{"title":"金融领域可持续性风险的量化模型","authors":"Takashi Kanamura","doi":"10.1016/j.jcomm.2025.100457","DOIUrl":null,"url":null,"abstract":"<div><div>We aim to formulate sustainability risk (Srisk) quantitatively in finance for the first time and validate the formulation by conducting empirical analyses. Applying the general sustainability concept to finance supported by existing studies proposes a new financial and quantitative model of Srisk defined by the price differences between sustainable and conventional assets and characterized by mean-reversion, cyclicity, and diversification effects on market risk. Then, the parameter estimation results of the model using ESG and the corresponding stock indexes confirm these three characteristics and indicate the convergence of expected returns of ESG indexes over stock indexes, resulting in the feasibility of securing returns in the pairs trading. Finally, we discuss the model’s robustness regarding Srisk’s three characteristics and the regime-switching of Srisk’s mean-reversion due to fundamental shifts by conducting econometric analyses of sustainable asset prices.</div></div>","PeriodicalId":45111,"journal":{"name":"Journal of Commodity Markets","volume":"37 ","pages":"Article 100457"},"PeriodicalIF":3.7000,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A quantitative model of sustainability risk in finance\",\"authors\":\"Takashi Kanamura\",\"doi\":\"10.1016/j.jcomm.2025.100457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We aim to formulate sustainability risk (Srisk) quantitatively in finance for the first time and validate the formulation by conducting empirical analyses. Applying the general sustainability concept to finance supported by existing studies proposes a new financial and quantitative model of Srisk defined by the price differences between sustainable and conventional assets and characterized by mean-reversion, cyclicity, and diversification effects on market risk. Then, the parameter estimation results of the model using ESG and the corresponding stock indexes confirm these three characteristics and indicate the convergence of expected returns of ESG indexes over stock indexes, resulting in the feasibility of securing returns in the pairs trading. Finally, we discuss the model’s robustness regarding Srisk’s three characteristics and the regime-switching of Srisk’s mean-reversion due to fundamental shifts by conducting econometric analyses of sustainable asset prices.</div></div>\",\"PeriodicalId\":45111,\"journal\":{\"name\":\"Journal of Commodity Markets\",\"volume\":\"37 \",\"pages\":\"Article 100457\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Commodity Markets\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2405851325000017\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Commodity Markets","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405851325000017","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
A quantitative model of sustainability risk in finance
We aim to formulate sustainability risk (Srisk) quantitatively in finance for the first time and validate the formulation by conducting empirical analyses. Applying the general sustainability concept to finance supported by existing studies proposes a new financial and quantitative model of Srisk defined by the price differences between sustainable and conventional assets and characterized by mean-reversion, cyclicity, and diversification effects on market risk. Then, the parameter estimation results of the model using ESG and the corresponding stock indexes confirm these three characteristics and indicate the convergence of expected returns of ESG indexes over stock indexes, resulting in the feasibility of securing returns in the pairs trading. Finally, we discuss the model’s robustness regarding Srisk’s three characteristics and the regime-switching of Srisk’s mean-reversion due to fundamental shifts by conducting econometric analyses of sustainable asset prices.
期刊介绍:
The purpose of the journal is also to stimulate international dialog among academics, industry participants, traders, investors, and policymakers with mutual interests in commodity markets. The mandate for the journal is to present ongoing work within commodity economics and finance. Topics can be related to financialization of commodity markets; pricing, hedging, and risk analysis of commodity derivatives; risk premia in commodity markets; real option analysis for commodity project investment and production; portfolio allocation including commodities; forecasting in commodity markets; corporate finance for commodity-exposed corporations; econometric/statistical analysis of commodity markets; organization of commodity markets; regulation of commodity markets; local and global commodity trading; and commodity supply chains. Commodity markets in this context are energy markets (including renewables), metal markets, mineral markets, agricultural markets, livestock and fish markets, markets for weather derivatives, emission markets, shipping markets, water, and related markets. This interdisciplinary and trans-disciplinary journal will cover all commodity markets and is thus relevant for a broad audience. Commodity markets are not only of academic interest but also highly relevant for many practitioners, including asset managers, industrial managers, investment bankers, risk managers, and also policymakers in governments, central banks, and supranational institutions.