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…
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…
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…
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…