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Investigation of the consequences of ignoring daily data non-synchronism in cross-market linkages: BRIC and developed countries

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Author Info

  • Grigoryev, Ruslan

    ()
    (Kazan State Power Engineering University, Kazan, Russia)

  • Jaffry, Shabbar

    ()
    (University of Portsmouth, UK)

  • Marchenko, German

    ()
    (Kazan State Power Engineering University, Kazan, Russia)

Abstract

The comparison was performed between Granger causality test results, based on the equations in classic and non-synchronism corrected forms applying the pairs of stock market indices with daily data non-synchronism problem. In contrast to the non-synchronism corrected form of the equation, the results of Granger causality test performed on classic form of the equation demonstrate the existence of bias, which induces underestimation/overestimation of causality from earlier/later closing markets.

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Bibliographic Info

Article provided by Publishing House "SINERGIA PRESS" in its journal Applied Econometrics.

Volume (Year): 26 (2012)
Issue (Month): 2 ()
Pages: 92-112

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Handle: RePEc:ris:apltrx:0173

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Web page: http://appliedeconometrics.cemi.rssi.ru/

Related research

Keywords: interdependence; cross-market linkages; spillover; non-synchronism; synchronisation; asynchronism; comovement; Granger causality; timeline; contemporaneous causality; instantaneous causality.;

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  1. Kristin J. Forbes & Roberto Rigobon, 2002. "No Contagion, Only Interdependence: Measuring Stock Market Comovements," Journal of Finance, American Finance Association, vol. 57(5), pages 2223-2261, October.
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  3. Breusch, T S & Pagan, A R, 1980. "The Lagrange Multiplier Test and Its Applications to Model Specification in Econometrics," Review of Economic Studies, Wiley Blackwell, vol. 47(1), pages 239-53, January.
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  7. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-38, July.
  8. �. Gjerde & F. S�ttem, 1995. "Linkages among European and world stock markets," The European Journal of Finance, Taylor & Francis Journals, vol. 1(2), pages 165-179.
  9. Bekiros, Stelios D. & Diks, Cees G.H., 2008. "The nonlinear dynamic relationship of exchange rates: Parametric and nonparametric causality testing," Journal of Macroeconomics, Elsevier, vol. 30(4), pages 1641-1650, December.
  10. Cheung, Yin-Wong & Ng, Lilian K., 1996. "A causality-in-variance test and its application to financial market prices," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 33-48.
  11. Godfrey, Leslie G, 1978. "Testing for Higher Order Serial Correlation in Regression Equations When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1303-10, November.
  12. Gebka, Bartosz & Serwa, Dobromil, 2007. "Intra- and inter-regional spillovers between emerging capital markets around the world," Research in International Business and Finance, Elsevier, vol. 21(2), pages 203-221, June.
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Cited by:
  1. Grigoryev, Ruslan & Jaffry, Shabbar & Marchenko, German, 2012. "The role of the timeline in Granger causality test in the presence of daily data non-synchronism," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 27(3), pages 3-19.
  2. Korhonen, Iikka & Peresetsky , Anatoly, 2013. "What determines stock market behavior in Russia and other emerging countries?," BOFIT Discussion Papers 4/2013, Bank of Finland, Institute for Economies in Transition.

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