Analysis of Risk Factors Affecting the Motor Insurance Pricing with Generalized Linear Models

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Affecting the Motor Insurance Pricing with Generalized Linear Models</title> <meta name="description" content="Analysis of Risk Factors Affecting the Motor Insurance Pricing with Generalized Linear Models"> <meta name="keywords" content="generalized linear models, risk factor, pure premium, regression model"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img 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publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">Analysis of Risk Factors Affecting the Motor Insurance Pricing with Generalized Linear Models</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Puttharapong%20Sakulwaropas">Puttharapong Sakulwaropas</a>, <a href="https://publications.waset.org/abstracts/search?q=Uraiwan%20%20Jaroengeratikun"> Uraiwan Jaroengeratikun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Casualty insurance business, the optimal premium pricing and adequate cost for an insurance company are important in risk management. Normally, the insurance pure premium can be determined by multiplying the claim frequency with the claim cost. The aim of this research was to study in the application of generalized linear models to select the risk factor for model of claim frequency and claim cost for estimating a pure premium. In this study, the data set was the claim of comprehensive motor insurance, which was provided by one of the insurance company in Thailand. The results of this study found that the risk factors significantly related to pure premium at the 0.05 level consisted of no claim bonus (NCB) and used of the car (Car code). <iframe src="https://publications.waset.org/abstracts/65636.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=generalized%20linear%20models" title="generalized linear models">generalized linear models</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factor" title=" risk factor"> risk factor</a>, <a href="https://publications.waset.org/abstracts/search?q=pure%20premium" title=" pure premium"> pure premium</a>, <a href="https://publications.waset.org/abstracts/search?q=regression%20model" title=" regression model"> regression model</a> </p> <a 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Analysis of Risk Factors Affecting the Motor Insurance Pricing with Generalized Linear Models