The article compares different models to predict how gasoline prices in Erbil city will change. They looked at different ways to measure how much the prices go up and down each day. After testing different models, they found that the best one to predict gasoline price changes is a specific type of Power GARCH model with a student-t distribution. This model can help with making decisions about investments, pricing assets, managing risks, and choosing where to put money.