Growth Optimal Investment Strategy: The Impact of Reallocation Frequency and Heavy Tails

  • G. Bamberg
  • , A. Neuhierl

    Research output: Contribution to journalArticlepeer-review

    1 Scopus citations

    Abstract

    The strategy to maximize the long-term growth rate of final wealth (maximum expected log strategy, maximum geometric mean strategy, Kelly criterion) is based on probability theoretic underpinnings and has asymptotic optimality properties. This article reviews the allocation of wealth in a two-asset economy with one risky asset and a risk-free asset. It is also shown that the optimal fraction to be invested in the risky asset (i) depends on the length of the basic return period and (ii) is lower for heavy-tailed log returns than for light-tailed log returns.

    Original languageEnglish
    Pages (from-to)228-240
    Number of pages13
    JournalGerman Economic Review
    Volume13
    Issue number2
    DOIs
    StatePublished - May 2012

    Keywords

    • Asymptotic optimality
    • Heavy tails
    • Portfolio management

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