most citedSchur Complementary Allocation: A Unification of Hierarchical Risk Parity and Minimum Variance Portfolios

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

stat.ME2026

Scalable Inversion of Contests with Correlated Performances, Including Softmax and Multinomial Probit

Peter Cotton

Multinomial probit choice probabilities over n alternatives are Gaussian orthant integrals, computed by simulation for thirty years, one expensive integral per alternative. Inversi…

q-fin.ST2026

Marginally Useful: An Information-Gap Identity in Conformal Prediction

Peter Cotton

Conformal prediction has been touted as a more formal, rigorous approach to adding uncertainty to a forecast. The sole objective of this note is to point out that rigor cuts both w…

q-fin.TR2026

On a Simple Relationship Between Order Imbalance, Skew and Width in Over-The-Counter Trading

Peter Cotton

We consider a market maker who can only obtain and dispose of inventory by responding to a sequence of sealed-bid enquiries, and whose customers arrive with imbalanced intent: sell…

q-fin.RM2026

Two Sides of Schur Damping: High-Dimensional Pseudo-Likelihoods and Portfolio Allocation

Peter Cotton

Two communities that rarely cite each other -- spatial statisticians fitting high-dimensional weather fields, and quantitative investors building portfolios -- have independently a…

q-fin.PM20241 cited

Schur Complementary Allocation: A Unification of Hierarchical Risk Parity and Minimum Variance Portfolios

Peter Cotton

Despite many attempts to make optimization-based portfolio construction in the spirit of Markowitz robust and approachable, it is far from universally adopted. Meanwhile, the colle…