IDEAS home Printed from https://ideas.repec.org/h/spr/oprchp/978-3-540-32539-0_79.html
   My bibliography  Save this book chapter

Investment Attraction and Tax Reform: a Stochastic Model

In: Operations Research Proceedings 2005

Author

Listed:
  • Vadim I. Arkin

    (Central Economics and Mathematics Institute)

  • Alexander D. Slastnikov

    (Central Economics and Mathematics Institute)

  • Svetlana V. Arkina

    (University Paris I)

Abstract

Summary We study a model of the behavior of a potential investor (under risk and uncertainty) who wishes to invest in a project of creating a new enterprise and chooses an investment time (timing problem). This model takes the tax environment exhaustively into account. An optimal rule of investment and its dependence on parameters of tax system are obtained. Investigation is based on solving an optimal stopping problem for two-dimensional geometric Brownian motion. We apply Feinmann-Kac formula and variational inequalities as basic methods for deriving the closed-form formulas for optimal investment time and expected tax revenues from future enterprise into budgets of different levels. Based on those formulas, an analysis of the Russian reform of corporate profit taxation (2002) is undertaken, as well as of the tax cuts in VAT (2004) and Unified Social Tax (UST) Rates (2005).

Suggested Citation

  • Vadim I. Arkin & Alexander D. Slastnikov & Svetlana V. Arkina, 2006. "Investment Attraction and Tax Reform: a Stochastic Model," Operations Research Proceedings, in: Hans-Dietrich Haasis & Herbert Kopfer & Jörn Schönberger (ed.), Operations Research Proceedings 2005, pages 501-506, Springer.
  • Handle: RePEc:spr:oprchp:978-3-540-32539-0_79
    DOI: 10.1007/3-540-32539-5_79
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:oprchp:978-3-540-32539-0_79. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.