IDEAS home Printed from https://ideas.repec.org/a/kap/compec/v39y2012i4p429-446.html
   My bibliography  Save this article

A Numerical Method for Solving Stochastic Optimal Control Problems with Linear Control

Author

Listed:
  • Walailuck Chavanasporn
  • Christian-Oliver Ewald

Abstract

No abstract is available for this item.

Suggested Citation

  • Walailuck Chavanasporn & Christian-Oliver Ewald, 2012. "A Numerical Method for Solving Stochastic Optimal Control Problems with Linear Control," Computational Economics, Springer;Society for Computational Economics, vol. 39(4), pages 429-446, April.
  • Handle: RePEc:kap:compec:v:39:y:2012:i:4:p:429-446
    DOI: 10.1007/s10614-011-9263-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10614-011-9263-1
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10614-011-9263-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Pindyck, Robert S., 1993. "Investments of uncertain cost," Journal of Financial Economics, Elsevier, vol. 34(1), pages 53-76, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Walailuck Chavanasporn & Christian-Oliver Ewald, 2012. "Privatization of businesses and flexible investment: a real option approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 35(1), pages 75-89, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jonathan B. Berk & Richard C. Green & Vasant Naik, 1998. "Valuation and Return Dynamics of New Ventures," NBER Working Papers 6745, National Bureau of Economic Research, Inc.
    2. Jyh-Bang Jou & Tan (Charlene) Lee, 2011. "Mutually exclusive investment with technical uncertainty," Applied Economics, Taylor & Francis Journals, vol. 43(30), pages 4723-4728.
    3. Krieger, Bastian & Zipperer, Vera, 2022. "Does green public procurement trigger environmental innovations?," Research Policy, Elsevier, vol. 51(6).
    4. Justin R. Pierce & Peter K. Schott, 2017. "Investment Responses to Trade Liberalization: Evidence from U.S. Industries and Plants," NBER Working Papers 24071, National Bureau of Economic Research, Inc.
    5. Francesco Aiello & Graziella Bonanno & Stefania P. S. Rossi, 2020. "How firms finance innovation. Further empirics from European SMEs," Metroeconomica, Wiley Blackwell, vol. 71(4), pages 689-714, November.
    6. Schwartz, Eduardo S., 2002. "Patents and R& D as Real Options," University of California at Los Angeles, Anderson Graduate School of Management qt86b1n43k, Anderson Graduate School of Management, UCLA.
    7. Michel Benaroch, 2018. "Real Options Models for Proactive Uncertainty-Reducing Mitigations and Applications in Cybersecurity Investment Decision Making," Information Systems Research, INFORMS, vol. 29(2), pages 315-340, June.
    8. Weeds, Helen, 1999. "Sleeping Patents And Compulsory Licensing: An Options Analysis," Economic Research Papers 269348, University of Warwick - Department of Economics.
    9. Madlener, Reinhard & Kumbaroglu, Gurkan & Ediger, Volkan S., 2005. "Modeling technology adoption as an irreversible investment under uncertainty: the case of the Turkish electricity supply industry," Energy Economics, Elsevier, vol. 27(1), pages 139-163, January.
    10. Mark Casson & Nigel Wadeson, 2007. "The Discovery of Opportunities: Extending the Economic Theory of the Entrepreneur," Small Business Economics, Springer, vol. 28(4), pages 285-300, April.
    11. Viju, Crina & Kerr, William A. & Nolan, James F., 2006. "Subsidization of the Biofuel Industry: Security vs. Clean Air?," 2006 Annual meeting, July 23-26, Long Beach, CA 21321, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Szolgayová, Jana & Golub, Alexander & Fuss, Sabine, 2014. "Innovation and risk-averse firms: Options on carbon allowances as a hedging tool," Energy Policy, Elsevier, vol. 70(C), pages 227-235.
    13. Gabriel P. Mathy, 2020. "How much did uncertainty shocks matter in the Great Depression?," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 14(2), pages 283-323, May.
    14. Viju, Crina & Kerr, William A., 2010. "Is The Subsidy For Biofuels The Way To Go?," 14th ICABR Conference, June 16-18, 2010, Ravello, Italy 188117, International Consortium on Applied Bioeconomy Research (ICABR).
    15. Kassar, Ilhem & Lasserre, Pierre, 2004. "Species preservation and biodiversity value: a real options approach," Journal of Environmental Economics and Management, Elsevier, vol. 48(2), pages 857-879, September.
    16. Hsu, Jason C. & Schwartz, Eduardo S., 2008. "A model of R&D valuation and the design of research incentives," Insurance: Mathematics and Economics, Elsevier, vol. 43(3), pages 350-367, December.
    17. Fabien A. Roques & William J. Nuttall & David M. Newbery & Richard de Neufville & Stephen Connors, 2006. "Nuclear Power: A Hedge against Uncertain Gas and Carbon Prices?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 1-24.
    18. Paulina Oliva & B. Kelsey Jack & Samuel Bell & Elizabeth Mettetal & Christopher Severen, 2020. "Technology Adoption under Uncertainty: Take-Up and Subsequent Investment in Zambia," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 617-632, July.
    19. Sabien Dobbelaere & Roland Iwan Luttens & Bettina Peters, 2008. "Starting an R&D Project under Uncertainty," DRUID Working Papers 08-09, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    20. Chi, T. & Nystrom, P. C., 1995. "Decision dilemmas facing managers: recognizing the value of learning while making sequential decisions," Omega, Elsevier, vol. 23(3), pages 303-312, June.

    More about this item

    Keywords

    Numerical stochastic optimal control; Dynamic programming; Computational economics; Investment decisions; C63;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:compec:v:39:y:2012:i:4:p:429-446. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.