KFU. Card publication. MODELING OF FORECASTING OF THE FIRM FINANCIAL INDICATORS PERFORMANCE

KAZAN
FEDERAL UNIVERSITY

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MODELING OF FORECASTING OF THE FIRM FINANCIAL INDICATORS PERFORMANCE

Form of presentation

Articles in international journals and collections

Year of publication

2017

Язык

английский

Authors, employees of KFU

Kirshin Igor Aleksandrovich, author

Bibliographic description in the original language

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.

Annotation

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

Keywords

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

The name of the journal

QUID-INVESTIGACION CIENCIA Y TECNOLOGIA

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=172545&p_lang=2

Resource files

File name	Size (MB)	Format
Dialnet_ModelingOfForecastingOfTheFirmFinancialIndicatorsP_6158787.pdf	0,46	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Kirshin Igor Aleksandrovich	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/eng/?p_id=172545&p_lang=2	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	Articles in international journals and collections	ru_RU