Determination and Analysis of Actual IN05 Accuracy in Prediction of Creditworthiness
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F15%3A39899592" target="_blank" >RIV/00216275:25410/15:39899592 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Determination and Analysis of Actual IN05 Accuracy in Prediction of Creditworthiness
Original language description
The IN05 is considered as the most accurate financial model that predicts the creditworthiness of the company in a measurable way. IN05 was based on the financial data from 2004. It is an updated version of the model IN01 that showed different predictiveability in verifying in 2005, only 4 years after its creation. The situation in the manufacturing industry evolves, and with following 8 years the risk-free rates, interest rates, risk rates and sector averages have changed. The question is how much theability of IN05 to predict economic value added (EVA) has changed in consequence of it. The paper aims to determine the current predictive power and the rate of return of the model IN05. The verification sample was made of financial data off 1,224 companies in the manufacturing sector. These companies showed no symptoms of financial instability in the form of execution, insolvency, liquidation or negative equity in 2013. The paper also presents solutions how to improve the predictive ab
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
European Financial Systems 2015: Proceedings of the 12th International Scientific Conference
ISBN
978-80-210-7962-5
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
335-342
Publisher name
Masarykova univerzita
Place of publication
Brno
Event location
Brno
Event date
Jun 18, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000370679200045