Credit spread modeling effects on counterparty risk valuation adjustments: a spanish case study
| dc.contributor.author | Fernández Muñoz de Morales, Alberto | |
| dc.date.accessioned | 2023-06-19T23:53:31Z | |
| dc.date.available | 2023-06-19T23:53:31Z | |
| dc.date.issued | 2013-10 | |
| dc.description | Este trabajo es parte de mi tesis doctoral en Banca y Finanzas Cuantitativas, supervisado por Alfonso Novales Cinca, del Departamento de Economía Cuantitativa de la Universidad Complutense de Madrid. Quiero expresar mi agradecimiento por los comentarios y observaciones a José Manuel López, Juan Antonio de Juan y Daniel Andrés. | |
| dc.description.abstract | We analyze the effects of the financial crisis in credit valuation adjustments (CVA's). Following the arbitrage-free valuation framework presented in Brigo et al. (2009), we consider a model with stochastic Gaussian interest rates and CIR++ default intensities. Departing from previous literature, we are able to calibrate default intensities profiting from Gaussian mapping techniques presented in Brigo and Alfonsi (2004), and reproduce the historically observed instantaneous covariances of CDS prices. To test the calibration procedure, we track the Spanish financial sector, who has behaved in a singular manner through the crisis, regarded among the safest in Europe at the beginning, and in need of a partial bailout a few years later. We calculate adjustments involving the two major Spanish banks and a generic European counterpart in these two situations for both interest rate and credit derivatives. | |
| dc.description.abstract | En este trabajo se analizan los efectos de la crisis financiera en los ajustes por valoración de riesgo de crédito. Siguiendo el marco de valoración libre de riesgo presentado en Brigo et al. (2009), se considera un modelo híbrido estocástico con tipos de interés gaussianos e intensidades de quiebra CIR++. A diferencia de literatura anterior, se calibran las intensidades de quiebra aprovechando las técnicas de mapeo gaussiano mostradas en Brigo y Alfonsi (2004), reproduciendo las covarianzas instantáneas históricas observadas de precios de permutas de incumplimiento crediticio. Este procedimiento de calibración se prueba sobre el sector financiero español, que ha seguido un comportamiento singular durante la crisis reciente, pasando de ser considerado de los más sólidos de Europa a necesitar un rescate parcial pocos años después. Se calculan ajustes involucrando a los dos mayores bancos españoles y a una contraparte europea genérica en ambas situaciones para derivados de tipos de interés y de crédito. | |
| dc.description.faculty | Fac. de Ciencias Económicas y Empresariales | |
| dc.description.faculty | Instituto Complutense de Análisis Económico (ICAE) | |
| dc.description.refereed | FALSE | |
| dc.description.status | pub | |
| dc.eprint.id | https://eprints.ucm.es/id/eprint/23045 | |
| dc.identifier.issn | 2341-2356 | |
| dc.identifier.relatedurl | https://www.ucm.es/icae | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14352/41510 | |
| dc.issue.number | 32 | |
| dc.language.iso | eng | |
| dc.page.total | 54 | |
| dc.relation.ispartofseries | Documentos de Trabajo del Instituto Complutense de Análisis Económico (ICAE) | |
| dc.rights | Atribución-NoComercial 3.0 España | |
| dc.rights.accessRights | open access | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc/3.0/es/ | |
| dc.subject.jel | C15 | |
| dc.subject.jel | C63 | |
| dc.subject.jel | G12 | |
| dc.subject.jel | G13 | |
| dc.subject.keyword | Counterparty Risk | |
| dc.subject.keyword | Arbitrage-Free Credit Valuation Adjustment | |
| dc.subject.keyword | Credit Default Swaps | |
| dc.subject.keyword | Credit Spread Volatility. | |
| dc.subject.keyword | Riesgo de contraparte | |
| dc.subject.keyword | Ajuste de valoración de crédito libre de riesgo | |
| dc.subject.keyword | Permutas de incumplimiento crediticio | |
| dc.subject.keyword | Volatilidad del spread de crédito. | |
| dc.subject.ucm | Finanzas | |
| dc.title | Credit spread modeling effects on counterparty risk valuation adjustments: a spanish case study | |
| dc.type | technical report | |
| dc.volume.number | 2013 | |
| dcterms.references | •Andersen, L. B., Piterbarg, V. V. (2010), "Interest Rate Modeling". •Basel Committee, (2009), "Strengthening the Resilience of the Banking Sector". •Bielecki T., Rutkowski M. (2001), "Credit risk: Modeling, Valuation and Hedging", Springer Verlag. •Brigo, D. (2011), "Counterparty risk FAQ: credit VaR, PFE, CVA, DVA, closeout, netting, collateral, re-hypothecation, WWR, basel, funding, CCDS and margin lending", Working Paper. • Brigo, D., Alfonsi, A., Banca, I.M.I., San Paolo, I.M.I., (2004), "Credit Default Swaps Calibration and Option Pricing with the SSRD Stochastic Intensity and Interest-Rate Model" •Brigo, D., Capponi, A., Pallavicini, A., and Papatheodorou, V. (2011), "Collateral Margining in Arbitrage-Free Counterparty Valuation Adjust- ment including Re-Hypotecation and Netting", Working paper available at http://arxiv.org/abs/1101.3926. •Brigo, D., Capponi, A., Pallavicini, A. (2012), "Arbitrage-free bilateral counterparty risk valuation under collateralization and aplication to Credit Default Swaps", Mathematical Finance (2012). •Brigo, D., Chourdakis, K. (2009), "Counterparty Risk for Credit Default Swaps: Impact of spread volatility and default correlation", International Journal of Theoretical and Applied Finance, 12(07), 1007-1026. •Brigo, D., El-Bachir, N. (2007), "An exact formula for default swaptions' pricing in the SSRJD stochastic intensity model", ICMA Centre Discussion Papers in Finance, (2007-14). •Brigo, D., and Mercurio, F. (2006), "Interest Rate Models: Theory and Practice, with Smile, Inflation and Credit", Second Edition, Springer Verlag. •Brigo, D., Pallavicini, A. (2006), "Counterparty risk and Contingent CDS valuation under correlation between interest-rates and default", available at SSRN 926067. •Brigo, D., Pallavicini, A., and Papatheodorou, V. (2009), "Bilateral counterparty risk valuation for interest-rate products: impact of volatilities and correlations", arXiv preprint arXiv:0911.3331. •Chen, K., Fleming, M., Jackson, J., Li, A., Sarkar, A. (2011), "An analysis of CDS transactions: Implications for public reporting (No. 517)", Staff Report, Federal Reserve Bank of New York. • Deloitte, Solum Financial Partners, "Counterparty Risk and CVA Survey. Current market practice around counterparty risk regulation, CVA management and funding", 2013. •Duffie, D., and Huang, M. (1996), "Swap Rates and Credit Quality", Journal of Finance 51, 921-950. •Fernández Villaverde, J., and Ohanian, L. (2010), "The Spanish crisis from a global perspective", Documentos de trabajo FEDEA, (3), 1-60. •Gregory, J. (2010), "Counterparty credit risk: the new challenge for global financial markets" (Vol. 470) Wiley • Gregory, J., German, I. (2012), "Closing out DVA?", Working paper • Hull, J. C. (2002), "Options, futures, and other derivatives", Pearson • Lipton, A., and Sepp, A. (2009), "Credit value adjustment for credit default swaps via the structural default model", The Journal of Credit Risk 5.2 (2009): 123-146. •Mamon, R. S. (2004), "Three ways to solve for bond prices in the Vasicek model", Advances in Decision Sciences, 8(1), 1-14. •Schönbucher, P. J. (2003), "Credit derivatives pricing models: models, pricing and implementation", Wiley. | |
| dspace.entity.type | Publication |
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