1999 ◽  
Vol 29 (2) ◽  
pp. 197-214 ◽  
Author(s):  
Rudolf Grübel ◽  
Renate Hermesmeier

AbstractNumerical evaluation of compound distributions is one of the central numerical tasks in insurance mathematics. Two widely used techniques are Panjer recursion and transform methods. Many authors have pointed out that aliasing errors imply the need to consider the whole distribution if transform methods are used, a potential drawback especially for heavy-tailed distributions. We investigate the magnitude of aliasing errors and show that this problem can be solved by a suitable change of measure.


2016 ◽  
Vol 35 (4) ◽  
Author(s):  
Matthias Fischer

We introduce a skewness parameter into Vaughan’s (2002) generalized secant hyperbolic (GSH) distribution by means of exponential tilting and develop some properties of the new distribution family. In particular, the moment-generating function is derived which ensures the existence of all moments. Finally, the flexibility of our distribution is compared to similar parametric models by means of moment-ratio plots and application to foreign exchange rate data.


2003 ◽  
Vol 61 (1) ◽  
pp. 83-89 ◽  
Author(s):  
Steven J. Kathman ◽  
George R. Terrell

Biometrika ◽  
2016 ◽  
Vol 103 (2) ◽  
pp. 337-349 ◽  
Author(s):  
S. A. Kharroubi ◽  
T. J. Sweeting
Keyword(s):  

2007 ◽  
Vol 11 (3) ◽  
pp. 89-99 ◽  
Author(s):  
Shaun Wang
Keyword(s):  

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