Journals / Ekonomi-tek / 2014 / Cilt: 3 - Sayı: 2

GDP Volatility Spillovers from the US and EU to Turkey: A Dynamic Investigation

Pages
51–66
Publication Date
2014-05-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

However, we do not find any notable volatility spillover from the EU to Turkey.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Our paper examines the dynamics of GDP volatility spillover from the US and the EU to Turkey.
📊
Key Findings & Data:The associated volatilities are derived through the SWARCH (switching autoregressive conditional heteroscedasticity) model, proposed by Hamilton and Susmel (1994).
💡
Conclusion & Impact:However, we do not find any notable volatility spillover from the EU to Turkey.
🔬Design:Modeling & Simulation
📍Scope:2013 Verileri
⚙️Variables:GDP volatility spillover · ARCH · Kalman filter

Abstract

Our paper examines the dynamics of GDP volatility spillover from the US and the EU to Turkey. The associated volatilities are derived through the SWARCH (switching autoregressive conditional heteroscedasticity) model, proposed by Hamilton and Susmel (1994). We use the Kalman filter to analyze these spillover effects between first-quarter 1995 and fourth-quarter 2013. We identify significant cross-country spillover effects from the US to Turkey, especially during global financial crises. However, we do not find any notable volatility spillover from the EU to Turkey.

Özet

Our paper examines the dynamics of GDP volatility spillover from the US and the EU to Turkey. The associated volatilities are derived through the SWARCH (switching autoregressive conditional heteroscedasticity) model, proposed by Hamilton and Susmel (1994). We use the Kalman filter to analyze these spillover effects between first-quarter 1995 and fourth-quarter 2013. We identify significant cross-country spillover effects from the US to Turkey, especially during global financial crises. However, we do not find any notable volatility spillover from the EU to Turkey.

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Cite This Article

GEBEŞOĞLU, P. F., ERTUĞRUL, H. M. (2014). GDP Volatility Spillovers from the US and EU to Turkey: A Dynamic Investigation. Ekonomi-tek, Cilt: 3 - Sayı: 2, 51–66. https://ajindex.com/articles/753703

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References (11)

  1. Akkoyun, H. Ç., M. Günay, and B. Sen-Doğan, (2012), "Business-Cycle Synchronization of Turkey with the Euro Area and the US: What Has Changed After 2001?," Working Papers 1215, Research and Monetary Policy Department, Central Bank of the Republic of Turkey. Bagliano, F. and C. Morana, (2012), "The Great Recession: US dynamics and spillovers to the world economy," Journal of Banking and Finance, Elsevier, Vol. 36 (1), pp. 1-13.
  2. Bayoumi, T. and A. Swiston, (2009), “Foreign Entanglements: Estimating the Source and Size of Spillovers Across Industrial Countries,” IMF Staff Papers, Vol. 56 (2), pp. 353-383.
  3. Baxter, M. and M. Kouparitsas, (2005), “Determinants of Business-Cycle Co-movement: A Robust Analysis,” Journal of Monetary Economics, Vol. 52: 1, pp. 113-57.
  4. Baxter, M. and M. Crucini, (1995), “Business Cycles and the Asset Structure of International Trade,” International Economic Review, 36, pp. 821-854.
  5. Beine, M., S. Laurent, and C. Lecourt, (2003), “Official Central Bank Interventions and Exchange Rate Volatility: Evidence from a Regime-Switching Analysis”, European Economic Review, 47, pp. 891- 911. Bekaert, G., C. R. Harvey, and C. Lundblad, (2006), “Growth Volatility and Financial Liberalization,” Journal of International Money and Finance, 25, pp. 370-403.
  6. Berument, H., Z. Kılınç, and E. Yücel, (2005), “Business Cycles in Turkey and European Union Countries: A perspective to the Membership,” Bilkent University Discussion Papers No: 05-6.
  7. Bhar, R. and S. Hamori, (2003), “Alternative Characterization of the Volatility in the Growth Rate of Real GDP,” Japan and the World Economy, 15, pp. 223-231.
  8. Cai, J., (1994), “A Markov Model of Unconditional Variance in ARCH”, Journal of Business and Economic Statistics, 12(3), pp. 309–316.
  9. Carare, A. and A. Mody, (2010), ‘‘Spillovers of Domestic Shocks: Will They Counteract the Great Moderation,” IMF Working Paper, WP 10/78. Chen, S., (2006), “Simultaneously Modeling the Volatility of the Growth Rate of Real GDP and Determining Business Cycle Turning Points: Evidence from the U.S., Canada and the UK,” Mathematics and Computer in Simulations, 71(2), pp. 87-102.
  10. Cheung, Y. W., U. G. Erlandsson, (2005). “Exchange Rates and Markov Switching Dynamics,” Journal of Business and Economic Statistics, 23(3), pp. 314-320.
  11. Claessens, S., R. Dornbusch, and Y. S. Park, (2001), ‘‘Contagion: Why Crises Spread and How This Can be Stopped,’’ in: Claessens, S. and K. Forbes, (Eds), International Financial Contagion, Kluwer Academic P