 Kurtosis risk is commonly referred to as "fat tail" risk.The "fat tail" metaphor explicitly describes the situation of having more observations at either extreme than the tails of the normal distribution would suggest; therefore, the tails are "fatter".Ignoring kurtosis risk will cause any model to understate the risk of variables with high kurtosis.