Adventures In Financial Data Science: The Empirical Properties Of Financial And Economic Data - World Scientific Series in Finance - Giller, Graham L (Giller Inverstments, Usa) - Books - World Scientific Publishing Co Pte Ltd - 9789811250644 - July 20, 2022
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Adventures In Financial Data Science: The Empirical Properties Of Financial And Economic Data - World Scientific Series in Finance Second edition

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This book provides insights into the true nature of financial and economic data, and is a practical guide on how to analyze a variety of data sources. The focus of the book is on finance and economics, but it also illustrates the use of quantitative analysis and data science in many different areas. Lastly, the book includes practical information on how to store and process data and provides a framework for data driven reasoning about the world. The book begins with entertaining tales from Graham Giller's career in finance, starting with speculating in UK government bonds at the Oxford Post Office, accidentally creating a global instant messaging system that went 'viral' before anybody knew what that meant, on being the person who forgot to hit 'enter' to run a hundred-million dollar statistical arbitrage system, what he decoded from his brief time spent with Jim Simons, and giving Michael Bloomberg a tutorial on Granger Causality. The majority of the content is a narrative of analytic work done on financial, economics, and alternative data, structured around both Dr Giller's professional career and some of the things that just interested him. The goal is to stimulate interest in predictive methods, to give accurate characterizations of the true properties of financial, economic and alternative data, and to share what Richard Feynman described as 'The Pleasure of Finding Things Out.'


450 pages

Media Books     Hardcover Book   (Book with hard spine and cover)
Released July 20, 2022
ISBN13 9789811250644
Publishers World Scientific Publishing Co Pte Ltd
Pages 512
Dimensions 237 × 158 × 37 mm   ·   886 g
Language English  

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