Normality assumption for ARIMA analysis

I have two time series that I wish to quantify their relationship using arima analysis. Both data series are not normally distributed, even after trying all of the usual data transformations (e.g. taking natural log, squaring, inverse etc). Is it still possible to fit a model to non normal data using the arima method. If so, what is the impact on the model?