|
|
Estimations of risk with respect to monthly horizon based on the two-year time series
Myšičková, Ivana ; Houfková, Lucia (advisor) ; Zichová, Jitka (referee)
The thesis describes commonly used measures of risk, such as volatility, Value at Risk (VaR) and Expected Shortfall (ES), and is tasked with creating models for measuring market risk. It is concerned with the risk over daily and over monthly horizons and shows the shortcomings of a square-root-of-time approach for converting VaR and ES between horizons. Parametric models, geometric Brownian motion (GBM) and GARCH process, and non-parametric models, historical simulation (HS) and some its possible improvements, are presented. The application of these mentioned models is demonstrated using real data. The accuracy of VaR models is proved through backtesting and the results are discussed. Part of this thesis is also a simulation study, which reveals the precision of VaR and ES estimates.
|
|
|
Estimations of risk with respect to monthly horizon based on the two-year time series
Myšičková, Ivana ; Houfková, Lucia (advisor) ; Pešta, Michal (referee)
The thesis describes commonly used measures of risk, such as volatility, Value at Risk (VaR) and Expected Shortfall (ES), and is tasked with creating models for measuring market risk. It is concerned with the risk over daily and over monthly horizons and shows the shortcomings of a square-root-of-time approach for converting VaR and ES between horizons. Parametric models, geometric Brownian motion (GBM) and GARCH process, and non-parametric models, historical simulation (HS) and some its possible improvements, are presented. The application of these mentioned models is demonstrated using real data. The accuracy of VaR models is proved through backtesting and the results are discussed. Part of this thesis is also a simulation study, which reveals the precision of VaR and ES estimates.
|
|
|
Estimations of risk with respect to monthly horizon based on the two-year time series
Myšičková, Ivana ; Houfková, Lucia (advisor) ; Pešta, Michal (referee)
The thesis describes commonly used measures of risk, such as volatility, Value at Risk (VaR) and Expected Shortfall (ES), and is tasked with creating models for measuring market risk. It is concerned with the risk over daily and over monthly horizons and shows the shortcomings of a square-root-of-time approach for converting VaR and ES between horizons. Parametric models, geometric Brownian motion (GBM) and GARCH process, and non-parametric models, historical simulation (HS) and some its possible improvements, are presented. The application of these mentioned models is demonstrated using real data. The accuracy of VaR models is proved through backtesting and the results are discussed. Part of this thesis is also a simulation study, which reveals the precision of VaR and ES estimates.
|
|
|
Stress tests conducted by Czech National Bank and market risk modelling in big Czech banks
Fedynets, Yuriy ; Šedivý, Jan (advisor) ; Dvořák, Michal (referee)
This bachelor thesis deals with bank stress testing practices and risk modelling, risk measurement and risk management in banking sector. The theoretical part is focused on definition and description of different types of market risk, models and instruments used for their measurement, regulation, explanation of the nature of stress tests and their further classification. Output of the practical part includes analysis of stress tests conducted by Czech National Bank in recent years and their comparison with reality, replication of VaR calculation of the foreign exchange instruments of the real banking portfolio and measurement of the impact of the adverse market events on the banks financial situation.
|
|
|
McCallum´s rule in the Czech Republic
Wolf, Vojtěch ; Potužák, Pavel (advisor) ; Maršál, Aleš (referee)
This thesis examines whether the McCallum´s rule, which targets nominal GDP using the monetary base as its instrument, would be more successful in achieving the goal of smoother path of nominal GDP with inflation staying on target, had it been in place of the actual historical monetary policy in the Czech Republic. To assess the performance of McCallum´s rule, I calculate simulated paths for nominal GDP and money base, using counterfactual simulation method. The results suggest that, compared to the historical monetary policy, the rule would not be able to secure a smoother path of nominal GDP and would bring only a slight improvement in the central bank´s ability to keep average inflation on its target. These results are not convincing enough to support a decision in favor of replacing the current regime of inflation targeting with nominal GDP targeting regime based on McCallum´s rule. Even so, it would be possible to use the rule under the current regime as a benchmark or a monitoring tool for assessing the stance of monetary policy.
|
|
|
Estimations of risk with respect to monthly horizon based on the two-year time series
Myšičková, Ivana ; Houfková, Lucia (advisor) ; Zichová, Jitka (referee)
The thesis describes commonly used measures of risk, such as volatility, Value at Risk (VaR) and Expected Shortfall (ES), and is tasked with creating models for measuring market risk. It is concerned with the risk over daily and over monthly horizons and shows the shortcomings of a square-root-of-time approach for converting VaR and ES between horizons. Parametric models, geometric Brownian motion (GBM) and GARCH process, and non-parametric models, historical simulation (HS) and some its possible improvements, are presented. The application of these mentioned models is demonstrated using real data. The accuracy of VaR models is proved through backtesting and the results are discussed. Part of this thesis is also a simulation study, which reveals the precision of VaR and ES estimates.
|
|
|
Risks of using VaR models for portfolio management
Antonenko, Zhanna ; Stádník, Bohumil (advisor) ; Vacek, Vladislav (referee)
The diploma thesis Risks of using VaR models for portfolio management is focused on estimation of the portfolio VaR using basic and modified methods. The goal of this thesis is to point out some weakness of the basic methods and to demonstrate the estimation of VaR using improved methods to overcome these problems. The analysis will be perform theoretically and in practice. Only market risk will be the subject of the study. Several simulation and parametric methods will be introduced.
|
|
|
Business risks in insurance and their quantification
Szarková, Lucia ; Ducháčková, Eva (advisor) ; Oborilová, Mária (referee)
Diploma thesis Business risks in insurance and their quantification describes the business risks to which insurance companies are exposed in their activities. Thesis is focused on market risk and quantification of market risk in insurance companies. It includes determination of the specifications for the activities of insurance companies, regulation and characteric of business risks in insurance. Large part of the thesis deals with the method of Value at Risk as a tool to measure market risk as well as individual methods to calculate it. In the conclusion, thesis describes the processes of quantification of market risk in Generali PPF Holding and in Česká poisťovňa, which gives a practical insight into the issues of market risk in insurance companies.
|
|
|
Value at Risk: Historical simulation, variance covariance method and Monte Carlo
Felcman, Adam ; Málek, Jiří (advisor) ; Stádník, Bohumil (referee)
The diploma thesis "Value at Risk: Historical simulation, variance covariance method and Monte Carlo" aims to value the risk which real bond portfolio bears. The thesis is decomposed into two major chapters: Theoretical and Practical chapters. The first one speaks about VaR and conditional VaR theory including their advantages and disadvantages. Moreover, there are described three basic methods to calculate VaR and CVaR with adjustments to each method in order to increase the reliability of results. The last chapter brings results of VaR and CVaR computation. Many graphs, tables and images are added to the result section in order to make the outputs more visible and well-arranged.
|
guest ::
