Abstract
Since the UN Principles for Responsible Investment (PRI) was launched in 2006, interest and investment related to ESG have been continued to increase. In particular, global asset managers such as BlackRock build an asset portfolio in consideration of ESG ratings, and ESG has now become important non-financial information when investors should consider when making in-vestment decisions. The top group of the MSCI ESG Index shows higher returns and lower stock price volatility, proving that ESG ratings are important investment information. However, ESG ratings are announced once a year, so they have become important information for investors who make mid- to long-term investments, but it can be seen that non-institutional investors receive ESG news every day rather than ESG ratings. The purpose of this paper is to reveal the correlation between daily ESG-related news and each E/S/G grade, focusing on the keywords of the main disclosure metrics according to the ESG disclosure guidance by KRX.
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References
Korea Exchange (KRX), ESG Information Guidance (2020)
Hankook Economic Daily, “Manage ESG”… The activist fund that attacks ExxonMobil, URL: https://www.hankyung.com/international/article/2020120865561 (8 Dec 2020)
Reuter news, URL: https://www.reuters.com/article/us-danone-management-idUSKBN2B60PN (15 March 2021)
Ruy, J.S.: Global ESG Investment and Policy Trend. Financial Investment Association (2020)
Blackrock, Blackrock CEO Client letter, URL: https://www.blackrock.com/kr/2021-blackrock-client-letter (2021)
Financial Supervisory Service, Analyzes the financial disclosure status of GHG emission rights of listed corporations and prepares best practices for note disclosure (9 April 2021)
Maeil Economic Daily, National Pension Service “ESG investment to expand to half of total assets next year”, URL: https://www.mk.co.kr/news/economy/9878703 (19 May 2021)
MSCI, Foundations of ESG Investing in Corporate Bonds (2020)
MSCI, “Understanding MSCI ESG indexes,” URL: https://www.msci.com/www/research-paper/understanding-msci-esg-indexes/01525548808
KICPA, ESG Academy textbook, URL: https://kicpaacademy.com/product-category/academy-course/esg-expert/ (2021)
Lee, J.K., Lee, J.H.: Current status and future directions of research on ‘sustainable management’: focusing on the ESG measurement index. J. Strat. Manag. 23(2), 65–92 (2020)
KCGS, Announcement of ESG evaluation and rating of listed companies in 2020 (2021)
IFRS Foundation, URL: https://www.ifrs.org/news-and-events/news/2022/03/issb-delivers-proposals-that-create-comprehensive-global-baseline-of-sustainability-disclosures/ (2022)
Oh, S.H., Lee, S.T.: A study on the relationship between ESG evaluation factors and corporate value. Comput. Account. Res. 17(2), 205–223 (2019)
Lim, U.B.: The effect of non-financial information on corporate performance: Focusing on ESG score. Int. Account. Stud. 86, 119–144 (2019)
Kim, Y.K.: Effect of corporate non-financial information (ESG) disclosure on financial performance and corporate value. Regul. Stud. 29(1), 35–59 (2020)
Choi, M.H.: Corporate innovation, sustainable management and corporate value. Tax Account. Res. 67, 55–73 (2021)
Kim, D.Y.: A study on the relationship between ESG evaluation information of a sound company and KIS credit score. J. Global Bus. Adm. 17(3), 131–155 (2020)
Kang, W., et al.: A study on the relationship between non-financial indicators and the market performance of firms: market response analysis of events used to develop ESG indicators. Yonsei Manage. Res. 57(2), 1–22 (2020)
Lim, H.J.: Analysis of SME ESG issues using text mining. Hum. Soc. Sci. 21 12(4) (2021)
Thakkar, R., et al.: Environmental fire hazard detection and prediction using random forest algorithm. In: 2022 International Conference for Advancement in Technology (ICONAT) Goa, India, Jan 21–22 (2022)
Swarupa, A.N.V.K., et al.: Disease prediction: smart disease prediction system using random forest algorithm. In: 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies (ICISSGT) (2021)
Alzamzami, F., et al.: Light gradient boosting machine for general sentiment classification on short texts: a comparative evaluation. IEEE/Access (2020)
Abdurrahman, M.H., et al.: A review of light gradient boosting machine method for hate speech classification on twitter. IEEE Xplore (2020)
Bigkinds, Big Kinds User Manual (2022)
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So, J., Lee, M., Park, J., Gim, G. (2023). A Study on the Relationship Between ESG News Keywords and ESG Ratings. In: Lee, R. (eds) Big Data, Cloud Computing, and Data Science Engineering. BCD 2022. Studies in Computational Intelligence, vol 1075. Springer, Cham. https://doi.org/10.1007/978-3-031-19608-9_2
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