Modeling Default Probabilities of the Chosen Czech Banks in the Time of the Financial Crisis
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F14%3A86092286" target="_blank" >RIV/61989100:27510/14:86092286 - isvavai.cz</a>
Výsledek na webu
<a href="http://waset.org/Publication/modeling-default-probabilities-of-the-chosen-czech-banks-in-the-time-of-the-financial-crisis/9999899" target="_blank" >http://waset.org/Publication/modeling-default-probabilities-of-the-chosen-czech-banks-in-the-time-of-the-financial-crisis/9999899</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Modeling Default Probabilities of the Chosen Czech Banks in the Time of the Financial Crisis
Popis výsledku v původním jazyce
One of the most important tasks in the risk management is the correct determination of probability of default (PD) of particular financial subjects. In this paper a possibility of determination of financial institution?s PD according to the credit-scoring models is discussed. The paper is divided into the two parts. The first part is devoted to the estimation of the three different models (based on the linear discriminant analysis, logit regression and probit regression) from the sample of almost threehundred US commercial banks. Afterwards these models are compared and verified on the control sample with the view to choose the best one. The second part of the paper is aimed at the application of the chosen model on the portfolio of three key Czech banks to estimate their present financial stability. However, it is not less important to be able to estimate the evolution of PD in the future. For this reason, the second task in this paper is to estimate the probability distribution of t
Název v anglickém jazyce
Modeling Default Probabilities of the Chosen Czech Banks in the Time of the Financial Crisis
Popis výsledku anglicky
One of the most important tasks in the risk management is the correct determination of probability of default (PD) of particular financial subjects. In this paper a possibility of determination of financial institution?s PD according to the credit-scoring models is discussed. The paper is divided into the two parts. The first part is devoted to the estimation of the three different models (based on the linear discriminant analysis, logit regression and probit regression) from the sample of almost threehundred US commercial banks. Afterwards these models are compared and verified on the control sample with the view to choose the best one. The second part of the paper is aimed at the application of the chosen model on the portfolio of three key Czech banks to estimate their present financial stability. However, it is not less important to be able to estimate the evolution of PD in the future. For this reason, the second task in this paper is to estimate the probability distribution of t
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
AH - Ekonomie
OECD FORD obor
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Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2014
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
International Journal of Social, Education, Economics and Management Engineering
ISSN
1307-6892
e-ISSN
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Svazek periodika
8
Číslo periodika v rámci svazku
12
Stát vydavatele periodika
SG - Singapurská republika
Počet stran výsledku
8
Strana od-do
3557 - 3563
Kód UT WoS článku
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EID výsledku v databázi Scopus
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