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Integration or fragmentation? A closer look at euro area financial markets

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  • Martin Feldkircher
  • Karin Klieber

Abstract

This paper examines the degree of integration at euro area financial markets. To that end, we estimate overall and country-specific integration indices based on a panel vector-autoregression with factor stochastic volatility. Our results indicate a more heterogeneous bond market compared to the market for lending rates. At both markets, the global financial crisis and the sovereign debt crisis led to a severe decline in financial integration, which fully recovered since then. We furthermore identify countries that deviate from their peers either by responding differently to crisis events or by taking on different roles in the spillover network. The latter analysis reveals two set of countries, namely a main body of countries that receives and transmits spillovers and a second, smaller group of spillover absorbing economies. Finally, we demonstrate by estimating an augmented Taylor rule that euro area short-term interest rates are positively linked to the level of integration on the bond market.

Suggested Citation

  • Martin Feldkircher & Karin Klieber, 2023. "Integration or fragmentation? A closer look at euro area financial markets," Papers 2310.07790, arXiv.org.
  • Handle: RePEc:arx:papers:2310.07790
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    1. Guillaume Horny & Simone Manganelli & Benoit Mojon, 2018. "Measuring Financial Fragmentation in the Euro Area Corporate Bond Market," JRFM, MDPI, vol. 11(4), pages 1-19, October.
    2. Fernández-Rodríguez, Fernando & Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2016. "Using connectedness analysis to assess financial stress transmission in EMU sovereign bond market volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 126-145.
    3. Niccolò Battistini & Marco Pagano & Saverio Simonelli, 2014. "Systemic risk, sovereign yields and bank exposures in the euro crisis [Real effects of the sovereign debt crises in Europe: evidence from syndicated loans]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 29(78), pages 203-251.
    4. Kastner, Gregor, 2019. "Sparse Bayesian time-varying covariance estimation in many dimensions," Journal of Econometrics, Elsevier, vol. 210(1), pages 98-115.
    5. Pungulescu, Crina, 2013. "Measuring financial market integration in the European Union: EU15 vs. New Member States," Emerging Markets Review, Elsevier, vol. 17(C), pages 106-124.
    6. Aguilar, Omar & West, Mike, 2000. "Bayesian Dynamic Factor Models and Portfolio Allocation," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(3), pages 338-357, July.
    7. Florian Huber & Martin Feldkircher, 2019. "Adaptive Shrinkage in Bayesian Vector Autoregressive Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(1), pages 27-39, January.
    8. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
    9. Roman Horvath, 2018. "Financial market fragmentation and monetary transmission in the euro area: what do we know?," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 21(4), pages 319-334, October.
    10. Candelon, Bertrand & Luisi, Angelo & Roccazzella, Francesco, 2022. "Fragmentation in the European Monetary Union: Is it really over?," Journal of International Money and Finance, Elsevier, vol. 122(C).
    11. Hoffmann, Peter & Kremer, Manfred & Zaharia, Sonia, 2020. "Financial integration in Europe through the lens of composite indicators," Economics Letters, Elsevier, vol. 194(C).
    12. Gregor Kastner & Florian Huber, 2020. "Sparse Bayesian vector autoregressions in huge dimensions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(7), pages 1142-1165, November.
    13. Antonakakis, Nikolaos & Vergos, Konstantinos, 2013. "Sovereign bond yield spillovers in the Euro zone during the financial and debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 258-272.
    14. Krippner, Leo, 2013. "Measuring the stance of monetary policy in zero lower bound environments," Economics Letters, Elsevier, vol. 118(1), pages 135-138.
    15. Janko Gorter & Jan Jacobs & Jakob De Haan, 2008. "Taylor Rules for the ECB using Expectations Data," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(3), pages 473-488, September.
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