Results 61 to 70 of about 1,226,739 (241)

Analysing reforms of social security disability pension provision in a multistage overlapping generations model

Journal of Risk and Insurance, EarlyView.
Abstract This paper introduces a multi‐stage Overlapping Generations (OLG) model of workers and retirees, segmented by disability status and eligibility for Disability Pension (DP) benefits. Extending Gertler (1999) with progressive disability stages of distinct productivity and transition probabilities, and calibrated to US data, the model generates ...
Hangsuck Lee, Steven Haberman, Byungdoo Kong, Seung Yeon Jeong   +3 more
wiley   +1 more source

Modelling academic success under uncertainty in Ghanaian colleges of education using neutrosophic regression

Discover Education
Background This study develops a leakage-free neutrosophic regression model to identify robust determinants of academic success and benchmarks its predictive value against a conventional logistic model.
Senyefia Bosson-Amedenu, Francis Ayiah-Mensah, Anthony Joe Turkson, John Awuah Addor, Emmanuel Mensah Baah   +4 more
doaj   +1 more source

Advancements in seasonal rainfall forecasting: A seasonal auto-regressive integrated moving average model with outlier adjustments for Ghana's Western Region

Scientific African
Accurate rainfall forecasting is essential for agricultural planning, water resource management, and disaster preparedness, particularly in regions with variable weather patterns, such as Ghana's Western Region.
Francis Ayiah-Mensah, Senyefia Bosson-Amedenu, Emmanuel Mensah Baah, John Awuah Addor   +3 more
doaj   +1 more source

When indemnity insurance fails: Parametric coverage under binding budget and risk constraints

Journal of Risk and Insurance, EarlyView.
Abstract In high‐risk environments, traditional indemnity insurance is often unaffordable or ineffective, despite its well‐known optimality under expected utility. We compare excess‐of‐loss indemnity insurance with parametric insurance within a common mean‐variance framework, allowing for fixed costs, heterogeneous premium loadings, and binding budget ...
Benjamin Avanzi, Debbie Kusch Falden, Mogens Steffensen   +2 more
wiley   +1 more source

Papers and transactions of the Actuarial Society of America.

, 1891
First part called: History of the foundation of the Actuarial Society of America; second part called: Papers.Mode of access ...
Actuarial Society of America.
core  

First steps into actuarial mathematics. [PDF]

, 2014
The purpose of this work is the description of actuarial mathematics in more common way for students of secondary school. With the basic topic – life insurance – we want them to take a look at a small part of big actuarial world.
Sinkutė, Donalda,
core  

THE ROLE AND SIGNIFICANCE OF THE CREDIBILITY THEORY IN ACTUARIAL PRACTICE

Pravo, 2014
Actuarial science is based on the use of financial and statistical models and depends on the practical framework, starting from the operation of the insurance market through the accounting system and the available data.
Nataša Papić Blagojević, Nenad Stefanović   +1 more
doaj  

Evaluating machine learning models for neonatal mortality prediction in data-scarce settings: a case study of Ghana

Journal of Electrical Systems and Information Technology
Neonatal mortality is a persistent challenge in low-resource countries, including Ghana, where achieving the Sustainable Development Goal (SDG) 3.2.2 target by 2030 requires effective forecasting strategies.
Francis Ayiah-Mensah, Govinda Das Yankah, Senyefia Bosson-Amedenu, Emmanuel Ayitey, Issaka Sulemana   +4 more
doaj   +1 more source

Special Issue “Interplay Between Financial and Actuarial Mathematics II”

Risks
Dear Reader, [...]
Corina Constantinescu, Julia Eisenberg
doaj   +1 more source

Fairness‐aware insurance pricing: A multi‐objective optimization approach

Journal of Risk and Insurance, EarlyView.
Abstract Machine‐learning models can provide accurate predictions in insurance pricing, but can also increase disparities between protected groups. Existing fairness‐aware pricing approaches typically target one fairness notion at a time, making it difficult to compare trade‐offs between predictive accuracy, group fairness, individual fairness, and ...
Tim J. Boonen, Xinyue Fan, Zixiao Quan
wiley   +1 more source