This diploma thesis occupies with financial analysis of a firm. The aim of this thesis is to suggest some recommendation to change economy of the analyzed firm. The theoretical section of the thesis describes some methods of financial analysis, above all elementary methods. In the practical part, are used some choosen financial standing and bancrupcy models for evaluation of financial health of firm VAK, a.s.. The final part brings some recommendation for improvement of the economy of the analyzed firm

This diploma thesis occupies with financial analysis of a firm. The aim of this thesis is to suggest some recommendation to change economy of the analyzed firm. The theoretical section of the thesis describes some methods of financial analysis, above all elementary methods. In the practical part, these methods are used for the compilation of a financial analysis of firm Family brewery Bernard and to evaluation of the economy situation of the firm. The final part brings some recommendation for improvement of the economy of the analyzed firm.

This master’s thesis’ objective is to assess the economical situation of the specific company. There are used methods of financial and economical analysis to examination of a proposal in this thesis. The first part of the thesis comprises theoretical fundamentals of the financial and economical analysis. The next part represents application of financial and economical analysis methods to assess the economical situation of the specific company. Summary gathers the general economical situation of the specific company and proposals to its improvement.

This master’s thesis’ objective is to analyze the economical situation of the specific company LIPAN A EURO, a.s. There are used methods of financial and economical analysis to examination of a proposal in this thesis. The first part of the thesis comprises theoretical fundamentals of the financial and economical analysis. The next part represents application of financial and economical analysis methods to assess the economical situation of the specific company. Summary gathers the general economical situation of the specific company and proposals to its improvement.

This thesis deals with a financial restructuring of the construction company. On the concrete company it is shown how the financial restructuring can help to improve the financial health of this company and so its competitiveness, which is, considering the current situation on the construction market, absolutely crucial. Using the methods of financial analysis the current state of financial health and financial management is evaluated. Based on these results some corrective actions within the financial restructuring are proposed. The efficiency of these actions is in the end verified again using the financial analysis.

No description available.

The thesis is focused on the selected systems of indicators of bankruptcy models and credibility models, that are applied on the specific enterprise. On the basis of collected data from balance sheet and statement of profit and loss there is calculated the financial health during five year period and than the explanatory power of these systems of indicators is made, whether the used systems of indicaters have the same explanatory power of different.

The objective of this study investigated the successful prediction of business failure of JSE listed companies using financial ratio analysis. During the research, financial statement data of failed and non-failed JSE listed companies during 2007-2012 financial periods were analysed, compared and interpreted. The interpretation of the trends and comparisons is of a quantitative nature, together with a qualitative genre which examines the tables, figures and equations in order to get the entire picture of the company’s performance for a five year period. The combination of literature on various failure predictor models and experience of these models resulted in the development of a modified model. The conclusion from the study indicated that financial ratio analysis successfully predicts failure and non-failure of the 16 companies that were investigated. These companies were grouped into eight delisted (failed) and eight listed (non-failed) JSE companies, which were paired in accordance to industry, fiscal period and closest asset size. The adoption of the traditional ratio analysis methods and EMS model yielded some interesting findings. The traditional ratio analysis methods (trend and comparative ratio analysis) were used with the Emerging Market Score (EMS) Model. The outcomes indicated the traditional methods are viable company failure prediction tools and the EMS model points out companies at a score of 2.60 and above as being financially stable. Between 2.60 and 1.10 the results are not very dependable because it is known that the company is in distress, yet uncertain whether the company has financially failed and below 1.10 the company has failed. It was concluded that a combination of the various prediction models enhances the accuracy of failure prediction. Therefore further research is required to assist stakeholders of South African companies to predict business failure by developing an adjusted model in a South African context. / MCom (Accountancy)--North-West University, Vaal Triangle Campus, 2015

The objective of this study investigated the successful prediction of business failure of JSE listed companies using financial ratio analysis. During the research, financial statement data of failed and non-failed JSE listed companies during 2007-2012 financial periods were analysed, compared and interpreted. The interpretation of the trends and comparisons is of a quantitative nature, together with a qualitative genre which examines the tables, figures and equations in order to get the entire picture of the company’s performance for a five year period. The combination of literature on various failure predictor models and experience of these models resulted in the development of a modified model. The conclusion from the study indicated that financial ratio analysis successfully predicts failure and non-failure of the 16 companies that were investigated. These companies were grouped into eight delisted (failed) and eight listed (non-failed) JSE companies, which were paired in accordance to industry, fiscal period and closest asset size. The adoption of the traditional ratio analysis methods and EMS model yielded some interesting findings. The traditional ratio analysis methods (trend and comparative ratio analysis) were used with the Emerging Market Score (EMS) Model. The outcomes indicated the traditional methods are viable company failure prediction tools and the EMS model points out companies at a score of 2.60 and above as being financially stable. Between 2.60 and 1.10 the results are not very dependable because it is known that the company is in distress, yet uncertain whether the company has financially failed and below 1.10 the company has failed. It was concluded that a combination of the various prediction models enhances the accuracy of failure prediction. Therefore further research is required to assist stakeholders of South African companies to predict business failure by developing an adjusted model in a South African context. / MCom (Accountancy)--North-West University, Vaal Triangle Campus, 2015

The purpose of this study is to find the relationship between financial health in an ice hockey club and its sport success. The study answers the research question: How can financial health of Swedish ice hockey clubs be able to explain the sport success in the Swedish Hockey League? Based on the research question, the study uses the theory Benchmarking and a more specific benchmarking terminology called Financial benchmarking. The study selects eight financial variables in order to benchmark the icehockey clubs in the Swedish Hockey League (SHL). A particular methodology within financial benchmarking, called Grey Relational Analysis (GRA), is used in order to determine the financial health of the clubs in relation to each other and therefore be able to rank the clubs based on each individual variable. The same financial variables, with the addition of four non-financial variables and exclusion of two financial variables, are used in a selected Logistic Regression model to explain how the variables contribute to the sport success of the clubs. The main conclusions which can be drawn from the study are as follows: The variables Net sales and Net profit are the two only variables which are statistically significant and are able to contribute to sport success. Secondly, the club HV71 is overall the club with the most optimal financial health in SHL, among the 12 clubs investigated. Lastly, accounting trends within this industry affects the financial outcome and further how it explained sport success. Trends such as a minimal or no amount of long-term liabilities is common among the clubs, where instead the total amount of liabilities mainly consists of current liabilities. It can be further concluded that profitability, revenue and equity are financial corner stones in a hockey club which participates in SHL.