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