This book constitutes the proceedings of the 5th International Conference on Financial Technology, ICFT 2024, held in Singapore during September 2325, 2024.

The 17 full papers presented in this volume were carefully reviewed and selected from 35 submissions. These papers focus on the current research in Blockchain technology, Financial technology and the application of Artificial Intelligence in these areas.

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Inhalt

.- Fintech: Artificial Intelligence and Machine Learning Leverage.
.- Improved Machine Learning Algorithms for Fraud Detection in Fintech Companies.
.- A Cognitive Analysis of CEO Speeches and Their Effects on Stock Markets.
.- Does E-Money Mediate the Effect of Fundamental Factors on the Stock Price Index.
.- Multi-Attribute Decision Making (MADM) Model Based on Bayesian Neural Network Classification with Comparative Scoring Quantification Method Can Solve Intangible Value Valuation Issues in Benefit-Cost Analysis (BCA).
.- Exploring Vulnerabilities in Near Field Communication (NFC) Devices: A Comprehensive Investigation.
.- A Novel Electronic Payment System based on Zero-Knowledge Proof and Blockchain.
.- A Comprehensive AI and Blockchain Framework for Detecting and Preventing Money Laundering in Bangladesh Financial Systems.
.- Detecting Persuasion in Financial Short Texts: A Computational Approach.
.- The Impact of Colored Noise on the CIR Model.
.- A Secure NFC Cardless Cash Withdrawal System.
.- FinTech Digital Transformation: Generative AI, Humanoid Robots, Metaverse, Human-AI Collaboration, and Industry 5.0.
.- Artificial Intelligence (AI) and Virtual Reality Convergence in Financial Services: The Power of Digital Twin Robo-Advisers.
.- CITRONN: A Convolutional Neural Network for Crypto Image-based Trading.
.- Can the Government's Distribution of Consumption Vouchers Stimulate Adoption of Digital Payment Channels? Insights from a Social Learning Perspective.
.- Do Investor Protection Measures Matter for Equity Crowdfunding Portals.
.- Financial Time Series Simulation with Transformer-based Generative Models under Continuous Conditions.