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Common stochastic trends and the dynamic linkages driving european stock markets: evidence from pre- and post-october 1987 crash eras

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Author Info
Rumi Masih
A. Mansur Masih
Abstract

Given the impact of the October 1987 crash pre-empting fears of a deep-seated financial collapse, there is now much scope for assessing its importance quantitatively. In this paper, time series techniques are used to analyse the dynamic linkages and propagation of shocks among five European stock markets. While we do not find any long-run relationship of stock markets over the entire sample ped, evidence is found in support of a unique cointegrating vector over each of the pre- and post-crash samples. Furthermore, the dynamic analysis reveals that the lead-lag relationships changed quite significantly over the sample following the crash.

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Publisher Info
Article provided by Taylor and Francis Journals in its journal The European Journal of Finance.

Volume (Year): 10 (2004)
Issue (Month): 1 (February)
Pages: 81-104
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Handle: RePEc:taf:eurjfi:v:10:y:2004:i:1:p:81-104

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Related research
Keywords: Stock Price Index; Pre/ Post Crash; Granger Temporal Causality; Cointegration; Vector Error-correction Model; Variance Decomposition; Impulse Response Function;

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  9. Dickey, David A & Pantula, Sastry G, 2002. "Determining the Order of Differencing in Autoregressive Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 18-24, January.
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