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Alternative Data and Artificial Intelligence Techniques

Overview of attention for book
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 6: Smart Beta and Risk Factors Based on Textural Data and Machine Learning
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Chapter title
Smart Beta and Risk Factors Based on Textural Data and Machine Learning
Chapter number 6
Book title
Alternative Data and Artificial Intelligence Techniques
Published by
Palgrave Macmillan, Cham, January 2022
DOI 10.1007/978-3-031-11612-4_6
Book ISBNs
978-3-03-111611-7, 978-3-03-111612-4
Authors

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

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 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Business, Management and Accounting 1 100%

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