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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Stochastic Loss Reserving Models
 Košová, Nataša ; Justová, Iva (advisor) ; Cipra, Tomáš (referee)
In present thesis we study and describe a stochastic loss reserve model for individual insurers. Specifically, it is the model based on the three following features. Modelling of expected claims depends on unknown parameters which estimates need to be the most accurate. Aggregated occurred and paid losses for particular years are modelled by a collective risk model. The final reserve is estimated by Bayesian methodology that uses a prior information from a significant number of insurers. Part of the thesis is also an implementation of the program that calculates reserves by using our model and its testing on simulated data.
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Run-off Triangles in Non-life Insurance
 Kozlová, Alena ; Bílková, Diana (advisor) ; Šroller, Vít (referee)
The thesis is about the arrangement of the last known claim values into the run-off triangle. This diagram is used in non-life insurance, mainly in methods for calculating technical claims reserves. Individual methods will be described in detail and consecutively applied on real data. The real data are a set of data with long tail. We are differentiating between easier deterministic and stochastic methods, which are more demanding for calculation. The results will be compared by basic statistical parameter of the analyzed data and at the end the best method will be chosen for the data.
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