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Statements

Subject Item
n2:RIV%2F62156489%3A43110%2F13%3A00203099%21RIV14-GA0-43110___
rdf:type
n12:Vysledek skos:Concept
dcterms:description
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 Dijk. We present the validation results for each of the four mentioned methods, outline the strengths and weaknesses of each approach and discuss the valid suggestions for the effective detection of financial problems in the specific branch of agribusiness. 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 Dijk. We present the validation results for each of the four mentioned methods, outline the strengths and weaknesses of each approach and discuss the valid suggestions for the effective detection of financial problems in the specific branch of agribusiness.
dcterms:title
New Approaches for the Financial Distress Classification in Agribusiness New Approaches for the Financial Distress Classification in Agribusiness
skos:prefLabel
New Approaches for the Financial Distress Classification in Agribusiness New Approaches for the Financial Distress Classification in Agribusiness
skos:notation
RIV/62156489:43110/13:00203099!RIV14-GA0-43110___
n12:predkladatel
n13:orjk%3A43110
n3:aktivita
n19:P
n3:aktivity
P(GA13-25897S)
n3:cisloPeriodika
4
n3:dodaniDat
n15:2014
n3:domaciTvurceVysledku
n11:8003297 n11:3980553 n11:9585141
n3:druhVysledku
n20:J
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n18:predkladatel
n3:idSjednocenehoVysledku
91524
n3:idVysledku
RIV/62156489:43110/13:00203099
n3:jazykVysledku
n4:eng
n3:klicovaSlova
production functions; logistic regression; agribusiness; Z-score; DEA; financial distress
n3:klicoveSlovo
n10:financial%20distress n10:logistic%20regression n10:production%20functions n10:Z-score n10:DEA n10:agribusiness
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[8B9B39725443]
n3:nazevZdroje
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
n3:obor
n17:GA
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n14:GA13-25897S
n3:rokUplatneniVysledku
n15:2013
n3:svazekPeriodika
61
n3:tvurceVysledku
Vavřina, Jan Janová, Jitka Hampel, David
s:issn
1211-8516
s:numberOfPages
6
n8:doi
10.11118/actaun201361041177
n5:organizacniJednotka
43110