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Description
| - Analysis of corporate economic performance and its sustainability is a multi-disciplinary science field area with various approaches and output user-groups. Especially there are specific needs for information content concerning this kind of analysis for each user group - namely stakeholders, investors, banks, policy makers and other related entities. The main objective of this contribution is to validate reliability of different types of corporate bankruptcy prediction models during the recent financial crisis being applied on Czech agricultural enterprises. The database Amadeus of Bureau van Dijk and the Czech Business Register are utilized as the primal sources of corporate financial statements. The initial idea of economic performance distress prediction model was introduced in late 1960s by Professor Edward I. Altman and is known as the Z-score model. This model is based on step-wise multiple discriminate analysis of economic indicators of failed and successful US companies and its revision in 1980s is well-accepted among business entities even nowadays. However, there are also criticisms of mentioned model, mainly due to model's base orientation to only narrow area of industrial branches and its static approach. Therefore, in this contribution authors are employing another approach specifically developed for identifying financial distress of agricultural enterprises. The approach is based on Gurčík's G-index and was introduced in 2002. G-index approach employs economic indicators' discriminate analysis as well, but in this case specifically for randomly chosen agricultural enterprises. As the reaction to current trends in identification of corporate financial distress analysis the introductory discussion of Data Envelopment Analysis (DEA) application to bankruptcy prediction is provided together with comparison to other popular techniques used so far. Emphasize is put on the data processing and evaluation of agricultural enterprises. Since --related to agric
- Analysis of corporate economic performance and its sustainability is a multi-disciplinary science field area with various approaches and output user-groups. Especially there are specific needs for information content concerning this kind of analysis for each user group - namely stakeholders, investors, banks, policy makers and other related entities. The main objective of this contribution is to validate reliability of different types of corporate bankruptcy prediction models during the recent financial crisis being applied on Czech agricultural enterprises. The database Amadeus of Bureau van Dijk and the Czech Business Register are utilized as the primal sources of corporate financial statements. The initial idea of economic performance distress prediction model was introduced in late 1960s by Professor Edward I. Altman and is known as the Z-score model. This model is based on step-wise multiple discriminate analysis of economic indicators of failed and successful US companies and its revision in 1980s is well-accepted among business entities even nowadays. However, there are also criticisms of mentioned model, mainly due to model's base orientation to only narrow area of industrial branches and its static approach. Therefore, in this contribution authors are employing another approach specifically developed for identifying financial distress of agricultural enterprises. The approach is based on Gurčík's G-index and was introduced in 2002. G-index approach employs economic indicators' discriminate analysis as well, but in this case specifically for randomly chosen agricultural enterprises. As the reaction to current trends in identification of corporate financial distress analysis the introductory discussion of Data Envelopment Analysis (DEA) application to bankruptcy prediction is provided together with comparison to other popular techniques used so far. Emphasize is put on the data processing and evaluation of agricultural enterprises. Since --related to agric (en)
- Analysis of corporate economic performance and its sustainability is a multi-disciplinary science field area with various approaches and output user-groups. Especially there are specific needs for information content concerning this kind of analysis for each user group - namely stakeholders, investors, banks, policy makers and other related entities. The main objective of this contribution is to validate reliability of different types of corporate bankruptcy prediction models during the recent financial crisis being applied on Czech agricultural enterprises. The database Amadeus of Bureau van Dijk and the Czech Business Register are utilized as the primal sources of corporate financial statements. The initial idea of economic performance distress prediction model was introduced in late 1960s by Professor Edward I. Altman and is known as the Z-score model. This model is based on step-wise multiple discriminate analysis of economic indicators of failed and successful US companies and its revision in 1980s is well-accepted among business entities even nowadays. However, there are also criticisms of mentioned model, mainly due to model's base orientation to only narrow area of industrial branches and its static approach. Therefore, in this contribution authors are employing another approach specifically developed for identifying financial distress of agricultural enterprises. The approach is based on Gurčík's G-index and was introduced in 2002. G-index approach employs economic indicators' discriminate analysis as well, but in this case specifically for randomly chosen agricultural enterprises. As the reaction to current trends in identification of corporate financial distress analysis the introductory discussion of Data Envelopment Analysis (DEA) application to bankruptcy prediction is provided together with comparison to other popular techniques used so far. Emphasize is put on the data processing and evaluation of agricultural enterprises. Since --related to agric (cs)
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Title
| - Validity of Corporate Bankruptcy Prediction Models within the Recent Financial Crisis Period with Focus on the Czech Agricultural Enterprises
- Validity of Corporate Bankruptcy Prediction Models within the Recent Financial Crisis Period with Focus on the Czech Agricultural Enterprises (en)
- Validity of Corporate Bankruptcy Prediction Models within the Recent Financial Crisis Period with Focus on the Czech Agricultural Enterprises (cs)
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skos:prefLabel
| - Validity of Corporate Bankruptcy Prediction Models within the Recent Financial Crisis Period with Focus on the Czech Agricultural Enterprises
- Validity of Corporate Bankruptcy Prediction Models within the Recent Financial Crisis Period with Focus on the Czech Agricultural Enterprises (en)
- Validity of Corporate Bankruptcy Prediction Models within the Recent Financial Crisis Period with Focus on the Czech Agricultural Enterprises (cs)
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skos:notation
| - RIV/62156489:43110/12:00192370!RIV13-MSM-43110___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/62156489:43110/12:00192370
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - Data Envelopment Analysis; agricultural enterprises; financial crisis; G-index; Z-score; prediction of corporate bankruptcy (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - Eurozone and its neighbors: the third year of crisis.
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...v/pocetStranKnihy
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http://linked.open...cetTvurcuVysledku
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Janová, Jitka
- Vavřina, Jan
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http://linked.open...n/vavai/riv/zamer
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number of pages
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http://purl.org/ne...btex#hasPublisher
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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