5 papers
Diffolio: A Diffusion Model for Multivariate Probabilistic Financial Time-Series Forecasting and Portfolio Construction
So-Yoon Cho, Jin-Young Kim, Kayoung Ban +2
Probabilistic forecasting is crucial in multivariate financial time-series for constructing efficient portfolios that account for complex cross-sectional dependencies. In this pape…
Breaking the Dimensional Barrier: Dynamic Portfolio Choice with Parameter Uncertainty via Pontryagin Projection
Jeonggyu Huh, Hyeng Keun Koo
We study continuous-time CRRA portfolio choice in diffusion markets with estimated and hence uncertain coefficients. Nature draws a latent parameter at time and keep…
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 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…
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…