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A Relative Efficiency Measure Based on Stock Market Index Data

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Abstract

This article introduces a new measure of stock market efficiency. The measure specifies how much a stock market index deviates from Brownian motion and is computed from frequency representations of isoquantile shapes estimated from lagged index returns. We describe the theory behind the approach, discuss parameter choices and apply the novel measure on chosen indices.

Suggested Citation

  • Kristýna Ivanková, 2012. "A Relative Efficiency Measure Based on Stock Market Index Data," Working Papers IES 2012/13, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jun 2012.
    • Handle: RePEc:fau:wpaper:wp2012_13
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    1. M. F. M. Osborne, 1959. "Brownian Motion in the Stock Market," Operations Research, INFORMS, vol. 7(2), pages 145-173, April.
    2. Barme-Delcroix, Marie-Francoise & Gather, Ursula, 2007. "Limit laws for multidimensional extremes," Statistics & Probability Letters, Elsevier, vol. 77(18), pages 1750-1755, December.
    3. Jacob, P. & Suquet, Ch., 1996. "Regression and edge estimation," Statistics & Probability Letters, Elsevier, vol. 27(1), pages 11-15, March.
    4. Jacob, P. & Suquet, Ch., 1997. "Regression and asymptotical location of a multivariate sample," Statistics & Probability Letters, Elsevier, vol. 35(2), pages 173-179, September.
    5. Hayfield, Tristen & Racine, Jeffrey S., 2008. "Nonparametric Econometrics: The np Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i05).
    6. McPherson, Matthew Q. & Palardy, Joseph, 2007. "Are international stock returns predictable?: An examination of linear and non-linear predictability using generalized spectral tests," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(5), pages 452-464, December.
    7. Lagoarde-Segot, Thomas & Lucey, Brian M., 2008. "Efficiency in emerging markets--Evidence from the MENA region," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(1), pages 94-105, February.
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    More about this item

    Keywords

    isoquantile; Efficient Market Hypothesis; stock market index; efficiency measure;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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