Research Article
Investigating the Impact of Variable Dividends and Tail Dependence in a Compound Poisson Risk Model
Kiswendsida Mahamoudou Ouedraogo,
Delwendé Abdoul-Kabir Kafando*,
Francois Xavier Ouedraogo,
Pierre Clovis Nitiema
Issue:
Volume 10, Issue 1, April 2024
Pages:
1-9
Received:
25 December 2023
Accepted:
4 January 2024
Published:
18 January 2024
Abstract: This paper extends the compound Poisson risk model with a variable threshold dividend payment strategy and dependence between claims and inter-claim times, modeled via the Spearman copula. The objective is to establish the ultimate ruin probability in this framework. Following an introduction that motivates the study and highlights limitations of traditional risk models, the paper reviews relevant literature on risk models, dividend strategies, and copulas. Subsequently, it describes the extended model, including the dividend strategy and dependence structure. The Gerber-Shiu transform and Laplace transform of the ruin probability are then derived. Finally, the ultimate ruin probability is determined within the proposed model. Concluding remarks discuss the implications of the findings and suggest directions for future research. By considering a more realistic and comprehensive approach to financial risk modeling in insurance, this paper aims to contribute to the field of insurance risk management and provide industry professionals with improved tools for risk assessment and management.
Abstract: This paper extends the compound Poisson risk model with a variable threshold dividend payment strategy and dependence between claims and inter-claim times, modeled via the Spearman copula. The objective is to establish the ultimate ruin probability in this framework. Following an introduction that motivates the study and highlights limitations of t...
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Research Article
Count Models of Mortality for Children Under Five Years in Kenya
Esther Mwau*,
Samuel Mwalili,
Thomas Mageto
Issue:
Volume 10, Issue 1, April 2024
Pages:
10-15
Received:
16 October 2023
Accepted:
6 November 2023
Published:
5 February 2024
Abstract: Child mortality under the age of five (U5M) is a critical public health concern influenced by several factors. Child mortality rate can be used to gauge a country’s health status and progress towards achieving sustainable development goals. These Goals, were established in 2015 by the United Nations General Assembly, to be accomplished by 2030. The SDG Goal 3 target 2 Strives to achieve a substantial reduction in under-5 mortality rates, with the ambitious goal of lowering them to 25 or fewer deaths per 1,000 live births by the year 2030. Reducing the deaths of toddlers aged five and below is a crucial objective for developing countries, particularly in regions of the continent of Africa that lie south of the Sahara This study delves into the distribution and determinants of U5M in Kenya, employing count models to scrutinize the spatial dynamic distribution and socio-economic variables utilizing information obtained from the 2014 Kenya Demographic Health Survey (KDHS). By uncovering geographical variations in U5M rates, this research aims to inform the design of integrated interventions, thereby reducing the financial burden associated with these interventions and averting redundant resource allocation. The study revealed that region, mothers’ level of education, and socioeconomic factors were significant risk factors associated with under-five mortality. The findings of this study contribute to a more targeted and efficient approach to addressing child mortality, ultimately improving the well-being of Kenya’s youngest population.
Abstract: Child mortality under the age of five (U5M) is a critical public health concern influenced by several factors. Child mortality rate can be used to gauge a country’s health status and progress towards achieving sustainable development goals. These Goals, were established in 2015 by the United Nations General Assembly, to be accomplished by 2030. The...
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