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The Book of Alternative Data: A Guide for Investors, Traders and Risk Managers
The first and only book to systematically address methodologies and processes of leveraging non-traditional information sources in the context of investing and risk management
Harnessing non-traditional data sources to generate alpha, analyze markets, and forecast risk is a subject of intense interest for financial professionals. A growing number of regularly-held conferences on alternative data are being established, complemented by an upsurge in new papers on the subject. Alternative data is starting to be steadily incorporated by conventional institutional investors and risk managers throughout the financial world. Methodologies to analyze and extract value from alternative data, guidance on how to source data and integrate data flows within existing systems is currently not treated in literature. Filling this significant gap in knowledge, The Book of Alternative Data is the first and only book to offer a coherent, systematic treatment of the subject.
This groundbreaking volume provides readers with a roadmap for navigating the complexities of an array of alternative data sources, and delivers the appropriate techniques to analyze them. The authors--leading experts in financial modeling, machine learning, and quantitative research and analytics--employ a step-by-step approach to guide readers through the dense jungle of generated data. A first-of-its kind treatment of alternative data types, sources, and methodologies, this innovative
Provides an integrated modeling approach to extract value from multiple types of datasets Treats the processes needed to make alternative data signals operational Helps investors and risk managers rethink how they engage with alternative datasets Features practical use case studies in many different financial markets and real-world techniques Describes how to avoid potential pitfalls and missteps in starting the alternative data journey Explains how to integrate information from different datasets to maximize informational value The Book of Alternative Data is an indispensable resource for anyone wishing to analyze or monetize different non-traditional datasets, including Chief Investment Officers, Chief Risk Officers, risk professionals, investment professionals, traders, economists, and machine learning developers and users.
Harnessing non-traditional data sources to generate alpha, analyze markets, and forecast risk is a subject of intense interest for financial professionals. A growing number of regularly-held conferences on alternative data are being established, complemented by an upsurge in new papers on the subject. Alternative data is starting to be steadily incorporated by conventional institutional investors and risk managers throughout the financial world. Methodologies to analyze and extract value from alternative data, guidance on how to source data and integrate data flows within existing systems is currently not treated in literature. Filling this significant gap in knowledge, The Book of Alternative Data is the first and only book to offer a coherent, systematic treatment of the subject.
This groundbreaking volume provides readers with a roadmap for navigating the complexities of an array of alternative data sources, and delivers the appropriate techniques to analyze them. The authors--leading experts in financial modeling, machine learning, and quantitative research and analytics--employ a step-by-step approach to guide readers through the dense jungle of generated data. A first-of-its kind treatment of alternative data types, sources, and methodologies, this innovative
Provides an integrated modeling approach to extract value from multiple types of datasets Treats the processes needed to make alternative data signals operational Helps investors and risk managers rethink how they engage with alternative datasets Features practical use case studies in many different financial markets and real-world techniques Describes how to avoid potential pitfalls and missteps in starting the alternative data journey Explains how to integrate information from different datasets to maximize informational value The Book of Alternative Data is an indispensable resource for anyone wishing to analyze or monetize different non-traditional datasets, including Chief Investment Officers, Chief Risk Officers, risk professionals, investment professionals, traders, economists, and machine learning developers and users.
- GenresEconomics
416 pages, Kindle Edition
Published July 21, 2020
19 people are currently reading
73 people want to read
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Displaying 1 of 1 review
August 31, 2021
An ok book which focuses on working with alternative data for financial purposes.
Book encompass a sort of step-by-step guide, mainly focused on big firms, on how to develop internally a routine for working with alternative data. There is a good amount of machine learning content at the beginning, showing many concepts and software to use when working on many scenarios, from completing missing data from a vendor to developing a factor-based strategy.
After that, the authors points to some possible strategies using alternative data. I think this is the weakest point of the book, as some ideas here, even though acceptable to beginners, aren't deep enough for those who already use alternative data, as authors considers even price for forex as a possible alternative data, if hard to find.
Estimated reading time: 8h
Book encompass a sort of step-by-step guide, mainly focused on big firms, on how to develop internally a routine for working with alternative data. There is a good amount of machine learning content at the beginning, showing many concepts and software to use when working on many scenarios, from completing missing data from a vendor to developing a factor-based strategy.
After that, the authors points to some possible strategies using alternative data. I think this is the weakest point of the book, as some ideas here, even though acceptable to beginners, aren't deep enough for those who already use alternative data, as authors considers even price for forex as a possible alternative data, if hard to find.
Estimated reading time: 8h
Displaying 1 of 1 review