Researchers used a model called GARCH-MIDAS to study the daily volatility of coffee prices in Ethiopia from 2010 to 2019. They found that different economic indicators, like money supply and interest rates, play a significant role in explaining price volatility. The model accurately forecasted price movements and provided insights that a standard model couldn't capture.