4 papers
Scalable Pontryagin-Guided Adjoint-to-Control Recovery for Constrained Dynamic Portfolio Choice
Jaegi Jeon, Jeonggyu Huh, Hyeng Keun Koo +1
We study continuous-time multi-asset portfolio choice and consumption under smooth pointwise constraints, including state-dependent feasible sets. The method separates dynamic info…
MarketGANs: Multivariate financial time-series data augmentation using generative adversarial networks
Jeonggyu Huh, Seungwon Jeong, Hyun-Gyoon Kim +2
This paper introduces MarketGAN, a factor-based generative framework for high-dimensional asset return generation under severe data scarcity. We embed an explicit asset-pricing fac…
Breaking the Dimensional Barrier: A Pontryagin-Guided Direct Policy Optimization for Continuous-Time Multi-Asset Portfolio Choice
Jeonggyu Huh, Jaegi Jeon, Hyeng Keun Koo +1
We introduce the Pontryagin-Guided Direct Policy Optimization (PG-DPO) framework for high-dimensional continuous-time portfolio choice. Our approach combines Pontryagin's Maximum P…
Breaking the Dimensional Barrier for Constrained Dynamic Portfolio Choice
Jeonggyu Huh, Jaegi Jeon, Hyeng Keun Koo +1
We propose a scalable, policy-centric framework for continuous-time multi-asset portfolio-consumption optimization under inequality constraints. Our method integrates neural polici…