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…
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…
Hybrid Ridgelet Deep Neural Networks for Data-Driven Arbitrage Strategies
Bahadur Yadav, Sanjay Kumar Mohanty
In this study, we propose a novel model framework that integrates deep neural networks with the Ridgelet Transform. The Ridgelet Transform on Borel measurable functions is used for…