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A factor analysis of volatility across the term structure: the Spanish case

dc.contributor.authorBenito, Sonia
dc.contributor.authorNovales Cinca, Alfonso Santiago
dc.date.accessioned2023-06-20T16:39:25Z
dc.date.available2023-06-20T16:39:25Z
dc.date.issued2005
dc.description.abstractWe show how the term structure of volatilities for zero-cupon interest rates from the Spanish secondary debt market can be explained by a reduced number of factors. This factor representation can be used to produce time series volatilities across the whole term structure. As an alternative, volatilities can also be derived from a factor model for interest rates themselves. We find evidence contrary to the hypothesis that these two procedures lead to statistically equivalent time series, so that choosing the right model to estimate volatility is far from trivial. The volatility factor model fits univariate EGARCH volatility time series much better than the interest rate factor model does. However, observed differences seem to be of little consequence for VaR estimation on zero coupon bonds.
dc.description.facultyFac. de Ciencias Económicas y Empresariales
dc.description.facultyInstituto Complutense de Análisis Económico (ICAE)
dc.description.refereedFALSE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/7872
dc.identifier.relatedurlhttps://www.ucm.es/icae
dc.identifier.urihttps://hdl.handle.net/20.500.14352/56622
dc.issue.number02
dc.language.isoeng
dc.page.total30
dc.publication.placeMadrid
dc.publisherInstituto Complutense de Análisis Económico. Universidad Complutense de Madrid
dc.relation.ispartofseriesDocumentos de Trabajo del Instituto Complutense de Análisis Económico (ICAE)
dc.rights.accessRightsopen access
dc.subject.keywordanalysis of volatility
dc.subject.ucmEconometría (Economía)
dc.subject.unesco5302 Econometría
dc.titleA factor analysis of volatility across the term structure: the Spanish case
dc.typetechnical report
dc.volume.number2005
dcterms.referencesAlexander, C.O. (2001), “Orthogonal GARCH,” Mastering Risk (C.O. Alexander, Ed.) Volume 2. Financial Times – Prentice Hall pp 21-38. Abad, P. and S. Benito (2004). “Using Nelson-Siegel model to calculate VaR of a Fixed Income Portfolio”. Working paper, Analysis Economic Department of Universidad Complutense. Benito, S (2004). “Análisis Factorial en el Mercado Español de Deuda Pública”. Working paper, nº 001. Analysis Economic Deparment of the Universidad Nacional de Educación a Distancia (UNED). Domínguez, E and A. Novales (2000). “Testing the Expectations Hypothesis in Eurodeposits”. Journal of International Money and Finance, 19, 713-736. Elton, E. J., M. J. Gruber and B. Michaely (1990). “The Structure of Spot Rates and Immunization”. The Journal of Finance, 45, 629-641. Engsted, T. and C. Tanggaard (1994). “Cointegration and the US term structure”. Journal of Banking and Finance, 18, 167-181. Gento, P. (2001). “Un modelo Simplificado para el Cálculo del Valor en Riesgo en Carteras de Renta Fija”. Working Paper, Facultad de derercho y Ciencias Sociales de la Universidad de Castilla la Mancha. Hall, A. D., H. M. Anderson and Clive W. J. Granger (1992). “A cointegration Analysis of Treasury Bill Yields”. The Review of Economics and Stadistics, 74, 116-126. Litterman, R. and J. Scheinkman (1991). “Common Factors Affecting Bond Returns”. The Journal of Fixed Income, jun, 54-61. Navarro, E. and J. Nave (1997). “A Two-Factor Duration Model for Interest Rate Risk Management”. Investigaciones Económicas, 21, 55-74. Stock, J. H., and W. Watson (1988). “Testing for Common Trends”. Journal of the American Statistical Assotiation, 83, 1097-1107.
dspace.entity.typePublication
relation.isAuthorOfPublication1ebcfd7a-98fe-4310-bd7a-db2e0e8d1bed
relation.isAuthorOfPublication.latestForDiscovery1ebcfd7a-98fe-4310-bd7a-db2e0e8d1bed

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