The stability of bankruptcy predictors in the construction and manufacturing industries at various times before bankruptcy

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F17%3APU123990" target="_blank" >RIV/00216305:26510/17:PU123990 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.ekonomie-management.cz/archiv/vyhledavani/detail/1396-the-stability-of-bankruptcy-predictors-in-the-construction-and-manufacturing-industries-at-various-times-before-bankruptcy/" target="_blank" >http://www.ekonomie-management.cz/archiv/vyhledavani/detail/1396-the-stability-of-bankruptcy-predictors-in-the-construction-and-manufacturing-industries-at-various-times-before-bankruptcy/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15240/tul/001/2017-2-009" target="_blank" >10.15240/tul/001/2017-2-009</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The stability of bankruptcy predictors in the construction and manufacturing industries at various times before bankruptcy

Popis výsledku v původním jazyce

This article focuses on the design of bankruptcy models, specifi cally the selection of suitable predictors. Previous research has drawn mainly on data concerning manufacturing companies one year before bankruptcy. Our research examines fi nancial ratios that are suitable bankruptcy indicators in two different industries (the construction and manufacturing industries) over a period of fi ve years prior to bankruptcy. Our main objective is to verify whether bankruptcy predictors are industry-specifi c. Another objective was to determine which indicators can detect signs of bankruptcy earlier than one period before bankruptcy. We presume that the application of industryspecifi c indicators can help increase the predictive accuracy of bankruptcy models when applied to a particular industry. Per analogiam, we assume that the inclusion of indicators capable of detecting signs of bankruptcy more than a year before its occurrence will increase their predictive capacity. Signifi cant predictors were fi rst identifi ed on a linear basis using the parametric t-test or F-test; for the sake of comparison, a non-linear non-parametric Boosted Trees method was also applied. Data for a total of 34,229 active companies and 304 companies that went bankrupt during the relevant period was analyzed. The research confi rmed our presumption that bankruptcy predictors are both industry and time specifi c. Four years before bankruptcy, the indicators return on assets, inventory turnover and asset structure are important predictors in both the manufacturing and construction industries. The net working capital to total assets ratio is a specifi c predictor for manufacturing companies in the third year before bankruptcy, as is the short-term indebtedness indicator. In the construction industry, specifi c predictors are the net working capital to sales ratio in the third and fi rst years before bankruptcy, and the interest coverage indicator in all four years preceding bankruptcy. Were these in

Název v anglickém jazyce

The stability of bankruptcy predictors in the construction and manufacturing industries at various times before bankruptcy

Popis výsledku anglicky

This article focuses on the design of bankruptcy models, specifi cally the selection of suitable predictors. Previous research has drawn mainly on data concerning manufacturing companies one year before bankruptcy. Our research examines fi nancial ratios that are suitable bankruptcy indicators in two different industries (the construction and manufacturing industries) over a period of fi ve years prior to bankruptcy. Our main objective is to verify whether bankruptcy predictors are industry-specifi c. Another objective was to determine which indicators can detect signs of bankruptcy earlier than one period before bankruptcy. We presume that the application of industryspecifi c indicators can help increase the predictive accuracy of bankruptcy models when applied to a particular industry. Per analogiam, we assume that the inclusion of indicators capable of detecting signs of bankruptcy more than a year before its occurrence will increase their predictive capacity. Signifi cant predictors were fi rst identifi ed on a linear basis using the parametric t-test or F-test; for the sake of comparison, a non-linear non-parametric Boosted Trees method was also applied. Data for a total of 34,229 active companies and 304 companies that went bankrupt during the relevant period was analyzed. The research confi rmed our presumption that bankruptcy predictors are both industry and time specifi c. Four years before bankruptcy, the indicators return on assets, inventory turnover and asset structure are important predictors in both the manufacturing and construction industries. The net working capital to total assets ratio is a specifi c predictor for manufacturing companies in the third year before bankruptcy, as is the short-term indebtedness indicator. In the construction industry, specifi c predictors are the net working capital to sales ratio in the third and fi rst years before bankruptcy, and the interest coverage indicator in all four years preceding bankruptcy. Were these in

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

E a M: Ekonomie a Management

ISSN

1212-3609

e-ISSN

—

Svazek periodika

20

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

18

Strana od-do

116-133

Kód UT WoS článku

000405644600009

EID výsledku v databázi Scopus

2-s2.0-85021256562