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Advancing the iid Test Based on Integration across the Correlation Integral: Ranges, Competition, and Power. (2004). Kočenda, Evžen ; Briatka, Lubos .
In: Econometrics.
RePEc:wpa:wuwpem:0409001.

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  1. Volatility Spillover Across GCC Stock Markets. (2012). Onour, Ibrahim.
    In: MPRA Paper.
    RePEc:pra:mprapa:57086.

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  2. Does credit for equity investments feedback on stock market volatility? Evidence from an emerging stock market. (2011). Onour, Ibrahim.
    In: MPRA Paper.
    RePEc:pra:mprapa:28001.

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  3. How Big is Big Enough? Justifying Results of the iid Test Based on the Correlation Integral in the Non-Normal World. (2006). Briatka, Lubos .
    In: CERGE-EI Working Papers.
    RePEc:cer:papers:wp308.

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References

References cited by this document

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  4. Barnett, W.A., Gallant, A.R., Hinich, M.J., Jungeilges, J.A., Kaplan, D.T., Jensen, M.J., 1997. A single-blind controlled competition among tests for nonlinearity and chaos. Journal of Econometrics, vol. 82, pp. 157-192.

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  7. Brooks, C., 1999. Portmanteau Model Diagnostics and Tests for Nonlinearity: A Comparative Monte Carlo Study of Two Alternative Methods. ComputationalEconomics, 13(3),249-63.

  8. Brooks, C., Henry, O.T., 2000. Can portmanteau nonlinearity tests serve as 24 general miss-specification tests?: Evidence from symmetric and asymmetric GARCH models. Economics Letters, 67(3), 245-251.

  9. Brooks, C.; Heravi, S.M., 1999. The Effect of (Mis-Specified) GARCH Filters on the Finite Sample Distribution of the BDS Test. Computational Economics, 13(2), 147-62.

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  12. Chappell, D., Padmore, J., Ellis, C., 1996. A Note on the Distribution of BDS Statistics for a Real Exchange Rate Series. Oxford Bulletin of Economics and Statistics, 58(3), 561-65.

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