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Admissible investment strategies in continuous trading

Author

Listed:
  • Aase, Knut K.
  • Øksendal, Bernt

Abstract

We consider a situation where relative prices of assets may change continuously and also have discrete jumps at random time points. The problem is the one of portfolio optimization. If the utility function used is the logarithm, we first argue that an optimal investment plan exists. Secondly, we show that any such plan has a certain optimality property known to hold also in discrete time models. Moreover, we show that this optimality criterion can be simplified significantly. In particular we show how admissibility can be related directly to observable characteristics of the investment strategy.

Suggested Citation

  • Aase, Knut K. & Øksendal, Bernt, 1988. "Admissible investment strategies in continuous trading," Stochastic Processes and their Applications, Elsevier, vol. 30(2), pages 291-301, December.
  • Handle: RePEc:eee:spapps:v:30:y:1988:i:2:p:291-301
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    Citations

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    Cited by:

    1. Jun Liu & Francis A. Longstaff & Jun Pan, 2003. "Dynamic Asset Allocation with Event Risk," Journal of Finance, American Finance Association, vol. 58(1), pages 231-259, February.
    2. Aase, Knut K., 2004. "Jump Dynamics: The Equity Premium and the Risk-Free Rate Puzzles," Discussion Papers 2004/12, Norwegian School of Economics, Department of Business and Management Science.
    3. Traian A. Pirvu & Gordan Žitković, 2009. "Maximizing The Growth Rate Under Risk Constraints," Mathematical Finance, Wiley Blackwell, vol. 19(3), pages 423-455, July.
    4. Le Courtois, Olivier & Menoncin, Francesco, 2015. "Portfolio optimisation with jumps: Illustration with a pension accumulation scheme," Journal of Banking & Finance, Elsevier, vol. 60(C), pages 127-137.
    5. Traian A. Pirvu & Gordan Zitkovic, 2007. "Maximizing the Growth Rate under Risk Constraints," Papers 0706.0480, arXiv.org.
    6. Jan Palczewski & Lukasz Stettner, 2007. "Growth-optimal portfolios under transaction costs," Papers 0707.3198, arXiv.org.

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