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Handbook of Alternative Data in Finance, Volume I PDF

478 Pages·2023·33.532 MB·English
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About Handbook of Alternative Data in Finance, Volume I

Handbook of Alternative Data in Finance, Volume I motivates and challenges the reader to explore and apply Alternative Data in finance. The book provides a robust and in-depth overview of Alternative Data, including its definition, characteristics, difference from conventional data, categories of Alternative Data, Alternative Data providers, and more. The book also offers a rigorous and detailed exploration of process, application and delivery that should be practically useful to researchers and practitioners alike. Features Includes cutting edge applications in machine learning, fintech, and more Suitable for professional quantitative analysts, and as a resource for postgraduates and researchers in financial mathematicsFeatures chapters from many leading researchers and practitioners

Detailed Information

Author:Gautam Mitra, Christina Erlwein-Sayer, Kieu Thi Hoang, Diana Roman, Zryan Sadik
Publication Year:2023
ISBN:9781032276489
Pages:478
Language:English
File Size:33.532
Format:PDF
Price:FREE
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