Skip to main content

Relationships Between Stock Markets: Causality Between G8 Countries and Turkey

  • Conference paper
  • First Online:
Chaos, Complexity and Leadership 2018 (ICCLS 2018)

Part of the book series: Springer Proceedings in Complexity ((SPCOM))

Included in the following conference series:

  • 577 Accesses

Abstract

This study investigated relationships between stock markets in the Group of Eight (G8) countries (Canada, France, Germany, Italy, Japan, Russia, the UK, and the USA) and the İstanbul Stock Exchange (ISE) by estimating eight different vector autoregressions (VARs). We applied the Johansen and Juselius cointegration test to identify the long-run relations between the indices. The modified Granger causality test proposed by Toda and Yamamoto was conducted to identify the causality, then forecast variance decomposition and impulse response analysis were employed to explore the impacts of unexpected shocks in the G8 countries’ stock markets on the ISE. The results showed that there was no cointegration between the ISE and the G8 countries’ markets, but they still affected the ISE to different degrees, and the DAX–ISE 100, CAC 40–ISE 100, and FTSE MIB–ISE 100 causal relationships were bidirectional.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Berument, H., & Ince, O. (2005). Effects of S&P500’s return on emerging markets: Turkish experience. Applied Financial Economics Letters, 1, 59–64.

    Article  Google Scholar 

  • DeFusco, A. R., Geppert, J. M., & Tsetsekos, G. P. (1996). Long-run diversification potential in emerging stock markets. The Financial Review, 31, 343–363.

    Article  Google Scholar 

  • Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Society, 74, 427–431.

    MathSciNet  MATH  Google Scholar 

  • Elliott, G., Rothenberg, T. J., & Stock, J. H. (1996). Efficient tests for an autoregressive unit root. Econometrica, 64, 813–836.

    Article  MathSciNet  Google Scholar 

  • Eun, S. C., & Shim, S. (1989). International transmission of stock market movements. Journal of Financial and Quantitative Analysis, 24, 241–256.

    Article  Google Scholar 

  • Francis, B. B., & Leachman, L. L. (1998). Superexogeneity and the dynamic linkage among international equity markets. Journal of International Money and Finance, 17, 475–492.

    Article  Google Scholar 

  • Ghosh, A., Saidi, R., & Johnson, K. H. (1999). Who moves the Asia–Pacific stock markets—us or Japan? Empirical evidence based on the theory of cointegration. The Financial Review, 34, 159–170.

    Article  Google Scholar 

  • Granger, C. W. J. (1988). Causality, cointegration and control. Journal of Economic Dynamics and Control, 12, 551–559.

    Article  Google Scholar 

  • Huang, B. N., Yang, C. W., & Hu, W. S. (2000). Causality and cointegration of stock markets among United States, Japan and the South China Growth Triangle. International Review of Financial Analysis., 9, 281–297.

    Article  Google Scholar 

  • Johansen, S. (1991). Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models. Econometrica, 59, 1551–1580.

    Article  MathSciNet  Google Scholar 

  • Johansen, S. (1995). Likelihood-based inference in cointegrated vector autoregressive models. Oxford: Oxford University Press.

    Book  Google Scholar 

  • Johansen, S., & Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration: With applications to the demand for money. Oxford Bulletin of Economics and Statistics, 52, 169–210.

    Article  Google Scholar 

  • Kasa, K. (1992). Common stochastic trend in international stock markets. Journal of Monetary Economics, 29, 95–124.

    Article  Google Scholar 

  • Koop, G., Pesaran, M. H., & Potter, S. M. (1996). Impulse response analysis in nonlinear multivariate models. Journal of Econometrica, 74, 119–147.

    Article  MathSciNet  Google Scholar 

  • Kwiatkowski, D. P., Philips, C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationary against the alternative of a unit root. Journal of Econometrics, 1992, 159–178.

    Article  Google Scholar 

  • Ng, S., & Perron, P. (2001). Lag length selection and the construction of unit root tests with good size and power. Econometrica, 69, 1519–1554.

    Article  MathSciNet  Google Scholar 

  • Onay, C. (2007). Cointegration analysis of Bovespa and İstanbul stock exchanges. Paper presented at the Oxford Business & Economics Conference, Oxford.

    Google Scholar 

  • Osterwald-Lenum, M. (1992). A note with quantiles of the asymptotic distribution ofthe maximum likelihood cointegration rank test statistics 1. Oxford Bulletin of Economics andstatistics, 54(3), 461–472.

    Article  Google Scholar 

  • Pesaran, M. H., & Shin, Y. (1998). Generalized impulse response analysis in linear multivariate models. Economics Letters, 58, 17–29.

    Article  MathSciNet  Google Scholar 

  • Phillips, P. C. B., & Perron, P. (1998). Testing for a unit root in time series regressions. Biometrica, 75(2), 335–346.

    Article  MathSciNet  Google Scholar 

  • Phylaktis, P., & Ravazzolo, F. (2004). Stock market linkages in emerging markets: Implications for international portfolio diversification. International Financial Markets, Institutions & Money, 15, 91–106.

    Article  Google Scholar 

  • Richards, J. A. (1995). Comovements in national stock market returns: Evidence of predictability, but not cointegration. Journal of Monetary Economics, 36, 631–654.

    Article  Google Scholar 

  • Smith, L. K., Brocato, J., & Rogers, J. E. (1993). Regularities in the data between major equity markets: Evidence from Granger causality tests. Applied Financial Economics, 3, 55–60.

    Article  Google Scholar 

  • Syriopoulos, T. (2011). Financial integration and portfolio investments to emerging Balkan equity markets. Journal of Multinational Financial Management, 21, 40–54.

    Article  Google Scholar 

  • Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregression with possibly integrated process. Journal of Econometrics, 66, 225–250.

    Article  MathSciNet  Google Scholar 

  • Yang, J., Koları, J. W., & Min, I. (2003). Stock market integration and financial crises: The case of Asia. Applied Financial Economics, 13, 477–486.

    Article  Google Scholar 

  • Yu, J. S., & Hassan, M. K. (2008). Global and regional integration of the Middle East and North African (MENA) stock markets. The Quarterly Review of Economics and Finance, 48, 482–504.

    Article  Google Scholar 

  • Zapata, H. O., & Rambaldi, A. N. (1997). Monte Carlo evidence on cointegration and causation. Oxford Bulletin of Economics and Statistics, 59, 285–298.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kamil Demirberk Ünlü .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ünlü, K.D., Potas, N., Yılmaz, M. (2020). Relationships Between Stock Markets: Causality Between G8 Countries and Turkey. In: ERÇETİN, Ş., AÇIKALIN, Ş. (eds) Chaos, Complexity and Leadership 2018. ICCLS 2018. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-27672-0_5

Download citation

Publish with us

Policies and ethics