Monotone 2D Integration Scheme for Mean–CVaR Optimization via Fourier-Trained Transition Kernels

By Duy-Minh Dang, Hao Zhou

Published 2026-03-27

Everscope rating
1984.9
Relevance to quantitative trading
8 / 10
Implementation complexity
8 / 10
Reproducibility
4 / 5

About this paper

Methodology: Fourier-trained Gaussian-mixture transition kernel with composite quadrature and FFT. Problem types: Portfolio Optimization, Risk Management, Optimization, Density Estimation, Stochastic Control.

arXiv:2603.26291 · Paper rankings

Open the interactive Everscope explorer for full analysis, charts, and paper battles.