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February 9, 2026SHILAP Revista de lepidopterología0 citationsOpen Access

Forecasting Budget Revenues Using the ARIMA Time Series Model

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IUIonela URSU

Key Points

  • The aim is to forecast budget revenues using the ARIMA time series model to support management decisions.
  • Utilized the ARIMA time series model for forecasting budget revenues.
  • Analyzed historical budget data to identify trends and patterns.
  • Provided a systematic approach to budget planning and forecasting.
  • Observed an increasing trend in forecasted budget revenues for the analyzed year.
  • Indicated a favorable sign of revenue growth for the company.

Abstract

In recent decades, information has become one of the most important resources of a company, and modern management, based on flexibility and dynamism, requires complex and operational information. But how relevant, pertinent and in time information can be obtained? What methods and tools can be used to provide the most accurate information when it comes to planning and forecasting? A basic tool of accounting and controlling is represented by the budget, especially its forecasting function. In this context, for this study, the forecast of the budget revenues is done by using the ARIMA time series model. An increasing trend in the forecast for the analyzed year was observed, which represents a favorable sign for the company in terms of revenue growth.

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Cite This Study

Ionela URSU (2026) studied this question.

synapsesocial.com/papers/69897a06f0ec2af6756e828dhttps://doi.org/10.20869/auditf/2026/181/005
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