ORPP logo
Image from Google Jackets

Prediction of Financial Health of Business Entities in Transition Economies.

By: Contributor(s): Material type: TextTextPublisher: New York : Romanian Institute of Orthodox Theology and Spirituality, 2018Copyright date: ©2018Edition: 1st edDescription: 1 online resource (481 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781942585633
Subject(s): Genre/Form: Additional physical formats: Print version:: Prediction of Financial Health of Business Entities in Transition EconomiesDDC classification:
  • 338.8881724
LOC classification:
  • HD2932 .K554 2018
Online resources:
Contents:
Front Cover -- Title -- Copyright -- Contents -- Preface -- 1 Propedeutics and repetitorium of corporate financial health prediction -- 1.1 Detection of elemental causes and symptoms of corporate financial health deterioration -- 1.1.1 Causes of corporate financial health deterioration -- 1.1.2 Symptoms of corporate financial health deterioration -- 1.2 Methods of corporate financial health prediction -- 1.2.1 Statistical Models -- 1.2.2 Mathematical Programming -- 1.2.3 Artificial Intelligence -- 1.2.4 Credit risk theories -- 1.2.5 Alternative theoretical models -- 2 Legislative aspects of bankruptcy resolution -- 2.1 Definition of bankruptcy -- 2.2 Historical excursion to insolvency law issues -- 2.3 Settlement of bankruptcy in foreign legal orders -- 2.3.1 The Czech Republic -- 2.3.2 Hungary -- 2.3.3 Germany -- 2.3.4 Poland -- 2.3.5 Austria -- 2.3.6 Singapore -- 2.3.7 Ukraine -- 2.3.8 USA -- 2.4 Bankruptcy resolution in Slovak legislation -- 2.5 European and international bankruptcy law -- 2.5.1 Adjustment of cross-border bankruptcies in the Slovak legal order -- 3 Mathematical and statistical handbook -- 3.1 Multiple discriminant analysis -- 3.1.1 Assumptions for the use of discriminant analysis -- 3.1.2 Canonical discriminant analysis -- 3.1.3 Prediction function of discriminant analysis -- 3.1.4 Advantages and disadvantages of discriminant analysis -- 3.2 Logistic regression -- 3.2.1 Assumptions for the use of logistic regression -- 3.2.2 The principle of logistic regression -- 3.2.3 Testing of the statistical significance of logistic regression -- 3.2.4 Assessing the quality of the logistic regression model -- 3.2.5 Interpretation of the parameters of the logistic regression model -- 3.2.6 Assessing the classification capability of the logistic regression model -- 3.2.7 Advantages and disadvantages of logistic regression.
3.3 Decision tree methods -- 3.3.1 The principle of decision trees -- 3.1.1. Generating a decision tree -- 3.3.2 Splitting criterion -- 3.3.3 Advantages and disadvantages of the decision tree method -- 3.3.4 Algorithms generating decision trees -- 4 Variables, parameters, fundaments and causalities of prediction models -- 5 Discriminant analysis-based prediction models -- 5.1 Prediction model for small enterprises -- 5.1.1 Prediction model for small enterprises by NACE classification -- 5.1.2 Prediction model for small enterprises by regions -- 5.2 Prediction model for medium-sized enterprises -- 5.2.1 Prediction model for medium-sized enterprises by NACE classification -- 5.2.2 Prediction model for medium-sized enterprises by regions -- 5.3 Prediction model for large enterprises -- 5.3.1 Prediction model for large enterprises by NACE classification -- 5.3.2 Prediction model for large enterprises by regions -- 5.4 Prediction model in conditions of Slovakia -- 5.5 Prediction model in conditions of transition economies -- 5.6 Summary - prediction of the financial health of the Slovak enterprises using MDA -- 6 Prediction models based on logistic regression -- 6.1 Prediction model for small enterprises -- 6.1.1 Prediction model for small enterprises by NACE classification -- 6.1.2 Prediction model for small enterprises by regions -- 6.2 Prediction model for medium-sized enterprises -- 6.2.1 Prediction model for medium-sized enterprises by NACE classification -- 6.2.2 Prediction model for medium-sized enterprises by regions -- 6.3 Prediction model for large enterprises -- 6.3.1 Prediction model for large enterprises by NACE classification -- 6.3.2 Prediction model for large enterprises by regions -- 6.4 Prediction model in conditions of Slovakia -- 6.5 Prediction model in conditions of transition economies.
6.6 Summary - prediction models based on logistic regression -- 7 Models of transition economies -- 7.1 Czech Republic -- 7.1.1 Altman's model for Czech enterprises -- 7.1.2 Index IN95 - creditor's model -- 7.1.3 Index IN99 - owner's model -- 7.1.4 Index IN01 - mixed owner-creditor's model -- 7.1.5 Index IN05 -- 7.1.6 Model BAMF 2002 -- 7.1.7 Model BAMF 2007 -- 7.1.8 Model KAMF (municipal enterprise realizes only main operation) -- 7.1.9 Model KAMF* (municipal enterprise realizes also extraordinary operation) -- 7.1.10 Index of the Czech national bank -- 7.1.11 Aspect Global Rating -- 7.1.12 Grünwald model -- 7.1.13 Jakubik-Teply model -- 7.1.14 Vavrina-Hampel-Janova model -- 7.1.15 Karas-Reznakova model -- 7.2 Slovak republic -- 7.2.1 CH-index -- 7.2.2 G-index -- 7.2.3 Model of Hurtosova -- 7.2.4 Rohacova-Kral model -- 7.2.5 Model of Gulka -- 7.2.6 Model of Binkert -- 7.2.7 M-model -- 7.2.8 Model of Delina-Packova -- 7.2.9 Boda-Uradnicek model 2009 -- 7.2.10 Boda-Uradnicek model 2010 -- 7.2.11 Boda-Uradnicek model 2011 -- 7.2.12 Boda-Uradnicek model 2012 -- 7.3 Poland -- 7.3.1 Gajdki-Stosa model I -- 7.3.2 Gajdki-Stosa model II -- 7.3.3 Gajdki-Stosa model III -- 7.3.4 Hadasik model I -- 7.3.5 Hadasik model II -- 7.3.6 Hadasik model III -- 7.3.7 Hadasik model IV -- 7.3.8 Hadasik model V -- 7.3.9 Poznanski model -- 7.3.10 Holdy model -- 7.3.11 Juszczyka model -- 7.3.12 Maczynska model -- 7.3.13 Models INE PAN -- 7.3.14 Pogodzinska-Sojak model -- 7.3.15 Sojak-Stawicki model -- 7.3.16 Prusak model I -- 7.3.17 Prusak model II -- 7.3.18 Prusak model III -- 7.3.19 Prusak model IV -- 7.3.20 Stepnia and Straka model -- 7.3.21 Wierzby model -- 7.3.22 Wrzosek and Ziemba model -- 7.4 Croatia -- 7.4.1 Novak and Crnkovic model I -- 7.4.2 Novak and Crnkovic model II -- 7.4.3 Novak and Crnkovic model III -- 7.4.4 Model FP RATING.
7.4.5 Pervan-Pervan-Vukoja model -- 7.4.6 Zenzerovic model -- 7.4.7 Sajter model I -- 7.4.8 Sajter model II -- 7.5 Hungary -- 7.5.1 Virag-Hajdu model I -- 7.5.2 Virag-Hajdu model II -- 7.5.3 Virag-Hajdu model III -- 7.5.4 Virag-Hajdu model IV -- 7.5.5 Virag-Kristof model -- 7.6 Latvia -- 7.6.1 Sorins-Voronova model I -- 7.6.2 Sorins-Voronova model II -- 7.7 Estonia -- 7.7.1 T model -- 7.7.2 P model -- 7.7.3 E model -- 7.8 Lithuania -- 7.8.1 Grigaravicius model -- 7.8.2 Purvinis-Sukys-Virbickaite model -- 7.9 Russia -- 7.9.1 Fedotova model -- 7.9.2 Sayfullin-Kadykov model -- 7.9.3 Methodology of Irkutsk State Economy Academy (Davydova-Belikov model) -- 7.9.4 Lugovskaya model I -- 7.9.5 Lugovskaya model II -- 7.9.6 Lin model LOGIT -- 7.9.7 Lin model ANN -- 7.9.8 Makeeva-Neretina model I -- 7.9.9 Makeeva-Neretina model II -- 7.9.10 Makeeva-Neretina model III -- 7.10 Romania -- 7.10.1 Ivoniciu model -- 7.10.2 Andreica-Andreica-Andreica model I -- 7.10.3 Andreica-Andreica-Andreica model II -- 7.10.4 Andreica-Andreica-Andreica model III -- 7.10.5 Anghel model -- 7.10.6 Barbuta-Misu model -- 7.10.7 Stroe-Barbuta-Misu model (modification of Conan-Holder model) -- 7.10.8 Grama-Pavaloaia model -- 7.11 Belarus -- 7.11.1 Belarus model -- 7.12 Ukraine -- 7.12.1 Martinenko model -- 7.12.2 Terescenko model I -- 7.12.3 Terescenko model II -- 7.12.4 Model for small enterprises -- Bibliography -- Annex A -- Annex B -- Annex C -- Annex D -- Back Cover.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Front Cover -- Title -- Copyright -- Contents -- Preface -- 1 Propedeutics and repetitorium of corporate financial health prediction -- 1.1 Detection of elemental causes and symptoms of corporate financial health deterioration -- 1.1.1 Causes of corporate financial health deterioration -- 1.1.2 Symptoms of corporate financial health deterioration -- 1.2 Methods of corporate financial health prediction -- 1.2.1 Statistical Models -- 1.2.2 Mathematical Programming -- 1.2.3 Artificial Intelligence -- 1.2.4 Credit risk theories -- 1.2.5 Alternative theoretical models -- 2 Legislative aspects of bankruptcy resolution -- 2.1 Definition of bankruptcy -- 2.2 Historical excursion to insolvency law issues -- 2.3 Settlement of bankruptcy in foreign legal orders -- 2.3.1 The Czech Republic -- 2.3.2 Hungary -- 2.3.3 Germany -- 2.3.4 Poland -- 2.3.5 Austria -- 2.3.6 Singapore -- 2.3.7 Ukraine -- 2.3.8 USA -- 2.4 Bankruptcy resolution in Slovak legislation -- 2.5 European and international bankruptcy law -- 2.5.1 Adjustment of cross-border bankruptcies in the Slovak legal order -- 3 Mathematical and statistical handbook -- 3.1 Multiple discriminant analysis -- 3.1.1 Assumptions for the use of discriminant analysis -- 3.1.2 Canonical discriminant analysis -- 3.1.3 Prediction function of discriminant analysis -- 3.1.4 Advantages and disadvantages of discriminant analysis -- 3.2 Logistic regression -- 3.2.1 Assumptions for the use of logistic regression -- 3.2.2 The principle of logistic regression -- 3.2.3 Testing of the statistical significance of logistic regression -- 3.2.4 Assessing the quality of the logistic regression model -- 3.2.5 Interpretation of the parameters of the logistic regression model -- 3.2.6 Assessing the classification capability of the logistic regression model -- 3.2.7 Advantages and disadvantages of logistic regression.

3.3 Decision tree methods -- 3.3.1 The principle of decision trees -- 3.1.1. Generating a decision tree -- 3.3.2 Splitting criterion -- 3.3.3 Advantages and disadvantages of the decision tree method -- 3.3.4 Algorithms generating decision trees -- 4 Variables, parameters, fundaments and causalities of prediction models -- 5 Discriminant analysis-based prediction models -- 5.1 Prediction model for small enterprises -- 5.1.1 Prediction model for small enterprises by NACE classification -- 5.1.2 Prediction model for small enterprises by regions -- 5.2 Prediction model for medium-sized enterprises -- 5.2.1 Prediction model for medium-sized enterprises by NACE classification -- 5.2.2 Prediction model for medium-sized enterprises by regions -- 5.3 Prediction model for large enterprises -- 5.3.1 Prediction model for large enterprises by NACE classification -- 5.3.2 Prediction model for large enterprises by regions -- 5.4 Prediction model in conditions of Slovakia -- 5.5 Prediction model in conditions of transition economies -- 5.6 Summary - prediction of the financial health of the Slovak enterprises using MDA -- 6 Prediction models based on logistic regression -- 6.1 Prediction model for small enterprises -- 6.1.1 Prediction model for small enterprises by NACE classification -- 6.1.2 Prediction model for small enterprises by regions -- 6.2 Prediction model for medium-sized enterprises -- 6.2.1 Prediction model for medium-sized enterprises by NACE classification -- 6.2.2 Prediction model for medium-sized enterprises by regions -- 6.3 Prediction model for large enterprises -- 6.3.1 Prediction model for large enterprises by NACE classification -- 6.3.2 Prediction model for large enterprises by regions -- 6.4 Prediction model in conditions of Slovakia -- 6.5 Prediction model in conditions of transition economies.

6.6 Summary - prediction models based on logistic regression -- 7 Models of transition economies -- 7.1 Czech Republic -- 7.1.1 Altman's model for Czech enterprises -- 7.1.2 Index IN95 - creditor's model -- 7.1.3 Index IN99 - owner's model -- 7.1.4 Index IN01 - mixed owner-creditor's model -- 7.1.5 Index IN05 -- 7.1.6 Model BAMF 2002 -- 7.1.7 Model BAMF 2007 -- 7.1.8 Model KAMF (municipal enterprise realizes only main operation) -- 7.1.9 Model KAMF* (municipal enterprise realizes also extraordinary operation) -- 7.1.10 Index of the Czech national bank -- 7.1.11 Aspect Global Rating -- 7.1.12 Grünwald model -- 7.1.13 Jakubik-Teply model -- 7.1.14 Vavrina-Hampel-Janova model -- 7.1.15 Karas-Reznakova model -- 7.2 Slovak republic -- 7.2.1 CH-index -- 7.2.2 G-index -- 7.2.3 Model of Hurtosova -- 7.2.4 Rohacova-Kral model -- 7.2.5 Model of Gulka -- 7.2.6 Model of Binkert -- 7.2.7 M-model -- 7.2.8 Model of Delina-Packova -- 7.2.9 Boda-Uradnicek model 2009 -- 7.2.10 Boda-Uradnicek model 2010 -- 7.2.11 Boda-Uradnicek model 2011 -- 7.2.12 Boda-Uradnicek model 2012 -- 7.3 Poland -- 7.3.1 Gajdki-Stosa model I -- 7.3.2 Gajdki-Stosa model II -- 7.3.3 Gajdki-Stosa model III -- 7.3.4 Hadasik model I -- 7.3.5 Hadasik model II -- 7.3.6 Hadasik model III -- 7.3.7 Hadasik model IV -- 7.3.8 Hadasik model V -- 7.3.9 Poznanski model -- 7.3.10 Holdy model -- 7.3.11 Juszczyka model -- 7.3.12 Maczynska model -- 7.3.13 Models INE PAN -- 7.3.14 Pogodzinska-Sojak model -- 7.3.15 Sojak-Stawicki model -- 7.3.16 Prusak model I -- 7.3.17 Prusak model II -- 7.3.18 Prusak model III -- 7.3.19 Prusak model IV -- 7.3.20 Stepnia and Straka model -- 7.3.21 Wierzby model -- 7.3.22 Wrzosek and Ziemba model -- 7.4 Croatia -- 7.4.1 Novak and Crnkovic model I -- 7.4.2 Novak and Crnkovic model II -- 7.4.3 Novak and Crnkovic model III -- 7.4.4 Model FP RATING.

7.4.5 Pervan-Pervan-Vukoja model -- 7.4.6 Zenzerovic model -- 7.4.7 Sajter model I -- 7.4.8 Sajter model II -- 7.5 Hungary -- 7.5.1 Virag-Hajdu model I -- 7.5.2 Virag-Hajdu model II -- 7.5.3 Virag-Hajdu model III -- 7.5.4 Virag-Hajdu model IV -- 7.5.5 Virag-Kristof model -- 7.6 Latvia -- 7.6.1 Sorins-Voronova model I -- 7.6.2 Sorins-Voronova model II -- 7.7 Estonia -- 7.7.1 T model -- 7.7.2 P model -- 7.7.3 E model -- 7.8 Lithuania -- 7.8.1 Grigaravicius model -- 7.8.2 Purvinis-Sukys-Virbickaite model -- 7.9 Russia -- 7.9.1 Fedotova model -- 7.9.2 Sayfullin-Kadykov model -- 7.9.3 Methodology of Irkutsk State Economy Academy (Davydova-Belikov model) -- 7.9.4 Lugovskaya model I -- 7.9.5 Lugovskaya model II -- 7.9.6 Lin model LOGIT -- 7.9.7 Lin model ANN -- 7.9.8 Makeeva-Neretina model I -- 7.9.9 Makeeva-Neretina model II -- 7.9.10 Makeeva-Neretina model III -- 7.10 Romania -- 7.10.1 Ivoniciu model -- 7.10.2 Andreica-Andreica-Andreica model I -- 7.10.3 Andreica-Andreica-Andreica model II -- 7.10.4 Andreica-Andreica-Andreica model III -- 7.10.5 Anghel model -- 7.10.6 Barbuta-Misu model -- 7.10.7 Stroe-Barbuta-Misu model (modification of Conan-Holder model) -- 7.10.8 Grama-Pavaloaia model -- 7.11 Belarus -- 7.11.1 Belarus model -- 7.12 Ukraine -- 7.12.1 Martinenko model -- 7.12.2 Terescenko model I -- 7.12.3 Terescenko model II -- 7.12.4 Model for small enterprises -- Bibliography -- Annex A -- Annex B -- Annex C -- Annex D -- Back Cover.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

There are no comments on this title.

to post a comment.

© 2024 Resource Centre. All rights reserved.