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Macroeconomic determinants of European stock and government bond relations: a tale of two regions

Author

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  • Erica Perego

    (CREA, Université du Luxembourg)

  • Wessel N. Vermeulen

    (CREA, Université du Luxembourg)

Abstract

This paper studies the dynamic correlation between stocks, between government bonds and between stocks and bonds within the Euro-zone in the last decade. In order to better understand the development of the financial market we argue that it is necessary to analyse all such relations simultaneously rather than focus at one. We firstly calculate the dynamic correlation for the previous asset classes. Results presented at the asset-region level, i.e. north-stock, north-bonds, south-stocks and south-bonds, visualise the divergence in integration in Europe and highlight the he- terogeneity in these markets. Secondly, we study the macroeconomic factors that determine these correlations. We find that, when we allow for regional division, not only cross-asset correlations within regions behave differently from each other, but also cross-assets cross-regions dynamic correlations can be explained with ma- croeconomic factors such as the relative market uncertainty between countries and balance of payments dynamics.

Suggested Citation

  • Erica Perego & Wessel N. Vermeulen, 2013. "Macroeconomic determinants of European stock and government bond relations: a tale of two regions," DEM Discussion Paper Series 13-08, Department of Economics at the University of Luxembourg.
    • Handle: RePEc:luc:wpaper:13-08
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    File URL: https://hdl.handle.net/10993/10964
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    References listed on IDEAS

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    1. Campbell, John Y & Ammer, John, 1993. "What Moves the Stock and Bond Markets? A Variance Decomposition for Long-Term Asset Returns," Journal of Finance, American Finance Association, vol. 48(1), pages 3-37, March.
    2. 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..
    3. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    4. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    5. 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.
    6. 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.
    7. Suk-Joong Kim & Fari Moshirian & Eliza Wu, 2018. "Evolution of International Stock and Bond Market Integration: Influence of the European Monetary Union," World Scientific Book Chapters, in: Information Spillovers and Market Integration in International Finance Empirical Analyses, chapter 12, pages 391-428, World Scientific Publishing Co. Pte. Ltd..
    8. Magnus Andersson & Elizaveta Krylova & Sami Vahamaa, 2007. "Why does the correlation between stock and bond returns vary over time?," Applied Financial Economics, Taylor & Francis Journals, vol. 18(2), pages 139-151.
    9. 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.
    10. Salvador Barrios & Per Iversen & Magdalena Lewandowska & Ralph Setzer, 2009. "Determinants of intra-euro area government bond spreads during the financial crisis," European Economy - Economic Papers 2008 - 2015 388, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    11. 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.
    12. Ms. Florence Jaumotte & Piyaporn Sodsriwiboon, 2010. "Current Account Imbalances in the Southern Euro Area," IMF Working Papers 2010/139, International Monetary Fund.
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    Cited by:

    1. Skintzi, Vasiliki D., 2019. "Determinants of stock-bond market comovement in the Eurozone under model uncertainty," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 20-28.
    2. Jammazi, Rania & Tiwari, Aviral Kr. & Ferrer, Román & Moya, Pablo, 2015. "Time-varying dependence between stock and government bond returns: International evidence with dynamic copulas," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 74-93.
    3. Filipe, Sara Ferreira & Grammatikos, Theoharry & Michala, Dimitra, 2016. "Forecasting distress in European SME portfolios," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 112-135.
    4. Conrad, Christian & Stuermer, Karin, 2017. "On the economic determinants of optimal stock-bond portfolios: international evidence," Working Papers 0636, University of Heidelberg, Department of Economics.
    5. Gomes, Pedro & Taamouti, Abderrahim, 2016. "In search of the determinants of European asset market comovements," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 103-117.

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    More about this item

    Keywords

    Currency union; financial markets; time-varying correlation.;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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