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Research
Current work focuses on the mathematics of portfolio dynamics and wealth taxation — how wealth taxes interact with investment decisions, and how spectral methods from random matrix theory illuminate the structure of portfolios and wealth distributions.
Wealth Tax Neutrality Framework
A mathematical framework for wealth taxation, from distortion to distribution. Eleven working papers establish the neutrality result, map the channels that break it, model tax migration as social contagion — and take up the design half: what redistributes, at what cost, and why the proposed swap to profit taxes fails at the Norwegian top.
Spectral Portfolio Theory
Neural network weight matrices are portfolio allocation matrices. Their spectral structure encodes factor decompositions, wealth concentration, and the conditions for tax neutrality — generalising the wealth tax framework to arbitrary perturbations.
Recent Posts
Gravity, Confinement, and the Swap That Doesn’t Exist
Five new papers take up the other half of the wealth-tax question: not what the tax distorts, but what it does to the distribution. A proportional tax redistributes nothing; progressivity buys speed at the price of neutrality; and the popular proposal to swap the wealth tax for dividend taxes fails at the Norwegian top — not expensive, unavailable.
July 2026
The Stock Market Is Not Normal, and It Shows Traces of History
Take the classic random-walk test apart direction by direction, and the coin-flip picture of markets fails by a factor of fifty — not in returns, but in turbulence. The market’s volatility carries a memory running years, and somewhere in the late 1980s it began remembering differently.
July 2026
The Blind Men and the Wealth Tax
Norway’s tax commission proposed something close to a neutral wealth tax — and the public reaction split exactly along the lines the theory predicts. Five experts each grasp one part of the elephant, while a persistent myth about pricing describes a part that isn’t there.
June 2026