ABSTRACT
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
TABLE OF CONTENTS
part I|42 pages
Alternative Data: Processing and Impact
chapter 30Chapter 2|16 pages
Contemplation and Reflection on Using Alternative Data for Trading and Fund Management
part II|60 pages
Coupling Models with Alternative Data for Financial Analytics
chapter 72Chapter 4|28 pages
Enhanced Corporate Bond Yield Modeling Incorporating Macroeconomic News Sentiment
part III|114 pages
Handling Different Alternative Datasets
part IV|170 pages
Alternative Data Use Cases in Finance
part IV.A|33 pages
Application in Trading and Fund Management (Finding New Alpha)
part IV.B|70 pages
Application in Risk Control
chapter Chapter 14|32 pages
Hot Off the Press: Predicting Intraday Risk and Liquidity with News Analytics
part IV.C|66 pages
Case Studies on ESG
