IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/2954795.html
   My bibliography  Save this article

Optimization of Tourism Real Estate Development Project Based on Option Premium Model

Author

Listed:
  • Donglei Ying
  • Ahmed Farouk

Abstract

Compared with that of traditional housing real estate, the development of tourism real estate is time-consuming, complex, and irreversible. It is hard to guide investment decision-making on tourism real estate with the conventional discount cash flow (DCF) method. This paper aims to demonstrate that the real option method can improve and optimize the investment decision-making on tourism real estate. Through case analysis, the real option model, i.e., the classic American real option model, and binary tree value distribution model were adopted to analyze the factors affecting the real option of tourism real estate, optimize the development sequence of tourism real estate project, and demonstrate the phased development value of tourism real state, thereby enhancing the development value of tourism real estate projects. The case analysis proves that tourism real estate investment is fully consistent with real option in the uncertain spatiotemporal attributes: uncertainty, irreversibility, and timeliness. Therefore, tourism real estate project carries obvious features of real option. The decision-making by the real option model is much more scientific and superior than that by the conventional DCF method. Since the application of real option theory has been emphasizing housing real estate over tourism real estate, the research results enrich the theory on real option-based investment decision-making for real estate and expand the application scope of real option.

Suggested Citation

  • Donglei Ying & Ahmed Farouk, 2021. "Optimization of Tourism Real Estate Development Project Based on Option Premium Model," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-8, August.
  • Handle: RePEc:hin:jnddns:2954795
    DOI: 10.1155/2021/2954795
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/ddns/2021/2954795.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/ddns/2021/2954795.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2021/2954795?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
    ---><---

    Citations

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


    Cited by:

    1. Moaaz Kabil & Mohamed Abouelseoud & Faisal Alsubaie & Heba Mostafa Hassan & Imre Varga & Katalin Csobán & Lóránt Dénes Dávid, 2022. "Evolutionary Relationship between Tourism and Real Estate: Evidence and Research Trends," Sustainability, MDPI, vol. 14(16), pages 1-19, August.

    More about this item

    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:hin:jnddns:2954795. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.