# Second-order uncertainty

Those not trained in statistics often find the expression 'stable random process' quite puzzling. "How", they ask, "can a process be both stable and random?" The answer, of course, is that any one draw is random and, hence, unknowable in advance. If the random process is stable, however, then sizeable samples will exhibit broadly similar characteristics, such as the mean, the dispersion (standard deviation), the degree of symmetry or lack thereof (skewness), and the tendency for probability in t

#### 7 days in 60 seconds

###### Replacing Libor, FSB and haircut models

The week on Risk.net, September 8–14 2017