Quantitative Methods for ESG Finance - Rilegato

Shmatov, Cyril; Castelli, Cino Robin

Rilegato

ISBN 10: 1119903807 ISBN 13: 9781119903802

Casa editrice: John Wiley & Sons Inc, 2022

Riassunto

A quantitative analyst’s introduction to the theory and practice of ESG finance

In Quantitative Methods for ESG Finance, accomplished risk and ESG experts Dr. Cyril Shmatov and Cino Robin Castelli deliver an incisive and essential introduction to the quantitative basis of ESG finance from a quantitative analyst’s perspective. The book combines the theoretical and mathematical bases underlying risk factor investing and risk management with accessible discussions of ESG applications.

The authors explore the increasing availability of non-traditional data sources for quantitative analysts and describe the quantitative/statistical techniques they’ll need to make practical use of these data. The book also offers:

• A particular emphasis on climate change and climate risks, both due to its increasing general importance and accelerating regulatory change in the space
• Practical code examples in a Python Jupyter notebook that use publicly available data to demonstrate the techniques discussed in the book
• Expansive discussions of risk factor investing, portfolio construction, ESG scoring, new ESG-driven financial products, and new financial risk management applications, particularly those making use of the proliferation of “alternative data”, both text and images

A must-read guide for quantitative analysts, investment managers, financial risk managers, investment bankers, and other finance professionals with an interest in ESG-driven investing, Quantitative Methods for ESG Finance will also earn a place on the bookshelves of graduate students of business and finance.

Su questo libro

Informazioni sull'autore

CYRIL SHMATOV, PHD is Head of Enterprise Stress Testing (Managing Director) at Citigroup and Adjunct Associate Professor of Industrial Engineering and Operations Research at Columbia University. An area of particular interest for Cyril is ESG (Environmental, Social and Corporate Governance) Finance, including the management of financial risks associated with Climate Change and the quantitative analysis techniques that make such management possible. Cyril’s recent research focuses on leveraging alternative data for Climate Risk quantification and management, including its practical aspects from a financial institution’s perspective. Cyril holds a PhD in Applied Mathematics from Columbia University.

CINO ROBIN CASTELLI is Director at Citi, Business Unit Manager for Enterprise Risk Management, the area that covers, amongst other topics, Climate Risk. Prior to this position, Robin was the Chief Strategy Officer for Quantitative Risk and Stress Testing, the division of Risk tasked with developing all the quantitative models used for Market Risk, Counterparty Risk, Credit and Obligor Risk Analytics, Risk Capital Analytics, and Stress Testing. Robin is also co-founder and former Executive VP for Business Development at MacroUSA, in the field of Unmanned Ground Vehicles, and prior to that, co-founder, CEO and president of Macroswiss SA. Robin holds a Bachelor’s Degree and a Master’s Degree in Molecular Biology, summa cum laude, from Università degli Studi di Milano-Bicocca, with an evolutionary biology thesis on “Chromosomal rearrangements as speciation mechanisms.”

Dalla quarta di copertina

In Quantitative Methods for ESG Finance, distinguished risk and finance experts Dr. Cyril Shmatov and Cino Robin Castelli deliver a startlingly insightful combination of the theoretical and quantitative bases underlying risk factor investing and risk management with ESG applications. Written from the quantitative analyst’s perspective, this book discusses both investment management (buy-side) and investment banking (sell-side) applications. It also offers explanations of the proliferation of newly available, “alternative” data sources available to analysts and the quantitative techniques necessary to process them.

The authors pay particular attention to climate risk because of its increasing general importance. They offer an overview of recent quantitative advances and the evolving regulatory landscape in the climate risk space, as well as an in-depth discussion of the financial impact assessment of various climate risk-driven scenarios.

In every chapter, theoretical discussions are accompanied by functional code snippets and walkthroughs of a Python Jupyter notebook containing publicly available data and demonstrating practical examples that apply the techniques introduced in the book.

Investment managers will be particularly interested in the authors’ exposition of risk factor investing, portfolio and index construction, and ESG scoring, while bankers will likely focus on the discussion of a newly emerging class of ESG-driven financial products and new financial risk management applications, many of which are driven by new financial regulations.

An indispensable resource for finance professionals—including investment managers and investment bankers—and researchers, Quantitative Methods for ESG Finance will also earn a place in the libraries of graduate students of business and finance seeking a one-stop reference for the latest quantitative applications in ESG finance.

Dettagli dell'edizione

• Editore: John Wiley & Sons Inc
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 1119903807
• ISBN 13: 9781119903802
• Rilegatura: Copertina rigida
• Numero di pagine: 232
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile