https://mail.insyma.org/proceedings/files/original/articles/11. Vietnam_H Nguy Phuc.pdf Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Proceedings of the International Symposium on Management (INSYMA) (Vol 22, 2025) Proceedings meta_title Early Warning of Liquidity Risk in Commercial Banks In Vietnam: Application of Artificial Intelligence Models Author #1 H? Nguy?n Phúc ??c Author #2 Tr??ng Th? Vân Khánh Author #3 ?? Huy?n Linh Abstract/Description In the context of globalization and the rapid evolution of financial markets, liquidity risk remains one of the major challenges for commercial banks. To address this issue, Artificial Intelligence (AI) and Machine Learning (ML) have been increasingly applied in the banking sector thanks to the capability of analyzing large-scale data, processing non-linear variables, and effectively identifying hidden patterns. Our research contributes to the domain of banking and finance by developing AI models in an early warning system for liquidity risk prediction in commercial banks in Vietnam. By identifying key factors of liquidity crises, these models enable banks and financial regulatory authorities to implement timely preventive measures and risk management strategies. Ultimately, this initiative aims to enhance the safety and stability of the banking and finance system. keywords a;b;c;d banking crisis, early forecasting models, liquidity risk, machine learing. publication_date 2025/06/20 2025/06/20 pdf_url https://insyma.org/proceedings/files/articles/11. Vietnam_H Nguy Phuc.pdf abstract_html_url https://insyma.org/proceedings/items/show/ https://insyma.org/proceedings/items/show/489 firstpage 1100 lastpage 1103 issn 3047-857X 3047-857X conference Proceedings of the International Symposium on Management (INSYMA) Proceedings of the International Symposium on Management (Volume 21, 2024) publisher_name Fakultas Bisnis dan Ekonomika, Universitas Surabaya Fakultas Bisnis dan Ekonomika, Universitas Surabaya no article 177 Volume 22 authors H? Nguy?n Phúc ??c, Tr??ng Th? Vân Khánh, ?? Huy?n Linh Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Early Warning of Liquidity Risk in Commercial Banks In Vietnam: Application of Artificial Intelligence Models Creator An entity primarily responsible for making the resource H? Nguy?n Phúc ??c