Seongeun Bae | Econometrics | Excellence in Research Award

Published on by Global Academic Awards

Ms. Seongeun Bae | Econometrics | Excellence in Research Award

Yonsei University | South Korea

Ms. Seongeun Bae is an emerging researcher in industrial engineering and computational finance with strong expertise in asset pricing, AI in finance, business analytics, large language models, and real estate. Her work bridges quantitative modeling and interpretable AI, advancing methods for housing price appraisal, policy analysis, and financial risk reasoning. She has contributed to high-impact publications on floor plan complexity, LLM-driven housing price estimation, and green-index-based hedonic datasets. Her ongoing projects explore financial crash signal reliability, survival analysis of healthcare institutions, and network-based box office analytics. She has received multiple awards recognizing her excellence in data science and research innovation.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Bae, S., An, S., Choi, G., & Ahn, K. (2026). Spatial appreciation of the floor plan complexity in housing price appraisal. Chaos, Solitons & Fractals, 203, 117580.

Bae, S., Jung, L., Nam, S., An, S., & Ahn, K. (2025). Housing price estimation and reasoning based on a large language model. In Finance and Large Language Models (Chapter 2). Springer Nature.

An, S., Bae, S., Song, Y., & Ahn, K. (2024). Aggregated hedonic dataset with a green index: Busan, South Korea. Data in Brief, 57, 111009.

Econometrics and Finance

Published on by Global Academic Awards

Introduction of Econometrics and Finance

 

Econometrics and Finance research is the nexus where economic theory, statistical analysis, and financial practice converge. It’s a field dedicated to understanding and modeling the complex dynamics of financial markets, economic behavior, and risk management. Researchers in this domain employ advanced quantitative methods and economic principles to make sense of financial data, predict market trends, and inform investment and policy decisions.

 

Financial Modeling:

Financial modelers construct mathematical representations of financial markets, assets, and economic factors. Their work forms the foundation for risk assessment, asset pricing, and investment strategies.

Risk Analysis:

Risk analysts evaluate the probability and impact of financial losses. This subfield encompasses credit risk assessment, portfolio risk management, and stress testing, providing tools to make informed financial decisions.

Quantitative Finance:

Quantitative finance specialists employ mathematical models and statistical techniques to assess financial derivatives, pricing, and trading strategies. Their research underpins the development of innovative financial instruments.

Time Series Analysis:

Time series analysts focus on financial data collected over time, detecting patterns and trends that aid in forecasting. This subtopic is fundamental for predicting market movements and economic behavior.

Behavioral Finance:

Behavioral finance researchers examine the psychological factors influencing financial decisions. Their work explores biases, heuristics, and the emotional aspects of investing to enhance our understanding of market behavior.

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