Exact Finite-Horizon Quantile Kelly for Repeated Multi-Outcome Events
Christopher D. Long

TL;DR
This paper develops an exact finite-horizon quantile theorem for Kelly wagering on repeated multi-outcome events, revealing a piecewise structure and recursive algorithms for optimal wealth strategies.
Contribution
It introduces a novel exact finite-horizon quantile framework, decomposing the problem into shadow Kelly subproblems and providing recursive boundary algorithms.
Findings
Finite-horizon quantile of wealth is piecewise monomial in wealth coordinates.
Decomposition into finitely many shadow-Kelly subproblems.
Asymptotic convergence of quantile maximizers to Kelly wealth profile.
Abstract
We formulate and prove an exact finite-horizon quantile theorem for repeated identical multi-outcome Kelly wagering in wealth-profile / Arrow--Debreu coordinates. For a fixed -outcome event repeated independently over a horizon , the terminal wealth induced by a one-period wealth profile is a monomial in the multinomial count vector . We show that every fixed upper quantile of terminal wealth is a positively homogeneous piecewise-monomial function on the closed Arrow--Debreu wealth simplex, equivalently piecewise linear in log-wealth coordinates on the positive interior. The pieces are indexed by the chambers of the multinomial count arrangement, and on each chamber the quantile objective is exactly a one-period Kelly objective for a count-based \emph{shadow law} . Consequently the finite-horizon quantile problem decomposes into finitely many shadow-Kelly…
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