Artificial Intelligence and Big Data for Financial Risk Management : Intelligent Applications (Paperback)

1: Grey Model as a tool in dynamic portfolio selection: simple applications 2: Predicting Financial Statement Fraud Using Artificial Neural Networks 3: Bank Network Credit Model and Risk Management System Based on Big Data Technology 4: Deep Learning in Detecting Financial Statement Fraud: An Application of Deep Neural Network (Dnn) 5: Predicting Stock Return Risk and Volatility Using Neural Network: The case of the Egyptian Stock Exchange 6: Operation Analysis of Financial Sharing Center Based On Big Data Sharing Technology: Taking SF Express as an Example 7: Optimization Algorithms for Multiple-Asset Portfolios with Machine Learning Techniques: Theoretical Foundations of Optimum and Coherent Economic Capital Structures 8: Random Forest and Grey methodology in dynamic portfolio selection 9: The Role of Blockchain in Financial Applications: Architecture, Benefit, and Challenges 10: Using Computer Block Chain Technology to Analyze the Development Trend of China's Modern Financial Industry 11: Financial Efficiency Differentiation Based on Data Quantitative Analysis under Big Data Technology 12: Optimization Algorithms for Multiple-Asset Portfolios with Machine Learning Techniques: Practical Applications with Forecasting of Optimum and Coherent Economic Capital Structures 13: An Overview of Neural Network in Financial Risk Management