Alternative Data and Artificial Intelligence Techniques
Language: English
Published by Springer, Berlin|Springer International Publishing|Palgrave Macmillan, 2023
- Softcover
- New
Seller: moluna, Greven, Germanymoluna
AbeBooks seller since July 9, 2020
Condition: New
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Add to basketItem description from seller
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book introduces a state-of-art approach in evaluating portfolio management and risk based on artificial intelligence and alternative data. The book covers a textual analysis of news and social media, information extraction from GPS and IoTs data, an.
Seller Inventory # 1155871976
- Title
- Alternative Data and Artificial Intelligence Techniques
- Author
- Zhang, Qingquan Tony|Li, Beibei|Xie, Danxia
- Publisher
- Springer, Berlin|Springer International Publishing|Palgrave Macmillan
- Publication year
- 2023
- Condition
- New
- Binding
- Kartoniert / Broschiert
- Language
- English
- ISBN 10
- 3031116143
- ISBN 13
- 9783031116148
Includes multiple use cases to illustrate the powerfulness of alternative data to study anomalies
Covers the largest amount of the alternative data providers and producers in the world
"Synopsis" may belong to another edition of this title.
About the Author
Qingquan Tony Zhang is an Adjunct Professor at the University of Illinois at Champaign, R.C. Evan Fellow, Gies Business School, focusing on finance, quantitative investment and entrepreneurship. He is President of the Chicago chapter of the Chinese American Association for Trading and Investment, who has long worked in FinTech, including artificial intelligence and big data.
Beibei Li is an Associate Professor of IT & Management and Anna Loomis McCandless Chair at Carnegie Mellon University. Dr. Li has extensive experience at leveraging large-scale observational data analytics and experimental analysis with a strong focus on modeling individual user behavior across online, offline, and mobile channels for decision support.
Danxia Xie is an Associate Professor in Economics at Tsinghua University, China. Dr. Xie’s teaching and research focuses on digital economy, finance, law and economics, and macroeconomics. Dr. Xie has also worked at Peterson Institute for International Economics, a top think tank at Washington, DC.
"About the title" may belong to another edition of this title.
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