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Investing for the Long Run

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Abstract

This paper studies long term investing by an investor that maximizes either expected utility from terminal wealth or from consumption. We introduce the concepts of a generalized stochastic discount factor (SDF) and of the minimum price to attain target payouts. The paper finds that the dynamics of the SDF needs to be captured and not the entire market dynamics, which simplifies significantly practical implementations of optimal portfolio strategies. We pay particular attention to the case where the SDF is equal to the inverse of the growth-optimal portfolio in the given market. Then, optimal wealth evolution is closely linked to the growth optimal portfolio. In particular, our concepts allow us to reconcile utility optimization with the practitioner approach of growth investing. We illustrate empirically that our new framework leads to improved lifetime consumption-portfolio choice and asset allocation strategies.

Suggested Citation

  • Dietmar P.J. Leisen & Eckhard Platen, 2017. "Investing for the Long Run," Research Paper Series 381, Quantitative Finance Research Centre, University of Technology, Sydney.
  • Handle: RePEc:uts:rpaper:381
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    File URL: https://www.uts.edu.au/sites/default/files/QFR-2017-rp381.pdf
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    1. Anna H. Jankowiak, 2018. "Transnational Corporations and Business Networks in ASEAN: Building Partnership in the Asia– Pacific Region," International Business Research, Canadian Center of Science and Education, vol. 11(1), pages 230-244, January.

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    More about this item

    Keywords

    stochastic discount factor; minimum pricing; optimal portfolio; growth optimal portfolio;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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