notesum.ai
Published at November 12EUR/USD Exchange Rate Forecasting incorporating Text Mining Based on Pre-trained Language Models and Deep Learning Methods
cs.CE
cs.AI
Released Date: November 12, 2024
Authors: Xiangyu Shi1, Hongcheng Ding1, Salaar Faroog1, Deshinta Arrova Dewi1, Shamsul Nahar Abdullah1, Bahiah A Malek1
Aff.: 1INTI International University, Malaysia

| Method | Model | MAE | Rank | RMSE | Rank |
|---|---|---|---|---|---|
| Deep Learning + Optimization | PSO-LSTM | 0.144535 | 1 | 0.095793 | 1 |
| PSO-GRU | 0.171519 | 9 | 0.192560 | 11 | |
| Deep Learning | LSTM | 0.160276 | 7 | 0.107104 | 3 |
| GRU | 0.154488 | 6 | 0.108713 | 4 | |
| Machine Learning + Optimization | PSO-SVM | 0.142365 | 3 | 0.102022 | 2 |
| PSO-SVR | 0.164589 | 8 | 0.183262 | 9 | |
| Machine Learning | SVM | 0.143759 | 4 | 0.177816 | 6 |
| SVR | 0.189177 | 11 | 0.187001 | 10 | |
| Statistical Method (Multi-series) | VAR | 0.196366 | 12 | 0.197862 | 12 |
| ECM | 0.138344 | 2 | 0.179916 | 8 | |
| Statistical Method (Single-series) | ARIMA | 0.179173 | 10 | 0.146148 | 5 |
| GRACH | 0.152889 | 5 | 0.178053 | 7 |