Vymezení CDO jako samostatného druhu sekuritizace a porovanání se sekuritizaci tradiční. Vymezení základních parametrů (kreditní struktura, účel vytvoření, struktura tranší, podkladová aktiva), které charakterizují CDO a systematizace CDO dle uvedených parametrů. Vysvětlení specifik vybraných struktur (Cash Flow, Market Value, Syntetická CDO) a rizik s nimi spojených. Popis kolaterálu a specifik struktury Structured Finance CDO.

Cette thèse de doctorat s’articule en trois chapitres. Le premier chapitre s’attache à trouver les déterminants principaux des variations hebdomadaires des marges de CDS, en période normale. Le deuxième chapitre se concentre, quant à lui, sur le comportement des marges de CDS dans les situations extrêmes. Nous exploitons dans ce chapitre les outils couramment employés dans l’analyse du risque systémique (CoVaR et régression quantile). Le troisième et dernier chapitre s’intéresse à l'impact des modifications de notations émises par les agences de rating (sur les marges de CDS). Nous procédons ici à une étude d’événements. Ces trois chapitres, de nature empirique, analysent donc, sous des angles différents. Ils insistent aussi dans leur interprétation sur la dimension sectorielle du marché des CDS. Bien que conçus séparément et indépendamment; les résultats de ces chapitres apparaissent, pour l’essentiel, assez cohérents. Ainsi, dans le premier chapitre, une série d’analyses en composantes principales menées sur les marges de CDS indiquent que le « secteur » constitue un facteur important. Dans le deuxième chapitre, les résultats fournis par la mesure de risque systémique appelée CoVaR suggèrent aussi que les secteurs dirigent le comportement des CDS individuels dans les moments extrêmes. / This thesis examines in three empirical essays levels and changes of CDS spread related to largest European companies. In the first chapter, we aim at identifying most important variables that drive CDS spreads in normal market conditions We suggest a list of new microeconomic variables and we find there exist some remaining sector wide common factors. In chapter two, we examine credit risk spillovers of CDS and equity markets under extreme conditions. To this end, we implement among other the very recent CoVaR technology of related entities. We also find here indirect evidences that sectors govern the behavior of individual CDS. In chapter three, we finally undertake a number of event studies on CDS and Equity daily data making use of hand-collected credit rating changes. Among other things, we evidence that both CDS spreads and equity prices move as the rating changes but also that movements differ according to upgrades, downgrades, succession and turnovers.

In this thesis, we study how sovereign credit default swaps are able to measure systemic risk as well as how they can be used to construct optimal portfolios to minimize risk. We define the clustering coefficient as a proxy for systemic risk and design an optimization problem with the goal of minimizing the mean absolute deviation of the clustering coefficient on a group of nine European countries. Additionally, we define a metric we call the diversity score that measures the diversification of any given portfolio. We solve this problem for a baseline set of parameters, then spend the remainder of the thesis modifying these parameters to investigate how the optimal solution and diversity score are impacted.

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No / Based on a reduced-form model of credit risk, we explore statistical arbitrage opportunities in the CDS spreads of North American companies. Specifically, we develop a trading strategy using the model to trade market-neutral portfolios while controlling for realistic transaction costs. Empirical results show that our arbitrage strategy is of significant economic value, and also cast doubt on the efficiency of the CDS market. The aggregate returns of the trading strategy are positively related to the square of market-wide credit and liquidity risks, indicating that the market is less efficient when it is more volatile.

Yes / Based on a reduced-form model of credit risk, we explore mispricing in the CDS spreads of North American companies and its economic content. Specifically, we develop a trading strategy using the model to trade out of sample market-neutral portfolios across the term structure of CDS contracts. Our empirical results show that the trading strategy exhibits abnormally large returns, confirming the existence and persistence of a mispricing. The aggregate returns of the trading strategy are positively related to the square of market-wide credit and liquidity risks, indicating that the mispricing is more pronounced when the market is more volatile. When implemented on the Markit data, the strategy shows significant economic value even after controlling for realistic transaction costs.

In the thesis we perform analysis of systemic risk in the financial and energy sector in Europe. As the econometric tool for estimating dependencies across the subjects we employ factor copula model with GAS dynamics of Oh & Patton (2013b). We apply this model to daily CDS spreads. Based on the estimated results we perform Monte Carlo simulations in order to obtain future values of CDS spreads and measure probability of systemic events. We conclude that substantially higher systemic risk is present within the financial sector. We also find that the most systemic companies from both sectors come from Spain. JEL Classification C53, C55, C58, G17 Keywords Credit Default Swap, Energy Sector, Factor Copula, Financial Sector, Generalized Autore- gressive Score Model, Systemic Risk Author's e-mail matej.nevrla@gmail.com Supervisor's e-mail barunik@fsv.cuni.cz

Die vorliegende Dissertation besteht aus drei Kapiteln über die Investmentfonds. Das erste Kapitel befasst sich mit der Rolle der Fondsmanager in der Bilanzverschönerung. Auf Basis der Analyse der Karrierewege von amerikanischen Fondsmanagern werden signifikante zusammenwirkende Manager-Fixed-Effects identifiziert, die nach der Kontrolle der endogenen Matching-Probleme immer noch robust sind. Die geschätzten Manager-Fixed-Effects haben signifikante Einflüsse auf die Out-of-Sample-Vorhersagen. Außerdem wird festgestellt, dass die Verriegelungen der Investmentfonds, die von gemeinsamen Managern verwaltet wurden, wichtige Kanäle für die Bilanzverschönerung verursachen. Das zweite Kapitel beschäftigt sich mit den Investmentstrategien der Fonds im Hinblick auf die Nutzung von Credit Default Swaps (CDS). Die Zuordnung der CDS-Positionen der Investmentfonds zu ihrem Bestandportfolio bietet eine neue Methodik zur Identifizierung der CDS-Strategien und kompensiert somit die Analysen der existierenden Literatur auf der Makroebene. Die Ergebnisse zeigen, dass die Anreize zur Risikoreduzierung die Spekulationsanreize dominieren, insbesondere, wenn die Kreditexposition durch ungedeckte Leerverkäufe der CDS-Verträge erhöht wird. Die erfahrenen Fondsmanager tendieren dazu, mehr Kreditrisiko in Kauf zu nehmen, während es für die Fondsmanagerinnen wahrscheinlicher als für ihre männlichen Kollegen ist, gegen das bestehende Risiko abzusichern. Der letzte Teil nimmt die Pleite von Lehman Brothers unter die Lupe, um sich mit der daraus resultierenden unerwarteten Schließung der CDS-Positionen als einem natürlichen Experiment auseinanderzusetzten. Diese Studie dient zur Untersuchung der Risiko- und Leistungsimplikationen der CDS-Investments der Fonds. Die Investmentfonds besitzen bei ihren CDS-Transaktionen im Durchschnitt einen beachtlichen Teil Extremrisiko. Während die CDS-Nutzer von guten Gesamtmarktlagen profitieren, erleiden sie unter Verlusten bei geclusterten Ausfällen. / This dissertation comprises of three chapters on mutual funds. The first chapter establishes the role of managers in the deceptive practice of window dressing. Employing comprehensive career history of U.S. mutual fund managers, I find strong jointly significant manager fixed effects, which are robust after addressing endogenous matching concerns. The estimated manager fixed effects are significant in making out-of-sample predictions. Further I establish that mutual fund interlocks through common managers are important channels that spread window dressing. The second chapter studies the investment strategies of mutual funds regarding their use of credit default swaps (CDS). Matches between mutual funds’ CDS positions and their underlying portfolio in the holdings facilitate a new approach in identifying CDS strategies that complements the “macro” level analyses in the existing literature. I find risk reducing incentives are dominated by speculative incentives, especially those to increase credit exposure via naked short CDS contracts. Experienced fund managers tend to take on more credit risk, while female managers are more likely to hedge comparing with their male peers. The third chapter employs the collapse of Lehman Brothers and the resulting sudden closures of CDS positions as a natural experiment to examine the risk and performance implications of mutual funds’ CDS investments. Funds on average load up on a significant amount of tail risk by trading CDS. While CDS users benefit when market conditions are favorable, they suffer during periods of clustered defaults.

Cette thèse de doctorat composée de trois chapitres contribue au développement de la problématique sur la sélection de modèle de volatilité de type GARCH. Le premier chapitre propose une étude de simulation sur la sélection de modèles dans le cadre spécifique des modèles à changement de régimes. On propose des expériences de simulation permettant de mettre en évidence l'inefficacité des critères de sélection usuels dans des cas particuliers, ce qui peut conduire à des erreurs de spécification lors du choix de modèle. Le deuxième chapitre propose un test du multiplicateur de Lagrange de mauvaise spécification dans les modèles GARCH univariés. L'hypothèse nulle admet que le processus générateur des données est un modèle GARCH linéaire tandis que sous l'hypothèse alternative il correspond à une forme fonctionnelle inconnue qui est linéarisée à l’aide d’un développement de Taylor. On illustre le test dans une application empirique sur les taux de change. Le dernier chapitre étudie l'impact du prix du pétrole sur les spreads de Credit Default Swaps souverains de deux pays exportateurs de pétrole: le Vénézuela et la Russie. Utilisant des données récentes, nous trouvons que les rendements du prix du pétrole impactent les spread de CDS souverains du Vénézuela directement alors que cela passe par le canal du taux de change pour la Russie. Ce chapitre emploie des méthodes statistiques avancées, notamment l'utilisation de modèles à changement de régimes Markoviens. Finalement, l'appendice propose le manuel de la toolbox MSGtool (Matlab) qui propose une collection de fonctions pour l'étude des modèles à changement de régimes Markoviens. La toolbox est très user-friendly. / This Ph.D. thesis composed by three chapters contributes to the development of model selection in GARCH-type models.The first chapter investigates whether the most common selection criteria lead to choose the right specification in a regime switching framework. We propose simulation experiments which reveal the inefficiency of some selection criteria in particular cases which lead to misspecification. Depending on the Data Generating Process used in the experiments, great care is needed when choosing a criterion.In the second chapter, a misspecication test for GARCH-type models is presented. We propose a Lagrange Multiplier type test based on a Taylor expansion to distinguish between (G)ARCH models and unknown nonlinear GARCH-type models. This test can be seen as a general misspecication test. We investigate the size and the power of this test through Monte Carlo experiments. We show the usefulness of our test with an illustrative empirical example based on daily exchange rate returns.In the third chapter, we study the impact of oil price returns on sovereign Credit Default Swaps (CDS) spreads for two major oil producers, Russia and Venezuela. Using daily spreads from 2008 to 2015, we find that crude oil price returns are a critical determinant of Venezuela CDS spreads changes, but does not explain significantly Russian CDS spreads. Indeed, oil prices seem to impact Russian CDS spreads through the exchange rates canal. Finally, we propose as an appendix the manual of the MSGtool, a MATLAB toolbox, which provides a collection of functions for the simulation and estimation of a large variety of Markov Switching GARCH (MSG) models.