I have monthly data (36 months). My aim is to reveal the impact of covid on food prices.

Data is nonstationary. There is an ARCH effect and low value follows low value or high value follows high value. Also, the coefficients of the mean equation of the estimation are significant. In the ARCH equation, GARCH is significant. There is a normal distribution and no autocorrelation in the EGARCH Model.

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