Alternative Data and Artificial Intelligence Techniques

Applications in Investment and Risk Management

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Éditeur :

Palgrave Macmillan

Paru le : 2022-10-31

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, and risk predictions based on small transaction ...
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À propos



Collection
n.c

Parution
2022-10-31

Pages
330 pages

EAN papier
9783031116117

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.

Caractéristiques détaillées - droits

EAN PDF
9783031116124
Prix
158,24 €
Nombre pages copiables
3
Nombre pages imprimables
33
Taille du fichier
7137 Ko
EAN EPUB
9783031116124
Prix
158,24 €
Nombre pages copiables
3
Nombre pages imprimables
33
Taille du fichier
24986 Ko

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