Quantitative Research
Independent research exploring non-ergodic compounding, convex portfolio construction, and the endogenous dynamics that drive market stress.
Our Philosophy
Modern portfolio theory treats investors as casinos — optimising across many parallel outcomes. But you live a single financial life, experiencing one sequence of returns. Our research starts from this reality: optimising for geometric compounding and long-term survival, not arithmetic averages.
Portfolio Research
Portfolio construction built on geometric compounding, not arithmetic averages. We research how volatility drag destroys wealth multiplicatively, why survival dominates return maximisation, and how convex payoff structures — using derivatives as a complexity moat — position for the tails where wealth is actually made and destroyed.
Economic Research
The global financial system is mid-upgrade — from industrial-era architecture to information-age infrastructure. We study the macro forces driving this transition: carry trade mechanics, monetary policy regime shifts, currency dynamics, and why traditional valuation models break down in network economies where uncertainty is irreducible.
Technology Research
We build and document the backtesting and validation infrastructure behind our research — options pricing with SABR-inspired volatility surfaces, multi-layer statistical validation (randomised entries, survival analysis, macro factor ablation), and the methodology for distinguishing genuine edge from noise. Published in enough detail to reproduce.
Research
Understanding the four types of market edges and a framework for smaller firms to design winnable games against larger, established players.
A framework for wealth creation through asymmetric positioning that prioritizes survival, geometric compounding, and convex portfolio design.
Why traditional valuation models fail in a network economy, and how simple heuristics outperform complex optimization under deep uncertainty.
Founder & Background
Altus Labs was founded by Gunjeet Singh Mahal, a technology business developer with a 10-year track record serving at major technology firms across P&L management, software engineering, and business value advisory roles.
While the vast majority of investment material focuses on wealth preservation via diversification and low risk, we rarely find rigorous material discussing how to create wealth through the financial markets in the first place. Altus Labs was created to address this gap with systematic, transparent research.
In an increasingly volatile market with an oversupply of money distorting fundamental valuations, volatility as an asset class presents an interesting area for research. Not coming from the traditional finance world, Gunjeet brings a more accessible lens on capital markets delivered via systematic thinking. The aim is to share these insights and learnings with all interested.
None of this is financial advice or solicitation for capital—it is purely research and educational content.
Contact
Interested in our research or potential collaboration? We welcome enquiries from academics, researchers, and fellow practitioners. Please note that we do not provide investment services or advice.
Location
London, United Kingdom
