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Modeling of Forecasting Financial Statement

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Comprehensible Science (ICCS 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 315))

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Abstract

The article investigates the modeling of forecasting financial statement, which will facilitate the procedure of assessing the risks and prospects for improving the financial activity of the enterprise in the digital age. The views of world famous scientists on the essence of forecasting the activity of companies using Excel are reflected. The procedure of modeling the methodology of forecasting the financial report of the company is proposed. According to the yearly financial report of the National Joint Stock Company «Naftogaz of Ukraine» shows an example of the implementation of the proposed procedure for modeling steps for forecasting financial reports for the coming year. The considered forms of forecasting tables will promote unification of analytical calculations and will increase clearness and informativeness of forecast indicators in the conditions of digital technologies. The results of the study are useful for users in order to make the right management decisions about the provision of financial resources to the entity.

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Author information

Authors and Affiliations

  1. National Aviation University, 1, Liubomyr Husar Avenue, Kyiv, 03067, Ukraine

    Liudmyla Lakhtionova & Volodymyr But

  2. Kyiv National Economic University named after Vadym Hetman, 54/1, Peremohy Avenue, Kyiv, 03057, Ukraine

    Svitlana Kalabukhova & Larysa Hnylytska

Authors
  1. Liudmyla Lakhtionova
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  2. Volodymyr But
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  3. Svitlana Kalabukhova
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  4. Larysa Hnylytska
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Corresponding author

Correspondence to Liudmyla Lakhtionova .

Editor information

Editors and Affiliations

  1. Institute of Certified Specialists ICS, Perm, Russia

    Tatiana Antipova

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Lakhtionova, L., But, V., Kalabukhova, S., Hnylytska, L. (2022). Modeling of Forecasting Financial Statement. In: Antipova, T. (eds) Comprehensible Science. ICCS 2021. Lecture Notes in Networks and Systems, vol 315. Springer, Cham. https://doi.org/10.1007/978-3-030-85799-8_13

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