Recent Advancements in Computational Finance and Business Analytics captures the transformation reshaping finance, business, and decision-making. Structured around Financial Analytics, Business Analytics, and HR & Marketing Analytics, this volume presents cutting-edge research and real-world applications. Topics include machine learning in financial forecasting, AI-driven customer segmentation, and blockchain-enabled supply chains. Blending rigorous methods with actionable insights, it offers value to researchers, analysts, students, and policymakers. As industries embrace data-driven innovation, this book serves as both a reference and a roadmap for navigating the digital economy through strategic and intelligent analytics.

Presents recent Intelligent methods on Computational Finance and Business Analytics Proceedings of the 3rd International Conference on Computational Finance and Business Analytics Written by experts in the field

Inhalt

.- Analysis of Factors Affecting Goodwill Impairment and Research on Models Assisted by Computer Vision.- The Impact of Financial Technology Innovation on New Quality Productive Forces.- Empirical Study on Digital Finance Empowering the High Quality Development of Urban Ecological Economy in China.- Design of a Financial Risk Identification and Early Warning Model Based on Machine Learning, etc.