• DocumentCode
    2053232
  • Title

    Minimax regret portfolios for restricted stock sequences

  • Author

    Cover, Thomas M.

  • Author_Institution
    Inf. Syst. Lab., Stanford Univ., CA, USA
  • fYear
    2004
  • fDate
    27 June-2 July 2004
  • Firstpage
    140
  • Abstract
    A stock market game where one player (the investor) plays against another (the market) with payoff given by the ratio of the investor´s wealth (at time n) to the market wealth given by the performance of the best constant rebalanced portfolio in hindsight on the market sequence is analysed. This paper consider markets in which no stock underperforms the average by a given amount, and consider portfolio strategies that allow both short selling and margin. The possibility of universal portfolios in the market which do as well against any specific stock sequence. Putting a constraint α on stock performance creates the opportunity for short selling and margin. This increases the relative performance of the universal portfolio.
  • Keywords
    data compression; game theory; sequences; stock markets; investor wealth ratio; minimax regret portfolio; short selling; stock market game sequence; universal data compression; Information analysis; Information systems; Investments; Laboratories; Marketing and sales; Minimax techniques; Performance analysis; Performance loss; Portfolios; Stock markets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
  • Print_ISBN
    0-7803-8280-3
  • Type

    conf

  • DOI
    10.1109/ISIT.2004.1365178
  • Filename
    1365178