Analysis of transmission of conditional volatility from market risk factors
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Resumo
This article aims to understand the transmission of volatility from the main market indicators of the European financial system, towards market interest rates, focusing on the prices of the swap with maturity of one year and payments of three months as endogen variable and the three main indexes of the European market as CAD, DAX3, and IBEX35, as an exogenous variable. The exogenous will absorb all the necessary information from the market agents as companies, banks, investments funds, or from externals disturbances as European Central Banks and will affect the levels and the slope of the swap prices. Introduction. SWAP is the financial instrument that will be employed to analyze the changes of the volatility in the market because it is the bigger derivative inside of the group of Fixed Income Assets. It is with the greatest depth and liquidity being one of the best instruments for developing market strategies of investment. Aim. Analyst the transmission of volatility from the systematic risk, represented by indices of the market, through the swap prices. Results. DAX30 and CAD transference of volatility are positive, in the particular case of the CAD the effect of transference is significantly positive and extended because the coefficient is greater than 1. IBEX35 provides an extended negative correction. Meaning for every one percentage point change in the IBEX35, It can be expected on average that the volatility of the swap will move in -4.19 percentage point. Conclusion: The slope of the curve o the endogen variables will be determined by the transmission of the volatility from the exogenous variables and the correlation level of the endogenous will adopt with each index
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Referências
Carsten Detken and Philipp Hartmann (2009), The Euro and International Capital Markets
Chan, K. C., Karolyi, G. A., Longstaff, F. A. and Sanders, A. B. (1992), ‘An empirical comparison of alternative models of the short-term interest rate’, The Journal of Finance 47(3), 1209–1227.
Dai, Q. and Singleton, K. J. (2000), ‘Specification analysis of affine term structure models’, The Journal of Finance 55(5), 1943–1978.
De La Torre Gallegos, A (1996): Operaciones de permuta financiera (swaps). Editorial Ariel, Barcelona.
Eduardo arango, JaimE albErto arroyavE, 2011. SwapS de taSa de interéS y de cruce de monedas como herramientaS de cobertura para laS empreSaS colombianas
European Central Bank (2015): Euro money market survey, September.
Fabio Fornari (2005), The rise and fall of US dollar interest rate volatility: evidence from swaptions
Fabio Fornari (2004): “Macroeconomic announcements and implied volatilities inswaption markets”.
Goldman Named as Part of Interest-Rate Swap Antitrust Case (On-line)
Available (2016): https://www.bloomberg.com/news/articles/2016-05-06/goldman-says-it-was-named-in-interest-rate-swap-antitrust-case.
Hernández, C. (2014). Efectos Asimétricos de Shocks Fiscales en el Ciclo Económico.
Ho, T.S.Y. and S.B. Lee (1986), ‘Term Structure Movements and Pricing Interest Rate Contingent Claims’, The Journal of Finance, 41(5): 1011–29.
Hernández, C. (2014). Efectos Asimétricos de Shocks Fiscales en el Ciclo Económico.
Lorenzo Cappiello, Peter Hördahl, Arjan Kadareja and Simone Manganelli (2006), The Impact Of The Euro On Financial Markets
McCauley, R. (1997): The euro and the dollar.
McCauley, R and P Wooldridge (2016): “Exchanges struggle to attract derivatives trading from OTC markets”, BIS Quarterly Review, September, pp 33–4.
Martin Cihák y Srobona Mitra (2009), Adiós a la aureola -La crisis sacude a Europa
Martin, P., Rey, H. (1999), Financial super-markets: size matters for asset trade.
Michael G. Kollo (2005), Underwriter Competition And Gross Spreads In The Eurobond Market
Nelson, D and D Foster (1995), Filtering and forecasting with misspecified ARCH models II: making the right forecast with the wrong model.
Nelson, Charles R. and Siegel, Andrew F. (1987). “Parsimonious modeling of yield curves”.
Paul R Masson and Bart G. Turtelboom (1997), Characteristics of the Euro, Demand for reserves and Policy Coordination under EMU
Ravi Bansal and Hao Zhou (2001), Term Structure of the interest rates with Regime Shifts.
Robert Engle1(1999), Dynamic Conditional Correlation –A Simple Class Of Multivariate Garch Models
Robert N McCauley (1997), The euro and European financial markets.
Robert N McCauley (2010), The euro and the liquidity of European fixed income markets
Triennial Central Bank Survey: OTC interest rate derivatives turnover. (2016),
Available (2017): https://www.bis.org/publ/rpfx18.htm
Triennial Central Bank Survey of foreign exchange and derivatives market activity in 2013
Available (2015): https://www.bis.org/publ/rpfx13.htm
Tse, Y., & Tsui, C. (2002). A multivariate generalized autoregressive conditional heteroscedasticity model with time-varying correlations.