КФУ. Карточка публикации. MODELING OF FORECASTING OF THE FIRM FINANCIAL INDICATORS PERFORMANCE

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MODELING OF FORECASTING OF THE FIRM FINANCIAL INDICATORS PERFORMANCE

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2017

Язык

английский

Авторы, сотрудники КФУ

Киршин Игорь Александрович, автор

Авторы, студенты КФУ

Третьякова Анастасия Александровна, автор

Библиографическое описание на языке оригинала

Igor Aleksandrovich Kirshin. MODELING OF FORECASTING OF THE FIRM FINANCIAL INDICATORS PERFORMANCE / I.A.Kirshin, A.A. Tretyakova / QUID-INVESTIGACION CIENCIA Y TECNOLOGIA. - 2017. - Special Issue N?1- P. 1501-1507. ISSN: 1692-343X, Medellín-Colombia

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.

Ключевые слова

additive forecasting model, multiplicative prediction model, polynomial trend, seasonal and cyclical fluctuations

Название журнала

QUID

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https://repository.kpfu.ru/?p_id=167139

Файлы ресурса

Название файла	Размер (Мб)	Формат
Kirshin_Tretjakova_Modeling.pdf	0,46	pdf	посмотреть / скачать

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Киршин Игорь Александрович	ru_RU
dc.contributor.author	Третьякова Анастасия Александровна	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	Igor Aleksandrovich Kirshin. MODELING OF FORECASTING OF THE FIRM FINANCIAL INDICATORS PERFORMANCE / I.A.Kirshin, A.A. Tretyakova / QUID-INVESTIGACION CIENCIA Y TECNOLOGIA. - 2017. - Special Issue N?1- P. 1501-1507. ISSN: 1692-343X, Medellín-Colombia	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=167139	ru_RU
dc.description.abstract	QUID	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.	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