Judit Sági | Econometrics and Finance | Research Excellence Award

Judit Sági | Econometrics and Finance | Research Excellence Award

Budapest University of Economics and Business | Hungary

Prof. Judit Sági, Ph.D. (Habil.) is an Associate Professor of Finance at the Budapest Business University, Faculty of Finance and Accountancy, where she has been teaching since 1999 and currently serves as Deputy Dean for Research Affairs. She teaches a wide range of finance-related courses—primarily in English—including banking, risk management, monetary policy, SME financing, and wealth and tax planning. Her research focuses on financial awareness, pro-birth policies, family businesses, credit guarantees, banking, and company valuation. She is the author of several academic works, including the book Banktan (Banking), and leads both the Financial Services specialisation and the Financial Management master’s programme in English and Hungarian. Her professional background also includes experience as an auditor and as a risk analyst and project lead manager in the banking sector, with expertise in M&A advisory and project financing.

Citation Metrics (Google Scholar)

20001500

1000

500

0

Citations
1788

h-index
20

i10-index
33

Citations
h-index
i10-index


View Google Scholar Profile
View Orcid Profile

Featured Publications

Meiqun Yin | Econometrics and Finance | Best Researcher Award

Meiqun Yin | Econometrics and Finance | Best Researcher Award

China University of Political Science and Law | China

Professor Meiqun Yin is the Vice Dean, Professor, and Ph.D. Supervisor at the Business School of the China University of Political Science and Law (CUPL), Beijing. She earned her Ph.D. in Accounting from Renmin University of China in 2005 and has over 15 years of distinguished academic and administrative experience. A pioneering scholar at the intersection of accounting, quantitative finance, and artificial intelligence, Professor Yin leads groundbreaking research integrating large language models (LLMs) and chain-of-thought (CoT) prompting into financial forecasting and portfolio optimization. Her flagship study, published in Expert Systems with Applications (2026), demonstrates the superior predictive power of AI-driven models in earnings forecasting and investment strategy design, generating significant alpha with low-risk exposure. As a core researcher in AI-driven financial analysis, she has led multiple national and provincial research projects supported by the National Natural Science Foundation of China and the National Social Science Foundation of China. Professor Yin has published extensively in leading journals and contributed influential works on digital finance, financial statement analysis, and responsible investment. Recognized with honors such as the First Prize for Research Achievement, Outstanding Teaching Award, and the Young and Middle-aged Backbone Teacher Title, she continues to advance the digital transformation of accounting and finance education. She is also a Certified Public Accountant (CPA) and an active member of the Chinese Accounting Association and IMA China Management Accounting Expert Committee.

Profile: Scoups 

Featured Publications

Yin, M., & Guo, M. (2026). Complex forecasting and investment strategy optimization via chain-of-thought of large language models. Expert Systems with Applications, 298, 129913.