Synopsis
This book offers a deep dive into the investment and business implications of climate change, uncovering both the emerging opportunities and pressing challenges. Through a powerful lens of big data analytics, it guides readers across four critical pillars of climate finance: climate data, indices, pricing, and reporting and engagement. The book equips readers with a comprehensive analytics toolkit by harnessing cutting-edge tools — large language models, generative AI, statistical inference in machine learning, optimization techniques, and advanced visualization methods. With a strong emphasis on practical application, it blends clear explanations, real-world case studies, and actionable insights to help investors, businesses, and financial professionals make informed decisions in a rapidly evolving field. Bridging the gap between theory and practice, this book stands as an indispensable resource for practitioners seeking to integrate data-driven strategies into climate finance and position themselves at the forefront of sustainable investing.
About the Authors
Jingli Ren is a Professor of Applied Mathematics at Zhengzhou University. She earned her PhD in Mathematics from the BeijingInstitute of Technology in 2004. Her research spans data science, applied mathematics, and applied statistics. She has led sixprojects funded by the National Natural Science Foundation of China, one Alexander von Humboldt Fellowship for ExperiencedResearchers, and five provincial-level research projects. Professor Ren has published extensively in peer-reviewed journals andis the author of Mathematical Methods in Data Science (Elsevier, 2023).
Fan Jia is an Assistant Professor at Zhengzhou University with a multidisciplinary background in finance, organizational studies,and entrepreneurship. He previously worked at Univest Company BV (a service provider to Unilever pension plans) and SynTaoGreen Finance as an ESG data analyst, leading projects that connected financial institutions with sustainability data andproducts. His current research focuses on sustainable finance. He is a contributing author of the China Sustainable InvestmentReview (2021 and 2022), published by China SIF (Sustainable Investment Forum), a member organization of the GlobalSustainable Investment Alliance (GSIA).
Yutong Sun is a PhD candidate at the University of Chinese Academy of Sciences, specializing in green finance. She haspublished research in journals such as Humanities and Social Sciences Communications, China Finance Review International,and Information Sciences. She also contributed to the 2022 China Economic Forecast and Outlook, highlighting her expertise atthe intersection of data analysis and environmental sustainability.
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