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Climate Finance With Big Data Analytics eBook

by Jingli Ren, Fan Jia e Yutong Sun
language: english
Publisher: WORLD SCIENTIFIC PUBLISHING COMPANY, December of 2025 ‧
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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.

Contents:

  • About the Authors
  • Introduction:
    • Why and How Climate Change Matters to the Financial World
    • The Value of Big Data Science in Climate Finance
    • Outline of the Book
  • Fundamental Pillar of Advancing Climate Research in Finance: Climate Investment Data:
    • The Category of Climate Data For Investment
    • The Construction of Climate Rating System
    • Integration of Big Data Analytics in Propelling Climate Data Development
  • Essential Framework for Financing the Net-zero Journey: Climate Investment Index Built from Climate Data:
    • Climate Performance-Based Index Based on Quantitative Climate Data
    • Climate Perception-Based Index Based on Textual Climate Data
  • Holistic Picture of Pricing Climate Risk: Climate Investing with Valuation and Integration of Climate Data and Index:
    • Definition and Category of Climate Risk
    • Stock Market Response of Climate Events
    • Factor-Based Approach to Pricing Climate Risk
    • Global Perspectives: Carbon Markets Across Countries
  • Accountability and Alignment to Client Needs and Human Development: Climate Investment Reporting and Engagement:
    • Fundamental Pieces within Investment Mandate Supporting Climate Reporting and Engagement
    • Case Results of Climate Reporting and Engagement
    • Integration of Big Data Analytics in Advancing Climate Reporting and Engagement
  • Conclusion and Outlook
  • Appendices:
    • Prompt for Extracting and Summarizing Relevant Data (Qualitative or Quantitative Information)
    • Prompt for Judging Climate Events and Writing Abstract
    • Prompt for Automatic Expert-Involved Prompt Engineering
    • Guidelines for Question Answering (QA)
    • Questions for Extracting and Summarizing Information
    • Prompt for Climate Guidelines Conformity Assessment
    • Prompt for Climate Controversial Event Materiality Assessment
  • References
  • Index

Readership: Advanced climate change finance students; research personnel; and broader readership of professionals in the field, such as investors, policy makers, consultants, corporate managers, technical specialists, and the public at large.

Climate Finance With Big Data Analytics

by Jingli Ren, Fan Jia e Yutong Sun

Property Description
ISBN: 9789819817757
Publisher: WORLD SCIENTIFIC PUBLISHING COMPANY
Release Date: December of 2025
Language: English
Pages: 280
Format: eBook
File Format and Compatibility:
Categories: eBooks in English > Economics, Finance and Accounting > Economy
EAN: 9789819817757
Acessibilidade: Ver características de acessibilidade indicadas pelo editor