ECONOMICS · FINANCE · DATA & AI
Hi, I am Shunshun Zhang. I am a researcher working at the intersection of artificial intelligence, economics, and finance. My research interests include economic narratives, macro-finance, and financial stability.
I specialise in computational methods, including LLMs, deep learning, and NLP, to study how information, beliefs, and expectations shape financial markets and the macroeconomy. I received my Ph.D. from King’s College London.
RESEARCH
Selected publications, working papers and research in progress.
Measuring trust in central banking and examining its effects on the macroeconomy.
How pandemic-related news and policy announcements affect price discovery before and during the trading day.
Examining the role of media coverage in the transmission of FOMC announcements.
How climate-policy news is reflected in short- and long-horizon equity claims.
Investigating the pricing of AI’s physical and energy constraints in the context of U.S. AI-energy policy.
An empirical study of learning and information in a social trading environment.
TEACHING
King’s College London · 2019–2026
Undergraduate and postgraduate teaching in econometrics, finance, FinTech and data analytics.
TEXTBOOK PROJECT
Designed for undergraduate and postgraduate students, with Python-based case studies, economic and financial datasets, and applied projects linking econometrics, NLP and financial analytics.
CONTACT
For questions about my research, papers or potential collaboration, feel free to email me.
shunshun.zhang@kcl.ac.uk