As we learned from Quantitative part of the CFA textbook –
(1) Kurtosis and excess kurtosis deal with whether or not a distribution is more or less “peaked” than a normal distribution. For example, leptokurtic is used to describe a distribution whose sample kurtosis is larger than 3 and excess kurtosis is larger than 0. We also learned that leptokurtic distribution is more peaked and it has “fatter tails”, while platykurtic distribution is less peaked and it has “thin tails”.
(2) Student’s t-distribution is less peaked than a normal distribution, at the same time, t-distribution has “fatter tails”.
In this way, it seems like that t-distribution is neither leptokurtic nor platykurtic. Does it mean that we cannot describe the kurtosis of “t-distribution”?
(1) Kurtosis and excess kurtosis deal with whether or not a distribution is more or less “peaked” than a normal distribution. For example, leptokurtic is used to describe a distribution whose sample kurtosis is larger than 3 and excess kurtosis is larger than 0. We also learned that leptokurtic distribution is more peaked and it has “fatter tails”, while platykurtic distribution is less peaked and it has “thin tails”.
(2) Student’s t-distribution is less peaked than a normal distribution, at the same time, t-distribution has “fatter tails”.
In this way, it seems like that t-distribution is neither leptokurtic nor platykurtic. Does it mean that we cannot describe the kurtosis of “t-distribution”?