ABSTRACT
In this paper, a bivariate version of the Matsumoto-Yor independence property for the generalized inverse Gaussian (GIG) and gamma distributions is considered. It appears that the property does not characterize the general families of bivariate gamma and GIG distributions but only special cases of random vectors with either independent or linearly dependent components.
