Behavioral Finance Lab

행동재무학 연구실

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Anyone interested in Finance are welcome. Research interest includes studies on individuals' investment behaviors, corporate events in behavioral perspective, asset pricing models, and sentiment (textual) analysis using machine learning. Behavioral Finance is a field which examines how an individuals' behavioral biases influence corporate performance or investor's decision making process. For example, people have a tendency to sell stocks if prices increase (in other words, have gains), whereas hold on to stocks longer if prices decrease (in other words, have losses). This phenomenon is called the disposition effect and we use this to explain the current financial or economic market movements. In addition, using machine learning and sentiment analysis, we are currently analyzing changes in financial and economic markets in response to monetary policies.

Major research field

Behavioral Asset Pricing, Investment, Corporate events with behavioral perspective

Desired field of research

Examine financial and economic market by applying machine learning, Extension to impact of climate change

Research Keywords and Topics

Behavioral Asset Pricing / Investment / Corporate Finance / Financial Economics / Behavioral Bias / Sentiment (Textual) Analysis / Machine Learning

Research Publications
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Emerging Markets Review, “Greenhouse Gas Emissions, Firm Value, and the Investor Base: Evidence from Korea”, Hope H. Han, Jiyoon Lee, Boxian Wang (2023)
“Can the Disposition Effect Explain the Market Reaction to SEO Announcements?” with Don Autore
“Reviving the Disposition Effect: Highest Price as the Reference Point” with Danling Jiang
“Machine Learning Approach to FOMC Sentiment Analysis” with Saiah Lee
“Labor Investment Efficiency and Terrorism” with Jonghan Park
“Foreign Institutional Investors and ESG performance” with Jiyoon Lee and Jewon Shin
“AI Reliance and Overconfidence Bias” with Lu Zhang

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