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Macro-economic determinants of European stock and government bond correlations: A tale of two regions

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  • Perego, Erica R.
  • Vermeulen, Wessel N.

Abstract

This paper presents an analysis of Euro-zone financial markets based on a joint assessment of bonds, stocks and stock–bond correlations between groups of Euro-zone countries. The quarterly component of dynamic correlations indicates the divergence of integration in Europe and highlights the heterogeneity in these markets. Panel regressions on these dynamic correlations, controlling for unobserved heterogeneity, offer new insights into the role of macro-economic determinants of financial markets between assets and regions. This combined analysis of markets provides evidence on the importance of macro-economic factors such as inflation, uncertainty, debt, current account and economic growth in European financial integration. These factors may be overlooked when analysing a single market for individual pairs of countries. As a result we find that the robust role of economic fundamentals in European financial market correlations points to the need for European economic integration based on sound macro-economic fundamentals for both current and future Euro-zone members.

Suggested Citation

  • Perego, Erica R. & Vermeulen, Wessel N., 2016. "Macro-economic determinants of European stock and government bond correlations: A tale of two regions," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 214-232.
  • Handle: RePEc:eee:empfin:v:37:y:2016:i:c:p:214-232
    DOI: 10.1016/j.jempfin.2016.04.002
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    3. 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.
    4. 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.
    5. Honghai Yu & Wencong Sun & Xiangting Ye & Libing Fang, 2019. "Measuring the increasing connectedness of Chinese assets with global assets: using a variance decompositions method," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(5), pages 1261-1290, March.
    6. José Luis Miralles‐Quirós & María Mar Miralles‐Quirós & José Manuel Nogueira, 2019. "Diversification benefits of using exchange‐traded funds in compliance to the sustainable development goals," Business Strategy and the Environment, Wiley Blackwell, vol. 28(1), pages 244-255, January.
    7. Pradhan, Rudra & Arvin, Mak & Norman, Neville & Bahmani, Sahar, 2020. "The dynamics of bondmarket development, stockmarket development and economic growth: Evidence from the G-20 countries," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 25(49), pages 119-147.
    8. Fang, Libing & Yu, Honghai & Huang, Yingbo, 2018. "The role of investor sentiment in the long-term correlation between U.S. stock and bond markets," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 127-139.
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    10. Fang, Libing & Yu, Honghai & Li, Lei, 2017. "The effect of economic policy uncertainty on the long-term correlation between U.S. stock and bond markets," Economic Modelling, Elsevier, vol. 66(C), pages 139-145.
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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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