recenzní posudek článku NOVOTNÁ, M.: ?Estimating credit rating models by a logistic regression approach?

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F11%3A00054281" target="_blank" >RIV/00216224:14560/11:00054281 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

čeština

Název v původním jazyce

recenzní posudek článku NOVOTNÁ, M.: ?Estimating credit rating models by a logistic regression approach?

Popis výsledku v původním jazyce

Managing credit risk is an important part of risk management and this area has attracted a huge attention, especially in the context of recent financial crisis. An increasing need to actively and effectively manage credit risk across many sectors of theeconomy has resulted in more sophisticated tools and techniques - models. The main principle of these models is to give basic information about the company?s operating characteristics. Quantitative models provide rating based on publically available financial information only. The paper is aimed at the estimation of credit rating models using a large sample of European companies. Results of the analysis confirm the importance of profitability, capitalization and interest coverage for credit rating assignment.

Název v anglickém jazyce

review report of the article NOVOTNÁ, M.: ?Estimating credit rating models by a logistic regression approach?

Popis výsledku anglicky

Managing credit risk is an important part of risk management and this area has attracted a huge attention, especially in the context of recent financial crisis. An increasing need to actively and effectively manage credit risk across many sectors of theeconomy has resulted in more sophisticated tools and techniques - models. The main principle of these models is to give basic information about the company?s operating characteristics. Quantitative models provide rating based on publically available financial information only. The paper is aimed at the estimation of credit rating models using a large sample of European companies. Results of the analysis confirm the importance of profitability, capitalization and interest coverage for credit rating assignment.

Druh

O - Ostatní výsledky

CEP obor

AH - Ekonomie

OECD FORD obor

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Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů