Comparing Stochastic Models for Forecasting Mortality in Malaysia: Lee-Carter, Booth-Maindonald-Smith, and Age-Period-Cohort [PDF]
Mathematical Sciences and Informatics JournalThe Human Life Table Database (HLD) provided the death rate data utilised in this study. With an emphasis on gender disparities and applying data from 2001 to 2020, this study analyses the problem of selecting the most accurate stochastic ...
Shamshimah Samsuddin +4 more
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Bivariate stochastic modeling of functional response with natural mortality [PDF]
, 2010 A correction due to Abbott (1925) is the standard method of dealing with control mortality in insect bioassay to estimate the mortality of an insect conditional on control mortality not having occurred.
Skirvin, David J. +8 more
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A Bibliometric Analysis of Research on Stochastic Mortality Modelling and Forecasting
Risks, 2022 Mortality improvements and life expectancies have been increasing in recent decades, leading to growing interest in understanding mortality risk and longevity risk. Studies of mortality forecasting are of interest among actuaries and demographers because
Norkhairunnisa Redzwan, Rozita Ramli
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Data, 2023 Mortality shocks, such as pandemics, threaten the consolidated longevity improvements, confirmed in the last decades for the majority of western countries.
Maria Francesca Carfora, Albina Orlando
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Spouses’ Dependence across Generations and Pricing Impact on Reversionary Annuities
Risks, 2016 This paper studies the dependence between coupled lives, i.e., the spouses’ dependence, across different generations, and its effects on prices of reversionary annuities in the presence of longevity risk.
Elisa Luciano, Jaap Spreeuw, Elena Vigna
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Projecting Mortality Rates Using a Markov Chain
Mathematics, 2022 We present a mortality model where future stochastic changes in population-wide mortality are driven by a finite-state hierarchical Markov chain. A baseline mortality in an initial ‘Alive’ state is calculated as the average logarithm of the observed ...
Jaap Spreeuw +2 more
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StMoMo: An R Package for Stochastic Mortality Modeling
Journal of Statistical Software, 2018 In this paper we mirror the framework of generalized (non-)linear models to define the family of generalized age-period-cohort stochastic mortality models which encompasses the vast majority of stochastic mortality projection models proposed to date ...
Andrés M. Villegas +2 more
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Extensions on the Hatzopoulos–Sagianou Multiple-Components Stochastic Mortality Model
Risks, 2022 In this paper, we present extensions of the Hatzopoulos–Sagianou (2020) (HS) multiple-component stochastic mortality model. Our aim is to thoroughly evaluate and stress test the HS model by deploying various link functions, using generalised linear ...
Aliki Sagianou, Peter Hatzopoulos
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Life Settlements Pricing in Iran’s Secondary Market Using Deterministic, Probabilistic, and Stochastic Approaches [PDF]
تحقیقات مالی, 2023 Objective: This article explains different approaches for pricing life settlements in the secondary market to adopt them for pricing the same product in Iran’s insurance industry.Methods: This is a quantitative study with a focus on life settlements ...
Mahboubeh Aalaei +2 more
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Application of Machine Learning to Mortality Modeling and Forecasting
Risks, 2019 Estimation of future mortality rates still plays a central role among life insurers in pricing their products and managing longevity risk. In the literature on mortality modeling, a wide number of stochastic models have been proposed, most of them ...
Susanna Levantesi, Virginia Pizzorusso
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