Tax avoidance and Credit Rating association

Thesis title: Tax avoidance and Credit Rating association
Author: Orlova, Daria
Thesis type: Diploma thesis
Supervisor: Watrin, Christoph
Opponents: Molín, Jan
Thesis language: English
Abstract:
In this research, I present the analysis of the relationship between credit rating and tax avoidance. I found out that the lower the cash effective tax rate the stronger the association with credit rating. Sensitivity analysis showed that the probability of falling into more favorable credit rating category is increases and the probability of falling into less favorable category decreases if cash effective tax rate increases at least by 1%. Also, the negative association between book-tax differences and credit rating found.
Keywords: Book-tax differences; Ta avoidance; Credit rating; Cash effective tax rate
Thesis title: Tax avoidance and Credit Rating association
Author: Orlova, Daria
Thesis type: Diplomová práce
Supervisor: Watrin, Christoph
Opponents: Molín, Jan
Thesis language: English
Abstract:
In this research, I present the analysis of the relationship between credit rating and tax avoidance. I found out that the lower the cash effective tax rate the stronger the association with credit rating. Sensitivity analysis showed that the probability of falling into more favorable credit rating category is increases and the probability of falling into less favorable category decreases if cash effective tax rate increases at least by 1%. Also, the negative association between book-tax differences and credit rating found.
Keywords: Tax avoidance; Credit rating; Book-tax differences; Cash effective tax rate

Information about study

Study programme: Finance and Accounting
Type of study programme: Magisterský studijní program
Assigned degree: Ing.
Institutions assigning academic degree: Vysoká škola ekonomická v Praze
Faculty: Faculty of Finance and Accounting
Department: Deparment of Finacial Accounting and Auditing

Information on submission and defense

Date of assignment: 1. 11. 2016
Date of submission: 31. 5. 2017
Date of defense: 15. 6. 2017
Identifier in the InSIS system: https://insis.vse.cz/zp/60073/podrobnosti

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