the standard Gaussian copula model yet preserve tractability and computational efficiency. In one extension, we randomize recovery rates, explicitly allowing for the empirically well-established effect of inverse correlation between recovery rates and default frequencies. In another extension, we build into the model random systematic factor loadings, effectively allowing default correlations t...

In this paper, we introduce the inverse exponentiated Lomax power series (IELoPS) class of distributions, obtained by compounding and distributions. The IELoPS contains some significant new flexible lifetime distributions that possess powerful physical explications applied in areas like industrial biological studies. comprises as a subclass well several compounded For proposed class, characteri...