| Serge Goossens | |||||||||||||||||||||||||||||||||||||||||||
| Joao Garcia | |||||||||||||||||||||||||||||||||||||||||||
| My CV | |||||||||||||||||||||||||||||||||||||||||||
| My CV | |||||||||||||||||||||||||||||||||||||||||||
| Learning with wonder ... building with passion | |||||||||||||||||||||||||||||||||||||||||||
| Joao Garcia is currently an Independent Consultant and linked to the MBA program of Sacred Heart University (Luxembourg). Serge Goossens works as a Quant in the Treasury and Financial Markets of Dexia Bank in Brussels. | |||||||||||||||||||||||||||||||||||||||||||
| The opinions and work here presented / expressed are ours and do not necessarily represent the opinions of our employers. | |||||||||||||||||||||||||||||||||||||||||||
| List of Publications | |||||||||||||||||||||||||||||||||||||||||||
| Areas of Interest | |||||||||||||||||||||||||||||||||||||||||||
| Book: The Art of Credit Derivatives: Demystifying the Black Swan This book describes all the necessary ingredients to support the securitization business model for financial institutions. | a) Investment projects in Brazil in particular and in EM in general. b) Investing on Securitization of Brazilian Assets c) Capital Structuring of Credit Portfolios c) Trading strategies in general d) Trading strategies on standardised credit indices (CDX / iTraxx, XOver, ABX / TABX) e) Credit Portfolio Management of very large credit portfolios. |
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| Correlation Here you will find our recent work on correlation mapping and on the impact of collateral asset correlation on tranche correlations. |
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| Dynamic Portfolio Management: Linking Credit Risk Systems, Securitization and Standardised Credit Indices This paper brings up several points: a) behind the credit crunch is the Securitization business model of large financial institutions; b) this model has been key for the enormous growth we have seen from 2002 to mid 2007; c) it implies however the increase of systemic risk to the portfolios of investors in particular and to the whole market in general; d) this risk needs to be managed dynamically; e) the instruments to manage it are the standardised credit indices; f) those indices represent an enormous technological innovation; g) it is not the corp CDO's that caused the credit crunch (everybody knew and understood the information behind iTraxx / CDX / XOver) but the CDO of ABS's (very few were following ABX / TABX (important for mortgages) and more recently LevX (important for CLO's and LBO's)); h) by getting a spread from a rating one assumes liquidity; i) liquidity can only be available in standardised credit indices. The standardised credit indices are vital to the securitization business model; j) the cost of capital should count for the technological innovation inherent to the banking activity.In case of problems in downloading the file click here. |
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| On the Current Market Turmoil | |||||||||||||||||||||||||||||||||||||||||||
| Advanced Stress Test and Scenario Analysis In a course we gave in Dec 2006 by Risk Training in London we showed that we had anticipated the market turmoil that began in Jul 2007 (see slides 14, 21 and 22). The anticipation of this event has been the drive of our work since Jun 2002 when we began building a parallel system for the dynamic management of the ECAP of a financial institution. We worked on a prototype first build in VB and we then moved on to work on the standardised credit indices. Those indices are vital to the management of the ECAP of a financial institution that uses securitization as key factor in its business activity. In case of problems in downloading the file click here. |
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| Interesting Links: a) Financial Times b) Wall Street Journal c) CNBC d) Bloomberg e) MarkIt: a company dedicated to pricing and indices of Cred Der f) Sacred Heart University g) Brazil Means Business h) DefaultRisk.com |
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| On Credit Event Models for CDOs of ABS This paper is a first version to complement the TABX paper below by using MC simulation single and multifactor (with either flat or a correlation scenario). Capital restructuring is the forthcoming step. In case of problems in downloading the file click here. |
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| One Factor Models for the ABS Correlation Market: Pricing TABX Tranches In this paper we look at 1-factor models for TABX both under the gaussian copula and the Levy base correlation framework. In case of problems in downloading the file click here. |
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| For our presentations, thanks to all the sponsors who kindly invited us to those events:. (organised e.g. by Incisive Media, Marcus Evans, GARP, WBS , Jacob Fleming, ICBI, Brazil Means Business If you have interest in our work please contact us via the emails or tel.'s available in our CV's. We will be very happy to answer your questions. |
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| Let's Jump Together In this paper we evaluate the Gap Risk in CPPI and CPDO structures and we show the model risks involved in it. Additionally we do it under jump processes. In case of problems click here. |
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| Levy Base Correlation Explained This a first version of a work we had began doing before and is currently being updated. It is all about the results of a historical analysis we had done comparing Levy processes with Gaussian copulas.. |
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| Base Expected Loss In this paper we show a better way to interpolate iTraxx/CDX indices. Instead of going to the BC curve we interpolate on the Expected Loss directly. |
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| Levy Base Correlation This a a working paper version on the Levy Base correlation model being used for pricing standardised indexes of credit derivatives. This is done together with Vika Masol and Wim Schoutens. |
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| Pricing Credit Spread Options This paper we use HW and BK to price credit spread options. The paper has been published in the Internacional Journal of Applied and Theoretical Finance back in 2003, when Joao did not have yet the pleasure to work with Serge Goossens.. |
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| Generalised Gauss Laguerre Quadrature in the Levy Base Correlation Framework In this paper we explain why the Generalized Gauss Laguerre quadrature is essential for the accuracy of the Levy Base Correlation algorithm. |
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