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An Optimal Stopping Problem Modeling Technical Analysis

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  • Jun Maeda
  • Saul D. Jacka

Abstract

We present a solution to an optimal stopping problem for a process with a wide-class of novel dynamics. The dynamics model the support/resistance line concept from financial technical analysis.

Suggested Citation

  • Jun Maeda & Saul D. Jacka, 2017. "An Optimal Stopping Problem Modeling Technical Analysis," Papers 1707.05253, arXiv.org, revised Mar 2020.
    • Handle: RePEc:arx:papers:1707.05253
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    File URL: http://arxiv.org/pdf/1707.05253
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    References listed on IDEAS

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    1. Blanchet-Scalliet, Christophette & Diop, Awa & Gibson, Rajna & Talay, Denis & Tanre, Etienne, 2007. "Technical analysis compared to mathematical models based methods under parameters mis-specification," Journal of Banking & Finance, Elsevier, vol. 31(5), pages 1351-1373, May.
    2. Andrew W. Lo & Harry Mamaysky & Jiang Wang, 2000. "Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation," Journal of Finance, American Finance Association, vol. 55(4), pages 1705-1770, August.
    3. T. R. A. Corns & S. E. Satchell, 2007. "Skew Brownian Motion and Pricing European Options," The European Journal of Finance, Taylor & Francis Journals, vol. 13(6), pages 523-544.
    4. Andrew W. Lo & Harry Mamaysky & Jiang Wang, 2000. "Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation," Journal of Finance, American Finance Association, vol. 55(4), pages 1705-1765, August.
    5. Rossello, Damiano, 2012. "Arbitrage in skew Brownian motion models," Insurance: Mathematics and Economics, Elsevier, vol. 50(1), pages 50-56.
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    Cited by:

    1. Vicky Henderson & Saul Jacka & Ruiqi Liu, 2021. "The Support and Resistance Line Method: An Analysis via Optimal Stopping," Papers 2103.02331, arXiv.org.

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