Cover Image

A hybrid wavelet-based physics-informed neural network for portfolio management

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yadav, Bahadur, Mohanty, Mahaprasad, Behera, Ratikanta, Mohanty, Sanjay Kumar
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Systematic Review of Recent Advancements in PINN Augmented Deep Learning and Mathematical Modeling for Efficient Portfolio Management
by: Yadav, Bahadur, et al.
Published: (2026)

Encoder Decoder Generative Adversarial Network Model for Stock Market Prediction
by: Yadav, Bahadur, et al.
Published: (2025)

Hybrid Quantum-Classical Ridgelet Neural Networks for Portfolio Optimization
by: Yadav, Bahadur, et al.
Published: (2026)

Hybrid Ridgelet Deep Neural Networks for Data-Driven Arbitrage Strategies
by: Yadav, Bahadur, et al.
Published: (2025)

Explainable Artificial Intelligence for Financial Integral Equations: A Fixed-Point Neural Operator Approach
by: Mohanty, Sanjay Kumar
Published: (2026)

An efficient wavelet-based physics-informed neural network for multiscale problems
by: Pandey, Himanshu, et al.
Published: (2024)

Quaternion Nonlinear Transform-Induced Nuclear Norm for Low-Rank Tensor Completion
by: Karmakar, Biswarup, et al.
Published: (2026)

Solving The Vehicle Routing Problem via Quantum Support Vector Machines
by: Mohanty, Nishikanta, et al.
Published: (2023)

A hybrid physics-informed neural network based multiscale solver as a partial differential equation constrained optimization problem
by: Hintermüller, Michael, et al.
Published: (2023)

Robust Low-Rank Tensor Completion based on M-product with Weighted Correlated Total Variation and Sparse Regularization
by: Karmakar, Biswarup, et al.
Published: (2026)

A neural network-based approach to hybrid systems identification for control
by: Fabiani, Filippo, et al.
Published: (2024)

Smart energy management: process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems
by: Wu, Long, et al.
Published: (2024)

Delegated portfolio management with random default
by: Gennaro, Alberto, et al.
Published: (2024)

Solving a class of stochastic optimal control problems by physics-informed neural networks
by: Jiao, Zhe, et al.
Published: (2024)

KKT-based optimality conditions for neural network approximation
by: Peiris, Vinesha, et al.
Published: (2025)

Risk management in multi-objective portfolio optimization under uncertainty
by: Becker, Yannick, et al.
Published: (2024)

Improved Physics-informed neural networks loss function regularization with a variance-based term
by: Hanna, John M., et al.
Published: (2024)

Nonsmooth Optimisation and neural networks
by: Peiris, Vinesha, et al.
Published: (2025)

Constrained portfolio game with heterogeneous agents
by: Liang, Zongxia, et al.
Published: (2024)

Autonomous driving using an optimized neural network based adaptive LPV-MPC controller
by: Kebbati, Yassine, et al.
Published: (2025)

Evolving School Transport Electrification: Integrated Dynamic Route Optimization and Partial Charging for Mixed Fleets
by: KC, Megh Bahadur, et al.
Published: (2025)

A mixed-integer framework for analyzing neural network-based controllers for piecewise affine systems with bounded disturbances
by: Teichrib, Dieter, et al.
Published: (2025)

Equilibrium portfolio selection under beliefs-dependent utilities
by: Chen, Xiaochen, et al.
Published: (2024)

Consumption and portfolio optimization solvable problems with recursive preferences
by: Kang, Jian-hao, et al.
Published: (2023)

Hopfield neural networks as port-Hamiltonian and gradient systems
by: van der Schaft, Arjan
Published: (2026)

Penalty Adversarial Network (PAN): A neural network-based method to solve PDE-constrained optimal control problems
by: Ma, Shilin, et al.
Published: (2024)

Adversarial neural network methods for topology optimization of eigenvalue problems
by: Hu, Xindi, et al.
Published: (2024)

On Column sufficiency and Extended Horizontal Linear Complementarity Problem
by: Yadav, Punit Kumar, et al.
Published: (2025)

Error bounds for maxout neural network approximations of model predictive control
by: Teichrib, Dieter, et al.
Published: (2023)

Robust stabilization of polytopic systems via fast and reliable neural network-based approximations
by: Fabiani, Filippo, et al.
Published: (2022)

Deep neural network approximations for the stable manifolds of the Hamilton-Jacobi-Bellman equations
by: Chen, Guoyuan
Published: (2020)

Gaussian Bayesian Networks for Estimating Stiff Continuous-Discrete Stochastic Systems with Ill-Conditioned Measurements
by: Behera, Priyank, et al.
Published: (2025)

Influence Diagrams for Robust Multi-Target Tracking
by: Behera, Priyank, et al.
Published: (2025)

The multi-objective portfolio model for oil and gas exploration drilling projects selection and its operator-enhanced NSGA-II based solution
by: Min, Chao, et al.
Published: (2026)

A dynamical neural network approach for distributionally robust chance constrained Markov decision process
by: Xia, Tian, et al.
Published: (2023)

Best free knot linear spline approximation and its application to neural networks
by: Peiris, Vinesha, et al.
Published: (2024)

Verifying message-passing neural networks via topology-based bounds tightening
by: Hojny, Christopher, et al.
Published: (2024)

A novel neural network with predefined-time stability for solving generalized monotone inclusion problems with applications
by: Van Tran, Nam
Published: (2026)

Bayesian Optimization for CVaR-based portfolio optimization
by: Millar, Robert, et al.
Published: (2025)

Pruning for efficient deterministic global optimization over trained ReLU neural networks
by: Lastrucci, Giacomo, et al.
Published: (2026)