Artificial Intelligence and Big Data for Financial Risk Management (eBook, PDF)

Intelligent Applications
Redaktion: Metawa, Noura; Metawa, Saad; Hassan, M. Kabir

• Format: PDF

Produktbeschreibung

This book presents a collection of high-quality contributions on the state-of-the-art in Artificial Intelligence and Big Data analysis as it relates to financial risk management applications. It brings together, in one place, the latest thinking on an emerging topic and includes principles, reviews, examples, and research directions.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 246
• Erscheinungstermin: 31. August 2022
• Englisch
• ISBN-13: 9781000645279
• Artikelnr.: 64560959

Autorenporträt

Noura Metawa is Assistant Professor of Finance at the Faculty of Commerce, Mansoura University, Egypt, and at the College of Business Administration, University of Sharjah, Sharjah, UAE. M. Kabir Hassan is Professor of Finance in the Department of Economics and Finance at the University of New Orleans, Louisiana, USA. Saad Metawa is Professor of Finance at the Faculty of Commerce, Mansoura University, Dakahliya, Egypt.

Inhaltsangabe

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