Machine Learning Approaches in Financial Analytics

Chapter 1 Introduction to Optimal Execution

Chapter 2 Python Stack for Design and Visualization in Financial Engineering

Chapter 3 Neurodynamic Approaches to Cardinality-Constrained Portfolio Optimization

Chapter 4 Fully Homomorphic Encrypted Wavelet Neural Network for Privacy-Preserving Bankruptcy Prediction in Banks

Chapter 5 Tools and Measurement Criteria of Ethical Finance Through Computational Finance

Chapter 6 Data Mining Techniques for Predicting the Non-performing Assets (NPA) of Banks in India

Chapter 7 Multiobjective Optimization of Mean–Variance-Downside-Risk Portfolio Selection Models

Chapter 8 Bankruptcy Forecasting of Indian Manufacturing Companies Post the Insolvency and Bankruptcy Code 2016 Using Machine Learning Techniques

Chapter 9 Ensemble Deep Reinforcement Learning for Financial Trading

Chapter 10 Bibliometric Analysis of Digital Financial Reporting

Chapter 11 The Quest for Financing Environmental Sustainability in Emerging Nations: Can Internet Access and Financial Technology Be Crucial?

Chapter 12 A Comprehensive Review of Bitcoin’s Energy Consumption and Its Environmental Implications

Chapter 13 Emerging Economies: Volatility Prediction in the Metal Futures Markets Using GARCH Model

Chapter 14 Constructing a Broad View of Tax Compliance Intentions Based on Big Data

Chapter 15 Influence of Firm-Specific Variables on Capital Structure Decisions: An Evidence from the Fintech Industry

Chapter 17 Stock Market Prediction Using Machine Learning: Evidence from India

Chapter 18 Realized Stock-Market Volatility: Do Industry Returns Have Predictive Value?

Chapter 19 Machine Learning Techniques for Corporate Governance

Chapter 20 Machine Learning Approaches for Forecasting Financial Market Volatility

Chapter 21 Deep Learning Models in Finance: Past, Present, and Future

Chapter 22 New Paradigm in Financial Technology Using Machine Learning Techniques and Their Applications