Standard deviation of the claims development result after one year for the distribution-free chain-ladder model (Mack) and Bootstrap model.
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CDR(x,...)## S3 method for class 'MackChainLadder'CDR(x, dev=1,...)## S3 method for class 'BootChainLadder'CDR(x, probs=c(0.75,0.95),...)## Default S3 method:CDR(x,...)
Arguments
x: otput of either MackChainLadder or BootChainLadder
dev: vector of development periods or "all". Currently only applicable for MackChainLadder output. Defines the years for which the run off claims development result should be returned.
probs: only applicable for BootChainLadder output. Define quantiles to be returned.
...: other arguments
Details
Merz & Wüthrich (2008) derived analytic formulae for the mean square error of prediction of the claims development result for the Mack chain-ladder model after one year assuming:
The opening reserves were set using the pure chain-ladder model (no tail)
Claims develop in the year according to the assumptions underlying Mack's model
Reserves are set after one year using the pure chain-ladder model (no tail)
Returns
A data.frame with various IBNR/reserves and one-year statistics of the claims development result.
References
Michael Merz, Mario V. Wüthrich. Modelling the claims developmentresult for solvency purposes. Casualty Actuarial Society E-Forum, Fall2008.
Michael Merz, Mario V. Wüthrich. Claims Run-Off Uncertainty: The FullPicture. Swiss Finance Institute Research Paper No. 14-69.<https://www.ssrn.com/abstract=2524352\>. 2014
Author(s)
Mario Wüthrich and Markus Gesmann with contributions from Arthur Charpentier and Arnaud Lacoume for CDR.MackChainLadder and Giuseppe Crupi and Markus Gesmann for CDR.BootChainLadder.
Note
Tail factors are currently not supported.
See Also
See also MackChainLadder and BootChainLadder
Examples
# Example from the 2008 Merz, Wuthrich paper mentioned aboveMW2008
M <- MackChainLadder(MW2008, est.sigma="Mack")plot(M)CDR(M)# Return all run-off result developmentsCDR(M, dev="all")# Example from the 2014 Merz, Wuthrich paper mentioned aboveMW2014
W <- MackChainLadder(MW2014, est.sigma="Mack")plot(W)CDR(W)# Example with the BootChainLadder function, assuming overdispered Poisson modelB <- BootChainLadder(MW2008, process.distr=c("od.pois"))B
CDR(B)