Exchange Rate Forecasting: A Comparative Study

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The coursework introduces students to exchange rate forecasting, highlighting its significance in global trade and investment. It discusses the challenges posed by volatility, and evaluates traditional models like ARIMA against machine learning approaches such as Random Forest and XGBoost. The literature review covers seminal research and recent advancements. Students will engage with real-world data, focusing on major currency pairs and applying exploratory and statistical analysis...