Management of exchange rate forecasting through Vanilla Long Short-Term Memory Networks (LSTM) and Auto-Regressive Integrated Moving Average (ARIMA) / Mysarah Haslan ... [et al.]

• Main Authors: Haslan, Mysarah, Shafii, Nor Hayati, Md Nasir, Diana Sirmayunie, Fauzi, Nur Fatihah, Mohamad Nor, Nor Azriani
• Format: Article
• Language: English
• Published: Universiti Teknologi MARA, Perlis 2024
• Subjects: Mathematical statistics. Probabilities
• Online Access: https://ir.uitm.edu.my/id/eprint/101041/1/101041.pdf; https://ir.uitm.edu.my/id/eprint/101041/; https://myjms.mohe.gov.my/index.php/intelek/index

Predicting foreign exchange rates presents a formidable challenge within financial forecasting, given its pivotal role in influencing a country's economic trajectory. To address this challenge, numerous forecasting models are employed with the aim of anticipating future exchange rate movements....