The Application of Financial Technology in the Intelligent Management of Credit Risk Under the Background of Big Data

Big data applications in portfolio management: A review of techniques and strategies

“…Big data analytics in finance relies heavily on advanced computational techniques, including machine learning algorithms, data mining, and predictive analytics, to extract valuable insights from large datasets. Xie (2023) discusses the application of big data analysis in the credit business of commercial banks, emphasizing how these technologies can enhance target marketing, develop customized services, and improve risk management practices. By leveraging big data, banks can gain a deeper understanding of their customers, enabling more informed decision-making and fostering a more personalized banking experience.…”

“…Big data also plays a pivotal role in risk management, allowing portfolio managers to identify and mitigate potential risks more effectively. Xie (2023) explores the applications of big data analysis in the credit business of commercial banks, noting how big data techniques can facilitate early identification of risks and enhance risk control measures. By applying similar principles to portfolio management, managers can better understand the risk profiles of their investments and adjust their strategies accordingly to protect against market volatility.…”