Florian Gach, Simon Hochgerner · 2026-09-25
A plain-English AI summary of what this paper means for investors — generated on demand from the abstract.
This article is concerned with the asymptotic shape of quantile surfaces, defined as the set of quantiles at a given level $α$ generated by a controlled one-dimensional distribution. Specifically, when the distribution arises as a linear combination of log-normal random variables and the control is a vector of positive coefficients, we prove that quantile surfaces are globally concave in the left tail ($α\to0$) and globally convex in the right tail ($α\to1$). Moreover, these surfaces exhibit asymptotic separation of scale and shape.
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AI summary generated from the paper’s public abstract via arXiv; it may miss nuance — read the source before relying on it. Thank you to arXiv for its open-access interoperability; StockTools is not affiliated with arXiv, and all rights remain with the authors. Educational only, not financial advice.