SHS Web Conf.
Volume 61, 2019Innovative Economic Symposium 2018 - Milestones and Trends of World Economy (IES2018)
|Number of page(s)||9|
|Section||Strategic Partnerships in International Trade|
|Published online||30 January 2019|
The fuzzy approach for estimating the creditworthiness and credit risk of issuers of corporate bonds
The Institute of Technology and Business in České Budějovice, School of Expertness and Valuation, Okružní 517/10, 37001 České Budějovice, Czech Republic
* Corresponding author: firstname.lastname@example.org
The uncertainty in the financial market is often perceived as a risk of deviation from expected results. However, uncertainty is associated with vagueness in the sense of ambiguity or obscurity, which, unlike the risk, is not describable in the form of deterministic or stochastic models. Given the vagueness of the data entering the credit risk assessment models, the fuzzy decision-making process is introduced in the theoretical part and implemented in the application part as an effective alternative to standard models. The fuzzy approach is used to address the problem of the creditworthiness of the corporate bonds issuers and the credit risk. Data sources are of a qualitative and quantitative nature based on the ratings of Standard and Poor's and Moody's and financial indicators relevant for the creditor. The resulting creditworthiness and credit risk values rectify the credit ratings of rating agencies and are the original contribution to the topic solved. In conclusion, the impact of company ownership on the creditor´s subjective perception of creditworthiness, or respectively credit risk is outlined.
Key words: Fuzziness / Creditworthiness / Credit risk / ROA / Rating
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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