Artificial Intelligence and Big Data for financial risk management: intelligent applications
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,...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | , |
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London ; New York
Routledge, Taylor & Francis Group
2023
|
| Schriftenreihe: | Banking, money and international finance
31 |
| Schlagworte: | |
| Zusammenfassung: | 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. The book presents numerous specific use-cases throughout, showing practical applications of the concepts discussed. It looks at technologies such as eye movement analysis, data mining or mobile apps and examines how these technologies are applied by financial institutions, and how this affects both the institutions and the market. This work introduces students and aspiring practitioners to the subject of risk management in a structured manner. It is primarily aimed at researchers and students in finance and intelligent big data applications, such as intelligent information systems, smart economics and finance applications, and the internet of things in a marketing environment |
| Beschreibung: | 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 |
| Beschreibung: | xii, 233 Seiten Illustrationen 453 gr |
| ISBN: | 9780367700584 9780367700560 |
Internformat
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| 490 | 1 | |a Banking, money and international finance |v 31 | |
| 500 | |a 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 | ||
| 520 | |a 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. The book presents numerous specific use-cases throughout, showing practical applications of the concepts discussed. It looks at technologies such as eye movement analysis, data mining or mobile apps and examines how these technologies are applied by financial institutions, and how this affects both the institutions and the market. This work introduces students and aspiring practitioners to the subject of risk management in a structured manner. It is primarily aimed at researchers and students in finance and intelligent big data applications, such as intelligent information systems, smart economics and finance applications, and the internet of things in a marketing environment | ||
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| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035109046 | |
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| physical | xii, 233 Seiten Illustrationen 453 gr |
| publishDate | 2023 |
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| spelling | Artificial Intelligence and Big Data for financial risk management intelligent applications edited by Noura Metawa, M. Kabir Hassan and Saad Metawa London ; New York Routledge, Taylor & Francis Group 2023 xii, 233 Seiten Illustrationen 453 gr txt rdacontent n rdamedia nc rdacarrier Banking, money and international finance 31 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 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. The book presents numerous specific use-cases throughout, showing practical applications of the concepts discussed. It looks at technologies such as eye movement analysis, data mining or mobile apps and examines how these technologies are applied by financial institutions, and how this affects both the institutions and the market. This work introduces students and aspiring practitioners to the subject of risk management in a structured manner. It is primarily aimed at researchers and students in finance and intelligent big data applications, such as intelligent information systems, smart economics and finance applications, and the internet of things in a marketing environment bicssc / Economics bicssc / Banking bicssc / Environmental science, engineering & technology bicssc / Electrical engineering bicssc / Electronics engineering bicssc / Research & development management bisacsh / BUSINESS & ECONOMICS / Industries / Financial Services bisacsh / TECHNOLOGY & ENGINEERING / Automation bisacsh / BUSINESS & ECONOMICS / Finance / Financial Engineering bisacsh / COMPUTERS / Data Science / Data Analytics bisacsh / BUSINESS & ECONOMICS / Economics / General (DE-588)4143413-4 Aufsatzsammlung gnd-content Metawa, Noura edt Hassan, M. Kabir 1963- (DE-588)133341070 edt Metawa, Saad edt Erscheint auch als Online-Ausgabe 978-1-003-14441-0 Banking, money and international finance 31 (DE-604)BV042255476 31 |
| spellingShingle | Metawa, Noura Artificial Intelligence and Big Data for financial risk management intelligent applications bicssc / Economics bicssc / Banking bicssc / Environmental science, engineering & technology bicssc / Electrical engineering bicssc / Electronics engineering bicssc / Research & development management bisacsh / BUSINESS & ECONOMICS / Industries / Financial Services bisacsh / TECHNOLOGY & ENGINEERING / Automation bisacsh / BUSINESS & ECONOMICS / Finance / Financial Engineering bisacsh / COMPUTERS / Data Science / Data Analytics bisacsh / BUSINESS & ECONOMICS / Economics / General Banking, money and international finance |
| subject_GND | (DE-588)4143413-4 |
| title | Artificial Intelligence and Big Data for financial risk management intelligent applications |
| title_auth | Artificial Intelligence and Big Data for financial risk management intelligent applications |
| title_exact_search | Artificial Intelligence and Big Data for financial risk management intelligent applications |
| title_full | Artificial Intelligence and Big Data for financial risk management intelligent applications edited by Noura Metawa, M. Kabir Hassan and Saad Metawa |
| title_fullStr | Artificial Intelligence and Big Data for financial risk management intelligent applications edited by Noura Metawa, M. Kabir Hassan and Saad Metawa |
| title_full_unstemmed | Artificial Intelligence and Big Data for financial risk management intelligent applications edited by Noura Metawa, M. Kabir Hassan and Saad Metawa |
| title_short | Artificial Intelligence and Big Data for financial risk management |
| title_sort | artificial intelligence and big data for financial risk management intelligent applications |
| title_sub | intelligent applications |
| topic | bicssc / Economics bicssc / Banking bicssc / Environmental science, engineering & technology bicssc / Electrical engineering bicssc / Electronics engineering bicssc / Research & development management bisacsh / BUSINESS & ECONOMICS / Industries / Financial Services bisacsh / TECHNOLOGY & ENGINEERING / Automation bisacsh / BUSINESS & ECONOMICS / Finance / Financial Engineering bisacsh / COMPUTERS / Data Science / Data Analytics bisacsh / BUSINESS & ECONOMICS / Economics / General |
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