Heteronomics provides deep, independent, UK-centric research to financial market participants spread across four continents.
Heteronomics is committed to independent thought leadership through deep analysis of the themes set to drive UK asset prices.
With banks cutting back and struggling to adapt to incoming regulations, they are losing specialisms and quality. Heteronomics was founded to avoid that fate. Expertise continues to be passed on via in-depth research that responds to bespoke client needs.
With complete independence, Heteronomics research is free from conflict with any other activities, while being reliably available to clients irrespective of execution patterns. You will know exactly who and what you are paying for, always.
Cutting edge techniques
Research from Heteronomics derives detailed analysis from a framework flexible enough to stretch the technological frontier. Ongoing investment is introducing more alternative data, machine learning techniques and agent-based models.
Alternative data: increased availability, reliability, and exploitability of data online are making it increasingly important for identifying underlying trends and tracking official releases. Raw materials, prices, and microdata are my focus.
Machine learning: there are many tools available to the modern data scientist beyond the standard econometric toolkit. Python programs can readily deploy powerful algorithms, with GPUs and clouds able to take the computational strain.
Agent-based models: the ability to simulate millions of interactions between individual agents is a fundamental advance in the industry. Exploration of realistic dynamics can potentially reveal movement in the tipping points around risk factors.
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