Computation of Compound Distributions II: Discretization Errors and Richardson Extrapolation

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Rudolf Grübel
  • Renate Hermesmeier
View graph of relations

Details

Original languageEnglish
Pages (from-to)309-331
Number of pages23
JournalAstin bulletin
Volume30
Issue number2
Publication statusPublished - Nov 2000

Abstract

The standard methods for the calculation of total claim size distributions and ruin probabilities, Panjer recursion and algorithms based on transforms, both apply to lattice-type distributions only and therefore require an initial discretization step if continuous distribution functions are of interest. We discuss the associated discretization error and show that it can often be reduced substantially by an extrapolation technique.

Keywords

    acceleration of convergence, discretization, ruin probabilities, Total claim size distribution

ASJC Scopus subject areas

Cite this

Computation of Compound Distributions II: Discretization Errors and Richardson Extrapolation. / Grübel, Rudolf; Hermesmeier, Renate.
In: Astin bulletin, Vol. 30, No. 2, 11.2000, p. 309-331.

Research output: Contribution to journalArticleResearchpeer review

Grübel R, Hermesmeier R. Computation of Compound Distributions II: Discretization Errors and Richardson Extrapolation. Astin bulletin. 2000 Nov;30(2):309-331. doi: 10.2143/AST.30.2.504638
Grübel, Rudolf ; Hermesmeier, Renate. / Computation of Compound Distributions II : Discretization Errors and Richardson Extrapolation. In: Astin bulletin. 2000 ; Vol. 30, No. 2. pp. 309-331.
Download
@article{087566a0c2104e9e963bb32d9b34da03,
title = "Computation of Compound Distributions II: Discretization Errors and Richardson Extrapolation",
abstract = "The standard methods for the calculation of total claim size distributions and ruin probabilities, Panjer recursion and algorithms based on transforms, both apply to lattice-type distributions only and therefore require an initial discretization step if continuous distribution functions are of interest. We discuss the associated discretization error and show that it can often be reduced substantially by an extrapolation technique.",
keywords = "acceleration of convergence, discretization, ruin probabilities, Total claim size distribution",
author = "Rudolf Gr{\"u}bel and Renate Hermesmeier",
year = "2000",
month = nov,
doi = "10.2143/AST.30.2.504638",
language = "English",
volume = "30",
pages = "309--331",
journal = "Astin bulletin",
issn = "0515-0361",
publisher = "Cambridge University Press",
number = "2",

}

Download

TY - JOUR

T1 - Computation of Compound Distributions II

T2 - Discretization Errors and Richardson Extrapolation

AU - Grübel, Rudolf

AU - Hermesmeier, Renate

PY - 2000/11

Y1 - 2000/11

N2 - The standard methods for the calculation of total claim size distributions and ruin probabilities, Panjer recursion and algorithms based on transforms, both apply to lattice-type distributions only and therefore require an initial discretization step if continuous distribution functions are of interest. We discuss the associated discretization error and show that it can often be reduced substantially by an extrapolation technique.

AB - The standard methods for the calculation of total claim size distributions and ruin probabilities, Panjer recursion and algorithms based on transforms, both apply to lattice-type distributions only and therefore require an initial discretization step if continuous distribution functions are of interest. We discuss the associated discretization error and show that it can often be reduced substantially by an extrapolation technique.

KW - acceleration of convergence

KW - discretization

KW - ruin probabilities

KW - Total claim size distribution

UR - http://www.scopus.com/inward/record.url?scp=85011463391&partnerID=8YFLogxK

U2 - 10.2143/AST.30.2.504638

DO - 10.2143/AST.30.2.504638

M3 - Article

AN - SCOPUS:85011463391

VL - 30

SP - 309

EP - 331

JO - Astin bulletin

JF - Astin bulletin

SN - 0515-0361

IS - 2

ER -