OpVaR 1.0.5
Statistical Methods for Modeling Operational Risk
Released May 29, 2018 by Christina Zou
This package cannot yet be used with Renjin it depends on other packages which are not available:
VineCopula 2.1.6
Dependencies
VineCopula 2.1.6
vcd 1.4-4
goftest 1.1-1
truncnorm 1.0-8
pracma 2.1.4
MASS 7.3-50
evmix 2.11
actuar 2.3-1
ReIns 1.0.7
tea 1.0
Functions for computing the Value-at-Risk in compound Poisson models. The implementation comprises functions for modeling loss frequencies and loss severities with plain, mixed (Frigessi et al. (2012) ) or spliced distributions using Maximum Likelihood estimation and Bayesian approaches (Ergashev et al. (2013) ). In particular, the parametrization of tail distributions includes the fitting of Tukey-type distributions (Kuo and Headrick (2014) ). Furthermore, the package contains the modeling of bivariate dependencies between loss severities and frequencies, Monte Carlo simulation for total loss estimation as well as a closed-form approximation based on Degen (2010) to determine the value-at-risk.
