AI and Innovation in Financial Market Analysis

The Institute of Banking and Finance of the National Economics University, in collaboration with the Korea International Cooperation Agency (KOICA) and the Financial Supervisory Service (FSS) of the Republic of Korea (RoK), opened the international scientific conference titled “AI and Innovation in Financial Market Analysis” (AIFMA) in Ha Noi on December 15. 

An overview of the conference.
An overview of the conference.

According to the organisers, in the context of the Fourth Industrial Revolution, artificial intelligence (AI), big data, blockchain and other digital technologies are profoundly reshaping the structure and operations of the financial and banking system. The AIFMA conference aimed to create an academic and practical forum for scientists, policymakers and experts from Viet Nam and abroad to exchange and share new research findings, trends in AI application, as well as challenges related to risk governance, regulatory frameworks and ethics in digital finance.

In his opening remarks, Professor Dr Nguyen Thanh Hieu, Vice President of the National Economics University, noted that AI and digital innovation are transforming financial markets at an unprecedented pace. From algorithmic trading and automated advisory services to real-time risk management and climate risk analysis, AI is no longer a concept of the future but has become an integral component of the modern financial system.

Professor Dr Nguyen Thanh Hieu delivers the opening address.
Professor Dr Nguyen Thanh Hieu delivers the opening address.

For Viet Nam, the Republic of Korea and other countries, such transformations present significant opportunities to enhance market efficiency and transparency, expand access to financial services, and support sustainable and inclusive growth. At the same time, they pose major challenges related to regulation, ethics, data governance and financial stability.

Professor Dr Nguyen Thanh Hieu also emphasised that the conference serves as a valuable platform for policymakers, academics and practitioners from different countries to exchange ideas, share research outcomes and discuss current trends and emerging issues in banking and finance. The organisers hope the conference will become a long-term collaborative forum between Vietnamese and Korean institutions, while inspiring young researchers and students interested in AI and financial innovation.

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Delegates attend the conference.

Jung Jaewoo, Deputy Country Director of KOICA in Viet Nam, stated that the conference plays a vital bridging role in the outcomes of research projects on strengthening early warning systems and enhancing crisis management capacity in the financial sector, thereby contributing to future financial stability in Viet Nam.

Through the conference, managers, scientists and experts not only share project implementation results but also introduce the latest data in financial research and analysis, as well as practical model applications. This helps to deepen knowledge, create an important foundation for future researchers to enhance their financial data analysis capabilities, and foster sustainable relationships between academic research communities in Viet Nam and the Republic of Korea, thereby building a dynamic and sustainable knowledge ecosystem.

Cho Sung Woo, Chief Representative of the Viet Nam Office of the FSS, said that by bringing together leading researchers from Viet Nam and the Republic of Korea, the conference will share the latest research findings and practical case studies related to AI and new approaches to exploiting financial market data. Policymakers and scholars will also focus on discussing how research can be connected and applied in financial policy and supervision.

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A representative of KOICA speaks at the conference

At the conference, policymakers, scientists and experts in AI and financial markets will focus on analysing, discussing and proposing recommendations on: the application of AI in analysis, forecasting and trading in financial markets; innovation in risk management and financial investment; the impact of big data, blockchain and fintech on market analysis; ethics, legal frameworks and data security in financial AI applications; AI and green finance, including applications in climate risk measurement and sustainable development; empirical studies on the effectiveness of AI in financial markets; new theoretical issues and models in technology-based financial analysis; and other research related to AI, innovation and finance.

NDO
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