Method of Calculation of Institutional Investors Stability under Conditions of Digital Economy

DOI

10.2991/csis-18.2019.53How to use a DOI?

Keywords

mathematical model; project; institutional investor; forecast

Abstract

The relevance of the study is caused by the necessity to find conditions and ways to assess the stability of institutional establishments in the Internet economy, as well as to develop the practical methods forecasting the duration of their functioning. The transformation to the information society and digitalization results in an increase of the number of people using the services of the digital economy, and provokes a large amount of processing data. The development of a practical methodology for forecasting the long-term performance of institutional establishments is also an important challenge. The authors of the article give the theory and the methodology of the approach to the problem of mathematical modeling of the dynamics of highly profitable investment projects (projects HYIP). The obtained results provide an algorithmic basis for the creation of software products. This will allow real-time evaluation of information flows when the interface format will be changed to digital platforms. We can apply the mathematical model developed in this research, first of all, to the long-term forecasting of the activities of such a large institutional investor as the Pension Fund.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Sergey Sergeev
AU  - Larisa Borisoglebskaya
AU  - Olga Pilipenko
PY  - 2019/02
DA  - 2019/02
TI  - Method of Calculation of Institutional Investors Stability under Conditions of Digital Economy
BT  - Proceedings of the International Conference Communicative Strategies of Information Society (CSIS 2018)
PB  - Atlantis Press
SP  - 257
EP  - 262
SN  - 2352-5398
UR  - https://doi.org/10.2991/csis-18.2019.53
DO  - 10.2991/csis-18.2019.53
ID  - Sergeev2019/02
ER  -