IDEAS home Printed from https://ideas.repec.org/a/psc/journl/v4y2012i4p269-288.html
   My bibliography  Save this article

The Impact of the World Financial Crisis on the Polish Interbank Market: A Swap Spread Approach

Author

Listed:
  • Piotr Płuciennik

    (Adam Mickiewicz University)

Abstract

The swap spread is defined as the difference between the fixed rate of an interest rate swap and the yield of the treasury with the same maturity. The swap spread is usually interpreted as the effective proxy of bank liquidity and the credit spread indicator. The interpretation is very similar to the LIBOR-OIS spread and in the context of Polish interbank market – WIBOR-OIS. However, WIBOR-OIS is less reliable during the crisis of confidence because of lack of interbank operation with the maturity longer than 1 month. Swap spreads base on two liquid instruments, thus they are free of this defect. The main goal of this paper is to assess how Polish swap spreads and their conditional variance reacted to important events connected with the subprime crisis and crisis of confidence in the Polish interbank market.

Suggested Citation

  • Piotr Płuciennik, 2012. "The Impact of the World Financial Crisis on the Polish Interbank Market: A Swap Spread Approach," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 4(4), pages 269-288, December.
  • Handle: RePEc:psc:journl:v:4:y:2012:i:4:p:269-288
    as

    Download full text from publisher

    File URL: http://www.cejeme.eu/publishedarticles/2013-46-16-635043123697187500-8687.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    2. Afonso, Antonio & Strauch, Rolf, 2007. "Fiscal policy events and interest rate swap spreads: Evidence from the EU," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(3), pages 261-276, July.
    3. Rajdeep Sengupta & Yu Man Tam, 2008. "The LIBOR-OIS spread as a summary indicator," Monetary Trends, Federal Reserve Bank of St. Louis, issue Nov.
    4. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
    5. Chauvet, Marcelle & Potter, Simon, 2001. "Nonlinear Risk," Macroeconomic Dynamics, Cambridge University Press, vol. 5(4), pages 621-646, September.
    6. Ying Huang & Salih Neftci & Ira Jersey, 2002. "What Drives Swap Spreads, Credit or Liquidity?," ICMA Centre Discussion Papers in Finance icma-dp2003-05, Henley Business School, University of Reading.
    7. Ignacio N. Lobato & Peter M. Robinson, 1998. "A Nonparametric Test for I(0)," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 475-495.
    8. Duffie, Darrell & Singleton, Kenneth J, 1997. "An Econometric Model of the Term Structure of Interest-Rate Swap Yields," Journal of Finance, American Finance Association, vol. 52(4), pages 1287-1321, September.
    9. Engle, Robert F & Sheppard, Kevin K, 2001. "Theoretical and Empirical Properties of Dynamic Conditional Correlation Multivariate GARCH," University of California at San Diego, Economics Working Paper Series qt5s2218dp, Department of Economics, UC San Diego.
    10. Harris, David & McCabe, Brendan & Leybourne, Stephen, 2008. "Testing For Long Memory," Econometric Theory, Cambridge University Press, vol. 24(1), pages 143-175, February.
    11. Takayasu Ito, 2010. "Global financial crisis and US interest rate swap spreads," Applied Financial Economics, Taylor & Francis Journals, vol. 20(1-2), pages 37-43.
    12. Antti Suhonen, 1998. "Determinants of Swap Spreads in a Developing Financial Market: Evidence from Finland," European Financial Management, European Financial Management Association, vol. 4(3), pages 379-399, November.
    13. Jacob Boudoukh & Matthew Richardson & Robert F. Whitelaw, 1997. "Nonlinearities in the Relation Between the Equity Risk Premium and the Term Structure," Management Science, INFORMS, vol. 43(3), pages 371-385, March.
    14. Ilias Lekkos & Costas Milas, 2001. "Identifying the Factors that Affect Interest‐Rate Swap Spreads: Some Evidence from the United States and the United Kingdom," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(8), pages 737-768, August.
    15. Fang, Victor & Muljono, Ronny, 2003. "An empirical analysis of the Australian dollar swap spreads," Pacific-Basin Finance Journal, Elsevier, vol. 11(2), pages 153-173, April.
    16. Christian Fahrholz & Roman Goldbach, 2010. "Burying the Stability Pact: The Reanimation of Default Risk in the Euro Area," Global Financial Markets Working Paper Series 10-2010, Friedrich-Schiller-University Jena.
    17. Carolina Castagnetti, 2004. "Estimating the risk premium of swap spreads. Two econometric GARCH-based techniques," Applied Financial Economics, Taylor & Francis Journals, vol. 14(2), pages 93-104.
    18. Lang, Larry H. P. & Litzenberger, Robert H. & Luchuan Liu, Andy, 1998. "Determinants of interest rate swap spreads," Journal of Banking & Finance, Elsevier, vol. 22(12), pages 1507-1532, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Azad, A.S.M. Sohel & Batten, Jonathan A. & Fang, Victor, 2015. "What determines the yen swap spread?," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 1-13.
    2. Francis In & Sangbae Kim, 2012. "An Introduction to Wavelet Theory in Finance:A Wavelet Multiscale Approach," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 8431, August.
    3. Ying Huang & Carl R. Chen, 2007. "The effect of Fed monetary policy regimes on the US interest rate swap spreads," Review of Financial Economics, John Wiley & Sons, vol. 16(4), pages 375-399.
    4. Takayasu Ito, 2010. "Global financial crisis and US interest rate swap spreads," Applied Financial Economics, Taylor & Francis Journals, vol. 20(1-2), pages 37-43.
    5. Finbarr Murphy & Bernard Murphy, 2012. "A vector-autoregression analysis of credit and liquidity factor dynamics in US LIBOR and Euribor swap markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(2), pages 351-370, April.
    6. Ilias Lekkos & Costas Milas & Theodore Panagiotidis, 2005. "On the predictability of common risk factors in the US and UK interest rate swap markets: Evidence from non-linear and linear models," Discussion Paper Series 2005_9, Department of Economics, Loughborough University, revised Sep 2005.
    7. Jun Liu & Francis A. Longstaff & Ravit E. Mandell, 2006. "The Market Price of Risk in Interest Rate Swaps: The Roles of Default and Liquidity Risks," The Journal of Business, University of Chicago Press, vol. 79(5), pages 2337-2360, September.
    8. Sohel Azad, A.S.M. & Batten, Jonathan A. & Fang, Victor & Wickramanayake, Jayasinghe, 2015. "International swap market contagion and volatility," Economic Modelling, Elsevier, vol. 47(C), pages 355-371.
    9. Kenneth A. Tah, 2022. "Determinants of Interest rate swap spreads: A quantile regression approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(3), pages 522-534, July.
    10. Li, Shaoyu & Zhu, Chunhui & Shang, Yuhuang, 2023. "Hedging demand and near-zero swap spreads: Evidence from the Chinese interest rate swap market," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 170-185.
    11. Junji Shimada & Toyoharu Takahashi & Tatsuyoshi Miyakoshi & Yoshihiko Tsukuda, 2010. "Japanese Interest Rate Swap Pricing," TERG Discussion Papers 253, Graduate School of Economics and Management, Tohoku University.
    12. Cavit Pakel & Neil Shephard & Kevin Sheppard & Robert F. Engle, 2021. "Fitting Vast Dimensional Time-Varying Covariance Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(3), pages 652-668, July.
    13. Papaioannou, Elias & Portes, Richard & Siourounis, Gregorios, 2006. "Optimal currency shares in international reserves: The impact of the euro and the prospects for the dollar," Journal of the Japanese and International Economies, Elsevier, vol. 20(4), pages 508-547, December.
    14. Bubák, Vít & Kocenda, Evzen & Zikes, Filip, 2011. "Volatility transmission in emerging European foreign exchange markets," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2829-2841, November.
    15. Bill Russell & Dooruj Rambaccussing, 2019. "Breaks and the statistical process of inflation: the case of estimating the ‘modern’ long-run Phillips curve," Empirical Economics, Springer, vol. 56(5), pages 1455-1475, May.
    16. Chung, Hon-Lun & Chan, Wai-Sum, 2010. "Impact of credit spreads, monetary policy and convergence trading on swap spreads," International Review of Financial Analysis, Elsevier, vol. 19(2), pages 118-126, March.
    17. Green, Rikard & Larsson, Karl & Lunina, Veronika & Nilsson, Birger, 2018. "Cross-commodity news transmission and volatility spillovers in the German energy markets," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 231-243.
    18. Miguel A. Ferreira, 2005. "Evaluating Interest Rate Covariance Models Within a Value-at-Risk Framework," Journal of Financial Econometrics, Oxford University Press, vol. 3(1), pages 126-168.
    19. Caporin, Massimiliano & McAleer, Michael, 2014. "Robust ranking of multivariate GARCH models by problem dimension," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 172-185.
    20. Sébastien Laurent & Luc Bauwens & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109.

    More about this item

    Keywords

    credit risk; interest rates; multidimensional parametric models; semiparametric models; swap spread;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:psc:journl:v:4:y:2012:i:4:p:269-288. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Damian Jelito (email available below). General contact details of provider: http://cejeme.org/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.