Tootfinder

Bayesian Portfolio Optimization by Predictive Synthesis
Masahiro Kato, Kentaro Baba, Hibiki Kaibuchi, Ryo Inokuchi
https://arxiv.org/abs/2510.07180 https://

Bayesian Portfolio Optimization by Predictive Synthesis
Portfolio optimization is a critical task in investment. Most existing portfolio optimization methods require information on the distribution of returns of the assets that make up the portfolio. However, such distribution information is usually unknown to investors. Various methods have been proposed to estimate distribution information, but their accuracy greatly depends on the uncertainty of the financial markets. Due to this uncertainty, a model that could well predict the distribution infor…

High-resolution models of the vertical shear instability
Geoffroy Lesur, Henrik N. Latter, Gordon I. Ogilvie
https://arxiv.org/abs/2508.20839 https://arxiv…

High-resolution models of the vertical shear instability
(abridged) Context: The vertical shear instability (VSI) is a promising mechanism to generate turbulence and transport angular momentum in protoplanetary discs. While most recent work has focused on adding more complex physics, the saturation properties of the instability in radially extended discs and its convergence as a function of resolution are still largely unknown. We tackle the question of VSI saturation and associated turbulence using radially extended fully 3D global disc models at ve…