Report (Published version) - 
Free access
Highlights
More informations
Report
unige:5740 
 |
Local Transformation Kernel Density Estimation of Loss |
|
| Authors | ||
| Year | 2006 | |
| Collection |
Cahiers de recherche; 2006.10 |
|
| Abstract | We develop a tailor made semiparametric asymmetric kernel density estimator for the estimation of actuarial loss distributions. The estimator is obtained by transforming the data with the generalized Champernowne distribution initially fitted to the data. Then the density of the transformed data is estimated by use of local asymmetric kernel methods to obtain superior estimation properties in the tails. We find in a vast simulation study that the proposed semiparametric estimation procedure performs well relative to alternative estimators. An application to operational loss data illustrates the proposed method. | |
| Keywords | Actuarial loss models — Transformation — Champernowne distribution — Asymmetric kernels — Local likelihood estimation | |
| Full text | ||
| Structures | ||
| Citation (ISO format) | GUSTAFSSON, J. et al. Local Transformation Kernel Density Estimation of Loss. 2006 https://archive-ouverte.unige.ch/unige:5740 |
196 hits 
517 downloads 
Contact an author
Update