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商品詳細
Climate Finance with Big Data Analytics.
・ISBN 978-981-9817-73-3 2026 hard US$ 98.00
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お気に入り
★★★
電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 978-981-9817-74-0
| 著者・編者 | Ren, Jingli / Jia, Fan / Sun, Yutong, |
|---|---|
| 出版社 | (World Scientific, SI) |
| 出版年月 | 2026.01 |
| ページ数 | 280 pp. |
| 言語 | ENG |
| ニュース番号 | <762-181 762-900> |
解説
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.