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Modelling Of Investment Processes In The Sphere Of Social House Building

Author

Listed:
  • Larisa Seliutina

    (Petersburg State Transport University Emperor Alexander I Saint-Petersburg, Russia)

  • Marina Egorova

    (The Bonch-Bruevich Saint - Petersburg State University of Telecommunications, Saint-Petersburg, Russia)

  • Kseniia Bulgakova

    (Saint-Petersburg State University of Economics, Saint-Petersburg, Russia)

Abstract

The problem of not enough public housing for low-income citizens is very urgent in the entire world. This article is dedicated to the topical question; how do we select optimal investment projects and implement successful investment programs to fund public housing projects better. We have formulated basic principles for the formation of an optimal portfolio to use as a standard for investment programs for public housing construction projects. As selection criteria, instead of profitability and risk offered in classical portfolio theory to which private investors are paying attention, we propose the use of social satisfaction survey results and amount of available funding to determine the effectiveness of the programs. We have developed several mathematical models that help aid in the selection of investment projects based on these new requirements. The application of these models in the selected projects selection within the framework of investment programs of public housing construction will allow the most effective use of funds directed to the development of the public housing

Suggested Citation

  • Larisa Seliutina & Marina Egorova & Kseniia Bulgakova, 2017. "Modelling Of Investment Processes In The Sphere Of Social House Building," CBU International Conference Proceedings, ISE Research Institute, vol. 5(0), pages 67-72, September.
    • Handle: RePEc:aad:iseicj:v:5:y:2017:i:0:p:67-72
    DOI: 10.12955/cbup.v5.904
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    More about this item

    Keywords

    Constructionhousing; investment; finance;
    All these keywords.

    JEL classification:

    • R39 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other

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