Hanqing Tian
PhD Candidate in Finance · University of Melbourne
My research sits at the intersection of asset pricing and AI. I use machine learning and large language models to turn financial news into interpretable firm characteristics and factors, and to study how efficiently markets price the information it contains.
I also study AI itself in finance: opening up LLMs to see which economic concepts drive their forecasts, and documenting where they fall short.
Asset Pricing
Machine Learning
AI & LLMs
Financial News & Text
Market Efficiency
About
Welcome! I did my bachelor's at the University of Melbourne and began my PhD in Finance here in 2023. Much of my work asks what markets can learn from text: how news shapes prices, which of its signals investors miss, and how far modern AI models can be trusted when we use them as research tools.