The Book of Alternative Data: A Guide for Investors, Traders and Risk Managers - Rilegato

Denev, Alexander; Amen, Saeed

Rilegato

ISBN 10: 1119601797 ISBN 13: 9781119601791

Casa editrice: John Wiley & Sons Inc, 2020

Riassunto

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 book:

• 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.

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Informazioni sull?autore

ALEXANDER DENEV is Head of AI, Financial Services - Risk Advisory at Deloitte LLP. Prior to that he led Quantitative Research & Advanced Analytics at IHS Markit. Previously, he held roles at the Royal Bank of Scotland, Societe Generale, and European Investment Bank. Denev is a visiting lecturer at the University of Oxford where he graduated with a degree in Mathematical Finance. He is author of numerous papers and books on novel methods of financial modeling with applications ranging from stress testing to asset allocation.

SAEED AMEN is the founder of Cuemacro, where he consults on systematic trading. For 15 years, he has developed systematic trading strategies and quantitative indices including at major investment banks, Lehman Brothers and Nomura. He is also a visiting lecturer at Queen Mary University of London and a co-founder of the Thalesians, a quant think tank.

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As investors search for innovative methods to generate superior returns, many are turning to alternative data. Alternative datasets already exist, for those who know where to look and who have the resources to acquire them. The difficulty lies in knowing how to analyze this data appropriately, generate signal from the noise, and act on alternative data insights to make investment decisions. The Book of Alternative Data: A Guide for Investors, Traders, and Risk Managers is the first book to comprehensively instruct readers in the process of making money by investing with alternative data.

Automotive supply chain data, satellite imagery, survey data, mobile phone location data, social media, and credit card transaction data are a few of the alternative data sources that investors and risk managers can use to generate a competitive edge. This book provides detailed case studies demonstrating how to locate and assess such datasets. More importantly, the authors present an end-to-end process for alternative data analysis and investing, so readers will be able to extract value from any source of alternative data, now and in the future.

Because alternative datasets are more expensive, more difficult to use, and generally newer than traditional data, the risks involved can be considerable. The Book of Alternative Data clarifies the murky waters of alternative data, helping readers understand and manage the unique risks. Alternative data can be easy to misinterpret, opening the possibility for costly errors. Legality and compliance are also major concerns. This book thoroughly addresses these and other considerations, leaving institutional investors and risk managers with a basis of knowledge that will enable them to extract the maximum value from alternative data.

For further resources related to the book, please see https://www.cuemacro.com/altdata

Dettagli dell?edizione

• Editore: John Wiley & Sons Inc
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 1119601797
• ISBN 13: 9781119601791
• Rilegatura: Copertina rigida
• Numero di pagine: 392
• Contatto del produttore: non disponibile