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Alternative Data and Artificial Intelligence Techniques

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Cover of 'Alternative Data and Artificial Intelligence Techniques'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Quantitative Portfolio Management and Risk Management
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    Chapter 2 The Major Trends in Global Financial Asset Management
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    Chapter 3 Machine Learning and AI in Financial Portfolio Management
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    Chapter 4 Introduction of Alternative Data in Finance
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    Chapter 5 Alternative Data Utilization from a Country Perspective
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    Chapter 6 Smart Beta and Risk Factors Based on Textural Data and Machine Learning
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    Chapter 7 Smart Beta and Risk Factors Based on IoTs
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    Chapter 8 Environmental, Social Responsibility, and Corporate Governance (ESG) Factors of Corporations
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    Chapter 9 Sentiment Factors in Finance
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    Chapter 10 Fraud and Deception Detection: Text-Based Data Analytics
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    Chapter 11 Machine Learning Technique in Trading: A Case Study in the EURUSD Market
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    Chapter 12 Analyzing the Special Purpose Acquisition Corporation (SPAC) with ESG Factors
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    Chapter 13 ESG Impacts on Corporation’s Fundamental: Studies from the Healthcare Industry
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    Chapter 14 Data Visualization
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    Chapter 15 Interacting with a MongoDB Database from a Python Function in AWS Lambda
Attention for Chapter 3: Machine Learning and AI in Financial Portfolio Management
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Chapter title
Machine Learning and AI in Financial Portfolio Management
Chapter number 3
Book title
Alternative Data and Artificial Intelligence Techniques
Published by
Palgrave Macmillan, Cham, January 2022
DOI 10.1007/978-3-031-11612-4_3
Book ISBNs
978-3-03-111611-7, 978-3-03-111612-4
Authors

Zhang, Qingquan Tony, Li, Beibei, Xie, Danxia

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