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Credit Risk Measurement in Manufacturing Industry Companies in the Czech Republic
Karas, Michal ; Dohnal, Mirko (referee) ; Hrvolová, Božena (referee) ; Myšková, Renáta (referee) ; Režňáková, Mária (advisor)
The purpose of this doctoral thesis is to create a new bankruptcy prediction model and also to design how to use this model for the purposes of credit risk measuring. The starting-point of this work is the analysis of traditional bankruptcy models. It was found out that the traditional bankruptcy model are not enough effective in the current economic conditions and it is necessary to create a new ones. Based on the identified deficiencies of the traditional models a set of two new model series was created. The first series of the created models is based on the use of parametric methods, and the second one is based on the use of newer nonparametric approach. Moreover, a set of factors which are able to identify an imminent bankruptcy was analyzed. It was found, that significant signs of imminent bankruptcy can be identified even five years before the bankruptcy occurs. Based on these findings a new model was created. This model incorporates variables of static and even dynamic character for bankruptcy prediction purposes. The overall classification accuracy of this model is 92.27% of correctly classified active companies and 95.65% of correctly classified bankrupt companies.
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Identification of Value Determinants of the Mechanical Engineering Enterprises in the Czech Republic
Strnadová, Michala ; Hrvolová, Božena (referee) ; Koráb, Vojtěch (referee) ; Živělová, Iva (referee) ; Režňáková, Mária (advisor)
This doctoral thesis is focused on value based management. The basic principle of value based management states that the main object in an organization is value enhancement. Within an organization the concept of value based management connects activities and people participating in business processes to maintain that the resources the owners put into the business are evaluated. The essential task of value based management is to find and identify factors which contribute increasing performance and creating the value of a company, known as value drivers. The purpose of this thesis is to identify the factors which by significant amount affect the value of the mechanical engineering enterprises in the Czech Republic. In the first part of the thesis an analysis of current academic knowledge in area of value drivers is made. The base of the analysis is created by foreign resources because there is only limited amount of information in domestic literature. Besides the determination of value approach and its benefits attention is mainly paid to organizing results from value generators area. Findings of secondary resources analysis are used for own research problem. The second part of the thesis includes determination of the main objects and the research problem as well as formulation of the research questions and tested hypotheses. The third part is focused on describing methods which were used in the thesis. In the thesis was applied logical (induction – deduction, analysis – synthesis, generalization – concretaization) and empirical methods (comparsion method, quantitative research methods). Primary data was collected by using a questionnaire. Obtained data was analyzed using logarithmic decomposition of the return on equity, Boosted Trees and descriptive statistics (for example measures of location, measures of variability) and more statistical methods for analysis of statistical hypothesis (Kolmogorov-Smirnov test, Lilliefors test for normality, F-test, Student’s t-test, Chi-squared test, Fisher’s exact test, Spearman’s rank correlation coefficient). In the fourth part of the thesis the branch of manufacturing industry is characterized and the identification of performance factors is accomplished applying logarithmic decomposition of the return on equity. The other subjects of research were companies in a branch called “Manufacturing of machines and devices”. The fifth part of the thesis includes summary of findings of the prime research and its discussion. Primary data was obtained by a questionnaire survey and completed with accounting information of respondents. The findings of the research show that main determinants affecting the value of engineering companies in the Czech Republic are return on assets, profit margin, consumption, sales profitability, personnel costs and value added. The qualitative value drivers are good reputation, human resources (employees) and its characteristics, business and flexibility, performance and productivity, assets, competency responsible staff, attentiveness to requirement of customers, innovation and quality.
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Synergies of Mergers Identification in Mechanical Engineering Companies
Pěta, Jan ; Hrvolová, Božena (referee) ; Sedláček, Jaroslav (referee) ; Živělová, Iva (referee) ; Režňáková, Mária (advisor)
The dissertation deals with different approaches to determining the value of synergies of companies implementing mergers in the mechanical engineering industry in the Czech Republic. This topic was chosen because of the high number of mergers, as well as the failure to achieve the effects planned. As a result, the consequence of such transactions is not the expected value growth for the owners. In the theoretical part of the thesis, mergers are defined from a legal point of view, and the historical development in the studied area is described. Based on the results of previous research, the systematization of the motives of mergers was carried out. The most common reason is the planned economic benefits in the form of cost savings or revenue growth. This part also describes the merger efficiency evaluation procedures used in previous research. Two approaches were identified, the first based on financial analysis indicators, and the second on discounted cash flow. The main objective of the dissertation is to propose adjustments to the procedure of valuation of companies implementing mergers in order to make it possible to identify the formation of synergy. Therefore, the data of companies operating in the mechanical engineering industry from 2004 to 2011 was used. As part of factor research, statistical tests of significance and dependence were used; the methods of classification and regression trees, as well as the linear regression model, were used to predict synergy. First, using the revenue indicators and operating profit, the transactions were divided into successful mergers and unsuccessful mergers. Based on this division, statistically significant differences in the financial analysis indicators were identified between companies implementing successful and unsuccessful transactions. Statistically significant differences were identified in the indicators of labour cost to revenues, depreciation to revenues and asset turnover ratio. All of the companies examined (target, bidder and newly created) were valued using the discounted capital cash flow method. Based on this valuation, factors that affect the value of the synergy achieved before implementation of the merger were identified. The indicators of return on assets, short-term financial assets to assets, cash flow to assets, and cash flow to interests were identified as statistically significant. These indicators were subsequently used to create prediction models. The first model predicts whether synergies will be achieved, and the second model predicts what the value of the synergies will be. The second model was subsequently incorporated into the pre-merger company valuation model
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Synergies of Mergers Identification in Mechanical Engineering Companies
Pěta, Jan ; Hrvolová, Božena (referee) ; Sedláček, Jaroslav (referee) ; Živělová, Iva (referee) ; Režňáková, Mária (advisor)
The dissertation deals with different approaches to determining the value of synergies of companies implementing mergers in the mechanical engineering industry in the Czech Republic. This topic was chosen because of the high number of mergers, as well as the failure to achieve the effects planned. As a result, the consequence of such transactions is not the expected value growth for the owners. In the theoretical part of the thesis, mergers are defined from a legal point of view, and the historical development in the studied area is described. Based on the results of previous research, the systematization of the motives of mergers was carried out. The most common reason is the planned economic benefits in the form of cost savings or revenue growth. This part also describes the merger efficiency evaluation procedures used in previous research. Two approaches were identified, the first based on financial analysis indicators, and the second on discounted cash flow. The main objective of the dissertation is to propose adjustments to the procedure of valuation of companies implementing mergers in order to make it possible to identify the formation of synergy. Therefore, the data of companies operating in the mechanical engineering industry from 2004 to 2011 was used. As part of factor research, statistical tests of significance and dependence were used; the methods of classification and regression trees, as well as the linear regression model, were used to predict synergy. First, using the revenue indicators and operating profit, the transactions were divided into successful mergers and unsuccessful mergers. Based on this division, statistically significant differences in the financial analysis indicators were identified between companies implementing successful and unsuccessful transactions. Statistically significant differences were identified in the indicators of labour cost to revenues, depreciation to revenues and asset turnover ratio. All of the companies examined (target, bidder and newly created) were valued using the discounted capital cash flow method. Based on this valuation, factors that affect the value of the synergy achieved before implementation of the merger were identified. The indicators of return on assets, short-term financial assets to assets, cash flow to assets, and cash flow to interests were identified as statistically significant. These indicators were subsequently used to create prediction models. The first model predicts whether synergies will be achieved, and the second model predicts what the value of the synergies will be. The second model was subsequently incorporated into the pre-merger company valuation model
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Identification of Value Determinants of the Mechanical Engineering Enterprises in the Czech Republic
Strnadová, Michala ; Hrvolová, Božena (referee) ; Koráb, Vojtěch (referee) ; Živělová, Iva (referee) ; Režňáková, Mária (advisor)
This doctoral thesis is focused on value based management. The basic principle of value based management states that the main object in an organization is value enhancement. Within an organization the concept of value based management connects activities and people participating in business processes to maintain that the resources the owners put into the business are evaluated. The essential task of value based management is to find and identify factors which contribute increasing performance and creating the value of a company, known as value drivers. The purpose of this thesis is to identify the factors which by significant amount affect the value of the mechanical engineering enterprises in the Czech Republic. In the first part of the thesis an analysis of current academic knowledge in area of value drivers is made. The base of the analysis is created by foreign resources because there is only limited amount of information in domestic literature. Besides the determination of value approach and its benefits attention is mainly paid to organizing results from value generators area. Findings of secondary resources analysis are used for own research problem. The second part of the thesis includes determination of the main objects and the research problem as well as formulation of the research questions and tested hypotheses. The third part is focused on describing methods which were used in the thesis. In the thesis was applied logical (induction – deduction, analysis – synthesis, generalization – concretaization) and empirical methods (comparsion method, quantitative research methods). Primary data was collected by using a questionnaire. Obtained data was analyzed using logarithmic decomposition of the return on equity, Boosted Trees and descriptive statistics (for example measures of location, measures of variability) and more statistical methods for analysis of statistical hypothesis (Kolmogorov-Smirnov test, Lilliefors test for normality, F-test, Student’s t-test, Chi-squared test, Fisher’s exact test, Spearman’s rank correlation coefficient). In the fourth part of the thesis the branch of manufacturing industry is characterized and the identification of performance factors is accomplished applying logarithmic decomposition of the return on equity. The other subjects of research were companies in a branch called “Manufacturing of machines and devices”. The fifth part of the thesis includes summary of findings of the prime research and its discussion. Primary data was obtained by a questionnaire survey and completed with accounting information of respondents. The findings of the research show that main determinants affecting the value of engineering companies in the Czech Republic are return on assets, profit margin, consumption, sales profitability, personnel costs and value added. The qualitative value drivers are good reputation, human resources (employees) and its characteristics, business and flexibility, performance and productivity, assets, competency responsible staff, attentiveness to requirement of customers, innovation and quality.
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The Specifics of Financial Management of Holdings Companies
Ficbauer, David ; Bartoš, Vojtěch (referee) ; Hrvolová, Božena (referee) ; Král, Bohumil (referee) ; Režňáková, Mária (advisor)
The main purpose of the thesis is to explore the specifics of the financial management of holdings companies in the Czech Republic with an emphasis on the area of financial management. However, the author assumes that persistent reasons for holding creation is using of synergy effects consisting mainly of centralized management of cash flows to minimize the cost of capital and minimizing the risk of an individual investor who actively makes managerial functions in view guarantees of individual companies. It was found the lack of a comprehensive and systematic approach for a qualitative research. A total of 15 holding companies was use for the qualitative research. The outcome gives many answers concerning the specifics of the financial management of the holdings companies. It seems guarantee, minimizing cost of capital and cash management are key points. The synergistic effect of the holding companies can be used when transferring financial means between companies holding. The impact of the transfer of available financial means was simulated for holding No. 13. It was clearly shown to decrease WACC at one of the companies within the holding. It was found that the subsidiaries, which effectively control the cash flow, maintain a low level of Cash Ratio and Net Working Capital. It was also found that the subsidiaries that manage cash flow effectively, achieve higher ROA. The same assumption was not found in the parent companies. The research question that subsidiaries, which effectively control the cash flow, use financing through bank loans to a lesser extent, was partially confirmed.
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Credit Risk Measurement in Manufacturing Industry Companies in the Czech Republic
Karas, Michal ; Dohnal, Mirko (referee) ; Hrvolová, Božena (referee) ; Myšková, Renáta (referee) ; Režňáková, Mária (advisor)
The purpose of this doctoral thesis is to create a new bankruptcy prediction model and also to design how to use this model for the purposes of credit risk measuring. The starting-point of this work is the analysis of traditional bankruptcy models. It was found out that the traditional bankruptcy model are not enough effective in the current economic conditions and it is necessary to create a new ones. Based on the identified deficiencies of the traditional models a set of two new model series was created. The first series of the created models is based on the use of parametric methods, and the second one is based on the use of newer nonparametric approach. Moreover, a set of factors which are able to identify an imminent bankruptcy was analyzed. It was found, that significant signs of imminent bankruptcy can be identified even five years before the bankruptcy occurs. Based on these findings a new model was created. This model incorporates variables of static and even dynamic character for bankruptcy prediction purposes. The overall classification accuracy of this model is 92.27% of correctly classified active companies and 95.65% of correctly classified bankrupt companies.
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The specifics of German conception of financial analysis and possibilities of their implementing into Czech methodology
Šmídová, Radana ; Grünwald, Rolf (advisor) ; Holečková, Jaroslava (referee) ; Hrvoľová, Božena (referee)
The theme of my dissertation is the specifics of German conception of financial analysis and possibilities of their implementing into Czech methodology. In Czech literature which deals with financial analysis we can encounter references to German sources very rarely. With regard to this I have chosen to explore German literature, to get inspired by German authors and to look for ideas which may help to contribute to common method of financial analysis in the Czech Republic. The assignment of my dissertation comes out from the hypothesis that methods of financial analysis used by German-writing authors incorporate elements that can be implemented in our practice. This dissertation therefore has the goal to develop the study of financial analysis specifics that are typical for German authors with the objective to suggest ideas to improve common methods of Czech external financial analysis. Based on the wide recherché I introduced in the dissertation a spectrum of methodological elements recorded at influential German-writing authors and in the end I suggested those elements that should be incorporated into our methodology. I suggested financial ratio system for analyzing short-term financial solvency that shows prospective ability of company to cover short-term non-interest debts, short-term interest debts and interest. The empirical study presented the advantages of financial ratio system of liquidity ratios based on ideas to be incorporated into methodology of financial analysis inspired by German literature. I managed to specify 16 ideas how to built up (in the Czech Republic) on specific methodology elements that are suggested by German authors. The suggestions of replenishment of common Czech methodology approaches mainly represent a benefit in more significant focusing of external financial analysis on prediction of financial situation in short term period.
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