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A Statistical Study of U.K. Share Prices

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  • Dryden, Myles M

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  • Dryden, Myles M, 1970. "A Statistical Study of U.K. Share Prices," Scottish Journal of Political Economy, Scottish Economic Society, vol. 17(3), pages 369-389, November.
  • Handle: RePEc:bla:scotjp:v:17:y:1970:i:3:p:369-89
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    Cited by:

    1. Ume Habibah & Niaz Hussain Ghumro & Manzoor Ali Mirani, 2017. "Testing the Random Walk Hypothesis: A Case of Pakistan," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(7), pages 551-564, July.
    2. Jorge Belaire-Franch & Kwaku Opong, 2013. "A Time Series Analysis of U.K. Construction and Real Estate Indices," The Journal of Real Estate Finance and Economics, Springer, vol. 46(3), pages 516-542, April.
    3. Opong, Kwaku K. & Mulholland, Gwyneth & Fox, Alan F. & Farahmand, Kambiz, 1999. "The behaviour of some UK equity indices: An application of Hurst and BDS tests1," Journal of Empirical Finance, Elsevier, vol. 6(3), pages 267-282, September.
    4. Fazal Husain, 1997. "The Random Walk Model in the Pakistani Equity Market: An Examination," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 36(3), pages 221-240.
    5. Sinha, Bhaskar, 2007. "Modeling Stock Market Volatility in Emerging Markets: Evidence from India," MPRA Paper 102455, University Library of Munich, Germany, revised 2009.
    6. Peter Praetz & Michael Naphtali & John Nolan, 1975. "A Test of the Efficient Market Theory Using Filter Tests on Stock Prices," The Economic Record, The Economic Society of Australia, vol. 51(1), pages 66-72, March.
    7. Husain, Fazal & Forbes, Kevin, 1999. "Efficiency in a Thinly Traded Market: The Case of Pakistan," MPRA Paper 5355, University Library of Munich, Germany.
    8. Heuts, R.M.J., 1978. "Portfolio models and time series analysis," Other publications TiSEM 48458631-edc8-42e9-8359-4, Tilburg University, School of Economics and Management.

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