5 citations · 5 across the 3 of their papers we have counts for
3 papers
Predicting the State of Synchronization of Financial Time Series using Cross Recurrence Plots
Mostafa Shabani, Martin Magris, George Tzagkarakis +2
Cross-correlation analysis is a powerful tool for understanding the mutual dynamics of time series. This study introduces a new method for predicting the future state of synchroniz…
Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction
Mostafa Shabani, Dat Thanh Tran, Martin Magris +2
Financial time-series forecasting is one of the most challenging domains in the field of time-series analysis. This is mostly due to the highly non-stationary and noisy nature of f…
Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting
Mostafa Shabani, Alexandros Iosifidis
Financial market analysis, especially the prediction of movements of stock prices, is a challenging problem. The nature of financial time-series data, being non-stationary and nonl…