Credit risk and market risk have already been explored intensively and the reliable models of credit risk and market risk have also been developed progressively. As to financial institution, how to control credit risks and venture capital to count and withdraw the implementation with new Basel capital protocol, will concern the competitiveness of the financial institution. This study try to find a method pricing the CDO (Collateralized Debt Obligation) based on Macroeconomic and financial ratio credit model. For the various approaches to CDO valuation, the most widely accepted is the Copula approach. The Copula approach is considered suitable for describing default correlation. Combining with Monte Carlo Simulation, it can price CDO effectively.

In recent years, issues about credit risk attract more and more attentions. This thesis provides some empirical evidence for the behavior of credit spreads in Taiwan based on a Markov model proposed by Jarrow, Lando, and Turnbull (1997). Although the estimated risk premium adjustments increases as the credit rating level goes downward, it does not exist robust relations between credit yield spreads and credit ratings. Apparently, the model does not fit the real condition well because of some structural factors and limitations. I try to suggest some possible explanations for this phenomenon. Despites some poor performances of this model, these results still offer some directions to reconsider the valuation of straight corporate bonds in Taiwan.

Cette thèse sur travaux empiriques en quatre articles s’intéresse aux déterminants de risque de défaut souverain. Le premier chapitre résume l’état de l’art du risque de défaut souverain et trois principales approches des déterminants du risque de défaut souverain: le modèle structurel, le modèle dynamique stochastique et les modèles économétriques. Le deuxième chapitre étudie la probabilité de défaut de l’Argentine (2002) en utilisant un modèle structurel proposé par Gray and Malone 2008. Le troisième chapitre propose un modèle stochastique afin de calculer le spread du crédit souverain journalier. Les deux derniers chapitres économétriques déterminent deux proxies du risque de défaut souverain: Sovereign CDS spread et Emerging Market Bond Index Plus (EMBI+). Le quatrième chapitre essaye de déterminer le sovereign CDS spread à longterme et court-terme en utilisant trois estimations: Pooled Mean Group, Mean Group et Dynamic Fixed Effect. Dans le dernier chapitre, on applique un modèle non-linéaire asymétrique Autorégressif à retards échelonnés pour étudier l’effet d’asymétrie à longterme de compte courant sur l’EMBI+ y compris les variables explicatives telles que la dette extérieure et les réserves internationales pour deux pays émergents: la Turquie et le Brésil. / This thesis on empirical results in four articles focused on the determinants of the sovereign default risk. The first chapter summarizes the state of the art of sovereign default risk and the three main approaches of determinants of sovereign default risk: the structure model, the dynamic stochastic model and the econometric models. The second chapter studies the default probability in Argentina (2002) by using a structural model proposed by Gray and Malone 2008. The third chapter provides a stochastic model to calculate the daily sovereign credit spread. Last two econometric chapters determine two sovereign default risk proxies: Sovereign CDS spread and Emerging Market Bond Index Plus. The fourth chapter focuses on the sovereign CDS spread in long-run and short-run by using three estimations of Pooled Mean Group, Mean Group and Dynamic Fixed Effect. The last chapter applies a nonliear Autoregressive Distributed Lag asymmetry model to study the long-run asymmetric effect of the current account to the EMBI+ including the explanatory variables such as the external debt and international reserves for the two typical emerging countries Turkey and Brazil.

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This study adopts Markov-switching ARCH model proposed by Hamilton and Susmel (1994) to explore the behavior of credit spreads for different bond ratings. Specifically, this paper examines the properties of credit spreads and the co-movements of spreads among different durations and credit ratings. The consideration of the population makes the outcome more precise. The contribution of this study is to add to the investors a knowledge as to the credit spread behavior and help them understand the lower rating or longer maturity bonds by the observation of the investment-graded bonds while there are more risks and uncertainties conceal in these high yield bonds or D-rated bonds. The conclusion of this paper may help investors understand credit risk management and thus build appropriate portfolios.

Credit spread is the extra risk-reward that an investor is bearing for investing in corporate bonds instead of government bonds. Structural models, which are simple in their framework, fail to explain the occurring credit spread and underestimate the predicted credit spread. Hence, the need for new models and exploration of systematic and idiosyncratic variables arose. The present paper aims to investigate if the predictability of lower-medium investment grade bonds and non-investment grade bonds credit spread can be improved by incorporating systematic and idiosyncratic variables into a fixed effect panel data regression model, and whether the selected variables’ significance has high influence on credit spread or not. Initial results showed that fixed effect panel data regression model underperforms the structural models and under predicts the actual credit spread. The applied model explained 13.5% of the lower-medium investment grade bonds credit spread and 8.5% of non-investment grade bonds. Further, systematic variables have higher influence on lower-medium investment grade bonds and idiosyncratic variables have higher influence on non-investment grade bonds. The predictability of credit spread can be improved by employing correct explanatory variables which are selected based on the characteristics of the sample size.

本篇論文主為信用價差之時間序列研究，及其和違約相關性之間之互動關係研究。發現信用價差之水準值及波動性，都具有兩個明顯不同的狀態期間，另發現信用價差和違約相關系數之間存在正向關係，且信用價差之高低波動狀態和景氣呈現反向變動。 / In this paper, I empirically investigate the dynamics of credit spread with regime switching analysis. The finding exhibits evidence of two distinctive volatility as well as mean regimes for credit spread changes. Moreover, I document (1) that the volatility of credit spread positively corresponds to default correlation and (2) that lower (higher) volatility regimes corresponds to boom (bust) state of economy.

L'objectif de cette thèse est de contribuer à améliorer le calcul de la valorisation des obligations d'entreprise, notamment en essayant de tirer des leçons de la récente crise économique et financière. Afin d'atteindre cet objectif, nous proposons une approche basée sur les spreads de crédit. Nous commençons, dans un premier chapitre, par une analyse des principaux modèles de valorisation existants, que nous reformulons du point de vue des spreads et que nous simulons numériquement. Nous montrons que, malgré les caractéristiques attrayantes des modèles de type structurel, ceux ci comportent plusieurs lacunes qui peuvent être trompeuses surtout en contexte de crise. Dans les deuxième et troisième chapitres, nous mettons l'accent sur les spreads empiriques, que nous analysons pendant les crises des subprimes et de la zone euro. Par l'intermédiaire : (i) d'une analyse descriptive, (ii) d'analyses en composantes principales, ainsi que (iii) d'analyses par régressions statistiques, nous parvenons à mettre la lumière sur plusieurs facteurs qui affectent les mouvements des spreads et qui ne sont pas pris en compte par les modèles existants. Parmi ces facteurs, nous montrons : (i) que la vague de sauvetage des banques pendant la crise a eu un effet considérable sur les spreads de crédit, et (ii) que la taille d'une firme a également un effet sur ses spreads. Sur la base de ces résultats empiriques, nous proposons dans un quatrième chapitre une contribution à la modélisation structurelle des obligations d'entreprise, qui prend en compte la possibilité des firmes de négocier un sauvetage en cas de détresse. À l'aide de ce modèle, nous parvenons, d'une part, à reproduire les observations empiriques de spreads plus faibles pour des probabilités de sauvetage plus élevées (comme c'est le cas pour les grandes banques), et d'autre part, à combler plusieurs lacunes des modèles existants, tels que les simples mécanismes de faillite, ou les faibles spreads de crédit pour les courtes maturités. / The aim of this thesis is to contribute to the improvement of the valuation of corporate bonds, particularly by drawing some lessons from the recent economic and financial crisis. In order to achieve this goal, we propose an approach based on corporate bonds' credit spreads. We start, in the first chapter, by analyzing the main existing valuation models, which we reformulate from the standpoint of credit spreads and which we simulate numerically. We show that, despite the attractive features that the structural models have, the latter exert contain several shortcomings which may be misleading especially in a crisis context. In the second and third chapters, we focus on the empirical credit spreads, which we analyze during the subprime crisis and the Eurozone crisis periods. By the means of : (i) a descriptive analysis, (ii) principal component analyses, and(iii) statistical regression analyses, we manage to shed light on a number of factors which affect the movements of the spreads and have not been addressed by the existing models. Among these factors, we show that : (i) the wave of bailouts that occurred during the crisis has had an important effect on the spreads, and (ii) the size of a firm is connected with its spreads. Based on these empirical results, we propose in the fourth chapter a contribution to the modeling of corporate bonds which accounts for the possibility of firms to negotiate a rescue plan in case of distress. This model allows us, on the one hand, to reproduce the empirical observations of lower credit spreads for higher probabilities of receiving a bailout (as it is the case for large banks), and on the other hand, to tackle several drawbacks of the existing models, such as the simple bankruptcy mechanisms or the low credit spreads for short maturities.

Dissertação (mestrado)—Universidade de Brasília, Departamento de Economia, 2011. / Submitted by Shayane Marques Zica (marquacizh@uol.com.br) on 2011-09-12T20:34:16Z No. of bitstreams: 1 2011_RodrigoCaldasGonçalves.pdf: 805939 bytes, checksum: 362aab0bea917f3c353b5ea5c9f18b29 (MD5) / Approved for entry into archive by LUCIANA SETUBAL MARQUES DA SILVA(lucianasetubal@bce.unb.br) on 2011-09-20T15:04:47Z (GMT) No. of bitstreams: 1 2011_RodrigoCaldasGonçalves.pdf: 805939 bytes, checksum: 362aab0bea917f3c353b5ea5c9f18b29 (MD5) / Made available in DSpace on 2011-09-20T15:04:47Z (GMT). No. of bitstreams: 1 2011_RodrigoCaldasGonçalves.pdf: 805939 bytes, checksum: 362aab0bea917f3c353b5ea5c9f18b29 (MD5) / Este trabalho aborda o modelo de precificação do CDS de emissões soberanas, proposto por Remolona in ‘A Ratings Based Approach to Measuring Sovereign Risk’ (International Journal of Finance and Economics, vol. 13, issue 1, 26-39) como forma de evidenciar parcelas do risco soberano não amparadas pela perda esperada, calculada de acordo com o rating soberano dos emissores, originando o que a literatura acadêmica chama de Credit Spread Puzzle. Foi avaliado o modelo para CDS com maturidades de 2, 3, 5, 7 e 10 anos, para grupos de 7 e 8 países emergentes, incluindo-se sempre o Brasil, considerando os períodos entre janeiro de 2002 e junho de 2006, e janeiro de 2002 e junho de 2010, utilizando para tal regressões em painel. Complementarmente, foram realizadas regressões lineares individuais pelo método OLS de 12 países, sendo 10 emergentes e 2 da zona do Euro que atualmente enfrentam problemas em relação à gestão de suas dívidas externas. Foi também avaliado o comportamento do indicador de Volatilidade VIX, elaborado pela Chicago Board of Options Exchange, e as implicações que possui na formação do CDS. Com base em dados de expectativas de perdas de todos os países, calculado com base no rating individual divulgado pela agência de classificação de Risco Moody’s, e nos CDS dos diversos países analisados, foi calculada individualmente a parcela de prêmio decorrente de perdas inesperadas, ou prêmio de risco, e feita análise comparativa com o prêmio de risco brasileiro. Os resultados mostraram que o modelo proposto por Remolona sofreu forte influência da crise subprime ocorrida entre 2008 e 2009, o que mudou os parâmetros dos coeficientes da regressão em painel, sem, no entanto, invalidar o modelo. Foi constatado que existem restrições para aplicação do modelo aos CDS individualmente, não sendo confiável sua utilização sem adaptações. Foi constatada a existência de autocorrelação de resíduos, demonstrando que existem fatores que não foram incluídos na modelagem. Em relação à análise de prêmios, constatou-se que o Brasil, se comparado aos demais países avaliados, vem apresentando significativas melhoras na taxa de CDS, além de ter apresentado perdas menores em razão da crise do subprime, principalmente nas maturidades de 2, 3 e 5 anos, indicando uma incompatibilidade entre as perdas esperadas, e consequentemente a classificação de risco atribuída, e a precificação feita pelo mercado, sendo que muitas vezes a última apresentou valor inferior à precificação esperada. _______________________________________________________________________________ ABSTRACT / This paper discusses the model for pricing sovereign CDS emissions proposed by Remolona in 'A Ratings Based Approach to Measuring Sovereign Risk' (International Journal of Finance and Economics, vol. 13, issue 1, 26-39) as a way of showing portions of sovereign risk is not supported by the expected loss calculated in accordance with the sovereign rating of the issuers, resulting in what the academic literature calls the Credit Spread Puzzle. We evaluated the model for CDS with maturities of 2, 3, 5, 7 and 10 years, for groups of 7 and 8 developing countries, always including Brazil, considering the periods between January 2002 and June 2006 and January 2002 and June 2010, using such panel regressions. In addition, individual linear regressions were performed by OLS from 12 countries, 10 emerging and 2 of the Eurozone which currently face problems in relation to the management of foreign debts. It was also rated the behavior of the VIX volatility indicator, developed by the Chicago Board of Options Exchange, and the implications it has on the formation of the CDS. Based on data from expected losses of all countries, calculated on the basis of individual rating issued by rating agency Moody's, and the CDS of the analyzed countries, was calculated individually to share premium arising from unexpected losses, or premium risk, and made comparison with the Brazilian risk premium. The results showed that the model proposed by Remolona was strongly influenced by the subprime crisis that occurred between 2008 and 2009, which changed the parameters of the regression coefficients in the panel, without, however, invalidate the model. It was noted that restrictions apply to individual CDS, its use is not reliable without adaptations. It has been found the existence of autocorrelation of residues, demonstrating that there are factors that were not included in the modeling. On the analysis of premiums, it was found that Brazil, as compared to other countries evaluated, has shown significant improvements in the rate of CDS, and also presented lower losses due to subprime crisis, primarily with maturities of 2, 3 and 5 years, indicating a mismatch between the expected losses, and consequently the risk ratings assigned, and pricing by the market, and often the latter showed a value below the expected pricing.

In the study the first part is focused on anylysing the U.S. corporate bond market especially its imporance and progress. Second part is devoted structured products which are integrated in the corporate bond market in USA. Last part is focused on historical yields and especially credit spreads of corporate bonds and the factors which influence them.