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Efficient capital markets: A statistical definition and comments

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  • Milionis, Alexandros E.

Abstract

An alternative definition for market efficiency, based on statistical rather than financial arguments is suggested, which, though equivalent with the existing one, has some comparative advantages. Further, the implications that results from some statistical tests on return predictability may have for market efficiency are discussed.

Suggested Citation

  • Milionis, Alexandros E., 2007. "Efficient capital markets: A statistical definition and comments," Statistics & Probability Letters, Elsevier, vol. 77(6), pages 607-613, March.
    • Handle: RePEc:eee:stapro:v:77:y:2007:i:6:p:607-613
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    References listed on IDEAS

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    1. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    2. Rubinstein, Mark, 1975. "Securities Market Efficiency in an Arrow-Debreu Economy," American Economic Review, American Economic Association, vol. 65(5), pages 812-824, December.
    3. LeRoy, Stephen F, 1989. "Efficient Capital Markets and Martingales," Journal of Economic Literature, American Economic Association, vol. 27(4), pages 1583-1621, December.
    4. repec:cdl:ucsbec:13-89 is not listed on IDEAS
    5. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
    6. Black, Fischer, 1986. "Noise," Journal of Finance, American Finance Association, vol. 41(3), pages 529-543, July.
    7. Alexandros Milionis & Demetrios Moschos, 2000. "On the validity of the weak-form efficient markets hypothesis applied to the London stock exchange: comment," Applied Economics Letters, Taylor & Francis Journals, vol. 7(7), pages 419-421.
    8. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    9. LeRoy, Stephen F, 1976. "Efficient Capital Markets: Comment," Journal of Finance, American Finance Association, vol. 31(1), pages 139-141, March.
    10. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    11. Harry V. Roberts, 1959. "Stock‐Market “Patterns” And Financial Analysis: Methodological Suggestions," Journal of Finance, American Finance Association, vol. 14(1), pages 1-10, March.
    12. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    Cited by:

    1. Alexandros E. Milionis, 2019. "A simple return generating model in discrete time; implications for market efficiency testing," Working Papers 259, Bank of Greece.
    2. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2019. "Time-Varying Price–Volume Relationship and Adaptive Market Efficiency: A Survey of the Empirical Literature," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    3. Alexandros Milionis & Evangelia Papanagiotou, 2009. "A study of the predictive performance of the moving average trading rule as applied to NYSE, the Athens Stock Exchange and the Vienna Stock Exchange: sensitivity analysis and implications for weak-for," Applied Financial Economics, Taylor & Francis Journals, vol. 19(14), pages 1171-1186.

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