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Business Cycle Spillovers

Author

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  • Kamil Yilmaz

    (Koc University, Istanbul Turkey)

Abstract

We apply Diebold-Yilmaz spillover index methodology to monthly industrial production indices to study business cycle interdependence among G-6 countries. We show evidence that business cycle spillovers fluctuate substantially over time, increasing especially after the 1973-75 and 1981-82 recessions as well as during the expansion after the 2001 U.S. recession. Our most important result, however, is related to the current state of the world economy: In a matter of four months since September 2008, the business cycle spillover index recorded the sharpest increase ever and reached a record level as of December 2008, an unambiguous indicator that the global economy has already been in recession. Focusing on the direction of spillovers, we show that the recessionary shocks are originating mostly from the United States and spreading to other G-6 countries.

Suggested Citation

  • Kamil Yilmaz, 2009. "Business Cycle Spillovers," 2009 Meeting Papers 1079, Society for Economic Dynamics.
    • Handle: RePEc:red:sed009:1079
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    1. Brian M. Doyle & Jon Faust, 2005. "Breaks in the Variability and Comovement of G-7 Economic Growth," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 721-740, November.
    2. Carmen M. Reinhart & Kenneth S. Rogoff, 2009. "Is the 2007 US Sub-Prime Financial Crisis So Different?: An International Historical Comparison," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 56(3), pages 291-299.
    3. James H. Stock & Mark W. Watson, 2005. "Understanding Changes In International Business Cycle Dynamics," Journal of the European Economic Association, MIT Press, vol. 3(5), pages 968-1006, September.
    4. 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.
    5. Parkinson, Michael, 1980. "The Extreme Value Method for Estimating the Variance of the Rate of Return," The Journal of Business, University of Chicago Press, vol. 53(1), pages 61-65, January.
    6. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    7. Stijn Claessens & M. Ayhan Kose & Marco E. Terrones, 2009. "What happens during recessions, crunches and busts? [Business cycles for G-7 and European countries]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 24(60), pages 653-700.
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    Cited by:

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    2. Antonakakis, Nikolaos & Breitenlechner, Max & Scharler, Johann, 2015. "Business cycle and financial cycle spillovers in the G7 countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 58(C), pages 154-162.
    3. Ahmad, Wasim, 2017. "On the dynamic dependence and investment performance of crude oil and clean energy stocks," Research in International Business and Finance, Elsevier, vol. 42(C), pages 376-389.
    4. Nikolaos Antonakakis & Max Breitenlechner & Johann Scharler, 2014. "How Strongly are Business Cycles and Financial Cycles Linked in the G7 Countries?," Working Papers 2014-07, Faculty of Economics and Statistics, Universität Innsbruck.
    5. Yen-Hsien Lee & Ting-Huei Liao & Ya-Ling Huang & Tzu-Ling Huang, 2015. "Dynamic Spillovers between Oil and Stock Markets: New Approaches at Spillover Index," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 6(2), pages 178-189, April.
    6. Antonakakis, N. & Badinger, H., 2016. "Economic growth, volatility, and cross-country spillovers: New evidence for the G7 countries," Economic Modelling, Elsevier, vol. 52(PB), pages 352-365.
    7. Walid Abass Mohammed, 2021. "Volatility Spillovers among Developed and Developing Countries: The Global Foreign Exchange Markets," JRFM, MDPI, vol. 14(6), pages 1-30, June.
    8. Liow, Kim Hiang, 2015. "Volatility spillover dynamics and relationship across G7 financial markets," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 328-365.
    9. N. Antonakakis & H. Badinger, 2014. "International business cycle spillovers since the 1870s," Applied Economics, Taylor & Francis Journals, vol. 46(30), pages 3682-3694, October.
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    11. Tihana Škrinjarić & Zrinka Orlović, 2020. "Economic Policy Uncertainty and Stock Market Spillovers: Case of Selected CEE Markets," Mathematics, MDPI, vol. 8(7), pages 1-33, July.
    12. Wasim Ahmad & Sanjay Sehgal, 2018. "Business Cycle and Financial Cycle Interdependence and the Rising Role of China in SAARC," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(2), pages 337-362, June.
    13. Ahmad, Wasim & Sharma, Sumit Kumar, 2018. "Testing output gap and economic uncertainty as an explicator of stock market returns," Research in International Business and Finance, Elsevier, vol. 45(C), pages 293-306.
    14. Nikolaos Antonakakis & Ioannis Chatziantoniou & George Filis, 2016. "Business Cycle Spillovers in the European Union: What is the Message Transmitted to the Core?," Manchester School, University of Manchester, vol. 84(4), pages 437-481, July.
    15. Ahmad, Wasim & Rais, Shirin & Shaik, Abdul Rahman, 2018. "Modelling the directional spillovers from DJIM Index to conventional benchmarks: Different this time?," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 14-27.

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