Výsledky vyhledávání - "Vasylieva Oksana"

Akademický článek

Comparative analysis of the stock quotes dynamics for IT-sector and the entertainment industry companies based on the characteristics of memory depth

Autor: Maksyshko Nataliia, Vasylieva Oksana

Publikováno v: SHS Web of Conferences, Vol 107, p 01003 (2021)

The article is devoted to the study and comparative analysis of the stock quotes dynamics for the world’s leading companies in the IT sector and the entertainment industry. Today, these areas are developing the fastest and most powerful, which attr

Externí odkaz: https://doaj.org/article/0c50c20607a84773b70266247711498d

Zobrazit plný text záznamu

Akademický článek

Modeling the assessment of investment projects for territorial communities in compliance with the concept of sustainable development

Autor: Polova Alyona, Maksyshko Nataliia, Vasylieva Oksana

Publikováno v: E3S Web of Conferences, Vol 280, p 04008 (2021)

The article is devoted to the problem of evaluation and selection of investment projects aimed at the development of territorial communities (TC) and take into account the need to pursue the goals of sustainable development at the local level. In the

Externí odkaz: https://doaj.org/article/a1455d87f0b74972baf75a9238b87dc3

Zobrazit plný text záznamu

Akademický článek

Method of investment projects evaluation for territorial communities taking into account the concept of sustainable development

Autor: Maksyshko Nataliia, Vasylieva Oksana, Polova Alyona

Publikováno v: E3S Web of Conferences, Vol 166, p 13020 (2020)

The article is devoted to solving the problem of evaluation and selection of investment projects aimed at developing territorial communities, taking into account the concept of sustainable development. The problem of choosing from possible alternativ

Externí odkaz: https://doaj.org/article/b610d42949164059986c35de30080116

Zobrazit plný text záznamu

Akademický článek

Diagnostics of a persistence property for quotations dynamics on high-tech stock markets

Autor: Maksyshko Nataliia, Vasylieva Oksana

Publikováno v: SHS Web of Conferences, Vol 65, p 06009 (2019)

The research purpose is diagnosis of the persistence property for the stock quotes time series of leading companies belonging to the high-tech sector: Apple Inc., Microsoft Corporation and Samsung Electronics Co. The persistence property or the trend

Externí odkaz: https://doaj.org/article/6644700f71c94293909deeb1ebb61378

Zobrazit plný text záznamu