COMPARATIVE ANALYSIS AND RANKING OF HYBRID MACHINE LEARNING AND GARCH MODELS FOR STOCK MARKET VOLATILITY IN SADC FINANCIAL MARKETS
This study investigates the forecasting performance of machine learning models and traditional econometric volatility models in predicting daily stock price volatility across selected Southern African Development Community (SADC) markets from 02 January 2015 to 08 May 2026. Using data sourced from Yahoo Finance, the st...