ABSTRACT
The financial literature has recognized for some time (Fama, 1965; Mandelbrot, 1997) that return distributions exhibit fat tails and asymmetry which are significantly different than the normal distribution. This phenomenon is more evident in daily and higher-frequency returns and has led many researchers to use different models to explain skewness and excess kurtosis. Mixture models provide a flexible approach to capture these features of the return distribution.
