title: Identification of factors for assessing  credit rating of non-financial companies
metadata.name: dc.contributor.author
metadata.value: Pomortsev, Gennadii S.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Astakhova, Alyona А.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2023-06-20T17:43:00Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2023-06-20T17:43:00Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2022-09
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Pomortsev G. S., Astakhova A. A. 2022. Identification of factors for assessing  credit rating of non-financial companies. Russian Management Journal 20 (3): 361–384. https://doi.org/10.21638/spbu18.2022.303
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu18.2022.303
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/41639
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: Goal: an improvement of the quality and accuracy of credit rating estimation, to add non-financial companies’ characteristics to the assessment, and to compare the importance of factors for different industries and countries.
  
  Methodology: the use of exploratory factor analysis and ordered logistic regression models. The study is based on publicly available data on non-financial companies from different industries and countries for the period from 2007 to 2021.
  
  Findings: a group of financial variables is the most significant in credit risk assessment for companies from developed countries, for emerging markets, macroeconomic variables mostly determine credit ratings instead. The nonfinancial variables have diverse effects, but as a group increase the accuracy of the credit rating assessment.
  
  Originality and contribution of the authors: there is limited research on the topic of credit rating assessment of non-financial companies with the inclusion of non-financial factors. In addition, the presented research contributes to the search for new relevant indicators that can be introduced instead of the qualitative variables used by international rating agencies and requiring expert assessment.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Russian Management Journal;Volume 20; Issue 3
metadata.lang: -
metadata.name: dc.subject
metadata.value: credit default prediction
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: modeling of credit ratings
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: credit assessment of non-financial companies
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: credit rating system
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: ESG rating
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: women employees
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: emerging countries
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Identification of factors for assessing  credit rating of non-financial companies
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 03.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/41639/1/03.pdf
resources.format: Adobe PDF
resources.size: 978,32 kB