New Approaches for the Financial Distress Classification in Agribusiness

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F13%3A00203099" target="_blank" >RIV/62156489:43110/13:00203099 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.11118/actaun201361041177" target="_blank" >http://dx.doi.org/10.11118/actaun201361041177</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.11118/actaun201361041177" target="_blank" >10.11118/actaun201361041177</a>

Jazyk výsledku

angličtina

Název v původním jazyce

New Approaches for the Financial Distress Classification in Agribusiness

Popis výsledku v původním jazyce

After the recent financial crisis the need for unchallenged tools evaluating the financial health of enterprises has even arisen. Apart from well-known techniques such as Z-score and logit models, a new approaches were suggested, namely the data envelopment analysis (DEA) reformulation for bankruptcy prediction and production function-based economic performance evaluation (PFEP). Being recently suggested, these techniques have not yet been validated for common use in financial sector, although as for DEA approach some introductory studies are available for manufacturing and IT industry. In this contribution we focus on the thorough validation calculations that evaluate these techniques for the specific agribusiness industry. To keep the data as homogeneous as possible we limit the choice of agribusiness companies onto the area of the countries of Visegrad Group. The extensive data set covering several hundreds of enterprises were collected employing the database Amadeus of Bureau van D

Název v anglickém jazyce

New Approaches for the Financial Distress Classification in Agribusiness

Popis výsledku anglicky

After the recent financial crisis the need for unchallenged tools evaluating the financial health of enterprises has even arisen. Apart from well-known techniques such as Z-score and logit models, a new approaches were suggested, namely the data envelopment analysis (DEA) reformulation for bankruptcy prediction and production function-based economic performance evaluation (PFEP). Being recently suggested, these techniques have not yet been validated for common use in financial sector, although as for DEA approach some introductory studies are available for manufacturing and IT industry. In this contribution we focus on the thorough validation calculations that evaluate these techniques for the specific agribusiness industry. To keep the data as homogeneous as possible we limit the choice of agribusiness companies onto the area of the countries of Visegrad Group. The extensive data set covering several hundreds of enterprises were collected employing the database Amadeus of Bureau van D

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

GA - Zemědělská ekonomie

OECD FORD obor

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Projekt

<a href="/cs/project/GA13-25897S" target="_blank" >GA13-25897S: Neholonomní vazby v optimálním řízení dynamických ekonomických systémů v zemědělství a přírodních zdrojích</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název periodika

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis

ISSN

1211-8516

e-ISSN

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Svazek periodika

61

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

6

Strana od-do

1177-1182

Kód UT WoS článku

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EID výsledku v databázi Scopus

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