Modeling claim exceedances over thresholds
In this paper, we consider a simple risk model and study the occurrences of clusters of threshold exceedances by the individual claims. The statistic used to study the model is the discrete multiple scan statistic. A compound Poisson approximation is established and certain asymptotic results are ob...
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Veröffentlicht in: | Insurance, mathematics & economics mathematics & economics, 2002-02, Vol.30 (1), p.67-83 |
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description | In this paper, we consider a simple risk model and study the occurrences of clusters of threshold exceedances by the individual claims. The statistic used to study the model is the discrete multiple scan statistic. A compound Poisson approximation is established and certain asymptotic results are obtained for both the risk model and a similar in nature financial problem. Finally, we review two typical examples from areas of applied science where the outcomes of this paper may have beneficial impact. |
doi_str_mv | 10.1016/S0167-6687(01)00097-X |
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Finally, we review two typical examples from areas of applied science where the outcomes of this paper may have beneficial impact.</description><subject>Claim exceedances</subject><subject>Cluster analysis</subject><subject>Compound Poisson approximation</subject><subject>Discrete scan statistic</subject><subject>Economic models</subject><subject>Insurance</subject><subject>Mathematical models</subject><subject>Multiple scan statistic</subject><subject>Poisson convergence</subject><subject>Risk</subject><subject>Risk model</subject><subject>Studies</subject><subject>Weibull limit theorem</subject><issn>0167-6687</issn><issn>1873-5959</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><recordid>eNqFkEtLBDEQhIMouK7-BGHxICqMdibJZOYkIr5A8aCCt5BNetzIPNZkdtF_b-uKBy8eqpuGr4qmGNvlcMyBFycPNHRWFKU-AH4IAJXOntfYiJdaZKpS1Tob_SKbbCulV4J4VegRO7rrPTahe5m4xoZ2gu8O0dvOYZr0S4yTYRYxzfrGp222Udsm4c7PHrOny4vH8-vs9v7q5vzsNnOy4EMmcq-VrqwrvQCcgpQapdK8dtwrzAuPrp46rZSUBchaa59L6zgdlZiikGLM9le589i_LTANpg3JYdPYDvtFMqKCKldEj9neH_C1X8SOfjM5lLxQuQCC1ApysU8pYm3mMbQ2fhgO5qs-812f-erGADff9Zln8l2vfBHn6H5NiBi6tGitWRphBdD4IOUAOa1A4qQ5iTJLYWZDS1Gnqyik1pYBo0kuIFXsQ0Q3GN-Hf575BOBnjmk</recordid><startdate>20020201</startdate><enddate>20020201</enddate><creator>Boutsikas, M.V.</creator><creator>Koutras, M.V.</creator><general>Elsevier B.V</general><general>Elsevier</general><general>Elsevier Sequoia S.A</general><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope><scope>JQ2</scope></search><sort><creationdate>20020201</creationdate><title>Modeling claim exceedances over thresholds</title><author>Boutsikas, M.V. ; Koutras, M.V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c461t-32d7579ac8d30eb0447e4571fc1d5e26decfbc75544604f77d24ac146093be343</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Claim exceedances</topic><topic>Cluster analysis</topic><topic>Compound Poisson approximation</topic><topic>Discrete scan statistic</topic><topic>Economic models</topic><topic>Insurance</topic><topic>Mathematical models</topic><topic>Multiple scan statistic</topic><topic>Poisson convergence</topic><topic>Risk</topic><topic>Risk model</topic><topic>Studies</topic><topic>Weibull limit theorem</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Boutsikas, M.V.</creatorcontrib><creatorcontrib>Koutras, M.V.</creatorcontrib><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Computer Science Collection</collection><jtitle>Insurance, mathematics & economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Boutsikas, M.V.</au><au>Koutras, M.V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling claim exceedances over thresholds</atitle><jtitle>Insurance, mathematics & economics</jtitle><date>2002-02-01</date><risdate>2002</risdate><volume>30</volume><issue>1</issue><spage>67</spage><epage>83</epage><pages>67-83</pages><issn>0167-6687</issn><eissn>1873-5959</eissn><coden>IMECDX</coden><abstract>In this paper, we consider a simple risk model and study the occurrences of clusters of threshold exceedances by the individual claims. 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source | RePEc; ScienceDirect Journals (5 years ago - present) |
subjects | Claim exceedances Cluster analysis Compound Poisson approximation Discrete scan statistic Economic models Insurance Mathematical models Multiple scan statistic Poisson convergence Risk Risk model Studies Weibull limit theorem |
title | Modeling claim exceedances over thresholds |
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