immediate impact on mortality rates. The recent COVID-19 pandemic has demonstrated that these events should not be treated as … nonrepetitive exogenous interventions. Therefore, mortality models incorporating jump effects are particularly important to capture … the adverse mortality shocks. The mortality models with jumps, which we consider in this study, differ in terms of the …

In this paper, we present extensions of the Hatzopoulos-Sagianou (2020) (HS) multiple-component stochastic mortality … linear models, and diverse distributions in the model’s estimation method. In this work, we differentiate the HS approach by … modelling the number of deaths using the Binomial model commonly employed in the literature of mortality modelling. Given this …

Human mortality has been improving faster than expected over the past few decades. This unprecedented improvement has … been observed in historical mortality data. In this paper, we investigate the applicability of four nonlinear time … conditional heteroskedasticity model for mortality data. By analyzing the mortality data from England and Wales and Italy spanning …

We introduce an additive stochastic mortality model which allows joint modelling and forecasting of underlying death … causes. Parameter families for mortality trends can be chosen freely. As model settings become high dimensional, Markov chain … Monte Carlo (MCMC) is used for parameter estimation. We then link our proposed model to an extended version of the credit …

individually. We present the conditional maximum likelihood estimation (MLE) method for fitting asset price processes to empirical … properties of the proposed model, its parameter estimation using the MLE method and least-squares technique, the evaluation of … estimation and evaluation methodologies. Computational results are compared with Monte Carlo estimates. …

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 mortality forecasting can quantify mortality and longevity risks. There is an abundance of literature on the topic of …