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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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