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The Replication of Credit Rating Outlooks according to Financial Statements of Companies

Student: Buriakova Olga

Supervisor: Victor A Lapshin

Faculty: Faculty of Economic Sciences

Educational Programme: Financial Engineering (Master)

Year of Graduation: 2020

This paper discloses the meaning and functions of credit rating outlooks of different companies and studies the influence of various financial ratios from corporate financial statements on credit rating outlooks of corresponding companies. An econometric model reveals that two financial indicators impact the likelihood of what outlook status ("Stable" or "Negative") rating agency Standard and Poor's prefers to give. Time frame of the analysis starts from 2011 and ends at the end of 2019.

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