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Unconventional Monetary Policy and Bond Market Connectedness in the New Normal

Author

Listed:
  • Umut Akovali

    (Koc University)

  • Kamil Yilmaz

    (Koc University)

Abstract

Since the global financial crisis, major central banks gradually switched to unconventional monetary policies (UMPs) as part of their efforts to directly influence the long-term interest rates. This study analyzes the impact of conventional/unconventional monetary policies on sovereign bond return spillovers across countries and maturities since February 2007. Following the Taper Tantrum of mid-2013 and the ECB’s policy convergence to other major central banks in 2015, the long-term return connectedness across countries increased, overtaking the short-term connectedness and lowering the dispersion of connectedness measures across maturities. Over the same period, net connectedness from short- to long-term maturities weakens, while net connectedness from medium- to long-term maturities stays strong. Finally, panel regression results show that UMPs in the form of higher central bank asset ratios led to higher pairwise long-term return connectedness even when the control variables such as trade and portfolio investment flows and the distance between pairs of countries are included in regression analysis.

Suggested Citation

  • Umut Akovali & Kamil Yilmaz, 2021. "Unconventional Monetary Policy and Bond Market Connectedness in the New Normal," Koç University-TUSIAD Economic Research Forum Working Papers 2101, Koc University-TUSIAD Economic Research Forum.
  • Handle: RePEc:koc:wpaper:2101
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    References listed on IDEAS

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    1. Christoph Trebesch & Jeromin Zettelmeyer, 2018. "ECB Interventions in Distressed Sovereign Debt Markets: The Case of Greek Bonds," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 66(2), pages 287-332, June.
    2. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    3. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    4. 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.
    5. Arvind Krishnamurthy & Annette Vissing-Jorgensen, 2011. "The Effects of Quantitative Easing on Interest Rates: Channels and Implications for Policy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 42(2 (Fall)), pages 215-287.
    6. Schuknecht, Ludger & von Hagen, Jürgen & Wolswijk, Guido, 2009. "Government risk premiums in the bond market: EMU and Canada," European Journal of Political Economy, Elsevier, vol. 25(3), pages 371-384, September.
    7. Bernoth, Kerstin & von Hagen, Jürgen & Schuknecht, Ludger, 2004. "Sovereign risk premia in the European government bond market," ZEI Working Papers B 26-2003, University of Bonn, ZEI - Center for European Integration Studies.
    8. Alter, Adrian & Schüler, Yves S., 2012. "Credit spread interdependencies of European states and banks during the financial crisis," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3444-3468.
    9. Glenn D. Rudebusch & Tao Wu, 2008. "A Macro‐Finance Model of the Term Structure, Monetary Policy and the Economy," Economic Journal, Royal Economic Society, vol. 118(530), pages 906-926, July.
    10. 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.
    11. Nowak, Sylwia & Andritzky, Jochen & Jobst, Andreas & Tamirisa, Natalia, 2011. "Macroeconomic fundamentals, price discovery, and volatility dynamics in emerging bond markets," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2584-2597, October.
    12. Marcel Fratzscher & Marco Lo Duca & Roland Straub, 2018. "On the International Spillovers of US Quantitative Easing," Economic Journal, Royal Economic Society, vol. 128(608), pages 330-377, February.
    13. Thomas Conefrey & David Cronin, 2015. "Spillover in Euro Area Sovereign Bond Markets," The Economic and Social Review, Economic and Social Studies, vol. 46(2), pages 197-231.
    14. Claeys, Peter & Vašíček, Bořek, 2014. "Measuring bilateral spillover and testing contagion on sovereign bond markets in Europe," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 151-165.
    15. Nyholm, Ken, 2016. "US-euro area term structure spillovers, implications for central banks," Working Paper Series 1980, European Central Bank.
    16. Attinasi, Maria Grazia & Checherita-Westphal, Cristina & Nickel, Christiane, 2009. "What explains the surge in euro area sovereign spreads during the financial crisis of 2007-09?," Working Paper Series 1131, European Central Bank.
    17. Ammer, John & Cai, Fang, 2011. "Sovereign CDS and bond pricing dynamics in emerging markets: Does the cheapest-to-deliver option matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(3), pages 369-387, July.
    18. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    19. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    20. Jan J.G. Lemmen & Charles A.E. Goodhart, 1999. "Credit Risks and European Government Bond Markets: A Panel Data Econometric Analysis," Eastern Economic Journal, Eastern Economic Association, vol. 25(1), pages 77-107, Winter.
    21. Bai, Jushan & Ng, Serena, 2013. "Principal components estimation and identification of static factors," Journal of Econometrics, Elsevier, vol. 176(1), pages 18-29.
    22. Martin M. Andreasen & Jens H. E. Christensen & Glenn D. Rudebusch, 2017. "Term Structure Analysis with Big Data," Working Paper Series 2017-21, Federal Reserve Bank of San Francisco.
    23. De Santis, Roberto A., 2020. "Impact of the Asset Purchase Programme on euro area government bond yields using market news," Economic Modelling, Elsevier, vol. 86(C), pages 192-209.
    24. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    25. Karkowska, Renata & Urjasz, Szczepan, 2021. "Connectedness structures of sovereign bond markets in Central and Eastern Europe," International Review of Financial Analysis, Elsevier, vol. 74(C).
    26. Jens Hilscher & Yves Nosbusch, 2010. "Determinants of Sovereign Risk: Macroeconomic Fundamentals and the Pricing of Sovereign Debt," Review of Finance, European Finance Association, vol. 14(2), pages 235-262.
    27. Buse, Rebekka & Schienle, Melanie, 2019. "Measuring connectedness of euro area sovereign risk," International Journal of Forecasting, Elsevier, vol. 35(1), pages 25-44.
    28. Arvind Krishnamurthy & Annette Vissing-Jorgensen, 2011. "The Effects of Quantitative Easing on Interest Rates: Channels and Implications for Policy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(2 (Fall)), pages 215-287.
    29. Joseph E. Gagnon, 2016. "Quantitative Easing: An Underappreciated Success," Policy Briefs PB16-4, Peterson Institute for International Economics.
    30. Zaghum Umar & Yasir Riaz & Adam Zaremba, 2021. "Spillover and risk transmission in the components of the term structure of eurozone yield curve," Applied Economics, Taylor & Francis Journals, vol. 53(18), pages 2141-2157, April.
    31. Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
    32. Monica Billio & Mila Getmansky & Andrew W. Lo & Loriana Pelizzon, 2010. "Econometric Measures of Systemic Risk in the Finance and Insurance Sectors," NBER Working Papers 16223, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Chen, Yu-Lun, 2023. "The crucial role of the five-year Treasury in the US yield curve," International Review of Financial Analysis, Elsevier, vol. 90(C).

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    More about this item

    Keywords

    Unconventional monetary policy; quantitative easing; yield curve; vector autoregression; variance decomposition; elastic net.;
    All these keywords.

    JEL classification:

    • F34 - International Economics - - International Finance - - - International Lending and Debt Problems
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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