Alternative data and artificial intelligence techniques : applications in investment and risk management / Qingquan Tony Zhang, Beibei Li, Danxia Xie.
Zhang, Qingquan Tony, author.; Li, Beibei, author.; Xie, Danxia, author.
2022
HG4529.5
Available Online

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Title Alternative data and artificial intelligence techniques : applications in investment and risk management / Qingquan Tony Zhang, Beibei Li, Danxia Xie.
Author Zhang, Qingquan Tony, author.
ISBN 9783031116124 (electronic bk.)
3031116127 (electronic bk.)
3031116119
9783031116117
DOI https://doi.org/10.1007/978-3-031-11612-4
Imprint Cham, Switzerland : Palgrave Macmillan, 2022.
Language English
Description 1 online resource.
Other Standard Identifiers 10.1007/978-3-031-11612-4 doi
Call Number HG4529.5
Dewey Decimal Classification 332.1028563
Summary 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 data, etc. The book summarizes and introduces the advancement in each area and highlights the machine learning and deep learning techniques utilized to achieve the goals. As a complement, it also illustrates examples on how to leverage the python package to visualize and analyze the alternative datasets, and will be of interest to academics, researchers, and students of risk evaluation, risk management, data, AI, and financial innovation. 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. Xies 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Li, Beibei, author.
Xie, Danxia, author.
Series Palgrave studies in risk and insurance.
Available in Other Form Print version: 9783031116124
Print version: 9783031116117
ALTERNATIVE DATA AND ARTIFICIAL INTELLIGENCE TECHNIQUES.
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Chapter 1: The introduction of the portfolio management and risk evaluation
Chapter 2: The major trends in financial portfolio management
Chapter 3: Machine Learning and AI in financial portfolio management
Chapter 4: Introduction of Alternative data in Finance
Chapter 5: Alternative Data utilization from country perspective
Chapter 6: Smart Beta and Risk Factors based on Textural Data and Machine Learning
Chapter 7: Smart Beta and Risk Factors based on IoTs and AIoTs Data
Chapter 8: Environmental, Social Responsibility and Corporate Governance on Corporations
Chapter 9: Case Study Fraud and Deception Detection: Text-based Data Analytics
Chapter 10: Case Study Investment Risk Analysis based on Sentiment Analysis and implementation
Chapter 11: Case Study Analyzing the corporation performance with ESG Factors
Chapter 12: Alternative Data Visualization in Python.

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