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.

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.

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.

Quantitative equity management techniques are helping investors achieve more risk efficient and appropriate investment outcomes. Factor investing, vetted by decades of prior and current research, is growing quickly, particularly in in the form of smart-beta and ETF strategies. Dynamic factor-timing approaches, incorporating macroeconomic and investment conditions, are in the early stages but will likely thrive. A new generation of big data approaches are rendering quantitative equity analysis even more powerful and encompassing.

Quantitative Methods for Finance and Investments ensures that readers come away from reading it with a reasonable degree of comfort and proficiency in applying elementary mathematics to several types of financial analysis. All of the methodology in this book is geared toward the development, implementation, and analysis of financial models to solve financial problems.

This survey examines the vibrant academic literature on environmental, social, and governance (ESG) investing. While there is no consensus on the exact list of ESG issues, responsible investors increasingly assess stocks in their portfolios based on nonfinancial data on environmental impact (e.g., carbon emissions), social impact (e.g., employee satisfaction), and governance attributes (e.g., board structure). The objective is to reduce exposure to investments that pose greater ESG risks or to influence companies to become more sustainable. One active area of research at present involves assessing portfolio risk exposure to climate change. This literature review focuses on institutional investors, which have grown in importance such that they have now become the largest holders of shares in public companies globally. Historically, institutional investors tended to concentrate their ESG efforts mostly on corporate governance (the “G” in ESG). These efforts included seeking to eliminate provisions that restrict shareholder rights and enhance managerial power, such as staggered boards, supermajority rules, golden parachutes, and poison pills. Highlights from this section: · There is no consensus on the exact list of ESG issues and their materiality. · The ESG issue that gets the most attention from institutional investors is climate change, in particular their portfolio companies’ exposure to carbon risk and “stranded assets.” · Investors should be positioning themselves for increased regulation, with the regulatory agenda being more ambitious in the European Union than in the United States. Readers might come away from this survey skeptical about the potential for ESG investing to affect positive change. I prefer to characterize the current state of the literature as having a “healthy dose of skepticism,” with much more remaining to be explored. Here, I hope the reader comes away with a call to action. For the industry practitioner, I believe that the investment industry should strive to achieve positive societal goals. CFA Institute provides an exemplary case in its Future of Finance series (www.cfainstitute.org/research/future-finance). For the academic community, I suggest we ramp up research aimed at tackling some of the open questions around the pressing societal goals of ESG investing. I am optimistic that practitioners and academics will identify meaningful ways to better harness the power of global financial markets for addressing the pressing ESG issues facing our society.

The purpose of the Special Issue “Quantitative Methods in Economics and Finance” of the journal Risks was to provide a collection of papers that reflect the latest research and problems of pricing complex derivates, simulation pricing, analysis of financial markets, and volatility of exchange rates in the international context. This book can be used as a reference for academicians and researchers who would like to discuss and introduce new developments in the field of quantitative methods in economics and finance and explore applications of quantitative methods in other business areas.

Quantitative Analysis of Social and Financial Market Development is a crucial resource of current, cutting-edge research exploring the latest social and financial developments across Asia.