The Design of Depressed Cities in the Far North and Their Image in Media Space after the Implosion of the USSR

Zhilavskaya, Irina V.; Onuchina, Kristina K.; Dubover, Denis A.

doi:10.1080/08949468.2020.1721199

Cited by 2 publications

(1 citation statement)

References 26 publications

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“…Getting input from statistical agencies requires much less effort than using different prognostic models. However, the use of predictive methods, including neural networks, gives a much more accurate result, which is critical when building a DCF model [20].…”

Section: Introductionmentioning

confidence: 99%

Ensemble Forecasting Methods in DCF Modelling of the Fair Value of Enterprises

Viedienieiev¹

2021

ujaf

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The purpose of this study is to improve the methodology for assessing the fair value of enterprises based on the DCF model with the use of ensemble methods for predicting the selling price of their products. The study compares the fair values of three Ukrainian agricultural enterprises. The value of each company was calculated in several ways: using forecast data from statistical agencies, calculated forecast values, and real indicators. The methodology is based on the use of methods and models for forecasting time series. The study uses neural networks, as well as prediction methods such as linear regression, FB Prophet model, Holt-Winters exponential smoothing method, SARIMA, XGBoost, which are combined into a single ensemble with the use of the stacking method. The study employed such general scientific methods as analysis, synthesis, abstraction, and comparison. Also, methods of graphical and tabular presentation of materials were applied. Statistical modelling was used to determine the parameters of the model. The study found that the DCF model can potentially be improved by using ensemble methods when predicting metrics such as inflation, exchange rates, and the selling price of goods and services. These metrics have a significant impact on the final result of the model and therefore the slightest changes in these input data can lead to significant deviations in the result. It was demonstrated that the use of ensemble methods only at the selling price can increase the accuracy of the model by 5-15%. It is advisable to use the results of the study in the investment activities of companies, in mergers and acquisitions of companies, as well as in measuring the fair or investment value of companies.

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Section: Introductionmentioning

confidence: 99%

Ensemble Forecasting Methods in DCF Modelling of the Fair Value of Enterprises

Viedienieiev¹

2021

ujaf

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Modeling the media educational potential of the television industry as a post-crisis phenomenon

Yefanov,

Pugachev

2023

Vestn. Ross. univ. družby nar., Ser. Literaturoved. žurnal.

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The modeling of the media educational potential of the television industry as a post-crisis phenomenon is considered. The complex of theoretical and empirical approaches such as modeling, case-study, semi-structured expert interviews was used. According to the results of this research, the fact that the television industry has the media educational potential and employs it in the professional activity is confirmed. There are three models of the media educational potential of the television industry (MEPTI), that are determined by differentiated professional aims: MEPTI in the media training of professionals; MEPTI in the qualification improvement of professionals; MEPTI in improving media literacy of broad audience. The realization of media educational potential is seen in federal and regional segments of the television industry, regardless the type of media companies. However, different forms of media educational potential are applied by the television industry that is seen not only in the collaboration with universities, but also in the autonomisation of media educational practices.

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The Design of Depressed Cities in the Far North and Their Image in Media Space after the Implosion of the USSR

Cited by 2 publications

References 26 publications

Ensemble Forecasting Methods in DCF Modelling of the Fair Value of Enterprises

Ensemble Forecasting Methods in DCF Modelling of the Fair Value of Enterprises

Modeling the media educational potential of the television industry as a post-crisis phenomenon

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