Financial Data Analytics : Theory and Application

PART 1. INTRODUCTION AND ANALYTICS MODELS -- Retraining and Reskilling Financial Participators in the Digital Age -- Basics of Financial Data Analytics -- Predictive Analytics Techniques: Theory and Applications in Finance -- Prescriptive Analytics Techniques: Theory and Applications in Finance -- Forecasting Returns of Crypto Currency - Analyzing Robustness of Auto Regressive and Integrated Moving Average (ARIMA) and Artificial Neural Networks (ANNS) -- PART 2. MACHINE LEARNING -- Machine Learning in Financial Markets: Dimension Reduction and Support Vector Machine -- Pruned Random Forests for Effective and Efficient Financial Data Analytics -- Foreign Currency Exchange Rate Prediction Using Long Short Term Memory -- Natural Language Processing (NLP) for Exploring Culture in Finance: Theory and Applications -- PART 3. TECHNOLOGY DRIVEN FINANCE -- Financial Networks: A Review of Models and the Use of Network Similarities -- Optimization of Regulatory Economic-Capital Structured Portfolios: Modeling Algorithms, Financial Data Analytics and Reinforcement Machine Learning in Emerging Markets -- Transforming Insurance Business with Data Science -- A General Cyber Hygiene Approach for Financial Analytical Environment.