Research
Dated, citable technical research from the RiskState engine. This section is distinct from the marketing blog: Research is for the quant and academic audience — papers, validation reports, and technical notes written with the rigour those readers expect.
Cadence
- One paper every six months — full-length validation report covering a scoring version, an out-of-sample window, or a specific structural question. Written in academic format: abstract, methodology, data, results, limitations, citation.
- One technical post per month — shorter, focused notes on single findings or methodological decisions.
Relationship to the rest of the docs
| Page | Scope |
|---|---|
| Methodology | Static — how the engine is built. |
| Backtest | Static — the framework used to validate it. |
| Research (this page) | Dated — what that framework has produced on real data, over time. |
Findings published here reference the Backtest framework and Methodology page for context; they do not duplicate them.
Editorial discipline
- Findings are reported with confidence intervals, effective sample size, block sensitivity and exclusion counts. Single point estimates without error bounds are not published.
- Pre-specified contrasts are stated before running the test. Post-hoc quintile mining is noted explicitly when it occurs.
- Scoring-version and out-of-sample gates are respected: findings from an in-sample window are labelled as such and not extrapolated.
- Methodology open, calibration closed. Enough detail is published that a reviewer can replicate the analysis against their own snapshot dataset; scoring weights, thresholds and coefficients are not.
- Every paper ships with a BibTeX-ready citation block at the end.
Publications
No papers or technical posts have been published yet. The first validation report is scheduled once the current out-of-sample window closes.
Subscribe or follow @riskstate_ai to be notified when the first post lands.