Description
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.
