+7 925 966 4690, 9am6pm (GMT+3), Monday – Friday
ИД «Финансы и кредит»

JOURNALS

  

FOR AUTHORS

  

SUBSCRIBE

    
National Interests: Priorities and Security
 

Assessing the investment appeal of metallurgical companies

Vol. 18, Iss. 2, FEBRUARY 2022

Received: 25 October 2021

Received in revised form: 29 November 2021

Accepted: 19 December 2021

Available online: 15 February 2022

Subject Heading: INNOVATION AND INVESTMENT

JEL Classification: G24, G32

Pages: 321–340

https://doi.org/10.24891/ni.18.2.321

Elena Yu. SIDOROVA Financial University under Government of Russian Federation, Moscow, Russian Federation
Ejsidorova@yandex.ru

https://orcid.org/0000-0002-4385-7173

Yurii Yu. KOSTYUKHIN National University of Science and Technology MISIS, Moscow, Russian Federation
Kostuhinyury@mail.ru

https://orcid.org/0000-0003-2108-0241

Subject. The article deals with investment activity.
Objectives. We focus on the analysis of investment potential of metal companies in Russia.
Methods. The study applies regression and correlation techniques.
Results. We developed correlation matrices and regression models, enabling to select risk-dominant factors and macroeconomic indicators to assess investment attractiveness.
Conclusions. The model of forecasting the stock quotes will help comprehensively assess the situation and make rational and effective management decisions that contribute to improving the competitiveness of companies.

Keywords: investment attractiveness, potential, regression analysis, stock, capitalization

References:

  1. Endovitskii D.A., Babushkin V.A., Baturina N.A. et al. Analiz investitsionnoi privlekatel'nosti organizatsii: monografiya [Analysis of investment attractiveness of the organization: a monograph]. Moscow, KnoRus Publ., 2014, 374 p.
  2. Popov M.S., Lutovinov P.P. [The usage of categories of potential in decision-making system on management of the industrial-innovative activity of the enterprise]. Vestnik Yuzhno-Ural'skogo gosudarstvennogo universiteta. Seriya: Ekonomika i menedzhment = Bulletin of South Ural State University. Series: Economics and Management, 2010, no. 20, pp. 57–62. URL: Link (In Russ.)
  3. Drucker P.F. Praktika menedzhmenta [The Practice of Management]. Moscow, Vil’yams Publ., 2007, 397 p.
  4. Kaplan R.S., Norton D.P. Sbalansirovannaya sistema pokazatelei: ot strategii k deistviyu [The Balanced Scorecard: Translating Strategy into Action]. Moscow, Olimp-Biznes Publ., 2004, 294 p.
  5. Matyash I.V. [Problems of the analysis of market systemic efficiency of the enterprises]. Izvestiya Altaiskogo gosudarstvennogo universiteta = Izvestiya of Altai State University, 2010, no. 2-1, pp. 253–262. URL: Link (In Russ.)
  6. Larionova I.A., Rozhkov I.M., Kostyukhin Yu.Yu. et al. [Formation of the estimated vector for the diagnosis of the economic situation in the enterprise]. Ekonomika promyshlennosti = Russian Journal of Industrial Economics, 2019, vol. 12, no. 1, pp. 56–68. (In Russ.) URL: Link
  7. Antunes F., Ribeiro B., Pereira F. Probabilistic Modeling and Visualization for Bankruptcy Prediction. Applied Soft Computing, 2017, vol. 60, pp. 831–843. URL: Link
  8. Daemi A., Kodamana H., Huanga B. Gaussian Process Modelling with Gaussian Mixture Likelihood. Journal of Process Control, 2019, vol. 81, pp. 209–220. URL: Link
  9. Zelenkov Yu., Fedorova E., Chekrizov D. Two-step Classification Method Based on Genetic Algorithm for Bankruptcy Forecasting. Expert System with Applications, 2017, vol. 88, pp. 393–401. URL: Link
  10. Liang D., Lu C.-C., Tsai C.-F., Shih G.-A. Financial Ratios and Corporate Governance Indicators in Bankruptcy Prediction: A Comprehensive Study. European Journal of Operational Research, 2016, vol. 252, iss. 2, pp. 561–572. URL: Link

View all articles of issue

 

ISSN 2311-875X (Online)
ISSN 2073-2872 (Print)

Journal current issue

Vol. 20, Iss. 2
February 2024

Archive