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Handbook of Alternative Data in Finance, Volume I
Christina Erlwein-Sayer , Diana Roman , Gautam Mitra , Kieu Thi Hoang , Zryan Sadik
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 mathematics
- Features chapters from many leading researchers and practitioners
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