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Computing stock price comovements with a three-regime panel smooth transition error correction model

Author

Listed:
  • Fredj Jawadi

    (University of Evry)

  • Souhir Chlibi

    (University of Tunis El Manar
    University of Evry)

  • Abdoulkarim Idi Cheffou

    (EDC Paris Business School)

Abstract

This paper studies the hypothesis of stock price comovements toward the US market for a large sample of developed and emerging stock markets (G6, BRICS, and MENA) over the periods of February 1970–June 2012, January 1995–June 2012, and June 2005–June 2012. To consider cross-market heterogeneity and asymmetrical time-variation in stock market integration, we propose an innovative threshold panel cointegration specification based on a panel smooth transitions error correction model. This specification enables us to identify different integration regimes that transit smoothly, which further reproduces the effects of market frictions and behavioral heterogeneity among the markets under consideration. Accordingly, we distinguish between efficient and inefficient market states. Further, we show that, while MENA and BRICS are segmented with the US market, a nonlinear mean-reversion of stock prices is observed for the G6 markets, suggesting evidence of heterogeneous threshold market integration. This suggests global diversification benefits from a US-MENA portfolio, while only per-regime investment opportunities appear for US-G6 and US-BRICS portfolios.

Suggested Citation

  • Fredj Jawadi & Souhir Chlibi & Abdoulkarim Idi Cheffou, 2019. "Computing stock price comovements with a three-regime panel smooth transition error correction model," Annals of Operations Research, Springer, vol. 274(1), pages 331-345, March.
    • Handle: RePEc:spr:annopr:v:274:y:2019:i:1:d:10.1007_s10479-018-2805-3
    DOI: 10.1007/s10479-018-2805-3
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    References listed on IDEAS

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    1. Balke, Nathan S & Fomby, Thomas B, 1997. "Threshold Cointegration," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 38(3), pages 627-645, August.
    2. Hansen, Bruce E. & Seo, Byeongseon, 2002. "Testing for two-regime threshold cointegration in vector error-correction models," Journal of Econometrics, Elsevier, vol. 110(2), pages 293-318, October.
    3. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 1-47.
    4. González, Andrés & Teräsvirta, Timo & van Dijk, Dick & Yang, Yukai, 2005. "Panel Smooth Transition Regression Models," SSE/EFI Working Paper Series in Economics and Finance 604, Stockholm School of Economics, revised 11 Oct 2017.
    5. Fredj Jawadi & Georges Prat, 2017. "Equity prices and fundamentals: a DDM–APT mixed approach," Review of Quantitative Finance and Accounting, Springer, vol. 49(3), pages 661-695, October.
    6. Terasvirta, T & Anderson, H M, 1992. "Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 119-136, Suppl. De.
    7. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    8. Fredj Jawadi & Georges Prat, 2012. "Arbitrage costs and nonlinear adjustment in the G7 stock markets," Applied Economics, Taylor & Francis Journals, vol. 44(12), pages 1561-1582, April.
    9. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    10. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    11. Fredj Jawadi & Georges Prat, 2012. "Arbitrage Costs and Nonlinear Stock Price Adjustment in the G7 Countries," Post-Print hal-01385801, HAL.
    12. Chen, Jinzhao & Quang, Thérèse, 2014. "The impact of international financial integration on economic growth: New evidence on threshold effects," Economic Modelling, Elsevier, vol. 42(C), pages 475-489.
    13. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    14. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    15. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    16. Boswijk, H. Peter & Hommes, Cars H. & Manzan, Sebastiano, 2007. "Behavioral heterogeneity in stock prices," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 1938-1970, June.
    17. Timo Teräsvirta & Yukai Yang, 2014. "Linearity and Misspecification Tests for Vector Smooth Transition Regression Models," CREATES Research Papers 2014-04, Department of Economics and Business Economics, Aarhus University.
    18. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    19. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    20. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    21. Jinzhao Chen & Thérèse Quang, 2012. "International Financial Integration and Economic Growth: New Evidence on Threshold Effects," PSE Working Papers halshs-00710139, HAL.
    22. Bekaert, Geert & Harvey, Campbell R, 1995. "Time-Varying World Market Integration," Journal of Finance, American Finance Association, vol. 50(2), pages 403-444, June.
    23. Romero-Meza, Rafael & Bonilla, Claudio & Benedetti, Hugo & Serletis, Apostolos, 2015. "Nonlinearities and financial contagion in Latin American stock markets," Economic Modelling, Elsevier, vol. 51(C), pages 653-656.
    24. Béreau, Sophie & Villavicencio, Antonia López & Mignon, Valérie, 2010. "Nonlinear adjustment of the real exchange rate towards its equilibrium value: A panel smooth transition error correction modelling," Economic Modelling, Elsevier, vol. 27(1), pages 404-416, January.
    25. of England, Bank, 2016. "Markets and operations," Bank of England Quarterly Bulletin, Bank of England, vol. 56(4), pages 212-221.
    26. Heni Boubaker & Nadia Sghaier, 2014. "How Do the Interest Rate and the Inflation Rate Affect the Non-Life Insurance Premiums ?," Working Papers 2014-282, Department of Research, Ipag Business School.
    27. Saikkonen, Pentti, 1991. "Asymptotically Efficient Estimation of Cointegration Regressions," Econometric Theory, Cambridge University Press, vol. 7(1), pages 1-21, March.
    28. George A. Akerlof & Robert J. Shiller, 2010. "Animal Spirits: How Human Psychology Drives the Economy, and Why It Matters for Global Capitalism," Economics Books, Princeton University Press, edition 1, number 9163.
    29. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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    More about this item

    Keywords

    Comovement; Developed and emerging stock markets; Nonlinearity; Multiple regimes; PSTECM;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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