth and Equality for Developing Countries," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(5), pages 1-28, September.
    38. Erhart, Szilárd, 2022. "Take it with a pinch of salt—ESG rating of stocks and stock indices," International Review of Financial Analysis, Elsevier, vol. 83(C).
    39. Dumrose, Maurice & Rink, Sebastian & Eckert, Julia, 2022. "Disaggregating confusion? The EU Taxonomy and its relation to ESG rating," Finance Research Letters, Elsevier, vol. 48(C).
    40. 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).
    41. Emmanuel Adegbite & Yilmaz Guney & Frank Kwabi & Suleiman Tahir, 2019. "Financial and corporate social performance in the UK listed firms: the relevance of non-linearity and lag effects," Review of Quantitative Finance and Accounting, Springer, vol. 52(1), pages 105-158, January.
    42. Florian Berg & Julian F Kölbel & Roberto Rigobon, 2022. "Aggregate Confusion: The Divergence of ESG Ratings [Corporate social responsibility and firm risk: theory and empirical evidence]," Review of Finance, European Finance Association, vol. 26(6), pages 1315-1344.
    43. Wojewodzki, Michal & Boateng, Agyenim & Brahma, Sanjukta, 2020. "Credit rating, banks' capital structure and speed of adjustment: A cross-country analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 69(C).
    44. Karl V. Lins & Henri Servaes & Ane Tamayo, 2017. "Social Capital, Trust, and Firm Performance: The Value of Corporate Social Responsibility during the Financial Crisis," Journal of Finance, American Finance Association, vol. 72(4), pages 1785-1824, August.
    45. Liu, Yang & Jin, Xiao Meng & Ly, Kim Cuong & Mai, Yong, 2024. "The relationship between heterogeneous institutional investors’ shareholdings and corporate ESG performance: Evidence from China," Research in International Business and Finance, Elsevier, vol. 71(C).
    46. 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.
    47. Gillan, Stuart L. & Koch, Andrew & Starks, Laura T., 2021. "Firms and social responsibility: A review of ESG and CSR research in corporate finance," Journal of Corporate Finance, Elsevier, vol. 66(C).
    48. Michal Wojewodzki & Winnie P.H. Poon & Jianfu Shen, 2018. "The role of credit ratings on capital structure and its speed of adjustment: an international study," The European Journal of Finance, Taylor & Francis Journals, vol. 24(9), pages 735-760, June.
    49. Ryumi Kim & Bonha Koo, 2023. "The impact of ESG rating disagreement on corporate value," Journal of Derivatives and Quantitative Studies: 선물연구, Emerald Group Publishing Limited, vol. 31(3), pages 219-241, May.
    50. Wang, Haijun & Jiao, Shuaipeng & Ge, Chen & Sun, Guanglin, 2024. "Corporate ESG rating divergence and excess stock returns," Energy Economics, Elsevier, vol. 129(C).
    51. Hong, Harrison & Kacperczyk, Marcin, 2009. "The price of sin: The effects of social norms on markets," Journal of Financial Economics, Elsevier, vol. 93(1), pages 15-36, July.
    52. Ravi Bansal & Di (Andrew) Wu & Amir Yaron, 2022. "Socially Responsible Investing in Good and Bad Times," The Review of Financial Studies, Society for Financial Studies, vol. 35(4), pages 2067-2099.
    53. Lin, Yongjia & Lu, Zhenye & Wang, Yizhi, 2023. "The impact of environmental, social, and governance (ESG) practices on investment efficiency in China: Does digital transformation matter?," Research in International Business and Finance, Elsevier, vol. 66(C).
    54. Han, Wei & Wu, Di, 2024. "ESG ratings, business credit acquisition, and corporate value," International Review of Financial Analysis, Elsevier, vol. 95(PA).
    55. Aaron K. Chatterji & Rodolphe Durand & David I. Levine & Samuel Touboul, 2016. "Do ratings of firms converge? Implications for managers, investors and strategy researchers," Strategic Management Journal, Wiley Blackwell, vol. 37(8), pages 1597-1614, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Muck, Matthias & Schmidl, Thomas, 2024. "Comparing ESG score weighting approaches and stock performance differentiation," Finance Research Letters, Elsevier, vol. 67(PB).
    2. Horn, Matthias & Oehler, Andreas, 2024. "Constructing stock portfolios by sorting on ESG ratings: Does the rating provider matter?," International Review of Financial Analysis, Elsevier, vol. 96(PA).
    3. Roman Kräussl & Tobi Oladiran & Denitsa Stefanova, 2024. "A review on ESG investing: Investors’ expectations, beliefs and perceptions," Journal of Economic Surveys, Wiley Blackwell, vol. 38(2), pages 476-502, April.
    4. Lestari, Jenjang Sri & Frömmel, Michael, 2024. "Socially responsible investments: doing good while doing well in developed versus emerging markets?," Research in International Business and Finance, Elsevier, vol. 69(C).
    5. Lioui, Abraham & Tarelli, Andrea, 2022. "Chasing the ESG factor," Journal of Banking & Finance, Elsevier, vol. 139(C).
    6. Ferriani, Fabrizio, 2023. "Issuing bonds during the Covid-19 pandemic: Was there an ESG premium?," International Review of Financial Analysis, Elsevier, vol. 88(C).
    7. Valeria D’Amato & Rita D’Ecclesia & Susanna Levantesi, 2022. "ESG score prediction through random forest algorithm," Computational Management Science, Springer, vol. 19(2), pages 347-373, June.
    8. Tsang, Albert & Wang, Yujie & Xiang, Yi & Yu, Li, 2024. "The rise of ESG rating agencies and management of corporate ESG violations," Journal of Banking & Finance, Elsevier, vol. 169(C).
    9. Luo, Di & Farag, Hisham, 2024. "ESG and aggregate disagreement," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 92(C).
    10. Staněk Gyönyör, Lucie & Horváth, Matúš, 2024. "Does ESG affect stock market dependence? An empirical exploration of S&P 1200 companies shows the divergent nature of E–S–G pillars," Research in International Business and Finance, Elsevier, vol. 69(C).
    11. Wu, Yanran & Zhou, Riwang & Zhang, Chao, 2024. "Size and ESG premiums: Evidence from Chinese A-share market," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
    12. Wang, Ren & Bian, Yuxiang & Xiong, Xiong, 2024. "Impact of ESG preferences on investments and emissions in a DSGE framework," Economic Modelling, Elsevier, vol. 135(C).
    13. Tristan Jourde & Arthur Stalla-Bourdillon, 2024. "PEnvironmental Preferences and Sector Valuations," Working papers 964, Banque de France.
    14. Michalski, Lachlan & Low, Rand Kwong Yew, 2024. "Determinants of corporate credit ratings: Does ESG matter?," International Review of Financial Analysis, Elsevier, vol. 94(C).
    15. Valeria D’Amato & Rita D’Ecclesia & Susanna Levantesi, 2021. "Fundamental ratios as predictors of ESG scores: a machine learning approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 1087-1110, December.
    16. Zou, Jin & Yan, Jingzhou & Deng, Guoying, 2023. "ESG rating confusion and bond spreads," Economic Modelling, Elsevier, vol. 129(C).
    17. Wang, Haijun & Jiao, Shuaipeng & Ge, Chen & Sun, Guanglin, 2024. "Corporate ESG rating divergence and excess stock returns," Energy Economics, Elsevier, vol. 129(C).
    18. Caterina Lucarelli & Sabrina Severini, 2024. "Anatomy of the chimera: Environmental, Social, and Governance ratings beyond the myth," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 4198-4217, July.
    19. Jian Zhou & Xiaodong Lei & Jianglong Yu, 2024. "ESG rating divergence and corporate green innovation," Business Strategy and the Environment, Wiley Blackwell, vol. 33(4), pages 2911-2930, May.
    20. Liu, Xiangqiang & Yang, Qingqing & Wei, Kai & Dai, Peng-Fei, 2024. "ESG rating disagreement and idiosyncratic return volatility: Evidence from China," Research in International Business and Finance, Elsevier, vol. 70(PB).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:riibaf:v:73:y:2025:i:pa:s0275531924004094. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ribaf .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.