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Some quantitative aspects of life annuities
Šťástka, Petr ; Cipra, Tomáš (advisor) ; Mazurová, Lucie (referee)
The aim of this diploma thesis is describe the most common methods of financing pension plans, focusing on some of the methods of fund financing pension plans. To describe the individual methods, their numerical illustration and allow comparison, it is necessary to dispose of necessary instruments. Therefore in the thesis there are constructed the cohort life tables for the Czech Republic. The thesis also deals with the modelling life annuities in continuous time, in particular, with the shape of im- mediate pension anuity factor for Gompertz law of mortality. Namely, this factor is one of the parameters entering the calculation of the individual methods of fund fi- nancing for pension plans.
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Generalized Linear Models in Insurance
Staněk, Petr ; Mazurová, Lucie (advisor) ; Pešta, Michal (referee)
In the present thesis we study Generalized linear mo- dels with their application in the insurance. Our specifiation is in using Poisson and Binomial distribution. Our goal is application of the theoretical knowledge in the vehicle insurace, claim reserving and survival model. Keywords: Link, linear predictor, response variable, explanatory variable, likelihood function, quasilikelihood function, deviance, re- ziduals, survival model, run-off triangle, canonical link, Poisson dis- tribution, binomial distribution, dispersion parameter, variance func- tion. 1
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Stochastic modelling of mortality development
Škerlík, Peter ; Mazurová, Lucie (advisor) ; Branda, Martin (referee)
In the presented diploma thesis we study possibilities of forecasting mortality rates and we explain the most used models to measure it. The longevity and mortality risk are characterized and options for transfer of risks to other subjects are suggested. Further we applied LifeMetrics tool to predict mortality and quantify longevity risk in our data set, also possibilities of its usage are described in more details. The aim of the work is to provide the reader with sufficient amount of theoretical information about the used stochastic models for mortality prediction. Also the work may be helpful to gain deeper knowledge about longevity risk.
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Operational risk modelling
Mináriková, Eva ; Mazurová, Lucie (advisor) ; Hlubinka, Daniel (referee)
In the present thesis we will firstly familiarize ourselves with the term of operational risk, it's definition presented in the directives Basel II and Solvency II, and afterwards with the methods of calculation Capital Requirements for Operational Risk, set by these directives. In the second part of the thesis we will concentrate on the methods of modelling operational loss data. We will introduce the Extreme Value Theory which describes possible approaches to modelling data with significant values that occur infrequently; the typical characteristic of operational risk data. We will mainly focus on the model for threshold exceedances which utilizes Generalized Pareto Distribution to model the distribution of those excesses. The teoretical knowledge of this theory and the appropriate modelling will be applied on simulated loss data. Finally we will test the ability of presented methods to model loss data distributions.
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Double chain ladder
Perichtová, Margaréta ; Pešta, Michal (advisor) ; Mazurová, Lucie (referee)
This thesis deals with one of the biggest problems in non-life insurance and that is forecasting outstanding claims liabilities. Chain ladder method is probably the most often used method for estimating outstanding liabilities. Firstly, we show classic chain ladder method and its deterministic and stochastic form. Secondly, we introduce relatively new method, double chain ladder method which comes from chain ladder method, but in addition it considers number of reported claims, that allow us to count RBNS reserve more precisely and also to count IBNR and RBNS reserves separately. In the end we apply both methods on the real data. We compute point estimate of the reserve by chain ladder method and by double chain ladder method and compare the results. Powered by TCPDF (www.tcpdf.org)
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Variable life annuity
Šimlovič, Matej ; Mazurová, Lucie (advisor) ; Cipra, Tomáš (referee)
In the first chapter, the thesis contains a description of variable annuity and description of four basic guarantees: guaranteed minimum death benefit, guaranteed minimum accumulation benefit, guaranteed minimum income bene- fit and guaranteed minimum withdrawal benefit. For each of these guarantees, there is a description of principle of the benefit, assumptions of payment, amount of payment and a difference from a product without such guarantee, thus a net benefit from the guarantee. In the second chapter, with additional assumptions, there are deductions of expected values of benefits from the described guaran- tees and numerical calculation of these expected values for both genders, various entering ages and various investment variables. 1
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Financing post-retirement income
Skřivanová, Zuzana ; Mazurová, Lucie (advisor) ; Cipra, Tomáš (referee)
This thesis deals with various possibilities of the financing post-retirement income. In the first part, the basic knowledge from the area of demography is given, what is necessary for the determination of mortality assumptions and for the computation of cash flows in post-retirement age. Subsequently models of decumulation periods are theoretically compared - the basic variants are purchasing of life annuity and annuity-certain, from which are derived selected combinations and modifications. In the last part, theoretical bases are used to determining specific mortality assumptions with respect to the computed values of parameters of the Gompertz-Makeham mortality law. Subsequently cash flows of particular models are numerically illustrated with respect to the mortality assumptions.
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Multi - event Bonus - Malus System
Kaplanová, Martina ; Mazurová, Lucie (advisor) ; Branda, Martin (referee)
This work deals with bonus - malus systems for automobile insurance that distinguishtypes of claim. The first part of this work is definition of bonus - malus systems that do not distinguish types of claim and then their expansion just to multi - event bonus - malus systems. The main focus of the work is computation of stationary distribution for different systems, which means the distribution of classes in which the system stabilizes. Furthermore, there are several simulations of trajectory of insured through the system based on the number and type of accidents that they have caused. Finally, relative frequencies of classes in which insured is at the end of the simulation and the stationary distribution of the system are compared. Powered by TCPDF (www.tcpdf.org)
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Modern stochastic claims reserving methods in insurance and their comparison
Vosáhlo, Jaroslav ; Pešta, Michal (advisor) ; Mazurová, Lucie (referee)
This thesis deals with an issue of claims reserving for non-life insurance. The issue is approached in a sense of analytical calculation and stochastic modelling. First, Chain-ladder, Bornhuetter-Ferguson, Benktander-Hovinen and Cape-Cod method are introduced. In following chapters, we try to find related stochastic underlying models including Generalized linear models and Mack's distribution-free approaches, we analyze second moments of claims estimates for each of the methods and examine alternative Merz-Wüthrich approach to reserve risk measurement. At the end, bootstrap algorithm and estimates are suggested and simulation results are compared with analytic ones.
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Extreme Value Theory in Actuarial Sciences
Jamáriková, Zuzana ; Mazurová, Lucie (advisor) ; Antoch, Jaromír (referee)
This thesis is focused on the models based on extreme value theory and their practical applications. Specifically are described the block maxima models and the models based on threshold exceedances. Both of these methods are described in thesis theoretically. Apart from theoretical description there are also practical calculations based on simulated or real data. The applications of block maxima models are focused on choice of block size, suitability of the models for specific data and possibilities of extreme data analysis. The applications of models based on threshold exceedances are focused on choice of threshold and on suitability of the models. There is an example of the model used for calculations of reinsurance premium for extreme claims in the case of nonproportional reinsurance.
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