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The effects of global monetary policy and Greek debt crisis on the dynamic conditional correlations of currency markets

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  • Costas Karfakis
  • Theodore Panagiotidis

Abstract

This study examines first the effects of financial market turmoil in the fall of 2008 on the conditional correlations between three exchange rate returns (USD/EUR, JPY/USD, USD/GBP), and then the effects of quantitative easing programs and Greek debt crisis on the entire distribution of estimated correlations. The dynamic correlations have sharply increased during the period that followed the collapse of Lehman Brothers, indicating a financial contagion across currency markets. The quantitative easing programs of the Federal Reserve and the Bank of England have affected the conditional correlations between the currency pairs. Finally, the Greek debt crisis has emerged as the most significant covariate of the quantile regressions. Copyright Springer Science+Business Media New York 2015

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  • Costas Karfakis & Theodore Panagiotidis, 2015. "The effects of global monetary policy and Greek debt crisis on the dynamic conditional correlations of currency markets," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(4), pages 795-811, November.
    • Handle: RePEc:kap:empiri:v:42:y:2015:i:4:p:795-811
    DOI: 10.1007/s10663-014-9277-8
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    1. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    2. Go Tamakoshi & Yuki Toyoshima & Shigeyuki Hamori, 2012. "A dynamic conditional correlation analysis of European stock markets from the perspective of the Greek sovereign debt crisis," Economics Bulletin, AccessEcon, vol. 32(1), pages 437-448.
    3. Luc Bauwens & Sébastien Laurent & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109, January.
    4. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things you should know about DCC," Tinbergen Institute Discussion Papers 13-048/III, Tinbergen Institute.
    5. 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.
    6. Carlo Rosa, 2012. "How "unconventional" are large-scale asset purchases? The impact of monetary policy on asset prices," Staff Reports 560, Federal Reserve Bank of New York.
    7. Bauer, Michael D. & Neely, Christopher J., 2014. "International channels of the Fed's unconventional monetary policy," Journal of International Money and Finance, Elsevier, vol. 44(C), pages 24-46.
    8. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, January.
    9. Neely, Christopher J., 2015. "Unconventional monetary policy had large international effects," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 101-111.
    10. Hiroshi Ugai, 2007. "Effects of the Quantitative Easing Policy: A Survey of Empirical Analyses," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 25(1), pages 1-48, March.
    11. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    12. Mark M. Spiegel, 2006. "Did quantitative easing by the Bank of Japan "work"?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue oct20.
    13. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    14. Eric T. Swanson, 2011. "Let's Twist Again: A High-Frequency Event-study Analysis of Operation Twist and Its Implications for QE2," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 42(1 (Spring), pages 151-207.
    15. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    16. Christopher J. Neely, 2011. "A survey of announcement effects on foreign exchange volatility and jumps," Review, Federal Reserve Bank of St. Louis, vol. 93(Sep), pages 361-385.
    17. Go Tamakoshi & Shigeyuki Hamori, 2013. "An asymmetric dynamic conditional correlation analysis of linkages of European financial institutions during the Greek sovereign debt crisis," The European Journal of Finance, Taylor & Francis Journals, vol. 19(10), pages 939-950, November.
    18. Tamakoshi, Go & Hamori, Shigeyuki, 2014. "Co-movements among major European exchange rates: A multivariate time-varying asymmetric approach," International Review of Economics & Finance, Elsevier, vol. 31(C), pages 105-113.
    19. Brett W. Fawley & Christopher J. Neely, 2013. "Four stories of quantitative easing," Review, Federal Reserve Bank of St. Louis, issue Jan, pages 51-88.
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    2. Choi, Sun-Yong, 2022. "Volatility spillovers among Northeast Asia and the US: Evidence from the global financial crisis and the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 179-193.
    3. Dua, Pami & Tuteja, Divya, 2016. "Financial crises and dynamic linkages across international stock and currency markets," Economic Modelling, Elsevier, vol. 59(C), pages 249-261.
    4. Marco Tronzano, 2020. "Safe-Haven Assets, Financial Crises, and Macroeconomic Variables: Evidence from the Last Two Decades (2000–2018)," JRFM, MDPI, vol. 13(3), pages 1-21, February.
    5. Mirzosaid Sultonov, 2021. "External Shocks and Volatility Overflow among the Exchange Rate of the Yen, Nikkei, TOPIX and Sectoral Stock Indices," JRFM, MDPI, vol. 14(11), pages 1-13, November.
    6. Mirzosaid Sultonov & Shahzadah Nayyar Jehan, 2018. "Dynamic Linkages between Japan’s Foreign Exchange and Stock Markets: Response to the Brexit Referendum and the 2016 U.S. Presidential Election," JRFM, MDPI, vol. 11(3), pages 1-8, June.
    7. Mirzosaid Sultonov, 2020. "The Impacts of International Political and Economic Events on Japanese Financial Markets," IJFS, MDPI, vol. 8(3), pages 1-10, July.
    8. Bouri, Elie & Lucey, Brian & Saeed, Tareq & Vo, Xuan Vinh, 2020. "Extreme spillovers across Asian-Pacific currencies: A quantile-based analysis," International Review of Financial Analysis, Elsevier, vol. 72(C).

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    More about this item

    Keywords

    Currency markets; Quantitative easing; GARCH; Dynamic conditional correlation; Quantile regression; C32; F31; G15;
    All these keywords.

    JEL classification:

    • 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
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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