IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Volatility Patterns of CDS, Bond and Stock Markets Before and During the Financial Crisis – Evidence from Major Financial Institutions

  • Ansgar Belke

    ()

  • Christian Gokus

This study is motivated by the development of credit-related instruments and signals of stock price movements of large banks during the recent financial crisis. What is common to most of the empirical studies in this field is that they concentrate on modeling the conditional mean. However, financial time series exhibit certain stylized features such as volatility clustering. But very few studies dealing with credit default swaps account for the characteristics of the variances. Our aim is to address this issue and to gain insights on the volatility patterns of CDS spreads, bond yield spreads and stock prices. A generalized autoregressive conditional heteroscedasticity (GARCH) model is applied to the data of four large US banks over the period ranging from January 01, 2006, to December 31, 2009. More specifically, a multivariate GARCH approach fits the data very well and also accounts for the dependency structure of the variables under consideration. With the commonly known shortcomings of credit ratings, the demand for market-based indicators has risen as they can help to assess the creditworthiness of debtors more reliably. The obtained findings suggest that volatility takes a significant higher level in times of crisis. This is particularly evident in the variances of stock returns and CDS spread changes. Furthermore, correlations and covariances are time-varying and also increased in absolute values after the outbreak of the crisis, indicating stronger dependency among the examined variables. Specific events which have a huge impact on the financial markets as a whole (e.g. the collapse of Lehman Brothers) are also visible in the (co)variances and correlations as strong movements in the respective series.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://repec.rwi-essen.de/files/REP_11_243.pdf
Download Restriction: no

Paper provided by Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen in its series Ruhr Economic Papers with number 0243.

as
in new window

Length: 36 pages
Date of creation: Feb 2011
Date of revision:
Handle: RePEc:rwi:repape:0243
Contact details of provider: Postal: Hohenzollernstraße 1-3, 45128 Essen
Phone: (0201)8149-0
Fax: (0201)8149-200
Web page: http://www.rwi-essen.de/
Email:


More information through EDIRC

Order Information: Web: http://www.rwi-essen.de/publikationen/

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. BAUWENS, Luc & LAURENT, Sébastien & ROMBOUTS, Jeroen VK, . "Multivariate GARCH models: a survey," CORE Discussion Papers RP -1847, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  2. Roberto Blanco & Simon Brennan & Ian W Marsh, 2004. "An empirical analysis of the dynamic relationship between investment-grade bonds and credit default swaps," Bank of England working papers 211, Bank of England.
  3. Jan Annaert & Marc De Ceuster & Patrick Van Roy & Cristina Vespro, 2010. "What determines euro area bank CDS spreads ?," Working Paper Research 190, National Bank of Belgium.
  4. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-70, May.
  5. de Goeij, P. & Marquering, W.A., 2002. "Modeling the Conditional Covariance between Stock and Bond Returns," ERIM Report Series Research in Management ERS-2002-11-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  6. Antonio Cesare, 2006. "Do Market-based Indicators Anticipate Rating Agencies? Evidence for International Banks," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 35(1), pages 121-150, 02.
  7. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
  8. Silvennoinen, Annastiina & Teräsvirta, Timo, 2007. "Multivariate GARCH models," SSE/EFI Working Paper Series in Economics and Finance 669, Stockholm School of Economics, revised 18 Jan 2008.
  9. Houweling, P. & Vorst, A.C.F., 2003. "Pricing default swaps: empirical evidence," Econometric Institute Research Papers EI 2003-51, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  10. Francis A. Longstaff & Sanjay Mithal & Eric Neis, 2004. "Corporate Yield Spreads: Default Risk or Liquidity? New Evidence from the Credit-Default Swap Market," NBER Working Papers 10418, National Bureau of Economic Research, Inc.
  11. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(01), pages 122-150, February.
  12. Fathi Abid & Nader Naifar, 2006. "The Determinants Of Credit Default Swap Rates: An Explanatory Study," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 23-42.
  13. Schreiber, Irene & Müller, Gernot & Klüppelberg, Claudia & Wagner, Niklas, 2012. "Equities, credits and volatilities: A multivariate analysis of the European market during the subprime crisis," International Review of Financial Analysis, Elsevier, vol. 24(C), pages 57-65.
  14. Kwan, Simon H., 1996. "Firm-specific information and the correlation between individual stocks and bonds," Journal of Financial Economics, Elsevier, vol. 40(1), pages 63-80, January.
  15. Darbar, Salim M & Deb, Partha, 1997. "Co-movements in International Equity Markets," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(3), pages 305-22, Fall.
  16. Norden, Lars & Weber, Martin, 2004. "Informational Efficiency of Credit Default Swap and Stock Markets: The Impact of Credit Rating Announcements," CEPR Discussion Papers 4250, C.E.P.R. Discussion Papers.
  17. Jorion, Philippe & Zhang, Gaiyan, 2007. "Good and bad credit contagion: Evidence from credit default swaps," Journal of Financial Economics, Elsevier, vol. 84(3), pages 860-883, June.
  18. Coudert, Virginie & Gex, Mathieu, 2010. "Contagion inside the credit default swaps market: The case of the GM and Ford crisis in 2005," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(2), pages 109-134, April.
  19. Asger Lunde & Peter Reinhard Hansen, 2001. "A Forecast Comparison of Volatility Models: Does Anything Beat a GARCH(1,1)?," Working Papers 2001-04, Brown University, Department of Economics.
  20. Ernst R. Berndt & Bronwyn H. Hall & Robert E. Hall & Jerry A. Hausman, 1974. "Estimation and Inference in Nonlinear Structural Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 653-665 National Bureau of Economic Research, Inc.
  21. Forte, Santiago & Peña, Juan Ignacio, 2009. "Credit spreads: An empirical analysis on the informational content of stocks, bonds, and CDS," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2013-2025, November.
  22. Kearney, Colm & Patton, Andrew J, 2000. "Multivariate GARCH Modeling of Exchange Rate Volatility Transmission in the European Monetary System," The Financial Review, Eastern Finance Association, vol. 35(1), pages 29-48, February.
  23. Jarrow, Robert A & Lando, David & Turnbull, Stuart M, 1997. "A Markov Model for the Term Structure of Credit Risk Spreads," Review of Financial Studies, Society for Financial Studies, vol. 10(2), pages 481-523.
  24. Edwin J. Elton, 2001. "Explaining the Rate Spread on Corporate Bonds," Journal of Finance, American Finance Association, vol. 56(1), pages 247-277, 02.
  25. Norden, Lars & Weber, Martin, 2004. "Informational efficiency of credit default swap and stock markets: The impact of credit rating announcements," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2813-2843, November.
  26. Long Chen & David A. Lesmond & Jason Wei, 2007. "Corporate Yield Spreads and Bond Liquidity," Journal of Finance, American Finance Association, vol. 62(1), pages 119-149, 02.
  27. Jianming Kou & Dr Simone Varotto, 2005. "Predicting Agency Rating Migrations with Spread Implied Ratings," ICMA Centre Discussion Papers in Finance icma-dp2005-06, Henley Business School, Reading University.
  28. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
  29. Peter de Goeij, 2004. "Modeling the Conditional Covariance Between Stock and Bond Returns: A Multivariate GARCH Approach," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 2(4), pages 531-564.
  30. Marian Micu & Eli M Remolona & Philip D Wooldridge, 2004. "The price impact of rating announcements: evidence from the credit default swap market," BIS Quarterly Review, Bank for International Settlements, June.
  31. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
  32. Haibin Zhu, 2006. "An Empirical Comparison of Credit Spreads between the Bond Market and the Credit Default Swap Market," Journal of Financial Services Research, Springer, vol. 29(3), pages 211-235, June.
  33. Hull, John & Predescu, Mirela & White, Alan, 2004. "The relationship between credit default swap spreads, bond yields, and credit rating announcements," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2789-2811, November.
  34. Juan Ignacio Pena & Santiago Forte, 2006. "CREDIT SPREADS: THEORY AND EVIDENCE ABOUT THE INFORMATION CONTENT OF STOCKS, BONDS AND CDSs," Business Economics Working Papers wb063310, Universidad Carlos III, Departamento de Economía de la Empresa.
  35. Hamilton, James D. & Susmel, Raul, 1994. "Autoregressive conditional heteroskedasticity and changes in regime," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 307-333.
  36. Jorge A. Chan-Lau & Yoon Sook Kim, 2004. "Equity Prices, Credit Default Swaps, and Bond Spreads in Emerging Markets," IMF Working Papers 04/27, International Monetary Fund.
  37. Dima Rahman, 2009. "Are Banking Systems Increasingly Fragile ? Investigating Financial Institutions’ CDS Returns Extreme Co-Movements," EconomiX Working Papers 2009-34, University of Paris West - Nanterre la Défense, EconomiX.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:rwi:repape:0243. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sabine Weiler)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.