National Repository of Grey Literature 14 records found  previous11 - 14  jump to record: Search took 0.01 seconds. 
The use of coherent risk measures in operational risk modeling
Lebovič, Michal ; Teplý, Petr (advisor) ; Doležel, Pavel (referee)
The debate on quantitative operational risk modeling has only started at the beginning of the last decade and the best-practices are still far from being established. Estimation of capital requirements for operational risk under Advanced Measurement Approaches of Basel II is critically dependent on the choice of risk measure, which quantifies the risk exposure based on the underlying simulated distribution of losses. Despite its well-known caveats Value-at-Risk remains a predominant risk measure used in the context of operational risk management. We describe several serious drawbacks of Value-at-Risk and explain why it can possibly lead to misleading conclusions. As a remedy we suggest the use of coherent risk measures - and namely the statistic known as Expected Shortfall - as a suitable alternative or complement for quantification of operational risk exposure. We demonstrate that application of Expected Shortfall in operational loss modeling is feasible and produces reasonable and consistent results. We also consider a variety of statistical techniques for modeling of underlying loss distribution and evaluate extreme value theory framework as the most suitable for this purpose. Using stress tests we further compare the robustness and consistency of selected models and their implied risk capital estimates...
Portfólio Value at Risk a Expected Shortfall s použitím vysoko frekvenčních dat
Zváč, Marek ; Fičura, Milan (advisor) ; Janda, Karel (referee)
The main objective of this thesis is to investigate whether multivariate models using Highfrequency data provide significantly more accurate forecasts of Value at Risk and Expected Shortfall than multivariate models using only daily data. Our objective is very topical since the Basel Committee announced in 2013 that is going to change the risk measure used for calculation of capital requirement from Value at Risk to Expected Shortfall. The further improvement of accuracy of both risk measures can be also achieved by incorporation of high-frequency data that are rapidly more available due to significant technological progress. Therefore, we employed parsimonious Heterogeneous Autoregression and its asymmetric version that uses high-frequency data for the modeling of realized covariance matrix. The benchmark models are chosen well established DCC-GARCH and EWMA. The computation of Value at Risk (VaR) and Expected Shortfall (ES) is done through parametric, semi-parametric and Monte Carlo simulations. The loss distributions are represented by multivariate Gaussian, Student t, multivariate distributions simulated by Copula functions and multivariate filtered historical simulations. There are used univariate loss distributions: Generalized Pareto Distribution from EVT, empirical and standard parametric distributions. The main finding is that Heterogeneous Autoregression model using high-frequency data delivered superior or at least the same accuracy of forecasts of VaR to benchmark models based on daily data. Finally, the backtesting of ES remains still very challenging and applied Test I. and II. did not provide credible validation of the forecasts.
Řízení rizik v komerční pojišťovně
Strýček, Tomáš
The diploma thesis deals with current issues of risk management in a selected insurance company. The thesis is conceptually divided into two parts the literature recherche and the empirical part. The first section introduces the individual risks and the basic methods of the quantification of the risks which affect the functioning of commercial insurances. A new system of European insurance regulation, Solvency II, is also described. The empirical part of the diploma thesis deals with the risk quantification of the selected insurance company according to the standard and internal model. The thesis is concluded with the evaluation of the risk management in the selected insurance company and of the company preparedness for the regulatory regime Solvency II. Based on this quantification, the recommendations are put forward to improve the risk management of the selected insurer.
Postupy homogenizace pojistného kmene
Hrouz, David
This diploma thesis deals with transferring the risk of a insurance company to another subject. The basic requirement is to homogenize the selected insurance portfolio. The amount of capital required is determined by identifying and quantifying the risk. Adjusted indicator of Economic value added (EVA) determines the optimal ratio of the retention and the risk transferred. There are several factors that can affect the amount of the retained risk. The main objective is to determine the amount of the optimal retention itself and select the appropriate type of reinsurance. The recommendation is based on the current development of expenses on insurance claims.

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