“…In particular, they provide natural models for the evolution of the covariance matrix of multi-asset prices that exhibit random dependence, such as the Wishart process [10], the jump-type Wishart process [38], and a certain class of matrix-valued Ornstein-Uhlenbeck processes driven by Lévy subordinators [7]. Among these, the Wishart process is the most popular one, and it can be used as a multivariate covariance model that extends the well-known Heston model [26]; see also [3], [9], [11], [14], [21], [22], [23], [24], and [25]. The jump-type Wishart process was introduced by Leippold and Trojani [38] to provide additional model flexibility.…”