A big picture analysis of quantitative factor investing combined with practical tools and strategies, including the latest machine learning techniques
In The Quantamental Revolution: Factor Investing in the Age of Machine Learning, veteran quantitative investor and strategist, Milind Sharma, delivers a comprehensive discussion of factor investing, risk premia, smart betas, multi-factor models and the deployment of ML ensembles towards monetizing alpha in the hedge fund world. Sharma draws on 30 years of industry and academic experience to bring us up to date on the cutting edge of quantitative factor investing.
You’ll learn about the basics of Fama-French and obtain a practical blueprint for taming the factor zoo. This book provides a comprehensive factor investing framework designed to improve your investment process informed by an insightful industry perspective and backed up by 1st hand eye witness stories as narrated by the author.
The Quantamental Revolution also includes:
Perfect for early-career quantitative investors and analysts, traders, and market data professionals, The Quantamental Revolution is also an essential read for portfolio managers interested in improving their investment processes. The engaging anecdotal vignettes coupled with academic rigor provide the reader with an authentic front row seat to the evolution of Quantamental investing on Wall Street over the past three decades.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
MILIND SHARMA is Founder of QuantZ Capital and its research arm, QMIT, with over thirty years of quant experience. He has led and advised hedge funds, mutual funds, and proprietary trading desks at Deutsche Bank, RBC Capital Markets, and Merrill Lynch Investment Managers (now BlackRock). His work has been associated with award-winning investment strategies. He has published and lectured extensively in addition to founding New York's premier quant society. His educational background includes Oxford, Carnegie Mellon, Vassar, UWC, and Wharton.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. A big picture analysis of quantitative factor investing combined with practical tools and strategies, including the latest machine learning techniques In The Quantamental Revolution: Factor Investing in the Age of Machine Learning, veteran quantitative investor and strategist, Milind Sharma, delivers a comprehensive discussion of factor investing, risk premia, smart betas, multi-factor models and the deployment of ML ensembles towards monetizing alpha in the hedge fund world. Sharma draws on 30 years of industry and academic experience to bring us up to date on the cutting edge of quantitative factor investing. Youll learn about the basics of Fama-French and obtain a practical blueprint for taming the factor zoo. This book provides a comprehensive factor investing framework designed to improve your investment process informed by an insightful industry perspective and backed up by 1st hand eye witness stories as narrated by the author. The Quantamental Revolution also includes: A mature and sweeping perspective, simultaneously incorporating industry (insider) insights and academic rigor, not provided by any other referenceNovel research backed by live performance leveraging a huge factor libraryA practical reinvention of buy-side equities using a spanning set of factors and ML enhanced smart betas Perfect for early-career quantitative investors and analysts, traders, and market data professionals, The Quantamental Revolution is also an essential read for portfolio managers interested in improving their investment processes. The engaging anecdotal vignettes coupled with academic rigor provide the reader with an authentic front row seat to the evolution of Quantamental investing on Wall Street over the past three decades. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781394354849
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Hardback. Etat : New. A big picture analysis of quantitative factor investing combined with practical tools and strategies, including the latest machine learning techniques In The Quantamental Revolution: Factor Investing in the Age of Machine Learning, veteran quantitative investor and strategist, Milind Sharma, delivers a comprehensive discussion of factor investing, risk premia, smart betas, multi-factor models and the deployment of ML ensembles towards monetizing alpha in the hedge fund world. Sharma draws on 30 years of industry and academic experience to bring us up to date on the cutting edge of quantitative factor investing. You'll learn about the basics of Fama-French and obtain a practical blueprint for taming the factor zoo. This book provides a comprehensive factor investing framework designed to improve your investment process informed by an insightful industry perspective and backed up by 1st hand eye witness stories as narrated by the author. The Quantamental Revolution also includes: A mature and sweeping perspective, simultaneously incorporating industry (insider) insights and academic rigor, not provided by any other referenceNovel research backed by live performance leveraging a huge factor libraryA practical reinvention of buy-side equities using a spanning set of factors and ML enhanced smart betas Perfect for early-career quantitative investors and analysts, traders, and market data professionals, The Quantamental Revolution is also an essential read for portfolio managers interested in improving their investment processes. The engaging anecdotal vignettes coupled with academic rigor provide the reader with an authentic front row seat to the evolution of Quantamental investing on Wall Street over the past three decades. N° de réf. du vendeur LU-9781394354849
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