Abstract
The role of ESG risk in both decisions of financial institutions and enterprises is systematically growing. The financial sector is particularly predisposed to the exposure of ESG risk, which is an increasingly important element taken into account in the credit risk management process. Therefore, sustainable financial decisions are those that take into account the ESG risk in the decision-making process. The paper discusses the quantitative methods used in the ESG risk analysis. The critical literature review, induction, and deduction methods were implemented to diagnose the significance of qualitative methods in ESG assessment process. Within the methods enabling the analysis on the financial market, the mathematical, statistical, and econometric methods are of particular use. The results of the study confirmed that usage of quantitative tools in the study of ESG factors is beneficial for the analysis of economic and financial conditions of entities.
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The Weber median was calculated in R program: l1median of pcaPP package.
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References
Changhong, Z., Yu, G., Jiahai, Y., Mengya, W., Daiyu, L., Yiou, Z., Jiangang, K.: ESG and corporate financial performance: empirical evidence from China’s listed power generation companies. Sustainability 10(8), 1–18 (2018)
Finansinspektionen: How Can the Financial Sector Contribute to Sustainable Development. https://www.fi.se/contentassets/123efb8f00f34f4cab1b0b1e17cb0bf4/finansiella_foretags_hallbarhetsarbete_eng.pdf (2016). Accessed 19 Nov 2018
Muñoz-Torres, M.J., Fernández-Izquierdo, M.A., Rivera-Lirio, J.M., Escrig-Olmedo, E.: Can environmental, social, and governance rating agencies favor business models that promote a more sustainable development? Corp. Soc. Responsib. Environ. Manag. (2018). https://doi.org/10.1002/csr.1695
Hachigian, H., McGill, S.M.: Reframing the governance challenge for sustainable investment. J. Sustain. Financ. Invest. 2(3–4), 166–178 (2012)
World Wildlife Fund: Living Planet Report. https://www.worldwildlife.org/pages/living-planet-report-2014 (2014). Accessed 19 Nov 2018
Bravo, R., Matute, J., Pina, J.M.: CSR as a vehicle to reveal the corporate identity: a study focused on the websites of Spanish financial entities. J. Bus. Ethics 107(2), 129–146 (2012)
Przychodzen, J., Gomez-Bezares, F., Przychodzen, W., Larreina, M.: ESG issues among fund managers: factors and motives. Sustainability 8, 1078 (2016)
Kumar, N.C.A., Smith, C., Badis, L., Wang, N., Ambrosy, P., Tavares, R.: ESG factors and risk-adjusted performance: a new quantitative model. J. Sustain. Financ. Invest. 6(4), 292–300 (2016). https://doi.org/10.1080/20430795.2016.1234909
HSBC: Sustainable Financing and ESG Investing Report. https://www.gbm.hsbc.com/insights/sustainable-financing/sustainable-financing-and-esg-investing-report (2018). Accessed 31 Dec 2018
FA Institute: Environmental, Social and Governance (ESG) Survey. http://www.cfainstitute.org/-/media/documents/survey/esg-survey-report-2017.ashx (2017). Accessed 31 Dec 2018
Morningstar: The Morningstar Sustainability Rating: Helping Investors Evaluate the Sustainability of Portfolios. https://www.morningstar.com/articles/745467/morningstar-sustainability-rating.html (2017). Accessed 31 Dec 2018
MSCI: MSCI ESG Ratings Methodology. https://www.msci.com/documents/10199/123a2b2b-1395-4aa2-a121-ea14de6d708a (2018). Accessed 31 Dec 2018
Risklab: ESG Risk Factors in a Portfolio Context. https://www.ipe.com/esg-risk-in-a-portfolio-context/34522.article (2010). Accessed 31 Dec 2018
Łuniewska, M.: Ekonometria finansowa. Analiza rynku kapitałowego. PWN, Warszawa (2008)
Wiśniewski, J.W.: Ekonometryczne badanie zjawisk jakościowych. Studium metodologiczne. Uniwersytet Mikołaja Kopernika, Toruń (1986)
Chow, G.C.: Ekonometria. PWN, Warszawa (1995)
Johnston, J.: Econometric Methods. McGraw-Hill Book Company (1991)
Zeliaś, A., Pawełek, B., Wanat, S.: Prognozowanie ekonomiczne. Teoria, przykłady, zadania. PWN, Warszawa (2003)
Gruszczyński, M. (ed.): Mikroekonometria. Modele i metody analizy danych indywidualnych, pp. 63, 75. Wolters Kluwer Polska Sp. z o.o., Warszawa (2010)
Gruszczyński, M.: Corporate governance and financial performance of companies in Poland. Int. Adv. Econ. Res. 12(2), 251–259 (2006)
Gruszczyński, M.: Uporządkowany model logitowy: zastosowana biznesowe i finansowe. In: Tarczyński, W. (ed.) Rynek kapitałowy. Skuteczne inwestowanie. Wydawnictwo Naukowe Uniwersytetu Szczecińskiego, Szczecin (2007)
Curry, T., Fissel, G., Hanweck, G.: Market information, bank holding company risk, and market discipline. FDIC Working Paper 2003-04 (2003). https://doi.org/10.2139/ssrn.886687
Berger, A.E.: Potential competitive effects of Basel II on banks in SME credit markets in the United States. J. Financ. Serv. Res. 26(1), 5–36 (2006)
Masciandaro, D., Porta, A.: Single authority in financial markets supervision: lessons for UE enlargement. Paper presented at conference Financial Intermediation in the New Europe: Economics, Policies and Institutions, Mediolan (2003)
Freytag, A., Masciandaro, D.: Financial supervision fragmentation and central bank independence: the two sides of the same coin? University of Lecce Economics Working Paper 76(37) (2005). https://doi.org/10.2139/ssrn.837124
Del-Rio, A., Young, G.: The impact of unsecured debt on financial distress among British households. Bank of England Working Paper 262 (2005). https://doi.org/10.2139/ssrn.824147
Gascogine, J., Turner, P.: Asymmetries in Bank of England monetary policy. Appl. Econ. Lett. 11(10), 615–618 (2004). https://doi.org/10.1080/1350485042000227296
Łuniewska, M., Tarczyński, W.: Metody wielowymiarowej analizy porównawczej na rynku kapitałowym, pp. 41–43, 57. PWN, Warszawa (2006)
Hellwig, Z.: Zastosowanie metody taksonomicznej do typologicznego podziału krajów ze względu na poziom ich rozwoju oraz zasoby i strukturę wykwalifikowanych kadr. Przegl. Stat. 4, 307–326 (1968)
Grabiński, T., Wydymus, S., Zeliaś, A.: Metody prognozowania rozwoju społeczno-gospodarczego. Wydawnictwo Akademii Ekonomicznej, Kraków (1982)
Pociecha, J., Podolec, B., Sokołowski, A., Zając, K.: Metody taksonomiczne w badaniach społeczno-ekonomicznych, p. 71. PWN, Warszawa (1998)
Nowak, E.: Metody Taksonomiczne w Klasyfikacji Obiektów Spo-łeczno-gospodarczych. PWE, Warszawa (1990)
Jajuga, K.: Statystyczna analiza wielowymiarowa. PWN, Warszawa (1993)
Malina, A.: Wielowymiarowa analiza przestrzennego zróżnicowania struktury gospodarki Polski według województw. Wydawnictwo AE w Krakowie, Kraków (2004)
Młodak, A.: Analiza taksonomiczna w statystyce regionalnej, pp. 136–137. Centrum Doradztwa i Informacji DIFIN, Warszawa (2006)
Panek, T.: Statystyczne metody wielowymiarowej analizy porównawczej, pp. 57–58. SGH w Warszawie, Warszawa (2009)
Walesiak, M.: Uogólniona miara odległości GDM w statystycznej analizie wielowymiarowej z wykorzystaniem programu R. Wydanie drugie poprawione i rozszerzone. Wydawnictwo Uniwersytetu Ekonomicznego, Wrocław (2016)
Vicke, P.: Multicriteria Decision-Aid. Wiley, Chichester (1992)
Broniewicz, B., Dziurdzikowska, E.: Metody wielokryterialne w równoważeniu procesów społeczno-gospodarczych. Pr. Nauk. Uniw. Ekon. Wrocław. 491, 53–62 (2017). https://doi.org/10.15611/pn.2017.491.05
Mendoza, G.A., Martins, H.: Multi-criteria decision analysis in natural resource management: a critical review of methods and new modelling paradigms. For. Ecol. Manage. 230(1–3), 1–22 (2006). https://doi.org/10.1016/j.foreco.2006.03.023
Huang, I.B., Keisler, J., Linkov, I.: Multi-criteria decision analysis in environmental sciences: ten years of applications and trends. Sci. Total Environ. 409(19), 3578–3594 (2011). https://doi.org/10.1016/j.scitotenv.2011.06.022
Buchholz, T., Rametsteiner, E., Volk, T.A., Luzadis, V.A.: Multi criteria analysis for bioenergy systems assessments. Energy Policy 37(2), 484–495 (2009). https://doi.org/10.1016/j.enpol.2008.09.054
Figueira, J., Greco, S., Ehrgott, M. (eds.): Multiple Criteria Decision Analysis: State of the Art Surveys. Springer, London (2005)
Nermend, K.: Metody analizy wielokryterialnej i wielowymiarowej we wspomaganiu decyzji. PWN, Warszawa (2017)
Figueira, J., Mousseau, V., Roy, B.: ELECTRE methods. In: Figueira, J., Greco, S., Ehrgott, M. (eds.) Multiple Criteria Decision Analysis: State of the Art Surveys. Springer, New York (2005)
Triantaphyllou, E.: Multi-criteria Decision Making Methods: A Comparative Study. Kluwer Academic Publishers (2000)
Frondel, M., Horbach, J., Rennings, K.: End-of-pipe or cleaner production? An empirical comparison of environmental innovation decisions across OECD countries. Bus. Strategy Environ. 16, 571–584 (2007). https://doi.org/10.1002/bse.496
Moussiopoulos, N., Achillas, C., Vlachokostas, C., Spyridi, D., Nikolaou, K.: Environmental, social and economic information management for the evaluation of sustainability in urban areas: a system of indicators for Thessaloniki, Greece. Cities 27(5), 377–384 (2010). https://doi.org/10.1016/j.cities.2010.06.001
Inglehart, R.: Public support for environmental protection: objective problems and subjective values in 43 societies. Polit. Sci. Polit. 28(1), 57–72 (1995). https://doi.org/10.2307/420583
Bassen, A., Meyer, K., Schlange, J.: The Influence of Corporate Responsibility on the Cost of Capital. http://ssrn.com/abstract=984406/ (2006). Accessed 30 Dec 2018
Husted, B.W., Allen, D.B.: Strategic Corporate Social Responsibility and Value Creation: A Study of Multinational Enterprises in Mexico. https://core.ac.uk/download/pdf/9426392.pdf (1996). Accessed 31 Dec 2018
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Research results presented in this paper are an element of research project implemented by the National Science Center Poland under the grant OPUS13 no UMO-2017/25/B/HS4/02172.
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Ziolo, M., Bak, I., Sinha, R., Datta, M. (2020). ESG Risk Perception in Sustainable Financial Decisions. Quantitative Methods Perspective. In: Nermend, K., Łatuszyńska, M. (eds) Experimental and Quantitative Methods in Contemporary Economics. CMEE 2018. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-30251-1_12
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