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AI in the Financial Markets : New Algorithms and Solutions / / Federico Cecconi, editor
| AI in the Financial Markets : New Algorithms and Solutions / / Federico Cecconi, editor |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (140 pages) |
| Disciplina | 332.028563 |
| Collana | Computational Social Sciences Series |
| Soggetto topico | Artificial intelligence - Financial applications |
| ISBN |
9783031265181
9783031265174 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Artificial Intelligence and Financial Markets -- Chapter 2. AI, the overall picture -- Chapter 3. Financial markets: values, dynamics, problems -- Chapter 4. The AI's Role in the Great Reset -- Chapter 5. AI Fintech: find out the truth -- Chapter 6. ABM applications to Financial Markets -- Chapter 7. ML application to the Financial Market -- Chapter 8. AI tools for pricing of distressed asset utp and npl loan portfolios -- Chapter 9. More than data science: FuturICT 2.0 -- Chapter 10. Opinion dynamics. |
| Record Nr. | UNINA-9910683341803321 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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AI in the Financial Markets : New Algorithms and Solutions / / Federico Cecconi, editor
| AI in the Financial Markets : New Algorithms and Solutions / / Federico Cecconi, editor |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (140 pages) |
| Disciplina | 332.028563 |
| Collana | Computational Social Sciences Series |
| Soggetto topico | Artificial intelligence - Financial applications |
| ISBN |
9783031265181
9783031265174 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Artificial Intelligence and Financial Markets -- Chapter 2. AI, the overall picture -- Chapter 3. Financial markets: values, dynamics, problems -- Chapter 4. The AI's Role in the Great Reset -- Chapter 5. AI Fintech: find out the truth -- Chapter 6. ABM applications to Financial Markets -- Chapter 7. ML application to the Financial Market -- Chapter 8. AI tools for pricing of distressed asset utp and npl loan portfolios -- Chapter 9. More than data science: FuturICT 2.0 -- Chapter 10. Opinion dynamics. |
| Record Nr. | UNISA-996546826703316 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Artificial financial intelligence in China / / Dawei Zhao, Wenting Zhang
| Artificial financial intelligence in China / / Dawei Zhao, Wenting Zhang |
| Autore | Zhao Dawei |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (200 pages) |
| Disciplina | 332.028563 |
| Collana | Financial mathematics and FinTech |
| Soggetto topico | Artificial intelligence - Financial applications |
| ISBN | 981-16-5592-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Contents -- Chapter 1: FinTech Towards Intelligent Finance -- 1.1 The Rise of AI Finance -- 1.1.1 Global Trends in Artificial Intelligence Development -- 1.1.2 What is Intelligent Finance? -- 1.1.3 Features of Intelligent Finance -- 1.1.3.1 Self-Learning Intelligent Technology -- 1.1.3.2 Ecological Cooperation with Closed-Loop Data -- 1.1.3.3 Technology Driven Business Innovation -- 1.2 Application of Artificial Intelligence in the Financial Field -- 1.2.1 Improved Efficiency of Financial Transactions -- 1.2.2 Provision of Intelligent Financial Management Service -- 1.2.3 Development of a Disruptive Business Model for the Insurance Industry -- 1.2.4 Improved Customer Service Experience -- 1.2.5 Robotic Process Automation -- 1.2.6 Information Extraction and Compliance and Fraud Prevention Using Image Recognition -- 1.2.7 Improved Credit Scoring and Credit Loan Services -- 1.3 The Development Stages of FinTech in China -- 1.3.1 Computerized Financial Services -- 1.3.2 Financial Informatization -- 1.3.3 Internet Finance -- 1.3.4 Intelligent Finance -- 1.4 The Impact of Artificial Intelligence on the Financial Industry -- 1.4.1 Crowding Out Risks Introduced by Disruptive Technologies -- 1.4.2 Challenges to Data Security and Personal Privacy Protection -- 1.4.3 The Abuse of Facial Recognition Technology -- 1.4.4 Technical Risks Caused by Algorithm Black Box and Algorithm Discrimination -- 1.4.5 The Humanized Development of Artificial Intelligence -- Chapter 2: Scientific and Technological Supervision of Artificial Intelligence -- 2.1 The International Status of Artificial Intelligence Supervision -- 2.1.1 The USA-Guide by Framework and Legislate Normatively -- 2.1.2 The European Union-Rules First, Focus on the Protection of Human Rights.
2.1.2.1 The EU´s Objective in Artificial Intelligence: Assess Which Technologies Pose a Threat to Fundamental Human Rights -- 2.1.2.2 Chief Concern of the European Commission: Ethical Standards -- 2.1.2.3 European Commission Supervision of Artificial Intelligence: A Process of Continuous Exploration -- 2.1.2.4 The EU´s Existing Laws and Regulations on the Supervision of FinTech -- 2.1.3 The United Kingdom-Supervision Within the Framework of Laws and Guidelines -- 2.1.4 Canada-Lead by Strategies and Guide by Principles -- 2.1.4.1 Guiding Principles for Artificial Intelligence -- 2.1.4.2 List of Artificial Intelligence Suppliers -- 2.1.4.3 Algorithmic Impact Assessment (AIA) -- 2.1.4.4 Directive on Automated Decision-Making -- 2.1.4.5 Strategic Plan for Information Management and Information Technology 2017-2021 -- 2.1.5 Japan-Promote Development with Supervision and Focus on Employees´ Ethics -- 2.1.5.1 Unique Aspects in the Application of Artificial Intelligence in Japan -- 2.1.5.2 Japan´s Artificial Intelligence Society 5.0 -- 2.1.6 Hong Kong-Early Stages of Supervision and the Clarification of Basic Principles -- 2.1.7 Singapore-Guided by Plans and Extensive Cooperation -- 2.2 Development Background and Function of ``Artificial Intelligence + Financial Supervision´´ -- 2.2.1 Background Analysis of ``Artificial Intelligence + Financial Supervision´´ -- 2.2.2 The Role of ``Artificial Intelligence + Financial Supervision´´ -- 2.2.2.1 Provide Technical Solutions for Financial Regulatory Agencies to Reduce Regulatory Pressure and Costs -- 2.2.2.2 Deal Effectively with the Risks of ``Technology + Finance´´ -- 2.2.2.3 Give Birth to a New Industry -- 2.3 New Risks and New Challenges -- 2.3.1 Increased Complexity and Scope of Risk -- 2.3.2 Illegal Operation -- 2.3.3 Challenges for Financial Consumer Protection. 2.3.4 Insufficient Attention to Warning and Preventive Measures -- 2.3.5 Technical Risks and Data Risks -- 2.3.6 Regulatory Arbitrage -- 2.4 China´s Intelligent Financial Supervision Development Status -- 2.4.1 China Banking and Insurance Regulatory Commission Practice -- 2.4.2 China Securities Regulatory Commission Practice -- 2.4.3 Beijing´s Practice-``Beijing Financial Risk Control Cockpit´´ -- 2.4.4 Guangzhou, Xi ´an and Tianjin´s Practice- ``Ant Risk Brain´´ -- 2.4.5 Shenzhen´s Practice-``Lingkun Financial Security Big Data Platform´´ -- 2.4.6 Ningbo´s Practice- ``Tianluo Diwang´´ Financial Risk Monitoring and Control System -- 2.4.6.1 Risk Monitoring -- 2.4.6.2 Risk Early Warning -- 2.4.6.3 Risk Disposal -- 2.4.6.4 Institutional Supervision -- 2.4.6.5 Statistical Assessment -- 2.4.7 Analysis of Existing Problems in the Development Process of ``Artificial Intelligence + Financial Supervision´´ in China -- 2.4.7.1 Insufficient Planning -- 2.4.7.2 Lag in Development of Rules and Standards -- 2.4.7.3 Insufficient Overall Technical Ability -- 2.4.7.4 Risks Inherent in the Technology -- 2.4.7.5 Unbalanced Development and Application of Different Systems -- 2.5 Policy Suggestions on Artificial Intelligence Research and Development and Application in Financial Supervision -- 2.5.1 Understanding the Scope and Ability of ``Artificial Intelligence + Financial Supervision´´ -- 2.5.2 Formulating a Basic Rule System and Strengthening Standardization -- 2.5.3 Building a Risk Early Warning System, and Strengthening the Ability of Financial Regulatory Institutions to Prevent and ... -- 2.5.4 Monitoring the Business Behaviours of FinTech Suppliers -- 2.5.5 Grasping the New Challenges of Financial Consumer Protection -- 2.5.6 Enhancing International Cooperation -- Chapter 3: Technical Path of Artificial Intelligence Compliance Efficiency. 3.1 Development Status of CompTech -- 3.1.1 The Development Scale of CompTech -- 3.1.2 Application Scenarios of CompTech -- 3.2 Application of CompTech -- 3.2.1 Data Processing and Analysis, Optimization of Compliance Construction -- 3.2.2 Identity Verification and Management, Financial Crime Prevention -- 3.2.3 Compliance Review and Evaluation, Reduction of Compliance Costs -- 3.2.4 Risk Early Warning and Testing, Improved Prediction Ability -- 3.3 Challenges and Risks of CompTech -- 3.3.1 Limitations of the Algorithm Decision -- 3.3.2 Lack of Support System -- 3.3.3 Quality and Security of Data and Information -- 3.3.4 The Legal Risk of Liability Confirmation -- 3.3.5 Policy Suggestions for Promoting the Development of Compliance Technology -- 3.3.5.1 Regulatory Big Data Platform -- 3.3.5.2 Technical Management to Protect Consumer Rights and Interests -- 3.3.5.3 Coordinated Development of Compliance and Supervision -- 3.3.5.4 Unified Standards and Improved Supporting Guarantee Mechanism -- Chapter 4: Smart Payment in China -- 4.1 Application Mode of Smart Payment -- 4.1.1 Front-end Application Mode -- 4.1.1.1 Smart Account -- 4.1.1.2 Tools for Smart Payment -- 4.1.1.3 Smart Customer Service -- 4.1.2 Back-end Application Mode -- 4.1.2.1 Precise Service Provision -- 4.1.2.2 Intelligent Regulation -- 4.2 Application Scenario of Smart Payment -- 4.2.1 Application Scenario of AI Payment Abroad -- 4.2.1.1 Application Scenario of AI Payment Abroad in the Financial Industry -- 4.2.1.2 Multi-dimensional Application Scenario of AI Payment Abroad -- 4.2.2 Application Scenario of AI Payment in China -- 4.2.2.1 Application Scenario of AI Payment in China´s Financial Industry -- 4.2.2.2 Multi-dimensional Application Scenario of AI Payment in China -- 4.3 Strengths and Deficiencies of Smart Payment -- 4.3.1 Strengths of AI Payment. 4.3.1.1 Improves Payment Security -- 4.3.1.2 Improves Payment Efficiency -- 4.3.1.3 Optimizes Supply and Demand Matching -- 4.3.2 Deficiencies of AI Payment -- 4.3.2.1 Defective Laws and Regulations -- 4.3.2.2 Immature Products or Services -- 4.3.2.3 Ambiguous Regulatory Position -- 4.3.2.4 Insufficient Depth and Breadth of Technology Application -- 4.3.2.5 Unbalanced Reserve of Talents -- 4.4 Smart Payment Risks -- 4.4.1 Information Security Risk -- 4.4.2 Legal Risk -- 4.4.3 Technical Risk -- 4.4.4 Regulatory Risk -- 4.4.5 Systemic Risk -- 4.5 Policy Suggestions for Developing AI in Payment -- 4.5.1 Complete the Legal System -- 4.5.2 Stipulate Data Standard -- 4.5.3 Clarify Rights and Responsibility of Regulation -- 4.5.4 Optimize the Upgrade of AI Technology -- 4.5.5 Strengthen Security Assessment -- 4.5.6 Cultivate Inter-disciplinary Talent -- 4.5.7 Implement Protection Mechanism -- Chapter 5: Opportunities, Risks, and Breakdowns Brought by AI to Commercial Banks -- 5.1 Commercial Banks and Scientific and Technological Development -- 5.1.1 The Relationship Between Commercial Banks and Information Technology -- 5.1.2 Weak Spots of Commercial Bank Business -- 5.1.3 Digital Transformation of Commercial Banks -- 5.2 Application of AI in Commercial Banks -- 5.2.1 Motivation for Commercial Banks to Apply AI -- 5.2.2 Current Situation of AI Application in Commercial Banks -- 5.2.2.1 Intelligent Marketing -- 5.2.2.2 Intelligent Credit -- 5.2.2.3 Intelligent Customer Service -- 5.2.2.4 Intelligent Investment Advisor -- 5.2.2.5 Intelligent Operation -- 5.2.2.6 Intelligent Risk Control -- 5.2.3 The Positive Effect of AI Application in Commercial Banks -- 5.2.4 Potential Risks of AI Application in Commercial Banks -- 5.2.4.1 Traditional Financial Risk -- 5.2.4.2 Information Technology Risk -- 5.2.4.3 Data Leakage Risk -- 5.2.4.4 Market Monopoly Risk. 5.2.4.5 Network Attack Risk. |
| Record Nr. | UNINA-9910506399203321 |
Zhao Dawei
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| Gateway East, Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence Applications in Banking and Financial Services [[electronic resource] ] : Anti Money Laundering and Compliance / / by Abhishek Gupta, Dwijendra Nath Dwivedi, Jigar Shah
| Artificial Intelligence Applications in Banking and Financial Services [[electronic resource] ] : Anti Money Laundering and Compliance / / by Abhishek Gupta, Dwijendra Nath Dwivedi, Jigar Shah |
| Autore | Gupta Abhishek |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (147 pages) |
| Disciplina | 332.028563 |
| Altri autori (Persone) |
DwivediDwijendra Nath
ShahJigar |
| Collana | Future of Business and Finance |
| Soggetto topico |
Financial engineering
Artificial intelligence Mathematical optimization Crime Technology Financial Technology and Innovation Artificial Intelligence Optimization Crime and Technology |
| ISBN | 981-9925-71-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Introduction to financial crimes and its participants -- Chapter 2: Anti financial crimes organization overview in a financial institution -- Chapter 3: Financial institutions approach to curbing and mitigating financial crimes -- Chapter 4: IT solutions for monitoring and managing financial crimes -- Chapter 5: Typical challenges faced by AML and compliance divisions -- Chapter 6: Applications of artificial intelligence and digitization in financial crimes -- Chapter 7: Data organization and governance in financial crimes -- Chapter 8: Machine learning approach to customer due diligence and watchlist monitoring -- Chapter 9: Applying machine learning for transaction monitoring to optimize false positives -- Chapter 10: application of network analysis to further improve detection of financial crimes -- Chapter 11: AML investigation and application of digitization and machine learning for saving investigation time -- Chapter 12: Futuristic enterprise level AI driven Financial Crime Investigation unit (FCU) for a financial institution. |
| Record Nr. | UNINA-9910735791603321 |
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Gupta Abhishek
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence, Learning and Computation in Economics and Finance / / Ragupathy Venkatachalam, editor
| Artificial Intelligence, Learning and Computation in Economics and Finance / / Ragupathy Venkatachalam, editor |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (331 pages) |
| Disciplina | 332.028563 |
| Collana | Understanding Complex Systems Series |
| Soggetto topico |
Artificial intelligence - Financial applications
Economics - Data processing Economia Processament de dades Intel·ligència artificial |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031152948
9783031152931 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Perspectives from the Development of Agent-based Modelling in Economics and Finance -- Towards a General Model of Financial Markets -- The U-Mart Futures Exchange Experiment and Her Institutional Design Historically Inherited -- A Bottom-Up Framework for Data-Driven Agent-Based Simulations -- Can News Networks and Topics Influence Assets Return and Volatility? -- Causal Inference and Agent-Based Models -- Finding the Human in Their Stories: Some Thoughts on Digital Humanities Tools -- Interdependence Overcomes the Limitations of Rational Theories of Collective Behavior: The Productivity of Patents by Nations -- Sand Castles and Financial Systems.-Estimation of Agent-Based Models via Approximate Bayesian Computation -- Unravelling Aspects of Decision Making Under Uncertainty -- Logic and Epistemology in Behavioral Economics -- Aggregate Investor Attention and Bitcoin Return: The Machine Learning Approach -- Information and Market Power: An Experimental Investigation into the Hayek Hypothesis -- Algorithmically Learning, Creatively and Intelligently to Play Games -- A Simonian Formalistic Perspective on Collaborative, Distributed Invention -- Modified Sraffan Schemes and Algorithmic Rational Agents. |
| Record Nr. | UNINA-9910672436903321 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Explainable artificial intelligence based on neuro-fuzzy modeling with applications in finance / / Tom Rutkowski
| Explainable artificial intelligence based on neuro-fuzzy modeling with applications in finance / / Tom Rutkowski |
| Autore | Rutkowski Tom |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (175 pages) |
| Disciplina | 332.028563 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Artificial intelligence - Financial applications
Neural networks (Computer science) - Mathematical models Fuzzy systems - Mathematical models Intel·ligència artificial Sistemes borrosos Models matemàtics Xarxes neuronals (Informàtica) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-75521-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483550103321 |
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Rutkowski Tom
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fintech business models : applied canvas method and analysis of venture capital rounds / / Matthias Fischer
| Fintech business models : applied canvas method and analysis of venture capital rounds / / Matthias Fischer |
| Autore | Fischer Matthias J. |
| Pubbl/distr/stampa | Berlin ; ; Boston : , : De Gruyter, , [2021] |
| Descrizione fisica | 1 online resource (xvi, 294 pages) |
| Disciplina | 332.028563 |
| Soggetto topico | Financial services industry - Information technology |
| ISBN | 3-11-070490-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Reviews of the book -- Preface -- Contents -- 1 Fintech markets and players -- 2 More convenience with alternative payment methods -- 3 Why robo-advisory will replace many human investment advisors -- 4 The need for social trading -- 5 Will crowdfunding replace the bank loan? -- 6 Balance-sheet lending from fintechs providing credit & factoring -- 7 The future of personal finance management -- 8 The impact of blockchain technology -- 9 How serious are cryptocurrencies? -- 10 Big data and AI -- 11 Venture capital financing and fintech valuations -- 12 Conclusion: What we can know and can not know about the future of fintechs -- List of figures -- List of tables -- Abbreviations -- Glossary -- Appendix -- Publication bibliography -- Index -- About the author |
| Record Nr. | UNINA-9910554498203321 |
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Fischer Matthias J.
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| Berlin ; ; Boston : , : De Gruyter, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Impact of artificial intelligence on governance, economics and finance . Volume 1 / / Sezer Bozkuş Kahyaoğlu, editor
| Impact of artificial intelligence on governance, economics and finance . Volume 1 / / Sezer Bozkuş Kahyaoğlu, editor |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (328 pages) |
| Disciplina | 332.028563 |
| Collana | Accounting, finance, sustainability, governance & fraud |
| Soggetto topico |
Artificial intelligence - Financial applications
Artificial intelligence - Industrial applications Finance - Technological innovations Artificial intelligence - Economic aspects |
| ISBN | 981-336-811-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483334503321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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