The Nonstationarity-Complexity Tradeoff in Return Prediction

By Agostino Capponi, Chengpiao Huang, J. Antonio Sidaoui, Kaizheng Wang, Jiacheng Zou

Published 2026-08-17

Everscope rating
1822.3
Relevance to quantitative trading
9 / 10
Implementation complexity
7 / 10
Reproducibility
5 / 5

About this paper

Methodology: ATOMS (Adaptive Tournament Model Selection). Problem types: Time Series Forecasting, Regression, Portfolio Optimization, Model Selection, Online Learning.

arXiv:2512.23596 · Code · Paper rankings

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