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Contagion and Dynamic Correlation of the Main European Stock Index Futures Markets: A Time-frequency Approach

Author

Listed:
  • Claudiu Tiberiu Albulescu

    (UPT - Universității Politehnica Timișoara [România] = Polytechnic University of Timişoara [Romania] = Université polytechnique de Timișoara [Roumanie])

  • Daniel Goyeau

    (CRIEF [Poitiers] - Centre de recherche sur l'intégration économique et financière - UP - Université de Poitiers = University of Poitiers, Axe 2 (2011-2016) : « Marchés, Cultures de consommation, Autonomie et Migrations » (MSHS Poitiers) - MSHS de Poitiers - Maison des sciences de l'homme et de la société de Poitiers - UP - Université de Poitiers = University of Poitiers - CNRS - Centre National de la Recherche Scientifique, CPER INSECT - CPER "INnovation Sociale, Economique et Culturelle dans des Territoires en mutation" (MSHS Poitiers) - MSHS de Poitiers - Maison des sciences de l'homme et de la société de Poitiers [UAR 3565] - UP - Université de Poitiers = University of Poitiers - CNRS - Centre National de la Recherche Scientifique)

  • Aviral Kumar Tiwari

    (ICFAI University Tripura - ICFAI University Tripura)

Abstract

In this paper, we examine the financial contagion and dynamic correlation between three European stock index futures, namely FTSE 100, DAX 30 and CAC 40. For this purpose we resort to a continuous wavelet transform framework and we cover the aftermath of the sovereign debt crisis period. More precisely, we analyze the power spectrum of the series, the wavelet coherency and the average dynamic correlation before and after turbulence episodes occurred after the outburst of the sovereign debt crisis. Our results show that the stock index futures are highly correlated and this correlation increases around financial distress episodes. The contagion phenomenon, associated with a high-frequency correlation, manifested especially after the additional rescue package awarded to Greece. All in all, the dynamic correlation is influenced by the frequency decomposition level and fluctuates considerably in the very long-run.

Suggested Citation

  • Claudiu Tiberiu Albulescu & Daniel Goyeau & Aviral Kumar Tiwari, 2015. "Contagion and Dynamic Correlation of the Main European Stock Index Futures Markets: A Time-frequency Approach," Post-Print hal-01376756, HAL.
    • Handle: RePEc:hal:journl:hal-01376756
    DOI: 10.1016/S2212-5671(15)00042-8
    Note: View the original document on HAL open archive server: https://hal.science/hal-01376756
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    3. Carlos David Cardona-Arenas & Rafael Gómez-Gómez & Eliana Morales-Zuluaga, 2023. "COVID-19 and its short-term informational impact on the stock markets of the Pacific Alliance countries," SN Business & Economics, Springer, vol. 3(5), pages 1-23, May.
    4. Avishek Bhandari & Kamaiah Bandi, 2018. "On the Dynamics of Inflation-Stock Returns in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(1), pages 89-99, March.
    5. Alexakis, Christos & Pappas, Vasileios, 2018. "Sectoral dynamics of financial contagion in Europe - The cases of the recent crises episodes," Economic Modelling, Elsevier, vol. 73(C), pages 222-239.
    6. Zainudin, Ahmad Danial & Mohamad, Azhar, 2021. "Financial contagion in the futures markets amidst global geo-economic events," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 288-308.
    7. Apergis, Nicholas & Lau, Marco Chi Keung & Yarovaya, Larisa, 2016. "Media sentiment and CDS spread spillovers: Evidence from the GIIPS countries," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 50-59.
    8. Abhibasu Sen & Prof. Karabi Dutta Chaudhury, 2019. "On the Co-movement of Crude, Gold Prices and Stock Index in Indian Market," Papers 1904.05317, arXiv.org.
    9. Yarovaya, Larisa & Brzeszczyński, Janusz & Goodell, John W. & Lucey, Brian & Lau, Chi Keung Marco, 2022. "Rethinking financial contagion: Information transmission mechanism during the COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    10. 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.

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