Improving Cash Flow Forecasts of Corporate Borrowers

Student: Bezruchnikova Darya

Supervisor: Andrey M. Emelyanov

Faculty: Faculty of Economics, Management, and Business Informatics

Educational Programme: Economics (Bachelor)

Year of Graduation: 2019

This graduation qualifying work refers to quite modern studies of cash flow forecasting of corporate borrowers. After analyzing the current forecasting process used by Sberbank at this stage, some of its drawbacks were identified and a method for improving the current forecasting method was proposed. It is anticipated that the results of this work will help to improve the process of building the cash flow of corporate borrowers, namely to make it more accurate and simple. The economic effect from the implementation of the proposed method of building a forecast into the work of the bank was also calculated.

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