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National Repository of Grey Literature

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Actuarial and Exposure-based Models for Hail Peril Drobuliak, Matúš ; Pešta, Michal (advisor) ; Hlubinka, Daniel (referee) Title: Actuarial and Exposure-based Models for Hail Peril Author: Bc. Matúš Drobuliak Department: Department of Probability and Mathematical Statistics Supervisor: RNDr. Michal Pešta, Ph.D., Department of Probability and Mathe- matical Statistics Abstract: This thesis covers an introduction to catastrophe modelling and focuses on statistical methods for extreme events. This includes methods of estimating parameters of claim distribution with a focus on probability weighted moments estimation technique. Furthermore, times series modelling, skew t-distribution, and two model clustering techniques are examined as well. This is later utilised in the practical application part of this thesis, which uses real data provided by an insurance company operating in the Czech Republic. Probability distribution fitting of large claims caused by hailstorms and Monte Carlo simulation of future losses are demonstrated later. Keywords: Catastrophe modelling, Hail peril, Probability weighted moments, Extreme events, ARMA-GARCH, Monte Carlo simulation iii Detailed record

Switzerland as a Safe Haven: Does the Foreign News Matter? Kühnl, David ; Brushko, Iuliia (advisor) ; Hayat, Arshad (referee) David Kühnl, Bachelor Thesis Abstract This thesis investigates the relationship between financial news and Swiss franc exchange rate in the context of Switzerland being safe haven for European investors. We employ the ARMA-GARCH econometric model extended by our custom component called "Floating Returns" to estimate the reaction of the investors to particular financial news. We find out that the bad news lead to significant short-term appreciation of the Swiss franc. Furthermore, we find out that not only the real macroeconomic data but also the investors' expectations are important for exchange rate determination. Finally, our model quantify the reaction to the particular news depending on the expected values and the announced values. 1 Detailed record

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