YAO-HENG CHUANG / PROFILE & RESEARCH
About
Learn about Yao-Heng Chuang’s background, research philosophy and roles as Co-Founder & Chief Investment Research Officer and Asia-Pacific Chairman.
From observing markets
to a systematic approach.
Research helps us understand markets.
It also reveals the limits of our judgment.
Born in Taiwan in 1971, Yao-Heng Chuang has a longstanding focus on capital markets and financial technology research. He is a co-founder of Kerui Capital Ltd.
Beginning with equity and industry analysis, his work expanded into international futures, foreign exchange, global macro, algorithmic models and financial data technology. Research evidence, historical validation and risk management remain closely connected.
His current focus is AI high-frequency trading research: market microstructure, execution and real-time risk monitoring over shorter time horizons, alongside the application of data and modeling capabilities to business settings.
First steps in capital markets
Co-founded Kerui Capital Ltd.
Trading & data research
U.S. & Taiwan perspectives
Experience asks questions.
Evidence tests assumptions.
From equity analysis to high-frequency trading, one principle endures: every judgment should have a clear research foundation.
Traceable
Record data sources, research conditions and processing methods.
Testable
Retain evidence that challenges an assumption as well as evidence that supports it.
Contextual
Understand the environments in which a method applies—and where it may fail.
Evolving
Reassess conclusions as new data and risk observations become available.
Start with evidence.
Keep testing and refining.
From company and industry analysis to historical validation, algorithmic models and AI high-frequency trading, the questions have developed while the emphasis on research evidence has remained. Market experience helps frame questions; data allows those questions to be compared and tested.
A model can help explain markets and identify its own limitations. When new information conflicts with an existing conclusion, assumptions need to be reconsidered rather than retaining only supportive evidence. Validation and revision are central to this long-term approach.
Current research connects market changes, execution and risk assessment. The goal is a process that continues to absorb information, test assumptions and adapt, so that professional judgement retains a clear basis.