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A parallel Matlab package for approximating the solution to a continuous-time stochastic optimal control problem

Author

Listed:
  • Azzato, Jeffrey D.
  • Krawczyk, Jacek B.

Abstract

This article is a modified version of [AK06]. Both articles explain how a suite of MATLAB routines distributed under the generic name SOCSol can be used to obtain optimal solutions to continuous-time stochastic optimal control problems. The difference between the SOCSol suites described by the articles arises from the underlying computing platforms used. This article describes a beta version of SOCSol that utilises the MATLAB Parallel Computing Toolbox, while [AK06] describes a version of SOCSol that does not use parallel computing methods.

Suggested Citation

  • Azzato, Jeffrey D. & Krawczyk, Jacek B., 2008. "A parallel Matlab package for approximating the solution to a continuous-time stochastic optimal control problem," MPRA Paper 9993, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:9993
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    File URL: https://mpra.ub.uni-muenchen.de/9993/1/MPRA_paper_9993.pdf
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    1. Azzato, Jeffrey D. & Krawczyk, Jacek B., 2008. "A report on using parallel MATLAB for solutions to stochastic optimal control problems," MPRA Paper 9994, University Library of Munich, Germany.
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    Cited by:

    1. Foster, Jarred, 2011. "Target variation in a loss avoiding pension fund problem," MPRA Paper 36177, University Library of Munich, Germany.
    2. Azzato, Jeffrey D. & Krawczyk, Jacek B., 2008. "A report on using parallel MATLAB for solutions to stochastic optimal control problems," MPRA Paper 9994, University Library of Munich, Germany.
    3. Jacek B Krawczyk, 2015. "Delivering Left-Skewed Portfolio Payoff Distributions in the Presence of Transaction Costs," Risks, MDPI, Open Access Journal, vol. 3(3), pages 1-20, August.
    4. Foster, Jarred & Krawczyk, Jacek B, 2013. "Sensitivity of cautious-relaxed investment policies to target variation," Working Paper Series 2972, Victoria University of Wellington, School of Economics and Finance.

    More about this item

    Keywords

    Computational techniques; Economic software; Computational methods in stochastic optimal control; Computational economics; Approximating Markov decision chains;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

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