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The Two-Factor Cairns- Blake- Dowd Mortality Model for Forecasting Egyptian Mortality Rates with StMoMo in R

المصدر: مجلة راية الدولية للعلوم التجارية
الناشر: معهد راية العالي للإدارة والتجارة الخارجية بدمياط الجديدة
المؤلف الرئيسي: Abdel Naby, Mohamed Ahmed (Author)
مؤلفين آخرين: Neel, Dina Talaat Hamdy (Co-Author)
المجلد/العدد: مج3, ع11
محكمة: نعم
الدولة: مصر
التاريخ الميلادي: 2024
الشهر: أكتوبر
الصفحات: 1853 - 1884
ISSN: 2812-6440
رقم MD: 1525120
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: EcoLink
مواضيع:
كلمات المؤلف المفتاحية:
Two Factor Model | Cairns- Blake- Dowd Model | Log Likelihood | Multivariate Random Walk with Drift | StMoMo Package
رابط المحتوى:
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المستخلص: Forecasting mortality rates is crucial for insurance companies to accurately pricing policies and manage risks. accurate forecasted mortality rates enable insurance companies to minimize losses, set reasonable premiums, introduce new policies, and manage longevity risks effectively. Improved forecasting accuracy not only benefits insurance companies but also impacts pension funds, life insurers, and social securities, making it a vital aspect of actuarial science and demographic statistics. based on this, this research provides the two factor Cairns-Blake-Dowd (CBD) model to forecasting Egyptian mortality rates using R package StMoMo. Estimated of CBD parameters model by maximizing the model log- likelihood, and the multivariate random walk with drift will be used to forecast the CBD model's parameters. The model applied on both males and females data for the period (1960-2023). The forecast is for period (2024-2043). The main finding is that CBD model is useful for specific age ranges (elderly ages) and time periods. And there is an increasing in life expectancy for both males and females in Egypt.

ISSN: 2812-6440