Estimating Covariance for Global Minimum Variance Portfolio: A Decision-Focused Learning Approach
Fuente:
arXiv
Saved in:
| Main Authors: | Kim, Juchan, Tae, Inwoo, Lee, Yongjae |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Return Prediction for Mean-Variance Portfolio Selection: How Decision-Focused Learning Shapes Forecasting Models
by: Lee, Junhyeong, et al.
Published: (2024)
by: Lee, Junhyeong, et al.
Published: (2024)
LLM-Enhanced Black-Litterman Portfolio Optimization
by: Lee, Youngbin, et al.
Published: (2025)
by: Lee, Youngbin, et al.
Published: (2025)
Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization
by: Hwang, Yoontae, et al.
Published: (2025)
by: Hwang, Yoontae, et al.
Published: (2025)
Regime-Adaptive Continual Learning for Portfolio Management
by: Pan, Chaofan, et al.
Published: (2026)
by: Pan, Chaofan, et al.
Published: (2026)
Advancing Portfolio Optimization: Adaptive Minimum-Variance Portfolios and Minimum Risk Rate Frameworks
by: Jha, Ayush, et al.
Published: (2025)
by: Jha, Ayush, et al.
Published: (2025)
Beyond ESG Scores: Learning Dynamic Constraints for Sequential Portfolio Optimization
by: Li, Xin, et al.
Published: (2026)
by: Li, Xin, et al.
Published: (2026)
Decision by Supervised Learning with Deep Ensembles: A Practical Framework for Robust Portfolio Optimization
by: Kim, Juhyeong, et al.
Published: (2025)
by: Kim, Juhyeong, et al.
Published: (2025)
Improving Portfolio Optimization Results with Bandit Networks
by: Fonseca, Gustavo de Freitas, et al.
Published: (2024)
by: Fonseca, Gustavo de Freitas, et al.
Published: (2024)
HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization
by: Coriat, Benjamin, et al.
Published: (2025)
by: Coriat, Benjamin, et al.
Published: (2025)
Shocks-adaptive Robust Minimum Variance Portfolio for a Large Universe of Assets
by: Fan, Qingliang, et al.
Published: (2024)
by: Fan, Qingliang, et al.
Published: (2024)
RegimeFolio: A Regime Aware ML System for Sectoral Portfolio Optimization in Dynamic Markets
by: Zhang, Yiyao, et al.
Published: (2025)
by: Zhang, Yiyao, et al.
Published: (2025)
PortBench: A Correlation-Aware, Full-Pipeline Benchmark for LLM-Driven Portfolio Management
by: Zhao, Yuxuan, et al.
Published: (2026)
by: Zhao, Yuxuan, et al.
Published: (2026)
Deep Reinforcement Learning for Investor-Specific Portfolio Optimization: A Volatility-Guided Asset Selection Approach
by: Orra, Arishi, et al.
Published: (2025)
by: Orra, Arishi, et al.
Published: (2025)
Your AI, Not Your View: The Bias of LLMs in Investment Analysis
by: Lee, Hoyoung, et al.
Published: (2025)
by: Lee, Hoyoung, et al.
Published: (2025)
Dynamic Factor Model-Based Multiperiod Mean-Variance Portfolio Selection with Portfolio Constraints
by: Gao, Jianjun, et al.
Published: (2025)
by: Gao, Jianjun, et al.
Published: (2025)
Testing for the Minimum Mean-Variance Spanning Set
by: Liao, Zhipeng, et al.
Published: (2025)
by: Liao, Zhipeng, et al.
Published: (2025)
Shrinkage Estimators for Mean and Covariance: Evidence on Portfolio Efficiency Across Market Dimensions
by: Yadav, Rupendra, et al.
Published: (2026)
by: Yadav, Rupendra, et al.
Published: (2026)
MILLION: A General Multi-Objective Framework with Controllable Risk for Portfolio Management
by: Deng, Liwei, et al.
Published: (2024)
by: Deng, Liwei, et al.
Published: (2024)
Joint Return and Risk Modeling with Deep Neural Networks for Portfolio Construction
by: Park, Keonvin
Published: (2026)
by: Park, Keonvin
Published: (2026)
Beyond De Prado and Cotton: Hierarchical and Iterative Methods for General Mean-Variance Portfolios
by: Wuebben, Bernd Johannes
Published: (2026)
by: Wuebben, Bernd Johannes
Published: (2026)
THEME: Enhancing Thematic Investing with Semantic Stock Representations and Temporal Dynamics
by: Lee, Hoyoung, et al.
Published: (2025)
by: Lee, Hoyoung, et al.
Published: (2025)
A Scalable Gradient-Based Optimization Framework for Sparse Minimum-Variance Portfolio Selection
by: Moka, Sarat, et al.
Published: (2025)
by: Moka, Sarat, et al.
Published: (2025)
Forecasting Tangency Portfolios and Investing in the Minimum Euclidean Distance Portfolio to Maximize Out-of-Sample Sharpe Ratios
by: Alexander, Nolan, et al.
Published: (2026)
by: Alexander, Nolan, et al.
Published: (2026)
Accelerated Portfolio Optimization and Option Pricing with Reinforcement Learning
by: Keramati, Hadi, et al.
Published: (2025)
by: Keramati, Hadi, et al.
Published: (2025)
Can Blindfolded LLMs Still Trade? An Anonymization-First Framework for Portfolio Optimization
by: Jeon, Joohyoung, et al.
Published: (2026)
by: Jeon, Joohyoung, et al.
Published: (2026)
Learning to Manage Investment Portfolios beyond Simple Utility Functions
by: Scholl, Maarten P., et al.
Published: (2025)
by: Scholl, Maarten P., et al.
Published: (2025)
DeepAries: Adaptive Rebalancing Interval Selection for Enhanced Portfolio Selection
by: Kim, Jinkyu, et al.
Published: (2025)
by: Kim, Jinkyu, et al.
Published: (2025)
A Global Optimal Theory of Portfolio beyond R-$σ$ Model
by: Liu, Yifan, et al.
Published: (2026)
by: Liu, Yifan, et al.
Published: (2026)
Hierarchical AI Multi-Agent Fundamental Investing: Evidence from China's A-Share Market
by: He, Chujun, et al.
Published: (2025)
by: He, Chujun, et al.
Published: (2025)
Investment Portfolio Optimization Based on Modern Portfolio Theory and Deep Learning Models
by: Wysocki, Maciej, et al.
Published: (2025)
by: Wysocki, Maciej, et al.
Published: (2025)
Hierarchical Minimum Variance Portfolios: A Theoretical and Algorithmic Approach
by: Mograby, Gamal
Published: (2025)
by: Mograby, Gamal
Published: (2025)
Understanding the Long-Only Minimum Variance Portfolio
by: Gunther, Nick L., et al.
Published: (2026)
by: Gunther, Nick L., et al.
Published: (2026)
Market-Adaptive Ratio for Portfolio Management
by: Lee, Ju-Hong, et al.
Published: (2023)
by: Lee, Ju-Hong, et al.
Published: (2023)
NoxTrader: LSTM-Based Stock Return Momentum Prediction for Quantitative Trading
by: Liu, Hsiang-Hui, et al.
Published: (2023)
by: Liu, Hsiang-Hui, et al.
Published: (2023)
Quantum-Assisted Optimal Rebalancing with Uncorrelated Asset Selection for Algorithmic Trading Walk-Forward QUBO Scheduling via QAOA
by: Weinberg, Abraham Itzhak
Published: (2026)
by: Weinberg, Abraham Itzhak
Published: (2026)
Optimal Portfolio Construction -- A Reinforcement Learning Embedded Bayesian Hierarchical Risk Parity (RL-BHRP) Approach
by: Kang, Shaofeng, et al.
Published: (2025)
by: Kang, Shaofeng, et al.
Published: (2025)
Dynamic Tracking Error and the Total Portfolio Approach
by: Alankar, Ashwin, et al.
Published: (2026)
by: Alankar, Ashwin, et al.
Published: (2026)
Squeezed Covariance Matrix Estimation: Analytic Eigenvalue Control
by: Khalaf, Layla Abu, et al.
Published: (2025)
by: Khalaf, Layla Abu, et al.
Published: (2025)
Curriculum Learning and Imitation Learning for Model-free Control on Financial Time-series
by: Koh, Woosung, et al.
Published: (2023)
by: Koh, Woosung, et al.
Published: (2023)
Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agent
by: Escudero, Alejandra de la Rica, et al.
Published: (2024)
by: Escudero, Alejandra de la Rica, et al.
Published: (2024)
Similar Items
-
Return Prediction for Mean-Variance Portfolio Selection: How Decision-Focused Learning Shapes Forecasting Models
by: Lee, Junhyeong, et al.
Published: (2024) -
LLM-Enhanced Black-Litterman Portfolio Optimization
by: Lee, Youngbin, et al.
Published: (2025) -
Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization
by: Hwang, Yoontae, et al.
Published: (2025) -
Regime-Adaptive Continual Learning for Portfolio Management
by: Pan, Chaofan, et al.
Published: (2026) -
Advancing Portfolio Optimization: Adaptive Minimum-Variance Portfolios and Minimum Risk Rate Frameworks
by: Jha, Ayush, et al.
Published: (2025)