National Repository of Grey Literature 140 records found  previous11 - 20nextend  jump to record: Search took 0.00 seconds. 
Kreditní přirážka k tržnímu ocenění: přístupy k výpočtu a modelování
Mlej, Peter ; Witzany, Jiří (advisor) ; Myška, Petr (referee)
In this work we are introducing a risk neutral valuation formula for counterparty default risk adjustments in an unilateral and in a bilateral case. In the unilateral case the adjustment is represented by a Credit Valuation Adjust- ment(CVA) and in the bilateral case the adjustment is quantified by a Bilateral Risk Adjustment(BVA). We are incorporating these adjustments into the values of zero coupon bonds, coupon bearing bonds and interest rate swaps. For such an incorporation, risk neutral default probabilities extracted from the market quotes of Credit Default Swaps are needed. A Bootstrap method is used to derive them and a reduced form approach is used to model the default times. In the practical part, we are calculating Greek and Czech risk neutral default probabilities during the years 2008-2010. We are calculating CVA for 18 quoted Greek government bonds and we are comparing the adjusted prices with the market quoted prices of these bonds. We study the impact of a risk free interest rate curve choice on such a valuation. In the last sections, we construct an interest rate swap between the Czech and the Greece. We compute and study CVA and BVA for this interest rate swap.
Interest Rate Risk and Liquidity Risk of Banking Books in the Czech Republic
Džmuráňová, Hana ; Tůma, Zdeněk (advisor) ; Tripe, David (referee) ; Witzany, Jiří (referee) ; Kotlán, Viktor (referee)
Univerzita Karlova v Praze Fakulta sociálních věd Institut ekonomických studií Název disertační práce/ Dissertation title Interest Rate Risk and Liquidity Risk of Banking Books in the Czech Republic Anglický překlad / Title in English Interest Rate Risk and Liquidity Risk of Banking Books in the Czech Republic Autor/ka/ Author Mag. Hana Džmuráňová Rok zpracování/ Year 2021 Školitel / Advisor Doc. Ing. Zdeněk Tůma CSc. Počet stran / No. of pages 197 Abstract in English The thesis Interest Rate Risk and Liquidity Risk of Banking Books in the Czech Republic deals with the management of interest rate risk and liquidity risk stemming from the core banking system purpose - the maturity transformation. Across five articles, we provide comprehensive theoretical description, regulatory background, and develop models for embedded behavioural options of client products such as non-maturity deposits, with special focus on savings accounts in the Czech Republic in one of our case studies, or loans with prepayment option. We apply our models on the major Czech and Slovak banks and we calculate the exposure of those banks to interest rate risk in terms of regulatory guidelines. We derive that all banks in our analysis are positioned to benefit when interest rates increase as demand deposits like current accounts are...
Essays in Empirical Financial Economics
Žigraiová, Diana ; Jakubík, Petr (advisor) ; Witzany, Jiří (referee) ; Teplý, Petr (referee) ; Gächter, Martin (referee)
This dissertation is composed of four essays that empirically investigate three topics in financial economics; financial stress and its leading indicators, the relationship between bank competition and financial stability, and the link between management board composition and bank risk. In the first essay we examine which variables have predictive power for financial stress in 25 OECD countries, using a recently constructed financial stress index. We find that panel models can hardly explain FSI dynamics. Although better results are achieved in country models, our findings suggest that financial stress is hard to predict out-of- sample despite the reasonably good in-sample performance of the models. The second essay develops an early warning framework for assessing systemic risks and predicting systemic events over two horizons of different length on a panel of 14 countries. We build a financial stress index to identify the starting dates of systemic financial crises and select crisis-leading indicators in a two-step approach; we find relevant prediction horizons for each indicator and employ Bayesian model averaging to identify the most useful predictors. We find superior performance of the long-horizon model for the Czech Republic. The theoretical literature gives conflicting predictions on how bank...
Essays in Empirical Financial Economics
Žigraiová, Diana ; Jakubík, Petr (advisor) ; Witzany, Jiří (referee) ; Teplý, Petr (referee) ; Gächter, Martin (referee)
This dissertation is composed of four essays that empirically investigate three topics in financial economics; financial stress and its leading indicators, the relationship between bank competition and financial stability, and the link between management board composition and bank risk. In the first essay we examine which variables have predictive power for financial stress in 25 OECD countries, using a recently constructed financial stress index. We find that panel models can hardly explain FSI dynamics. Although better results are achieved in country models, our findings suggest that financial stress is hard to predict out-of- sample despite the reasonably good in-sample performance of the models. The second essay develops an early warning framework for assessing systemic risks and predicting systemic events over two horizons of different length on a panel of 14 countries. We build a financial stress index to identify the starting dates of systemic financial crises and select crisis-leading indicators in a two-step approach; we find relevant prediction horizons for each indicator and employ Bayesian model averaging to identify the most useful predictors. We find superior performance of the long-horizon model for the Czech Republic. The theoretical literature gives conflicting predictions on how bank...
Essays in Empirical Financial Economics
Žigraiová, Diana ; Jakubík, Petr (advisor) ; Witzany, Jiří (referee) ; Teplý, Petr (referee) ; Gächter, Martin (referee)
This dissertation is composed of four essays that empirically investigate three topics in financial economics; financial stress and its leading indicators, the relationship between bank competition and financial stability, and the link between management board composition and bank risk. In the first essay we examine which variables have predictive power for financial stress in 25 OECD countries, using a recently constructed financial stress index. We find that panel models can hardly explain FSI dynamics. Although better results are achieved in country models, our findings suggest that financial stress is hard to predict out-of- sample despite the reasonably good in-sample performance of the models. The second essay develops an early warning framework for assessing systemic risks and predicting systemic events over two horizons of different length on a panel of 14 countries. We build a financial stress index to identify the starting dates of systemic financial crises and select crisis-leading indicators in a two-step approach; we find relevant prediction horizons for each indicator and employ Bayesian model averaging to identify the most useful predictors. We find superior performance of the long-horizon model for the Czech Republic. The theoretical literature gives conflicting predictions on how bank...
Credit Derivatives Market during Recent Financial Crisis
Buzková, Petra ; Teplý, Petr (advisor) ; Tripe, David (referee) ; Witzany, Jiří (referee) ; Dědek, Oldřich (referee)
The dissertation is composed of three empirical research papers analyzing the development on credit derivatives markets in recent years characterized by the global financial crisis in 2007- 2009 and subsequent European sovereign debt crisis. The basic motivation of the thesis is to contribute to the clarification of the turbulent development on credit derivatives markets. The first paper addresses main flaws of a collateralized debt obligation (CDO) market during the global financial crisis. The second paper examines the impact of the Greek debt crisis on sovereign credit default swap (CDS) reliability. The third paper analyzes whether a resulting change in CDS terms restored confidence in CDS contracts. An introductory chapter presents a common framework for the three papers. In the first paper, we examine valuation of a Collateralized Debt Obligation (CDO) in 2007- 2009. One Factor Gaussian Copula Model is presented and five hypotheses regarding CDO sensitivity to entry parameters are analyzed. Four main deficiencies of the CDO market are then articulated: i) an insufficient analysis of underlying assets by both investors and rating agencies; ii) investment decisions arising from the valuation model based on expected cash-flows and neglecting other factors such as mark-to-market losses; iii)...
Ensemble learning methods for scoring models development
Nožička, Michal ; Witzany, Jiří (advisor) ; Cipra, Tomáš (referee)
Credit scoring is very important process in banking industry during which each potential or current client is assigned credit score that in certain way expresses client's probability of default, i.e. failing to meet his or her obligations on time or in full amount. This is a cornerstone of credit risk management in banking industry. Traditionally, statistical models (such as logistic regression model) are used for credit scoring in practice. Despite many advantages of such approach, recent research shows many alternatives that are in some ways superior to those traditional models. This master thesis is focused on introducing ensemble learning models (in particular constructed by using bagging, boosting and stacking algorithms) with various base models (in particular logistic regression, random forest, support vector machines and artificial neural network) as possible alternatives and challengers to traditional statistical models used for credit scoring and compares their advantages and disadvantages. Accuracy and predictive power of those scoring models is examined using standard measures of accuracy and predictive power in credit scoring field (in particular GINI coefficient and LIFT coefficient) on a real world dataset and obtained results are presented. The main result of this comparative study is that...
Portfolio Optimization in the German Stock Market
Bastin, Jan ; Musílek, Petr (advisor) ; Witzany, Jiří (referee) ; Budinský, Petr (referee)
The thesis focuses on the equity portfolio management with quantitative methods. We present 3 types of optimization objectives: One tries to find minimum variance portfolios, tangency portfolios and portfolios with maximized expected returns in the German stock market. It is possible to compare those investment opportunities with a market-cap weighted benchmark and an equal weighted portfolio. Expected returns of stocks are estimated with fundamental factor models. Risks of portfolios are estimated with 5 types of covariance matrices: the matrix calculated with historical returns, estimations with the single index model, Fama-French three factors model, fundamental factor model and the shrinkage method. Our results are doubled because of the demonstration of the impact of turnover constraint on portfolio performance measures (transaction costs are included in our calculations). One can see that optimized portfolios had attractive risk-return measures in the period 2005 - 2015. Benchmark and equal weighted portfolios were dominated and we consider them to be inefficient investments in our test.
Impacts of new regulatory requirements for market risk
Vojkůvka, Adam ; Witzany, Jiří (advisor) ; Brodani, Jana (referee)
The aim of this master thesis is analyze the impact of new regulatory requirements for market risk in terms of internal approach of the selected portfolio. The first part deals with the definition and calculation methods of risk measures Value at Risk and Expected Shortfall. Furthermore, this part is dedicated to model backtesting and determination of the stress period. The second part describes the development of Basel I-III regulatory requirements for market risk with a focus on internal approaches. The third part focuses on the calculation and subsequent analysis of current and new regulatory reguirements for market risk using the historical simulation method, variance and covariance method and Monte Carlo simulation.

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