Quantitative Methods For Esg Finance
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Quantitative Methods for ESG Finance
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.
ESG Investment in the Global Economy
This book introduces environmental, social and governance (ESG) investment and clarifies its characteristics as financial securities. It is forecasted that companies’ ESG information will be reflected in their corporate value as much as their financial information is in the future. The special feature of this book is to reveal the characteristics and impact of ESG investment using various quantitative analyses (e.g. EGARCH, asymmetric DCC, copula, VaR, connectedness, dynamic spillover). This book focuses on the relationship between some ESG indexes and the other economic variables, particularly in light of the recent economic environment (e.g. Global Financial Crisis, COIVID-19 pandemic, crude oil price crash). Readers can grasp a larger picture of ESG investment through a survey of its history and current status, predictions of its future, and interpretation of various empirical analysis results.
Experimental and Quantitative Methods in Contemporary Economics
Contemporary economists, when analyzing economic behavior of people, need to use the diversity of research methods and modern ways of discovering knowledge. The increasing popularity of using economic experiments requires the use of IT tools and quantitative methods that facilitate the analysis of the research material obtained as a result of the experiments and the formulation of correct conclusions. This proceedings volume presents problems in contemporary economics and provides innovative solutions using a range of quantitative and experimental tools. Featuring selected contributions presented at the 2018 Computational Methods in Experimental Economics Conference (CMEE 2018), this book provides a modern economic perspective on such important issues as: sustainable development, consumption, production, national wealth, the silver economy, behavioral finance, economic and non-economic factors determining the behavior of household members, consumer preferences, social campaigns, and neuromarketing. International case studies are also offered.