Quantactix Lab develops statistical, operation research, and machine learning methods to conduct empirical and theoretical research, and provide practical solutions in Fintech, quantitative investment, and financial risk management.

We welcome collaborations and consultations with both industry and academic.

Latest News

  • A Relaxing and Inspiring Outing with Prof. Yacine Aït-Sahalia and Prof. Simon Trimborn 2025.6.3

    Following the conclusion of the 4th Hong Kong Conference for Fintech, AI, and Big Data in Business, we had the pleasure of hosting Prof. Yacine Aït-Sahalia and Prof. Simon Trimborn for a day trip to Sai Kung.

    Surrounded by the coastal scenery and tranquil waters, the group enjoyed a relaxing day exploring the natural beauty of Hong Kong's "back garden." The outing was not only a chance to unwind after the intense conference schedule, but also a wonderful opportunity for informal exchange and deeper conversations on research, academia, and life beyond the classroom.

    We are grateful to Professors Aït-Sahalia and Trimborn for spending the day with us and for the insights and warmth they shared throughout their visit — and we hope to welcome them back to Hong Kong again soon.

  • 4th Hong Kong Conference for Fintech, AI, and Big Data in Business Successfully Held at CityU 2025.6.2

    Jointly organized by FinTech and Business Analytics Centre (FBAC), Department of Decision Analytics and Operations, Department of Economics and Finance, and Hong Kong Institute for Data Science, the 4th Hong Kong Conference for Fintech, AI, and Big Data in Business took place on May 31 and June 1, 2025, at City University of Hong Kong.

    This year’s conference brought together nearly 100 participants from top institutions around the world. The program featured two keynote speeches and 12 presentations selected from over 150 submissions, covering a diverse set of cutting-edge topics, ranging from AI-powered finance and text analytics to portfolio optimization and behavioral modeling, among others.

    We were honored to host keynote speakers Professor Yacine Aït-Sahalia and Professor Wei Xiong from Princeton University, whose talks were a major highlight of the event. A poster session was also introduced this year, sparked lively exchanges and broadened the academic conversation beyond the main program.

    We warmly congratulate Barry Ke (Yale University) for winning the Best Paper Award for his work “Analysts' Belief Formation in Their Own Words,” and Shuhua Xiao (City University of Hong Kong) for receiving the Best Poster Award for her co-authored paper “Factors or Fake? A New Look at Anomalies and the Replication Crisis,” in recognition of their insightful contribution.

    We thank all speakers, discussants, and participants for making this year's conference a vibrant and rewarding experience. We look forward to continuing this academic tradition in the years to come.

Research Expertise with Publication Track Records

Quantitative Investment, Portfolio Optimization, and Risk Management

  • Asset pricing factors and characteristics in equities and corporate bonds.
  • Macroeconomics-driven research in treasury bonds and currencies.
  • Robust optimization developments in financial risk management.

Business Analytics and Fintech

  • Empirical research and consultation in business analytics.
  • Economic-guided AI developments in Fintech research.

General Methodologies in Statistics, Optimization, and Machine Learning