| Форма представления | Статьи в зарубежных журналах и сборниках |
| Год публикации | 2017 |
| Язык | английский |
|
Киршин Игорь Александрович, автор
|
| Библиографическое описание на языке оригинала |
Kirshin Igor Aleksandrovich, Tretyakova AnastasiyaAleksandrovna, MODELING OF FORECASTING OF THE FIRM FINANCIAL INDICATORS PERFORMANCE//QUID-INVESTIGACION CIENCIA Y TECNOLOGIA. - 2017. - Vol., Is.28. - P.1501-1507. |
| Аннотация |
The modeling of forecasting of the firm financial indicators performance by means of extrapolation method on the basis of polynomial function is carried out in the article. The authors empirically prove that the polynomial trend accurately reflects the dynamics of the firm's revenue with the seasonal nature of sales. For forecasting revenue, characterized by seasonal dynamics, the article developed an algorithm for constructing a model. For the purpose of approbation of the author's forecasting algorithm, the revenue forecast was modeled according to quarterly reports of Plant of Electrical Installation Products (PEIP) TatelectromontazhJSC for the period 2014 – 2016. Based on the obtained modeling results, the authors proved that modeling with the use of a polynomial trend provides a high-quality forecast of the dynamics of the firm's revenue in the conditions of a dynamically changing external environment. The proposed method for forecasting the revenue of PEIP TatelectromontazhJS Cal |
| Ключевые слова |
additive forecasting model, multiplicative prediction model, polynomial trend, seasonal and cyclical fluctuations |
| Название журнала |
QUID-INVESTIGACION CIENCIA Y TECNOLOGIA
|
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=172545 |
| Файлы ресурса | |
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Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Киршин Игорь Александрович |
ru_RU |
| dc.date.accessioned |
2017-01-01T00:00:00Z |
ru_RU |
| dc.date.available |
2017-01-01T00:00:00Z |
ru_RU |
| dc.date.issued |
2017 |
ru_RU |
| dc.identifier.citation |
Kirshin Igor Aleksandrovich, Tretyakova AnastasiyaAleksandrovna, MODELING OF FORECASTING OF THE FIRM FINANCIAL INDICATORS PERFORMANCE//QUID-INVESTIGACION CIENCIA Y TECNOLOGIA. - 2017. - Vol., Is.28. - P.1501-1507. |
ru_RU |
| dc.identifier.uri |
https://repository.kpfu.ru/?p_id=172545 |
ru_RU |
| dc.description.abstract |
QUID-INVESTIGACION CIENCIA Y TECNOLOGIA |
ru_RU |
| dc.description.abstract |
The modeling of forecasting of the firm financial indicators performance by means of extrapolation method on the basis of polynomial function is carried out in the article. The authors empirically prove that the polynomial trend accurately reflects the dynamics of the firm's revenue with the seasonal nature of sales. For forecasting revenue, characterized by seasonal dynamics, the article developed an algorithm for constructing a model. For the purpose of approbation of the author's forecasting algorithm, the revenue forecast was modeled according to quarterly reports of Plant of Electrical Installation Products (PEIP) TatelectromontazhJSC for the period 2014 – 2016. Based on the obtained modeling results, the authors proved that modeling with the use of a polynomial trend provides a high-quality forecast of the dynamics of the firm's revenue in the conditions of a dynamically changing external environment. The proposed method for forecasting the revenue of PEIP TatelectromontazhJS Cal |
ru_RU |
| dc.language.iso |
ru |
ru_RU |
| dc.subject |
additive forecasting model |
ru_RU |
| dc.subject |
multiplicative prediction model |
ru_RU |
| dc.subject |
polynomial trend |
ru_RU |
| dc.subject |
seasonal and cyclical fluctuations |
ru_RU |
| dc.title |
MODELING OF FORECASTING OF THE FIRM FINANCIAL INDICATORS PERFORMANCE |
ru_RU |
| dc.type |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|
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