2018: alt data, machine learning and ABMs
- Research from Heteronomics derives detailed analysis from a framework flexible enough to stretch the technological frontier. Investment in 2018 will introduce more alternative data, machine learning techniques and mixed-agent systems.- 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.
- Mixed-agent systems: 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.
Heteronomics provides UK-centric macro research. A hallmark attention to detail delivers a depth of analysis beyond what the sell side now delivers. Clients can also experience events that privately provide insights on these topics. Have a bespoke request for research or an event? Let us know. Clients can expect assistance with their own requirements to the extent it doesn't impinge upon other clients. Think of it as retaining an expert economist, without the large overhead.
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