Recent Developments in Computational Finance and Business Analytics
Description
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.
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Content
.- 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.
