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Performance evaluation of dynamic trading strategies in UK stock returns incorporating lagged conditioning information

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  • Greg Anderson
  • Jonathan Fletcher
  • Andrew Marshall
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    Abstract

    This paper evaluates the performance of the optimal mean-variance portfolio decision when lagged conditioning information is included in the investment universe. Motivated by the dynamic trading literature, we evaluate the performance of eight conditioned information portfolios against an unconditional portfolio and various benchmark strategies. We find with that including lagged conditioning information into the optimal mean-variance portfolio decision can add economic wealth. A number of the conditioning information variables used are significantly effective at improving the portfolio performance in terms of the Sharpe [1966. Mutual fund performance. Journal of Business 39, no. 2: 119-38] ratio, certainty equivalent return, and Jensen [1968. The performance of mutual funds in the period 1945-1964. Journal of Finance 23, no.2: 389-416] performance. We find that the lagged market excess returns instrument has the greatest impact on the portfolio decision.

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    File URL: http://www.tandfonline.com/doi/abs/10.1080/13518471003638641
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    Bibliographic Info

    Article provided by Taylor & Francis Journals in its journal The European Journal of Finance.

    Volume (Year): 17 (2011)
    Issue (Month): 1 ()
    Pages: 67-82

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    Handle: RePEc:taf:eurjfi:v:17:y:2011:i:1:p:67-82

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    Related research

    Keywords: mean-variance analysis; dynamic trading strategies;

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    Cited by:
    1. Jonathan Fletcher, 2011. "An Examination of Dynamic Trading Stategies in UK and US Stock Returns," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 38(9-10), pages 1290-1310, November.

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