Submitted by Leonardo Medina (leo.medina@bol.com.br) on 2013-08-22T04:02:55Z No. of bitstreams: 1 Modelagem Paramétrica de Curvas de Crédito no Mercado Brasileiro.pdf: 1313931 bytes, checksum: bc46547efe94768915a9df1505ed510f (MD5) / Rejected by Vitor Souza (vitor.souza@fgv.br), reason: Falta a folha de aprovação assinada pela banca. on 2013-08-22T13:56:58Z (GMT) / Submitted by Leonardo Medina (leo.medina@bol.com.br) on 2013-08-23T03:38:20Z No. of bitstreams: 1 Modelagem Paramétrica de Curvas de Crédito no Mercado Brasileiro.pdf: 1349748 bytes, checksum: 1ddbd179f3eda6f4f272dc54002f83d5 (MD5) / Approved for entry into archive by Marcia Bacha (marcia.bacha@fgv.br) on 2013-09-10T13:27:46Z (GMT) No. of bitstreams: 1 Modelagem Paramétrica de Curvas de Crédito no Mercado Brasileiro.pdf: 1349748 bytes, checksum: 1ddbd179f3eda6f4f272dc54002f83d5 (MD5) / Made available in DSpace on 2013-09-19T18:32:54Z (GMT). No. of bitstreams: 1 Modelagem Paramétrica de Curvas de Crédito no Mercado Brasileiro.pdf: 1349748 bytes, checksum: 1ddbd179f3eda6f4f272dc54002f83d5 (MD5) Previous issue date: 2012-05-25 / Após a crise financeira de 2008, é perceptível a intensificação de esforços globais para aperfeiçoar métodos de avaliação de risco e ajuste de exposição de capital para tornar o sistema financeiro mundial mais sólido e consistente. O objetivo deste trabalho é propor um modelo de estimação de curvas de crédito privado no Brasil, aplicando a modelagem paramétrica de Nelson & Siegel (1987) a uma amostra de preços de debêntures. Os resultados obtidos poderão ser utilizados para auxiliar reguladores e profissionais de mercado com análises de risco, apreçamento de ativos ilíquidos e percepção de expectativas. / After the last financial crisis in 2008, global efforts to improve methods of risk analysis and capital exposure adjustment were intensified in order to make the global financial system more strong. This work proposes a model to estimate spread curves in Brazil, applying the Nelson & Siegel parametric model (1987) to a sample of debentures. These results may help regulators and market professionals with risk analysis, valuation of illiquid bonds and forecasts.

The purpose of this thesis is to define which variables affect the average credit spread on the Swedish bond market. The study is conducted via the help of Enter Fonder, who contributes with data and insight into the Swedish corporate bond market. Earlier research has put a lot of weight on the connection between default risk and credit spread. The exact effect is however still debated and it is unclear which variables best describe the default risk. A multilinear regression analysis is conducted, studying the effect on the average credit spread in the NOMX-index (NOMXCRSP) with the following predictor variables: Treasury rate, Predicted EPS amongst OMXS30-companies, Change in net asset under management (AUM) of Swedish corporate bonds, The average credit spread on two European and two American counterparts to NOMX, D/E-ratio and EBITDA-margin amongst OMXS30-companies and finally PMI-index from both the industry and service sector. The regression analysis is based on 89 data points which were aggregated into an equivalent interval on a monthly basis. The final results presents a model of seven variables consisting of all the four international indexes, treasury rate, predicted EPS and change in net AUM, and was able to explain around 87% of the variance in the data. / Syftet med denna avhandling är att identifiera och analysera den genomsnittliga kreditspreadens underliggande variabler på den svenska företagsobligationsmarknaden. Arbetsprocessen utförs tillsammans med fondbolaget Enter Fonder vilka bidrar med stöd i samband med datainsamlingen samt insikt om den svenska företagsobligationsmarknaden. Tidigare forskning inom ämnet har påpekat ett tydligt samband mellan ett företags likviditetsrisk och kreditspreaden på dess emitterade företagsobligationer. Likviditetsriskens exakta effekt på kreditspreaden samt hur denna risk lämpligast mäts, råder det dock oenighet om. En multipel linjär regressionsanalys genomförs där effekten på den genomsnittliga kreditspreaden i NOMX-indexet (NOMXCRSP) analyseras utifrån de underliggande variablerna: Statslåneränta, Estimerade EPS bland OMXS30-bolag, Förändringar i fondflöden på svenska företagsobligationer, Genomsnittlig kreditspread på två europeiska respektive amerikanska motsvarigheter till NOMX, D/E-ratio samt EBITDAmarginal bland OMXS30-bolag och slutligen PMI-siffror från både industri- samt tjänstesektorn. Regressionsanalysen baseras på totalt 89 datapunkter som aggregerats till likvärdig och månatlig basis. Den slutliga modellen består av totalt sju förklarande variabler där de fyra internationella indexen, Estimerad EPS, Statslåneräntan samt Förändringar i fondflöden utgör dessa och tycks förklara cirka 87 % av variansen i datasetet.

Submitted by Fayga Czerniakowski Delbem (fayga.c.delbem@gmail.com) on 2016-10-31T08:46:45Z No. of bitstreams: 1 Tese_FINAL_28.10.2016.docx: 412347 bytes, checksum: 30f3648dfa285ec0fc602596d42f44bd (MD5) / Approved for entry into archive by Joana Martorini (joana.martorini@fgv.br) on 2016-10-31T10:09:58Z (GMT) No. of bitstreams: 1 Tese_FINAL_28.10.2016.docx: 412347 bytes, checksum: 30f3648dfa285ec0fc602596d42f44bd (MD5) / Made available in DSpace on 2016-10-31T11:46:58Z (GMT). No. of bitstreams: 1 Tese_FINAL_28.10.2016.docx: 412347 bytes, checksum: 30f3648dfa285ec0fc602596d42f44bd (MD5) Previous issue date: 2016-10-14 / The main goal of this paper is to analyze the credit spread impact given by the tax exempt treatment to Brazilian corporate infrastructure bonds introduced in 2011 by law number 12.431. Assuming the non-arbitrage theory, a rational investor would expect that an infrastructure corporate bond credit spread would be equivalent of a regular corporate bond credit spread, adjusted by the tax benefit and others risk factors. However, this paper finds no such evidence for infrastructure corporate bonds. This tax impact is more relevant when we analyze infrastructure corporate bonds sold to retail investors and implies that this asset class is not attractive, on a risk adjusted basis, to investors not eligible for the tax benefit, restricting the demand and development of the capital market infrastructure funding. Due to this, we suggest the possibility of converting the tax exempt bonds in regular bonds and granting the companies with tax subsidy and we believe that it is important to make adjustments in Law number 12.431 to effectively attract private funding to infrastructure financing. / O objetivo deste trabalho é analisar o impacto no spread de crédito causado pela isenção fiscal concedida as debêntures de Infraestrutura Incentivadas, conforme lei 12.431 de 2011. Partindo dos pressupostos da Teoria de Não Arbitragem, a expectativa de um investidor racional seria de que o spread de crédito de uma debênture de infraestrutura fosse equivalente a um spread de crédito de qualquer debênture, ajustado pelo imposto de renda e demais fatores de risco. Os ensaios empíricos realizados neste trabalho relevaram evidências de que isso não se verifica nas emissões que já ocorreram. Esta distorção fiscal é ainda mais relevante quando analisamos especificamente as debêntures focadas em pessoas físicas e implica na não atratividade deste tipo de instrumento para investidores que não se beneficiam da isenção, limitando a demanda e o desenvolvimento deste mecanismo de financiamento à infraestrutura. Frente a esta constatação, propõe-se a possibilidade de conversão da isenção fiscal em subsídio tributário e se conclui que são fundamentais alterações na lei 12.431 para o estímulo ao financiamento privado da infraestrutura brasileira.

Submitted by Adriano Faria (afaria@fgvmail.br) on 2017-12-13T19:49:29Z No. of bitstreams: 1 Tese_deFaria.pdf: 3657553 bytes, checksum: 11ec67914c866ca46d83c67c1592e093 (MD5) / Approved for entry into archive by GILSON ROCHA MIRANDA (gilson.miranda@fgv.br) on 2017-12-21T11:41:13Z (GMT) No. of bitstreams: 1 Tese_deFaria.pdf: 3657553 bytes, checksum: 11ec67914c866ca46d83c67c1592e093 (MD5) / Made available in DSpace on 2017-12-27T12:18:22Z (GMT). No. of bitstreams: 1 Tese_deFaria.pdf: 3657553 bytes, checksum: 11ec67914c866ca46d83c67c1592e093 (MD5) Previous issue date: 2017-03-16 / This thesis is a collection of essays in empirical finance mainly focused on term structure models. In the first three chapters, we developed methods to extract the yield curve from government and corporate bonds. We measure the performance of such methods in pricing, Value at Risk and forecasting exercises. In its turn, the last chapter brings a discussion about the effects of different metrics of the optimal portfolio on the estimation of a CCAPM model.In the first chapter, we propose a segmented model to deal with the seasonalities appearing in real yield curves. In different markets, the short end of the real yield curve is influenced by seasonalities of the price index that imply a lack of smoothness in this segment. Borrowing from the flexibility of spline models, a B-spline function is used to fit the short end of the yield curve, while the medium and the long end are captured by a parsimonious parametric four-factor exponential model. We illustrate the benefits of the proposed term structure model by estimating real yield curves in one of the biggest government index-linked bond markets in the world. Our model is simultaneously able to fit the yield curve and to provide unbiased Value at Risk estimates for different portfolios of bonds negotiated in this market.Chapter 2 introduces a novel framework for the estimation of corporate bond spreads based on mixture models. The modeling methodology allows us to enhance the informational content used to estimate the firm level term structure by clustering firms together using observable firm characteristics. Our model builds on the previous literature linking firm level characteristics to credit spreads. Specifically, we show that by clustering firms using their observable variables, instead of the traditional matrix pricing (cluster by rating/sector), it is possible to achieve gains of several orders of magnitude in terms of bond pricing. Empirically, we construct a large panel of firm level explanatory variables based on results from a handful of previous research and evaluate their performance in explaining credit spread differences. Relying on panel data regressions we identify the most significant factors driving the credit spreads to include in our term structure model. Using this selected sample, we show that our methodology significantly improves in sample fitting as well as produces reliable out of sample price estimations when compared to the traditional models.Chapter 3 brings the paper “Forecasting the Brazilian Term Structure Using Macroeconomic Factors”, published in Brazilian Review of Econometrics (BRE). This paper studies the forecasting of the Brazilian interest rate term structure using common factors from a wide database of macroeconomic series, from the period of January 2000 to May 2012. Firstly the model proposed by Moench (2008) is implemented, in which the dynamic of the short term interest rate is modeled using a Factor Augmented VAR and the term structure is derived using the restrictions implied by no-arbitrage. Similarly to the original study, this model resulted in better predictive performance when compared to the usual benchmarks, but presented deterioration of the results with increased maturity. To avoid this problem, we proposed that the dynamic of each rate be modeled in conjunction with the macroeconomic factors, thus eliminating the no-arbitrage restrictions. This attempt produced superior forecasting results. Finally, the macro factors were inserted in a parsimonious parametric three-factor exponential model.The last chapter presents the paper “Empirical Selection of Optimal Portfolios and its Influence in the Estimation of Kreps-Porteus Utility Function Parameters”, also published in BRE. This paper investigates the effects on the estimation of parameters related to the elasticity of intertemporal substitution and risk aversion, of the selection of different portfolios to represent the optimal aggregate wealth endogenously derived in equilibrium models with Kreps-Porteus recursive utility. We argue that the usual stock market wide index is not a good portfolio to represent optimal wealth of the representative agent, and we propose as an alternative the portfolio from the Investment Fund Industry. Especially for Brazil, where that industry invests most of its resources in fixed income, the aforementioned substitution of the optimal proxy portfolio caused a significant increase in the risk aversion coefficient and the elasticity of the intertemporal substitution in consumption.

Submitted by Jean Fontes (jeanrfontes@yahoo.com.br) on 2018-06-28T00:22:20Z No. of bitstreams: 1 MFEE_Dissertação_Jean_Fontes.pdf: 17252759 bytes, checksum: 5fa63ebb1abfe8902987b38b857d341c (MD5) / Approved for entry into archive by GILSON ROCHA MIRANDA (gilson.miranda@fgv.br) on 2018-07-06T13:43:51Z (GMT) No. of bitstreams: 1 MFEE_Dissertação_Jean_Fontes.pdf: 17252759 bytes, checksum: 5fa63ebb1abfe8902987b38b857d341c (MD5) / Made available in DSpace on 2018-07-16T18:54:16Z (GMT). No. of bitstreams: 1 MFEE_Dissertação_Jean_Fontes.pdf: 17252759 bytes, checksum: 5fa63ebb1abfe8902987b38b857d341c (MD5) Previous issue date: 2018 / The post-2008 financial crisis intensified and improved risk management around the world. From 2014 to 2017, Brazil experienced a severe period of economic crisis culminating in the largest recession in history in 2016. The objective of this work is to measure the impact of this crisis on the credit spread in the secondary market of debentures and the consequent probability of default implicit of these assets. The work analyzes the data of the private credit curve in Brazil for the AAA, AA and A Ratings published daily by ANBIMA based on Nelson and Siegel (1987) parametric model with revision proposed by Diebold and Li (2006). Based on these data, we extracted the daily probability of default implicit using the reduced form of the Duffie and Singleton model (1999) proposed by Xu and Nencioni (2000). This study seeks to identify the perception of agents of the credit market in relation to the increase of risk in the current Brazilian economic scenario. The study concluded that there was a significant increase in the credit spread to the apex in 2016, decreasing during 2017 with the more favorable economic scenario and the fall in interest rates. However, the model data showed high daily volatility. Regarding Probability of Default, there was a great evolution in the perception of credit risk by agents, but there was a certain delay in the pricing of this risk when compared to other economic indicators. In the comparison of the model data with the calculated default probability data for each individual asset, a large difference was observed between assets with the same rating level and the average of the model data. The data of this model can be used in future work to set up portfolios with a better return risk ratio, besides attesting the usefulness of this tool to the economic agents to price their operations and to fulfill their expectations. / Os eventos pós-crise financeira de 2008 intensificaram e aperfeiçoaram o gerenciamento de risco em todo mundo. De 2014 a 2017, o Brasil vivenciou um grave período de crise econômica culminando na maior recessão da história em 2016. O objetivo deste trabalho é dimensionar o impacto dessa crise no spread de créditos no mercado secundário de debêntures e na consequente probabilidade de default implícita destes ativos. O trabalho analisa os dados da curva de crédito privado no Brasil para os Ratings AAA, AA e A divulgados diariamente pela ANBIMA com base na modelagem paramétrica de Nelson e Siegel (1987) com revisão proposta por Diebold e Li (2006). Com base nestes dados, extraiu-se a probabilidade de default implícita diária utilizando a forma reduzida do modelo de Duffie e Singleton (1999) proposta conforme Xu e Nencioni (2000). Este estudo busca identificar a percepção dos agentes do mercado de crédito privado em relação ao aumento do risco no atual cenário econômico brasileiro. O trabalho concluiu que houve relevante elevação do spread de crédito até o ápice em 2016, decrescendo ao longo de 2017 com o cenário econômico mais favorável e as quedas das taxas de juros. Porém, os dados do modelo passaram a apresentam alta volatilidade diaria. Em relação a Probabilidade de Default houve grande evolução da percepção de risco de crédito pelos agentes, porém houve um certo atraso na precificação deste risco quando comparado a outros indicadores econômicos. Na comparação dos dados do modelo com os dados de probabilidade de default calculado para cada ativo individualmente, observou-se grande diferença entre ativos com o mesmo nível de rating assim como em relação à média dos dados do modelo. Os dados deste modelo podem ser utilizados num trabalho futuro para montagem de carteiras com uma melhor relação de risco retorno, além de atestar a utilidade desta ferramenta para os agentes econômicos precificarem suas operações e balizarem suas expectativas.

[pt] Este trabalho investiga empiricamente como as taxas de negociação no mercado secundário de debêntures se correlacionam com mudanças na atividade econômica do país. A base de dados analisada se refere a debêntures com remuneração indexada a CDI (mais) spread de janeiro de 2010 até dezembro de 2019. Para isso, criou-se um Índice de Spread de Crédito, visando ser um indicador da atividade econômica. Em um segundo passo, o Índice é decomposto em um componente que captura a expectativa de default das companhias, observando seus dados dos balanços financeiros, e um componente residual – o Excess Bond Premium. Em linha com a literatura, o estudo sugere que um aumento do Excess Bond Premium evidencia uma redução na oferta de crédito, assim como uma alta nas taxas das debêntures, o que, segundo a teoria estudada, leva a uma desaceleração na atividade econômica. O estudo sugere que um aumento de 100 basis points no Excess Bond Premium leva a uma retração de aproximadamente 4,2 por cento na taxa de crescimento do PIB. / [en] This paper empirically investigates how trading rates in the secondary corporate bond s market correlate with changes in the country s economic activity. The database consists of corporate bonds with floating rates tied to CDI (plus) spread from January 2010 to December 2019. For this purpose, a Credit Spread Index was created, aiming to be an indicator of economic activity. The second step was to decompose the Index into a component that captures companies default expectations, observing their financial statement data, and a residual component – the Excess Bond Premium. In line with references, the paper suggests that an increase in Excess Bond Premium, generates a reduction in the supply of credit, as well as an increase in the rates of corporate bonds, which, according to the theory studied, leads to a slowdown in economic activity. The study suggests that an increase of 100 basis points in the Excess Bond Premium leads to a drop of 4.2 percent in GDP growth rate.

Risk measurement tools and strategies have until recently been calibrated for a low-for-long interest rate environment. However, in the current higher interest rate environment, banking supervisory entities have intensified their regulatory pressure on institutions to enhance their assessment and monitoring of interest rate risk and credit spread risk. The European Banking Authority (EBA) has released updated guidelines on the assessment and monitoring of Credit Spread Risk in the Banking Book (CSRBB), which will replace the current guidelines by 31st December 2023. The new guidelines identify the CSRBB as a separate risk category apart from Interest Rate Risk in the Banking Book (IRRBB), and specifies the inclusion of liabilities in therisk calculations. This paper proposes a CSRBB model that conforms to the updated EBA guidelines. The model uses a historical simulation Value at Risk (HSVaR) and Expected Shortfall (ES) approach, and includes a 90-day holding period, as suggested by Finansinspektionen (FI). To assess the effectiveness of the model, it is compared with a standardised model of FI, and subjected to backtesting. Additionally, the paper suggests modifications to the model to obtain more conservative results. / Riskmätningsverktyg och strategier har sedan nyligen anpassats till en lågräntemiljö. Dock till följd av den nuvarande högre räntemiljön har tillsynsmyndigheter för bankväsendet satt ökat tryck på institutioners utvärdering och rapportering av ränterisk och kreditspreadrisk. Den Europeiska Bankmyndigheten (EBA) har publicerat uppdaterade riktlinjer för bedömning och rapportering av kreditspreadsrisken i bankboken (CSRBB), som ersätter de nuvarande riktlinjerna den 31 december 2023. De nya riktlinjerna identifierar CSRBB som en separat riskkategori från ränterisk i bankboken (IRRBB) och specificerar inkluderingen av skulder i riskberäkningarna. Denna uppsats föreslår en CSRBB-modell som följer EBAs uppdaterade riktlinjer. Modellen använder en Value at Risk (VaR) metodik baserat på historiska simulationer och Expected Shortfall (ES), samt antar en 90-dagars innehavsperiod som föreslås av Finansinspektionen (FI). Modellens effektivitet utvärderas genom en jämförelse med FIs standardmodell för kreditspreadrisken i bankboken, samt genom backtesting. Slutligen diskuteras möjliga justeringar av modellen för att uppnå mer konservativa resultat.

本研究探討歐洲已開發市場之主權信用違約交換與主權債券和無風險利率之債券信用價差之間的動態關係以及價格發現現象。此外亦分析可能影響歐洲已開發市場主權信用違約交換與債券信用價差變動之因子。 實證結果發現信用違約交換有較明顯之價格發現功能，且信用違約交換與債券信用價差間之基準差與信用風險呈現正向關係。而歐洲主權債券因其性質特殊，其使用德國政府公債作無風險利率反而較歐元交換利率為佳。此外我們發現利率變化與股市皆為影響歐洲主權信用價差之因子，而波動率之影響不明顯，原因也可能是歐洲主權債券過去低風險而成為資金避險標的之特殊性質。 / The thesis examines the dynamic relation between CDS and bond spread on developed European sovereign bonds. We also investigate which variables will affect the changes of CDS and bond spreads. We found that price discovery occurs on CDS more often, and the basis between CDS and bond spread has a positive relationship with credit risk. Due to the special characteristic of developed European sovereign bonds, the German sovereign bond yield is a better benchmark for risk-free rate than the Euro swap rate. Also we found that the change of rates and the return on stock market affect the European sovereign credit spread, but the effect of volatility on credit spread is limited. The reason should be the low-risk nature of these bonds in the past, which made them “safe” products for capitals to park.

Submitted by Vito Jarque Junior (vitojarque@gmail.com) on 2017-06-29T03:19:47Z No. of bitstreams: 1 Dissertação.pdf: 1824355 bytes, checksum: d2ac9c243606e99b445415fe2275c8fb (MD5) / Approved for entry into archive by GILSON ROCHA MIRANDA (gilson.miranda@fgv.br) on 2017-07-07T13:01:13Z (GMT) No. of bitstreams: 1 Dissertação.pdf: 1824355 bytes, checksum: d2ac9c243606e99b445415fe2275c8fb (MD5) / Made available in DSpace on 2017-07-21T14:49:19Z (GMT). No. of bitstreams: 1 Dissertação.pdf: 1824355 bytes, checksum: d2ac9c243606e99b445415fe2275c8fb (MD5) Previous issue date: 2017-05-30 / This work aims to quantify the credit risk of Brazilian companies, by using tools whose refinement and precision is more and more required by financial institutions on credit loans. In this regard, It is analyzed the credit spread and default probabilities derived by the application of two risk models, whose authors are Robert C. Merton (1974), and John Hull, Izzy Nelken and Alan White (2004). In the end, It is also evaluated the model with the best adherence to Brazilian market. / Este trabalho tem como objetivo quantificar o risco de crédito de empresas do mercado brasileiro, lançando mão de ferramentas cujo aprimoramento e precisão são cada vez mais exigidos pelas instituições financeiras nas concessões de empréstimos. Para isso, analisam-se o spread de crédito e a probabilidade de default gerados a partir da aplicação de dois modelos de avaliação de risco, cujos autores são, respectivamente, Robert C. Merton (1974), e John Hull, Izzy Nelken e Alan White (2004). Por fim, comparam-se e analisam-se os resultados, avaliando aquele com melhor aderência ao mercado brasileiro.

Depuis la succession des récentes crises financières, les « dérivés de crédit » connaissent une notoriété médiatique très intense qui dépasse la seule sphère des spécialistes. Créés au début des années 1990, ils sont des instruments financiers de transfert du risque de crédit. Ils autorisent tant la protection que la spéculation. Ils sont juridiquement documentés par des conventions-Cadres proposées par l’International Swaps and Derivatives Association (ISDA), et dans une très petite mesure, par la Fédération Bancaire Française en France. Ils regroupent cinq grandes catégories de contrat : « credit default swap » ou « contrat d’échange sur le risque de crédit », « credit linked notes » ou « dérivé de crédit titrisé », « credit spread option » ou « option sur écart de taux », « credit spread forward » ou « dérivé sur écart de taux » et « total rate of return swap » ou « dérivé de transfert total de rendement ». La nature et la diversité des « dérivés de crédit » posent depuis toujours de sérieuses difficultés de qualification dans de nombreux pays. En droit français, si une qualification commune semble émerger, celle d’instrument financier, elle est hélas insuffisante à apporter un régime juridique complet. Un travail complémentaire de qualification est indispensable pour chaque contrat membre des « dérivés de crédit ». / Nowadays, since financial crisis, « credit derivatives » are famous. Born in 1990’s, they transfer the credit risk. They are speculation’s instrument or margin’s instrument. International Swaps and Derivatives Association (ISDA), and the Fédération Bancaire Française (in France), point to pattern juridical agreement. Credit derivatives include five big sort of agreement : « credit default swap » (« contrat d’échange sur le risque de crédit »), « credit linked notes » (« dérivé de crédit titrisé »), « credit spread option » (« option sur écart de taux »), « credit spread forward » (« dérivé sur écart de taux ») and « total rate of return swap » (« dérivé de transfert total de rendement »). Their variety and essence ask difficult question of juridical appreciation in many countries. In French law, credit derivatives are « instrument financier ». But this juridical appreciation is incomplete. Every sort of agreement must being individually studies.