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Development of approaches to evaluating the investment attractiveness of the company

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: 19th International Multidisciplinary Scientific Geoconference, SGEM 2019

Год издания: 2019

Идентификатор DOI: 10.5593/sgem2019/5.3/S21.020

Ключевые слова: business value, construction companies, financial transparency, investment attractiveness

Аннотация: In most cases, it is difficult for an investor to make a choice of a particular enterprise for the investment due to the uncertainty of business development in a constantly changing market economy. It is recommended to invest in companies with a good reputation, since such investments are less risky in conditions of uncertainty. First of all they try to invest in companies that meet the basic needs of customers such as trade, food production, and construction. The main problem for an investor in decision making concerning money investment in a company is a correct evaluation of its investment attractiveness. The paper presents and approves two approaches to evaluating the investment attractiveness of a company to solve this problem. It allows an investor to make a choice in favor of those companies in which it is profitable to invest. A comparison of the results of the proposed approaches is given. A number of construction companies from Krasnoyarsk, a large industrial center in Central and Eastern Siberia, are used as a research object. The choice of the studied object is due to the rapid development of the construction industry in Krasnoyarsk. Note also that these approaches to evaluating investment attractiveness can be used for smaller companies and other manufacturing industries. © SGEM2019, All rights reserved.

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Издание

Журнал: International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM

Выпуск журнала: Vol. 19, Is. 5.3

Номера страниц: 155-162

ISSN журнала: 13142704

Авторы

  • Stupina A. (Siberian Federal University, Russian Federation, Reshetnev Siberian State University of Science and Technology, Russian Federation, Krasnoyarsk State Agrarian University, Russian Federation)
  • Kuzmich R. (Siberian Federal University, Russian Federation)
  • Karaseva M. (Siberian Federal University, Russian Federation, Reshetnev Siberian State University of Science and Technology, Russian Federation)
  • Bagdasarian I. (Siberian Federal University, Russian Federation)
  • Stupin A. (Reshetnev Siberian State University of Science and Technology, Russian Federation)

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