[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/zbw/ifwedp/201797.html
   My bibliography  Save this paper

Time varying and asymmetric effect between sovereign credit market and financial market: The asymmetric DCC model

Author

Listed:
  • El Abed, Riadh
  • Zardoub, Amna
Abstract
This study examines the interdependence between the daily euro zone sovereign CDS index and four financial market sectors such as, banking CDS market (CDSb), underlying sovereign market (BONDs), stock market (BMI) and future interest rate benchmark of the bunds obligation (EUROBOBL). Focusing on different phases of the sovereign debt crises, the aim of this paper is to examine how the dynamics of correlations between the CDSs and financial market indicators evolved from September 20, 2011 to February 12, 2016. To this end, the A-DCC model allowing for conditional asymmetries in covariance and correlation dynamics has been adopted to examine the presence of asymmetric responses in correlations during periods of negative shocks. The empirical findings indicate a general pattern increase in correlations during the phase of the sovereign debt crisis, suggesting the spillover effect of the CDS index and financial market indicators.

Suggested Citation

  • El Abed, Riadh & Zardoub, Amna, 2017. "Time varying and asymmetric effect between sovereign credit market and financial market: The asymmetric DCC model," Economics Discussion Papers 2017-97, Kiel Institute for the World Economy (IfW Kiel).
    • Handle: RePEc:zbw:ifwedp:201797
    as

    Download full text from publisher

    File URL: http://www.economics-ejournal.org/economics/discussionpapers/2017-97
    Download Restriction: no
    File URL: https://www.econstor.eu/bitstream/10419/171372/1/100559161X.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Beirne, John & Fratzscher, Marcel, 2013. "The pricing of sovereign risk and contagion during the European sovereign debt crisis," Journal of International Money and Finance, Elsevier, vol. 34(C), pages 60-82.
    2. Wang, Alan T. & Yang, Sheng-Yung & Yang, Nien-Tzu, 2013. "Information transmission between sovereign debt CDS and other financial factors – The case of Latin America," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 586-601.
    3. Luc Bauwens & Sébastien Laurent & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109, January.
    4. Lorenzo Cappiello & Robert F. Engle & Kevin Sheppard, 2006. "Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns," Journal of Financial Econometrics, Oxford University Press, vol. 4(4), pages 537-572.
    5. Riadh El Abed & Samir Maktouf, 2015. "Long Memory and Asymmetric Effects between Exchange Rates and Stock Returns," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 5(6), pages 1-4.
    6. A. I. McLeod & W. K. Li, 1983. "Diagnostic Checking Arma Time Series Models Using Squared‐Residual Autocorrelations," Journal of Time Series Analysis, Wiley Blackwell, vol. 4(4), pages 269-273, July.
    7. Toyoshima, Yuki & Hamori, Shigeyuki, 2013. "Asymmetric dynamics in stock market correlations: Evidence from Japan and Singapore," Journal of Asian Economics, Elsevier, vol. 24(C), pages 117-123.
    8. Gibson, Heather D. & Hall, Stephen G. & Tavlas, George S., 2014. "Fundamentally Wrong: Market Pricing of Sovereigns and the Greek Financial Crisis," Journal of Macroeconomics, Elsevier, vol. 39(PB), pages 405-419.
    9. Toyoshima, Yuki & Tamakoshi, Go & Hamori, Shigeyuki, 2012. "Asymmetric dynamics in correlations of treasury and swap markets: Evidence from the US market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(2), pages 381-394.
    10. Fender, Ingo & Hayo, Bernd & Neuenkirch, Matthias, 2012. "Daily pricing of emerging market sovereign CDS before and during the global financial crisis," Journal of Banking & Finance, Elsevier, vol. 36(10), pages 2786-2794.
    11. Engle, Robert F & Ng, Victor K, 1993. "Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    12. Jorge Pérez-Rodríguez, 2006. "The Euro and Other Major Currencies Floating Against the U.S. Dollar," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 34(4), pages 367-384, December.
    13. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    14. Groba, Jonatan & Lafuente, Juan A. & Serrano, Pedro, 2013. "The impact of distressed economies on the EU sovereign market," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2520-2532.
    15. Aizenman, Joshua & Hutchison, Michael & Jinjarak, Yothin, 2013. "What is the risk of European sovereign debt defaults? Fiscal space, CDS spreads and market pricing of risk," Journal of International Money and Finance, Elsevier, vol. 34(C), pages 37-59.
    16. Kenourgios, Dimitris & Samitas, Aristeidis & Paltalidis, Nikos, 2011. "Financial crises and stock market contagion in a multivariate time-varying asymmetric framework," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(1), pages 92-106, February.
    17. Zinna, Gabriele, 2013. "Sovereign default risk premia: Evidence from the default swap market," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 15-35.
    18. Gibson, Heather D. & Hall, Stephen G. & Tavlas, George S., 2012. "The Greek financial crisis: Growing imbalances and sovereign spreads," Journal of International Money and Finance, Elsevier, vol. 31(3), pages 498-516.
    19. Hassan, M. Kabir & Ngene, Geoffrey M. & Yu, Jung-Suk, 2015. "Credit default swaps and sovereign debt markets," Economic Systems, Elsevier, vol. 39(2), pages 240-252.
    20. Tamakoshi, Go & Hamori, Shigeyuki, 2014. "Co-movements among major European exchange rates: A multivariate time-varying asymmetric approach," International Review of Economics & Finance, Elsevier, vol. 31(C), pages 105-113.
    21. Samitas, Aristeidis & Tsakalos, Ioannis, 2013. "How can a small country affect the European economy? The Greek contagion phenomenon," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 25(C), pages 18-32.
    22. Bollerslev, Tim, 1987. "A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 542-547, August.
    23. Tse, Y K & Tsui, Albert K C, 2002. "A Multivariate Generalized Autoregressive Conditional Heteroscedasticity Model with Time-Varying Correlations," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 351-362, July.
    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. Riadh Abed & Amna Zardoub, 2019. "On the co-movements among gold and other financial markets: a multivariate time-varying asymmetric approach," International Economics and Economic Policy, Springer, vol. 16(4), pages 701-719, October.
    2. Riadh El Abed & Sahar Boukadida & Warda Jaidane, 2019. "Financial Stress Transmission from Sovereign Credit Market to Financial Market: A Multivariate FIGARCH-DCC Approach," Global Business Review, International Management Institute, vol. 20(5), pages 1122-1140, October.
    3. Zouheir Mighri, 2018. "On the Dynamic Linkages Among International Emerging Currencies," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(2), pages 427-473, June.
    4. Graham Bird & Wenti Du & Eric Pentecost & Thomas Willett, 2017. "Was it different the second time? An empirical analysis of contagion during the crises in Greece 2009–15," The World Economy, Wiley Blackwell, vol. 40(12), pages 2530-2542, December.
    5. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2013. "Financial Risk Measurement for Financial Risk Management," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1127-1220, Elsevier.
    6. Hassan, Kamrul & Hoque, Ariful & Gasbarro, Dominic, 2017. "Sovereign default risk linkage: Implication for portfolio diversification," Pacific-Basin Finance Journal, Elsevier, vol. 41(C), pages 1-16.
    7. Hou, Yang & Li, Steven, 2016. "Information transmission between U.S. and China index futures markets: An asymmetric DCC GARCH approach," Economic Modelling, Elsevier, vol. 52(PB), pages 884-897.
    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. Zouheir Mighri & Faysal Mansouri, 2014. "Modeling international stock market contagion using multivariate fractionally integrated APARCH approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-25, December.
    10. Roumpis, Efthymios & Syriopoulos, Theodore, 2014. "Dynamics and risk factors in hedge funds returns: Implications for portfolio construction and performance evaluation," The Journal of Economic Asymmetries, Elsevier, vol. 11(C), pages 58-77.
    11. Sofiane Aboura & Julien Chevallier, 2014. "Cross‐market spillovers with ‘volatility surprise’," Review of Financial Economics, John Wiley & Sons, vol. 23(4), pages 194-207, November.
    12. repec:ipg:wpaper:2014-469 is not listed on IDEAS
    13. Das, Suman & Roy, Saikat Sinha, 2023. "Following the leaders? A study of co-movement and volatility spillover in BRICS currencies," Economic Systems, Elsevier, vol. 47(2).
    14. Roberto Casarin & Marco Tronzano & Domenico Sartore, 2013. "Bayesian Markov Switching Stochastic Correlation Models," Working Papers 2013:11, Department of Economics, University of Venice "Ca' Foscari".
    15. R. Khalfaoui & M. Boutahar, 2012. "Portfolio Risk Evaluation: An Approach Based on Dynamic Conditional Correlations Models and Wavelet Multi-Resolution Analysis," Working Papers halshs-00793068, HAL.
    16. Philippas, Dionisis & Siriopoulos, Costas, 2013. "Putting the “C” into crisis: Contagion, correlations and copulas on EMU bond markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 161-176.
    17. Sofiane Aboura & Julien Chevallier, 2014. "Cross-Market Spillovers with ‘Volatility Surprise’," Working Papers hal-04141310, HAL.
    18. Kenourgios, Dimitris, 2014. "On financial contagion and implied market volatility," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 21-30.
    19. Karanasos, Menelaos & Yfanti, Stavroula & Karoglou, Michail, 2016. "Multivariate FIAPARCH modelling of financial markets with dynamic correlations in times of crisis," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 332-349.
    20. Ana Escribano & Cristina Íñiguez, 2021. "The contagion phenomena of the Brexit process on main stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4462-4481, July.
    21. repec:got:cegedp:89 is not listed on IDEAS
    22. Kühl, Michael, 2009. "Excess comovements between the Euro/US dollar and British pound/US dollar exchange rates," University of Göttingen Working Papers in Economics 89, University of Goettingen, Department of Economics.

    More about this item

    Keywords

    A-DCC model; EGARCH; asymmetries; CDSs and financial market indicators;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

    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:zbw:ifwedp:201797. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/iwkiede.html .

    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.