FIMA Lab
Finance ∙ Intelligence ∙ Math ∙ Analytics
FIMA Lab is a research initiative founded in 2024 by Prof. Huei-Wen Teng of National Yang Ming Chiao Tung University, Taiwan, as she moved into a new stage of her career. The lab brings together her research in statistics, machine learning, financial engineering, and FinTech, turning data into practical, evidence-based ideas.
Innovate with Us
We’re a hub for international collaboration, academic publishing, and mentoring in AI-powered finance, and we bring hands-on consulting experience to real-world problems. We’d love to team up with industry leaders, startups, and organizations to build solutions grounded in math, statistics, and finance. If that sounds like you, get in touch — let’s collaborate!
Our research spans four pillars, with lab members actively collaborating on ongoing projects across these domains:
1. Explainable AI & FinTech — machine learning for credit scoring and default prediction
2. Trading & Portfolio Management — empirical asset pricing with machine learning
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A Walk-Forward Evaluation Protocol for Machine-Learning Market Timing: Multiple-Testing Deflation of a 120-Strategy S\&P 500 Grid by Yun-Tse Lan, Ping-Wei Feng, Chia-Yu Ou, and Huei-Wen Teng
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Taiwan 0050 ETF Universe by Jenna, Candice, Peggy, Chien, and Huei-Wen Teng
3. Financial Market Risk Management — tail risk and digital asset regulation
4. Financial Derivatives Pricing — Monte Carlo simulation and cryptocurrency options
Interested in Joining? Let’s Make an Impact Together!
- Enrolling in my Machine Learning & FinTech course is a great way to build relevant skills for our research — it’s highly recommended.
- MUST attend weekly lab meeting on Wednesday afternoon.
- If you are from a different department, we encourage you to review the suggested course plan to help build a solid foundation in finance.
- Email me! ✉️ hwteng@nycu.edu.tw