Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Results found: 3

first rewind previous Page / 1 next fast forward last

Search results

Search:
in the keywords:  FINANCIAL DISTRESS
help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
1

ACCURACY OF MODELS PREDICTING CORPORATE BANKRUPTCY IN A SELECTED INDUSTRY BRANCH

100%
Čámská D.
Ekonomický časopis (Journal of Economics)
|
2016
|
vol. 64
|
issue 4
353 – 366
EN
The paper's main aim is an accuracy verification of dozens models predicting financial distress. The evaluated models were created in the past in developed countries and especially in transition economies. High probability of bankruptcy does not affect only an ailing enterprise itself but it also influences other business related entities or counterparties and therefore the results provided by models predicting financial distress have their serious usage as scoring models. Models predicting financial distress help the decision making process by predicting future development of selected business entities. Research hypotheses are based on the idea that already existing models predicting financial distress still have enough explanatory power and accuracy for decision making and there is no need for the creation of a new one. The research should answer the question which models should be recommended nowadays the most for practical use. The paper uses for the verification tools such as Type I Error, Type II Error, ROC Curves and related AuROC coefficients.
2

EARLY WARNING SYSTEM FOR THE EUROPEAN INSURANCE SECTOR

100%
Danieli L., Jakubik P.
Ekonomický časopis (Journal of Economics)
|
2022
|
vol. 70
|
issue 1
3 – 21
EN
This study proposes an Early Warning System model composed of macro-financial and company-specific indicators that could help to anticipate a potential market distress in the European insurance sector. A distress is defined as periods in which insurance companies’ equity prices crash and CDS spreads spike simultaneously. The model is estimated using a sample of 36 insurance companies that are listed. Based on a fixed-effects panel binomial logit specification, empirical evidence shows that economic overheating that could be manifested by high economic growth, inflation and interest rates have negative impact on insurance sector stability. At the company level, a drop in return on assets and price-to-book value or raising operating expenses increases the likelihood of distress occurrence.
3

PREDICTING FINANCIAL DISTRESS OF SLOVAK AGRICULTURAL ENTERPRISES

75%
Boďa M., Úradníček V.
Ekonomický časopis (Journal of Economics)
|
2019
|
vol. 67
|
issue 4
426 – 452
EN
The paper focuses upon the predictive validity of Chrastinová’s CH-Index and Gurčík’s G-Index devised for predicting financial distress of Slovak agricultural enterprises and confronts them with Altman's bankruptcy formula. Its aim is to verify whether these out-dated models preserve their usefulness in newer conditions of Slovak agribusinesses and whether they may be improved by redefining the cut-off points used in separating distressed and non-distressed enterprises. Using a data sample on Slovak agricultural enterprises for the period from 2009 until 2013, it is ascertained that the G-Index with redefined cut-off points may be tentatively recommended for financial distress prediction showing a balanced trade-off between distress and non-distress prediction accuracy.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.