5 min read
Share:
A Walk-Forward Evaluation of a Gaussian HMM. Model M2 fits a three-state Gaussian hidden Markov model to identify Risk-On, Neutral, and Risk-Off regimes.
Statistical proof : Out-of-Sample

The figures below are out-of-sample (OOS), measured on data the model never saw. We also publish what does not work.

−15.4 pts
Max drawdown reduction on STOXX (35.5% → 20.1%)
0.62
STOXX Sharpe
vs 0.49 buy & hold
20.1%
STOXX max drawdown
vs 35.5%
0.72
S&P 500 Sharpe
vs 0.74 — no edge
3
Regime states
Risk-On / Neutral / Risk-Off
Validation protocol Walk-forward · Gaussian HMM refit at each date · defensive overlay validated on non-US equities, honest about the absence of S&P 500 edge.
Access on request

Paper reserved : research desk

This research paper is not for public sale. Full access (methodology, code and results) is granted on request, subject to conditions, by our research desk.

Contact the research desk
Évaluation de la publication

Cette analyse a-t-elle été utile à votre allocation ?

Attribuez une note de 1 à 5 étoiles (réservé aux membres Horacle Capital).

Note moyenne : 4.9/5 (membres vérifiés)
Léo Lombardini

Léo Lombardini

Trader, Economics & Quant

Passionate about market analysis and statistical modeling, Léo oversees the strategic allocation of the model portfolio and the development of Horacle Capital's quantitative frameworks, as well as writing weekly articles.

Learn more about the author →

Weekly

Get the Monday macro note

One report a week: central banks, currencies and commodities, with the current biases of our models.

One email a week. Unsubscribe in one click.