3 papers
q-fin.ST2025
Integrating LSTM Networks with Neural Levy Processes for Financial Forecasting
Mohammed Alruqimi, Luca Di Persio
This paper investigates an optimal integration of deep learning with financial models for robust asset price forecasting. Specifically, we developed a hybrid framework combining a…
cs.LG2024
Multistep Brent Oil Price Forecasting with a Multi-Aspect Meta-heuristic Optimization and Ensemble Deep Learning Model
Mohammed Alruqimi, Luca Di Persio
Accurate crude oil price forecasting is crucial for various economic activities, including energy trading, risk management, and investment planning. Although deep learning models h…
cs.LG2024
Enhancing Multi-Step Brent Oil Price Forecasting with Ensemble Multi-Scenario Bi-GRU Networks
Mohammed Alruqimi, Luca Di Persio
Despite numerous research efforts in applying deep learning to time series forecasting, achieving high accuracy in multi-step predictions for volatile time series like crude oil pr…