Research overview
Three papers move from pairwise covariance bounds, to spatial interaction fields, to portfolio-level risk certificates.
Read the papersMedia & partnerships
Bring the work into the room.
A concise guide to the research, the people behind it, and the collaborations we are ready to explore.
Pricing Perspective develops methods for turning rich firm information into interpretable measures of dependence, interaction, and portfolio risk.
The work sits between mathematical finance, machine learning, and applied risk analysis. We are interested in conversations that make those connections useful in practice while keeping the underlying claims precise.
For media and events
The short version.
Use these materials to orient a reader, producer, host, or editor to the programme.
Visual companion
A narrated animation of the programme introduces the geometric objects and follows their path into financial restrictions.
Watch the videoResearcher profiles
Marcus Gawronsky and Chun-Sung Huang are available for conversations about the mathematics, evidence, and applications.
Meet the researchersFor partners
Build a useful next step.
We welcome carefully scoped work with research organisations, AI and model companies, data platforms, and risk or advisory teams.
Research collaboration
Develop theory, empirical studies, or open research infrastructure around richer representations of firms and markets.
Evaluation and benchmarking
Test whether language-model representations add useful structure to financial dependence, interaction, or risk analysis.
Talks and technical writing
Make the ideas legible to technical, investment, policy, and product audiences through talks or editorial collaborations.
A good first conversation can be technical or exploratory. Tell us what decision, dataset, audience, or research question you have in mind.
Propose a collaboration