学术报告新

Junjie Xia is an Associate Professor at the School of Economics, Central University of Finance and Economics, where he also serves as the Director of the Center for New Structural Economics. He currently holds the position of Adjunct Professor at the Institute of New Structural Economics at Peking University. His research lies in the fields of macroeconomics, finance, and development, with a particular focus on the role of government in shaping market dynamics and fostering economic growth. His work has been published in academic journals, including The Economic Journal, Economic Theory, Journal of Banking and Finance, Journal of Financial and Quantitative Analysis, and Journal of International Money and Finance, among others. He received his Ph.D. in Economics from the University of Southern California in 2017 and served as an Assistant Professor at Peking University from 2017 to 2021.He is currently the principal investigator of a research project funded by the National Natural Science Foundation of China and has participated in several projects supported by both the National Natural Science Foundation of China and the U.S. National Science Foundation.

This study examines the impact of artificial intelligence (AI) and big data on the banking sector, leveraging a comprehensive dataset of over 4.5 million loans issued by a major commercial bank in China between 2015 and 2023. Using a policy mandate to adopt AI and big data as an exogenous shock, our analysis reveals that the integration of these technologies significantly enhances credit rating accuracy and reduces loan default rates, particularly benefiting small and medium-sized enterprises. Specifically, the rate of unclassified credit ratings decreases by 2.4 percentage points (a 40.1% reduction), and loan default rates decline by 2.7 percentage points (a 29.6% reduction). By analyzing the timeline of the bank's adoption of different technologies, we find that integrating big data with AI models and recognition technologies has a more profound impact than traditional FinTech models. Our findings highlight the informational advantages of AI and big data and their role in enhancing operational efficiency, improving risk management capabilities, and promoting financial inclusion for small businesses in financial institutions.