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

台灣上市公司不預警地宣布重整，跳票、全額交割或下市，造成投資大眾的損失，因此，必須建立企業信用模型來偵測其經營狀況。本研究發現財務比率自企業危機前五年起逐漸惡化，表示財務比率在危機發生前有惡化現象，另外危機發生後幾年財務比率仍有影響，故本研究視企業危機為一逐年遞增或遞減的變數，使用模糊數轉化，加入危機發生前後的總體變數，並且結合統計多變量分析和資料探勘中的乏析理論建立模型，使用窮舉法找出解釋力最佳之企業信用模型，結果顯示，採用模糊數轉化之應變數相當顯著。 / The listed companies in Taiwan suddenly announced restructuring, bankruptcy or out of stock, and their investors lost a lot. Therefore, we must set up the enterprise credit model to detect and examine their management states. We discover that the financial ratios decrease gradually since the past five years of enterprise's crisis. Besides, financial ratios still diminish after the crisis take place. Therefore, this research regards enterprise's crisis as one parameter, and we transform the parameter by fuzzy numbers. In addition, we use the macro economical parameters and combine multivariate analysis and fuzzy logic theory to find out a higher significant model. The result shows it is high significant to adopt the fuzzy number dependent variable.

Companies throughout the world use different methods for reporting their financial information to capital market investors and regulators. These different methods have caused financial reporting of statements to become less transparent, has increased adjustment errors and forecasting errors, and has reduced investor confidence. As a result, the International Accounting Standards Board created International Financial Reporting Standards (IFRS) to establish a global standard. Currently, 140 jurisdictions worldwide have implemented IFRS. The purpose of this study was to examine the effectiveness of IFRS on 248 Canadian companies and to analyze whether the 2011 implementation of IFRS affected corporate stock prices, key financial measurements of companies, and industry sectors. Arrow's social choice theory and general equilibrium analysis provided the theoretical framework for this quantitative investigation. Two 1-year time periods, 2009-2010 (the year before IFRS was implemented) and 2011-2012 (the year after IFRS was implemented), were analyzed using secondary data. A multiple regression model was used to examine the impact of IFRS implementation on price-to-earnings ratio, price-to-sales ratio, and price-to-cash flow ratio of the 248 Canadian companies. Findings indicate that IFRS led to an overall improvement in financial reporting by Canadian companies, which suggests IFRS's effectiveness. Mandating IFRS worldwide may facilitate comparisons of corporate financial information, reduce costs, reduce investor fatigue, improve adjustment errors and forecasting errors, and provide capital market participants the confidence to make valued investment decisions, leading to positive social change.

<p>Corporate failures pose a problem for banks, investors, customers, employees andinsurers. With a multivariate discrimination method, the study aims to find the specificfinancial ratios that most accurate reveals a company's financial health, which is ofinterest to all of the above parties. The data consist of 1042 Swedish small enterprisesand 30 different financial ratios between the years 2005‐2007. The result shows thatbankrupt firms three years before bankruptcy have a disadvantaged capital structurewith poor solvency and high debt. The year before bankruptcy, profitability and liquiditydeclined for bankruptcy group, and rates vary considerably in comparison with thesurviving companies. Our model can correctly classify 91,2 % of the total sample one yearbefore bankruptcy.</p> / <p>Företagskonkurser är dyrt för samhället och utgör ett problem för bland annat banker,investerare, kunder, anställda, försäkringsbolag och leverantörer. Studien syftar till attfinna de specifika nyckeltal vilka avslöjar ett företags finansiella hälsa, vilket är av intresseför alla ovanstående parter. Med en kvantitativ multivariat analysmetod har 30 olikanyckeltal från sammanlagt 1042 svenska mindre aktiebolag mellan åren 2005 och 2007studerats.Resultatet visar att konkursföretagen tre år innan konkurs har en missgynnandekapitalstruktur med svag soliditet och hög skuldsättning. Året innan konkurs harlönsamheten och likviditeten minskat för konkursgruppen och talen uppvisar storaskillnader i jämförelse med de överlevande företagen. Modellen klassificerar 91,2 % avföretagen korrekt ett år innan konkurs.</p>

Corporate failures pose a problem for banks, investors, customers, employees andinsurers. With a multivariate discrimination method, the study aims to find the specificfinancial ratios that most accurate reveals a company's financial health, which is ofinterest to all of the above parties. The data consist of 1042 Swedish small enterprisesand 30 different financial ratios between the years 2005‐2007. The result shows thatbankrupt firms three years before bankruptcy have a disadvantaged capital structurewith poor solvency and high debt. The year before bankruptcy, profitability and liquiditydeclined for bankruptcy group, and rates vary considerably in comparison with thesurviving companies. Our model can correctly classify 91,2 % of the total sample one yearbefore bankruptcy. / Företagskonkurser är dyrt för samhället och utgör ett problem för bland annat banker,investerare, kunder, anställda, försäkringsbolag och leverantörer. Studien syftar till attfinna de specifika nyckeltal vilka avslöjar ett företags finansiella hälsa, vilket är av intresseför alla ovanstående parter. Med en kvantitativ multivariat analysmetod har 30 olikanyckeltal från sammanlagt 1042 svenska mindre aktiebolag mellan åren 2005 och 2007studerats.Resultatet visar att konkursföretagen tre år innan konkurs har en missgynnandekapitalstruktur med svag soliditet och hög skuldsättning. Året innan konkurs harlönsamheten och likviditeten minskat för konkursgruppen och talen uppvisar storaskillnader i jämförelse med de överlevande företagen. Modellen klassificerar 91,2 % avföretagen korrekt ett år innan konkurs.

Prior research on the ability of financial ratios to predict bankruptcies has shown a significant difference between the companies that went into bankruptcy and those that survived. This paper investigates whether there is a difference in the prediction ability of financial ratios during the last financial crisis compared to relatively normal macroeconomic environments in which most previous studies have been conducted. We use univariate analysis to compare companies that went into bankruptcy during 2010 and 2011 with companies that remained active. Our dataset consists of 51 failed companies that are matched with 102 companies that remained active. All companies were Swedish limited companies with more than 50 employees and the comparison is made with 26 financial ratios. Our result indicates that financial ratios were better tools to predict bankruptcy during the crisis than during more stable macroeconomic conditions. In total 24 of the analyzed financial ratios differed significantly between the two populations and many of them showed significance earlier prior to the bankruptcy than in comparable studies.

Purpose: To investigate if Altman´s Z´-score model, which calculates financial distress, can be applied on companies established in Sweden and if the financial crisis in 2008 made previously healthy companies go bankrupt. Methodology: Quantitative studies with a positivistic foundation. Empirical data will be collected in order to examine if there is generalizability among the studied objects. Conclusions will be made by comparing the empirical data with the theoretical foundation. Financial distress in firms will be measured. Theoretical perspectives: Altman´s Z´-score model, designed to predict financial distress in private firms. Empirical foundation: A selection of 93 private firms that have gone bankrupt in the years 2008, 2009 or 2010. The firms selected all have a turnover that exceeds 20 million SEK. The years examined will be 2005 to 2009. Conclusion: As this study is carried out, the conclusion is that Altman´s Z´-score model cannot be applied on companies established in Sweden.

The thesis is focused on the evaluation of the financial performance of the company GEFOS, Inc. The aim is to evaluate the financial performance and impact of the original recommendations, which the company has applied, from the previous bachelor thesis. Based on the findings, a successive financial development will be assessed together with further possible measures for economic growth of the company. The first part contains theoretical knowledge of the apparatus of a financial analysis and selected methods and analysis of macro environment. In the second part, which is based on the stated goal, the gained expertise is used in practice. The work also contains, based on the results of the analysis, a sectoral comparison that helps to illustrate the overall financial situation of the selected company.

The aim of this graduation thesis is to perform comparison of EMPO HOLZ, s. r. o. with selected competitors and industry averages values for the years 2012, 2013 and 2014. Further, this paper aims is to evaluate the financial situation of these compared establishments. Financial health is assessed by the application of financial ratios and the subsequent interpretation of the results. The comparison has been conducted by using unidimensional and multidimensional methods of the intercompany comparison. Spider analysis demonstrates the comparison with average values of industry. Output of this graduation thesis is the position of EMPO HOLZ, s. r. o. in the analysed group. Position in the group is based on the results of the particular methods of intercompany comparison.