Software system for supporting the decision-making on the investments

Описание

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

Конференция: International Conference on Information Technology in Business and Industry, ITBI 2020

Год издания: 2020

Идентификатор DOI: 10.1088/1742-6596/1661/1/012198

Аннотация: Investments in real estate are considered by investors as the best way to preserve and increase capital in the long term. Investing in real estate allows the investor to dispose independently of the acquired property at his discretion, including giving and inheriting, and using it for investment purposes - to lease or resell for prПоказать полностьюofit. It is proposed to analyze the algorithm of actions to facilitate the decision-making on the investment purchase of residential real estate and to work out some "unchanged"points of the algorithm that can help in making this decision. Based on this, the stages that are included in this algorithm are analyzed, as well as three types of strategies for investing in residential real estate. A program is considered that allows calculating the profitability of investing in an object for an investor for each type of strategy, using certain factors associated with the property. © Published under licence by IOP Publishing Ltd.

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Издание

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1661, Is. 1

Номера страниц: 12198

ISSN журнала: 17426588

Издатель: IOP Publishing Ltd

Персоны

  • Tynchenko V.S. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Kukartsev V.V. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Petrenko V.E. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Milov A.V. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation)
  • Antamoshkina O.I. (Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Krasnoyarsk State Agrarian University, Mira Avenue 90, Krasnoyarsk, 660049, Russian Federation)

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