IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v490y2018icp1211-1227.html
   My bibliography  Save this article

A pre-crisis vs. crisis analysis of peripheral EU stock markets by means of wavelet transform and a nonlinear causality test

Author

Listed:
  • Polanco-Martínez, J.M.
  • Fernández-Macho, J.
  • Neumann, M.B.
  • Faria, S.H.

Abstract

This paper presents an analysis of EU peripheral (so-called PIIGS) stock market indices and the S&P Europe 350 index (SPEURO), as a European benchmark market, over the pre-crisis (2004–2007) and crisis (2008–2011) periods. We computed a rolling-window wavelet correlation for the market returns and applied a non-linear Granger causality test to the wavelet decomposition coefficients of these stock market returns. Our results show that the correlation is stronger for the crisis than for the pre-crisis period. The stock market indices from Portugal, Italy and Spain were more interconnected among themselves during the crisis than with the SPEURO. The stock market from Portugal is the most sensitive and vulnerable PIIGS member, whereas the stock market from Greece tends to move away from the European benchmark market since the 2008 financial crisis till 2011. The non-linear causality test indicates that in the first three wavelet scales (intraweek, weekly and fortnightly) the number of uni-directional and bi-directional causalities is greater during the crisis than in the pre-crisis period, because of financial contagion. Furthermore, the causality analysis shows that the direction of the Granger cause–effect for the pre-crisis and crisis periods is not invariant in the considered time-scales, and that the causality directions among the studied stock markets do not seem to have a preferential direction. These results are relevant to better understand the behaviour of vulnerable stock markets, especially for investors and policymakers.

Suggested Citation

  • Polanco-Martínez, J.M. & Fernández-Macho, J. & Neumann, M.B. & Faria, S.H., 2018. "A pre-crisis vs. crisis analysis of peripheral EU stock markets by means of wavelet transform and a nonlinear causality test," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1211-1227.
  • Handle: RePEc:eee:phsmap:v:490:y:2018:i:c:p:1211-1227
    DOI: 10.1016/j.physa.2017.08.065
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437117307914
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dewandaru, Ginanjar & Masih, Rumi & Masih, A. Mansur M., 2016. "What can wavelets unveil about the vulnerabilities of monetary integration? A tale of Eurozone stock markets," Economic Modelling, Elsevier, vol. 52(PB), pages 981-996.
    2. Renatas Kizys & Christian Pierdzioch, 2011. "Contagious speculative bubbles: A note on the Greek sovereign debt crisis," Economics Bulletin, AccessEcon, vol. 31(4), pages 296-296.
    3. Kalbaska, A. & Gątkowski, M., 2012. "Eurozone sovereign contagion: Evidence from the CDS market (2005–2010)," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 657-673.
    4. Syriopoulos, Theodore, 2007. "Dynamic linkages between emerging European and developed stock markets: Has the EMU any impact?," International Review of Financial Analysis, Elsevier, vol. 16(1), pages 41-60.
    5. Economou, Fotini & Kostakis, Alexandros & Philippas, Nikolaos, 2011. "Cross-country effects in herding behaviour: Evidence from four south European markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(3), pages 443-460, July.
    6. Suk-Joong Kim & Fari Moshirian & Eliza Wu, 2018. "Dynamic Stock Market Integration Driven by the European Monetary Union: An Empirical Analysis," World Scientific Book Chapters,in: Information Spillovers and Market Integration in International Finance Empirical Analyses, chapter 10, pages 305-368 World Scientific Publishing Co. Pte. Ltd..
    7. Diks Cees & Panchenko Valentyn, 2005. "A Note on the Hiemstra-Jones Test for Granger Non-causality," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(2), pages 1-9, June.
    8. Ferreira, Paulo & Dionísio, Andreia & Zebende, G.F., 2016. "Why does the Euro fail? The DCCA approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 543-554.
    9. Kristin J. Forbes & Roberto Rigobon, 2002. "No Contagion, Only Interdependence: Measuring Stock Market Comovements," Journal of Finance, American Finance Association, vol. 57(5), pages 2223-2261, October.
    10. Gallegati, Marco, 2008. "Wavelet analysis of stock returns and aggregate economic activity," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3061-3074, February.
    11. Mollah, Sabur & Quoreshi, A.M.M. Shahiduzzaman & Zafirov, Goran, 2016. "Equity market contagion during global financial and Eurozone crises: Evidence from a dynamic correlation analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 151-167.
    12. Sander, Harald & Kleimeier, Stefanie, 2003. "Contagion and causality: an empirical investigation of four Asian crisis episodes," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(2), pages 171-186, April.
    13. Bodart, Vincent & Candelon, Bertrand, 2009. "Evidence of interdependence and contagion using a frequency domain framework," Emerging Markets Review, Elsevier, vol. 10(2), pages 140-150, June.
    14. Jian Yang & Insik Min & Qi Li, 2003. "European Stock Market Integration: Does EMU Matter?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30(9-10), pages 1253-1276.
    15. Tiwari, Aviral Kumar & Mutascu, Mihai Ioan & Albulescu, Claudiu Tiberiu, 2016. "Continuous wavelet transform and rolling correlation of European stock markets," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 237-256.
    16. Arghyrou, Michael G. & Kontonikas, Alexandros, 2012. "The EMU sovereign-debt crisis: Fundamentals, expectations and contagion," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(4), pages 658-677.
    17. Dionisio, Andreia & Menezes, Rui & Mendes, Diana A., 2007. "On the integrated behaviour of non-stationary volatility in stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 58-65.
    18. Giacomo Livan & Jun-ichi Inoue & Enrico Scalas, 2012. "On the non-stationarity of financial time series: impact on optimal portfolio selection," Papers 1205.0877, arXiv.org, revised Jul 2012.
    19. Gallegati, Marco, 2012. "A wavelet-based approach to test for financial market contagion," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3491-3497.
    20. Bell, David & Kay, Jim & Malley, Jim, 1996. "A non-parametric approach to non-linear causality testing," Economics Letters, Elsevier, vol. 51(1), pages 7-18, April.
    21. Su, Liangjun & White, Halbert, 2008. "A Nonparametric Hellinger Metric Test For Conditional Independence," Econometric Theory, Cambridge University Press, vol. 24(04), pages 829-864, August.
    22. Zunino, Luciano & Bariviera, Aurelio F. & Guercio, M. Belén & Martinez, Lisana B. & Rosso, Osvaldo A., 2016. "Monitoring the informational efficiency of European corporate bond markets with dynamical permutation min-entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 1-9.
    23. Gikas A. Hardouvelis & Dimitrios Malliaropulos & Richard Priestley, 2006. "EMU and European Stock Market Integration," The Journal of Business, University of Chicago Press, vol. 79(1), pages 365-392, January.
    24. Jussi Nikkinen & Seppo Pynnönen & Mikko Ranta & Sami Vähämaa, 2011. "Cross‐dynamics of exchange rate expectations: a wavelet analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 16(3), pages 205-217, July.
    25. Andreas S. Chouliaras & Apostolos G. Christopoulos & Dimitris Kenourgios & Petros Kalantonis, 2012. "The PIIGS stock markets before and after the 2008 financial crisis: a dynamic cointegration and causality analysis," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 4(3), pages 232-249.
    26. Kee-Hong Bae & G. Andrew Karolyi & René M. Stulz, 2003. "A New Approach to Measuring Financial Contagion," Review of Financial Studies, Society for Financial Studies, vol. 16(3), pages 717-763, July.
    27. Holger Zemanek, 2010. "Competitiveness Within The Euro Area: The Problem That Still Needs To Be Solved," Economic Affairs, Wiley Blackwell, vol. 30(3), pages 42-47, October.
    28. Bekiros, Stelios D. & Diks, Cees G.H., 2008. "The relationship between crude oil spot and futures prices: Cointegration, linear and nonlinear causality," Energy Economics, Elsevier, vol. 30(5), pages 2673-2685, September.
    29. R. Cont, 2001. "Empirical properties of asset returns: stylized facts and statistical issues," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 223-236.
    30. Robert Savit, 1988. "When random is not random: An introduction to chaos in market prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 8(3), pages 271-290, June.
    31. Razdan, Ashok, 2004. "Wavelet correlation coefficient of ‘strongly correlated’ time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 333(C), pages 335-342.
    32. Diks, Cees & Panchenko, Valentyn, 2006. "A new statistic and practical guidelines for nonparametric Granger causality testing," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1647-1669.
    33. Colm Kearney, 1998. "The Causes Of Volatility In A Small, Internationally Integrated Stock Market: Ireland, July 1975–June 1994," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 21(1), pages 85-104, March.
    34. Go Tamakoshi & Shigeyuki Hamori, 2011. "Transmission of stock prices amongst European countries before and during the Greek sovereign debt crisis," Economics Bulletin, AccessEcon, vol. 31(4), pages 3339-3353.
    35. Dionisio, Andreia & Menezes, Rui & Mendes, Diana A., 2004. "Mutual information: a measure of dependency for nonlinear time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(1), pages 326-329.
    36. Don Bredin & Stuart Hyde, 2008. "Regime Change and the Role of International Markets on the Stock Returns of Small Open Economies," European Financial Management, European Financial Management Association, vol. 14(2), pages 315-346.
    37. 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.
    38. Benhmad, François, 2013. "Bull or bear markets: A wavelet dynamic correlation perspective," Economic Modelling, Elsevier, vol. 32(C), pages 576-591.
    39. Josué M. Polanco-Martínez & Luis M. Abadie, 2016. "Analyzing Crude Oil Spot Price Dynamics versus Long Term Future Prices: A Wavelet Analysis Approach," Energies, MDPI, Open Access Journal, vol. 9(12), pages 1-19, December.
    40. Rua, António & Nunes, Luís C., 2009. "International comovement of stock market returns: A wavelet analysis," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 632-639, September.
    41. Bessler, David A. & Yang, Jian, 2003. "The structure of interdependence in international stock markets," Journal of International Money and Finance, Elsevier, vol. 22(2), pages 261-287, April.
    42. Fratzscher, Marcel, 2002. "Financial Market Integration in Europe: On the Effects of EMU on Stock Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 7(3), pages 165-193, July.
    43. Silvo Dajcman & Mejra Festic & Alenka Kavkler, 2012. "European stock market comovement dynamics during some major financial market turmoils in the period 1997 to 2010 -- a comparative DCC-GARCH and wavelet correlation analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 19(13), pages 1249-1256, September.
    44. Hiemstra, Craig & Jones, Jonathan D, 1994. " Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
    45. repec:eee:finlet:v:22:y:2017:i:c:p:163-168 is not listed on IDEAS
    46. Sandoval, Leonidas & Franca, Italo De Paula, 2012. "Correlation of financial markets in times of crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(1), pages 187-208.
    47. Hossein Kazemi & Niloufer Sohrabji, 2012. "Contagion in Europe: Examining the PIIGS Crisis," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 18(4), pages 455-456, November.
    48. Mikko Ranta, 2013. "Contagion among major world markets: a wavelet approach," International Journal of Managerial Finance, Emerald Group Publishing, vol. 9(2), pages 133-149, March.
    49. Bariviera, A.F. & Guercio, M. Belén & Martinez, Lisana B., 2012. "A comparative analysis of the informational efficiency of the fixed income market in seven European countries," Economics Letters, Elsevier, vol. 116(3), pages 426-428.
    50. Aurelio Fernández Bariviera & M. Belén Guercio & Lisana B. Martinez, 2014. "Informational Efficiency in Distressed Markets: The Case of European Corporate Bonds," The Economic and Social Review, Economic and Social Studies, vol. 45(3), pages 349-369.
    51. repec:kap:iaecre:v:18:y:2012:i:4:p:455-456 is not listed on IDEAS
    52. Barry Harrison & Radu Lupu & Iulia Lupu, 2010. "Statistical Properties of the CEE Stock Market Dynamics. A Panel Data Analysis," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 13(37), pages 41-54, September.
    53. Hahn Shik Lee, 2004. "International transmission of stock market movements: a wavelet analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 11(3), pages 197-201.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:eee:appene:v:228:y:2018:i:c:p:1550-1560 is not listed on IDEAS

    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:eee:phsmap:v:490:y:2018:i:c:p:1211-1227. 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: (Dana Niculescu). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.