5 papers
A Systematic Review of Recent Advancements in PINN Augmented Deep Learning and Mathematical Modeling for Efficient Portfolio Management
Bahadur Yadav, Sanjay Kumar Mohanty
In finance, portfolio management is a traditional yet difficult problem that has drawn attention from practitioners and researchers for many years. However, there are still difficu…
Explainable Artificial Intelligence for Financial Integral Equations: A Fixed-Point Neural Operator Approach
Sanjay Kumar Mohanty
The explainable artificial intelligence is used to analyze the stochastic Fredholm integral equations (SFIEs) and stochastic deep neural networks (SDNNs). The neural operator-based…
Hybrid Quantum-Classical Ridgelet Neural Networks for Portfolio Optimization
Bahadur Yadav, Sanjay Kumar Mohanty
In this study, we introduce a quantum computing method that incorporates Ridglet transforms into quantum processing pipelines for financial time-series forecasting with Quantum App…
A hybrid wavelet-based physics-informed neural network for portfolio management
Bahadur Yadav, Mahaprasad Mohanty, Ratikanta Behera +1
In this paper, we present a Hybrid Wavelet-based Physics-Informed Neural Networks (HW-PINNs) framework for portfolio management that provides a promising alternative to Physics-Inf…
Encoder Decoder Generative Adversarial Network Model for Stock Market Prediction
Bahadur Yadav, Sanjay Kumar Mohanty
Forecasting stock prices remains challenging due to the volatile and non-linear nature of financial markets. Despite the promise of deep learning, issues such as mode collapse, uns…