Our Company
QAGE—short for Quantum Age—utilizes all traditional micro and macro factors overlaid with the frontier economics field of quantum finance.
Our foundational thesis is that the passive investing acceleration, coincident with the democratization of information flow, has led to the collapse of capital viscosity.
We are convinced that major institutions that evolved under a more viscous capital flow environment are unsuitably structured for these developments. Our frontier economics framework is designed to capitalize on the historic alpha generation opportunity arising from the disintermediation of the banking system.
Leverage cyclically builds up in the system—like an endocardial calcification—at increasingly unprecedented speeds. This fuels the invevitable global liquidity event that gets labeled a black swan.
The coming liquidity event is the antithesis of a black swan. We believe it is in fact perfectly forecastable utilizing our quantum finance framework.
Key Personnel
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David has developed and refined a model of market behavior after more than four decades studying marktets. He leads our firm's effort to incorporate the inputs of global macro risk, derivatives, policy and participant positioning through our unified risk field framework to generate asymmetric alpha opportunities. He sets the firmwide macro view, portfolio construction, and risk limits, integrating credit spreads, curve shape, and mortgage convexity as primary signals for regime shifts. David's framework is model driven, delivering a low value-at-risk portfolio strcture that self-funds long tail risk positions, using long-dated Vega collars and countless risk dampening derivative hedgeing strategies. Previously he held roles at SAC Capital, Bear Stearns, and subidiaries of JPMorgan Chase, Citigroup, and Morgan Stanley.
Andres is an experienced entrepreneur and corporate executive who oversees firmwide operations, data infrastructure, and execution quality. Prior to QAGE, he was Founder & CEO of Fairmount Automation, where he built a technology business from concept to scaled delivery before transitioning to an executive role in machine learning and data science at Comcast NBCUniversal. At the fund, he brings operating rigor to research tooling, model governance, and performance reporting—ensuring our tail-yield program runs with institutional discipline. He partners with the CIO and the technical team to evolve our frontier finance modeling.
Low Beta Tail Yield Strategy
Our flagship LBTY strategy targets market participation with lower-beta core exposures and channels a small explicit budget to long-dated volatility ("tail") optionality.
The strategy is primarily designed to preserve capital, using the yield from steady investments to fund a small, concentrated alpha pool.
The defensive core is allocated to strengthening sovereigns and low volatility equities with rising call skew.
The strategy is expected to outperform the broad market with less variance on lower value-at-risk.