IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-319-49559-0_63.html
   My bibliography  Save this book chapter

Using Rating for Credit Risk Measurement

In: New Trends in Finance and Accounting

Author

Listed:
  • Anna Siekelová

    (University of Žilina)

Abstract

Credit risk is the risk of loss of principal or loss of a financial reward stemming from a borrower’s failure to repay a loan or otherwise meet a contractual obligation. The rating can be a relatively simple and quality tool for investors. It is an independent evaluation of the entity’s ability and willingness to meet its future obligations. Rating is a standard product of the financial and capital markets, whereby it is possible to determine the risk of the entity. Risk rating analysis consists in evaluating financial (“hard factors”) and non-financial factors (“soft factors”). Hard facts are calculated from the financial statements of the company through the implementation of financial-economic analysis to provide a reliable statement about the financial stability of the company and its financial health. The values of indicators which are achieved are combined according to their significance, and then they are transferred to the internal rating scale. Then, this value is used to express quantitative rating of entity. This contribution deals with calculation of quantitative criteria. The aim of the paper is determining the rating of selected companies through quantitative indicators compared to the values of these indicators that are reached in the industry. Based on the practical implementation, we show how we can use rating for credit risk measurement.

Suggested Citation

  • Anna Siekelová, 2017. "Using Rating for Credit Risk Measurement," Springer Proceedings in Business and Economics, in: David Procházka (ed.), New Trends in Finance and Accounting, chapter 0, pages 689-697, Springer.
  • Handle: RePEc:spr:prbchp:978-3-319-49559-0_63
    DOI: 10.1007/978-3-319-49559-0_63
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Podhorska Ivana & Valaskova Katarina & Stehel Vojtech & Kliestik Tomas, 2019. "Possibility of Company Goodwill Valuation: Verification in Slovak and Czech Republic," Management & Marketing, Sciendo, vol. 14(3), pages 338-356, September.
    2. Podhorska Ivana & Kovacova Maria & Valaskova Katarina, 2018. "Searching for Key Factors in Enterprise Bankrupt Prediction: A Case Study in Slovak Republic," Economics and Culture, Sciendo, vol. 15(1), pages 78-87, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:prbchp:978-3-319-49559-0_63. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.