The Application of Blockchain and AI in Financial Security: Improving Market Assessment and Risk Management of CAPM
Year: 2025
Type: article
Abstract: With the rapid development of blockchain and artificial intelligence (AI), their integration in financial security has gained increasing attention. This paper explores how these technologies can enhance the capital asset pricing model (CAPM) in market assessment and risk management. Blockchain ensures transparent and tamper-proof financial transactions, while AI leverages big data and machine learning to identify risks and uncover investment opportunities. Through vase studies, this paper explores the integration path of blockchain and AI within CAPM. The results show that this combination not only optimizes CAPM’s risk assessment process but also improves its adaptability and predictive accuracy in complex markets. This integrated method helps financial institutions to assess risks more scientifically and make forward-looking decisions. Overall, the synergy between blockchain and AI provides a new path for financial security, enhancing system transparency, responsiveness, and institutional competitiveness. This fusion technology opens up a new situation for the innovative application of CAPM and provides theoretical support and practical reference for building a more intelligent, efficient and secure financial system.
Author: Ruini Weng
Institution: Wenzhou-Kean University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411494551