The main aim of the master thesis is to compare of different methodologies of financial health models and bankruptcy prediction models and their cause to company classification. The work deals with the applicability of models on the sample of 45 prosperous companies and 45 companies that were initiating in insolvency process. Sample contain about 33 % companies from building industry, 33 % retail, 16,7 % manufacturing industry and 16,7 % of the other industries mainly services. The special kind of contingency table - the confusion matrix - is used in the methodology to calculate sensitivity, specificity, negative predictive, false positive rate, accuracy, error and other classification statistics. Overall model accuracy is obtained as a difference between accuracy and error. Dependencies of models are acquired based on Pearson´s correlation coefficient. The changes (removing of grey zone and testing new cut-off points) in models are tested in the sensitivity analysis. In practise part there are about 12 financial models calculated (Altman Z´, Altman Z´´, Index IN99, IN01 and IN05, Kralicek Quicktest, Zmijewski model, Taffler model and its modification, Index Creditworthiness, Grunwald Site Index, Doucha´s Analysis). Only two financial indicators (ROA and Sales / Assets) in results were important as crucial part for more than one model. Then are classifications of companies in models determined. It shows that the best models according to overall accuracy are Zmijewski and Altman´s Z´´. On the other hand the worst models are index IN99 and both versions of Taffler´s model. The classification is not caused excessively by extreme values, year of the model creation or country of the origin (hypothesis 1). Based on results it is suggested that the bankruptcy prediction is an accurate forecaster of failure up to three years prior to bankruptcy in most examined models (hypothesis 2). It is observed that the type of model and industry influence the classification of models. In the end, the changes based on sensitivity analysis in the worst companies are made. All of three changes have increased overall classification accuracy of models.

Bakalauro baigiamajame darbe pritaikyti įvairūs bankroto prognozavimo modeliai bei apskaičiuoti dažniausiai naudojami mokumo ir pelningumo rodikliai, neįeinantys į modelius, tačiau turintys didelę įtaką bankroto prognozėms. / Various bankruptcy prediction models are adapted in this bachelor thesis. Generally used solvency and profitability rates, that are not part of models, but have an impact for bankrupt prediction, had been calculated.

This thesis deals with evaluating the financial situation of the company LIPOELASTIC a.s. through deployment of specific tools of financial analysis. The data necessary for financial analysis comes from financial statements of the company. Structure of the thesis is divided onto three parts. Theoretical part contains a set of crucial terms, methods and workflows which are important for designing the individual parts of financial analysis. These methods are practically applied in the practical part. Last part includes the proposals and measures for enhancing financial situation of the company.

Bankruptcies have been a sensitive topic all around the world for over 50 years. From their research, the authors have found that only a few bankruptcy studies have been conducted in Sweden and even less on the topic of bankruptcy prediction models. This thesis investigates the performance of the Altman, Ohlson and Zmijewski bankruptcy prediction models. This research investigates all Swedish companies during the years 2017 and 2018.  This study has the intention to shed light on some of the most famous bankruptcy prediction models. It is interesting to explore the predictive abilities and usability of those three models in Sweden. The second purpose of this study is to create two models from the most significant variable out of the three models studied and to test its prediction power with the aim to create two models designed for Swedish companies.  We identified a research gap in terms of Sweden, where bankruptcy prediction models have been rather unexplored and especially with those three models. Furthermore, we have identified a second research gap regarding the time period of the research. Only a few studies have been conducted on the topic of bankruptcy prediction models post the financial crisis of 2007/08.  We have conducted a quantitative study in order to achieve the purpose of the study. The data used was secondary data gathered from the Serrano database. This research followed an abductive approach with a positive paradigm. This research has studied all active Swedish companies between the years 2017 and 2018. Finally, this contributed to the current field of knowledge on the topic through the analysis of the results of the models on Swedish companies, using the liquidity theory, solvency and insolvency theory, the pecking order theory, the profitability theory, the cash flow theory, and the contagion effect. The results aligned with the liquidity theory, the solvency and insolvency theory and the profitability theory. Moreover, from this research we have found that the Altman model has the lowest performance out of the three models, followed by the Ohlson model that shows some mixed results depending on the statistical analysis. Lastly, the Zmijewski model has the best performance out of the three models. Regarding the performance and the prediction power of the two new models were significantly higher than the three models studied.

Bakgrund: Varje år går många företag i konkurs och detta innebär stora kostnader på kort sikt. Kreditgivare, ägare, investerare, borgenärer, företagsledning, anställda samt samhället är de som i störst utsträckning drabbas av detta. För att kunna bedöma ett företags ekonomiska hälsa är det därför en viktig del att kunna prognostisera risken för en konkurs. Till hjälp har vi olika konkursmodeller som har utvecklats sedan början av 1960-talet och fram till idag. Syfte: Att undersöka tre internationella konkursmodeller för att se om dessa kan tillämpas på svenska företag samt jämföra träffsäkerheten från vår studie med konkursmodellernas originalstudier. Metod: Undersökningen är baserad på en kvantitativ forskningsstrategi med en deduktiv ansats. Urvalet grundas på företag som gick i konkurs år 2014. Till detta kommer också en kontrollgrupp bestående av lika stor andel friska företag att undersökas. Det slumpmässiga urvalet kom att bestå av 30 konkursföretag samt 30 friska företag från tillverknings- och industribranschen. Teori: I denna studie undersöks tre konkursmodeller; Altman, Fulmer och Springate. Dessa modeller och tidigare forskning presenteras utförligare i teoriavsnittet. Dessutom beskrivs under teoriavsnittet några nyckeltal som är relevanta vid konkursprediktion. Resultat och slutsats: Modellerna är inte tillämpbara på svenska företag då resultaten från vår studie inte visar tillräcklig träffsäkerhet och är därför måste betecknas som otillförlitliga. / Background: Each year many companies go bankrupt and it is associated with significant costs in the short term. Creditors, owners, investors, management, employees and society are those that gets most affected by the bankruptcy. To be able to estimate a company’s financial health it is important to be able to predict the risk of a bankruptcy. To help, we have different bankruptcy prediction models that have been developed through time, since the 1960s until today, year 2015. Purpose: To examine three international bankruptcy prediction models to see if they are  applicable to Swedish business and also compare the accuracy from our study with each bankruptcy prediction models original study. Method: The study was based on a quantitative research strategy and also a deductive research approach. The selection was based on companies that went bankrupt in year 2014. Added to this is a control group consisting of healthy companies that will also be examined. Finally, the random sample consisted of 30 bankrupt companies and 30 healthy companies that belong to the manufacturing and industrial sectors. Theory: In this study three bankruptcy prediction models are examined; Altman, Fulmer and Springate. These models and also previous research in bankruptcy prediction are further described in the theory section. In addition some financial ratios that are relevant in bankruptcy prediction are also described. Result and conclusion: The models are not applicable in the Swedish companies.  The results of this study have not showed sufficient accuracy and they can therefore be regarded as unreliable.

Bakgrund och problemdiskussion: Idag är konkurser ett problem då många företag försätts i konkurs samt att de bidrar till konsekvenser som påverkar hela samhället. Byggföretag är hårt drabbade och det finns olika tillvägagångssätt, bland annat att genom olika modeller och nyckeltal, för att beräkna konkurser i förväg och ta åtgärder. Syfte: Syftet med studien är att jämföra och analysera fem olika konkursprognostiseringsmodeller och dess nyckeltal i de svenska byggföretagen, för att se om någon eller några modeller är tillämpbara. Syftet med studien är vidare att jämföra våra resultat med resultatet från den litauiska studien och se om vi får ett liknande resultat. Metod: Studien har använt ett kvantitativt tillvägagångssätt där data har samlats in från årsredovisningar för att sedan tillämpas i fem konkursprognostiseringsmodeller. Vidare har nyckeltalen granskats bland annat utifrån en regressionsanalys. Resultat och slutsats: Ingen av de fem modellerna är tillämpbara i de svenska byggföretagen då ingen av påvisar en tillräckligt hög träffsäkerhet som anses pålitlig. Med hjälp av nyckeltal kan man till hög grad säga hur väl ett företag mår och därför till viss sannolikhet säga huruvida företaget kommer gå i konkurs. / Background: When companies go bankrupt and they contribute to consequences that affect the entire society from different aspect. The construction sector is very affected line of business but there are different approaches for calculating bankruptcies in advance and measuring how well a business is. Purpose: The purpose of this study is to compare and analyze five different bankruptcy prediction models and their financial ratios in Swedish construction sector, to see if any or some models are applicable. Furthermore, the purpose of the study is also to compare our results with the results from the Lithuanian study and see if we get a similar result. Method: The study has used a quantitative approach where data has been collected from the companies’ annual financial reports and then applied in five bankruptcy prediction models. Results and conclusion: None of the five models are applicable in Swedish construction sector, as none of them shows high accuracy which is considered reliable.

The thesis deals with the recognition of the financial situation of „Hospodářské obchodní družstvo Jabloňov-Ruda“ in years 2012 – 2016. The first part of the thesis contains theoretic findings that are subsequently applied at the evaluation of the financial health of the analysed organization during the application of chosen methods of the strategic and financial analysis.On the basis of the total recognition of the financial situation of the agricultural co-operative, actions leading to improvements of an exist status are brought in.

The aim of this diploma thesis is assessment of competitiveness in construction company with help of tools and methods of financial analysis. In the first part are defined theoretical terms related to examined problem, while attention is focused on terms construction company, competitiveness and financial analysis. In practical part are applied methods of financial analysis which are used to assess efficiency of the company. Achieved results are compared with the most important competitors on the market and also with branch. To comparing was used benchmarking diagnostic system of Ministry of Industry and Trade of the Czech Republic. As an output of this thesis are recommended tools for continuous assessment of competitiveness.

The Master’s thesis focuses on the evaluation of financial situation in selected company during the years 2011 – 2015. The first part of the thesis contains theoretical framework which is subsequently applied in evaluating the financial health of the company using suitable methods of the strategic and financial analysis. The next part consists of proposals to company’s improvement based on the overall assessment of the financial situation of the company.

This study explores the financial performance measurement of South Africa's Top Companies. It aims to find a conclusion on the research problem, that is 'Do South Africa's Top Companies use the available arsenal to measure their financial performance?' Commerce and industry are the cornerstones of the economy of a country. This study purports to contribute to the ways and means of minimising the risk of business failures due to the resultant effects on the economy. The sample comprises of sixty companies. The sampling frame is the first hundred companies of the Financial Mail 200 Top Performers for 2004. The arsenal that is available to measure financial performance is researched in the financial literature. Mainly, this covers ratio analysis and interpretation, and the bankruptcy prediction models. To arrive at a conclusion on the research problem, a research instrument is developed from the host of financial ratios in the literature, including the bankruptcy prediction models. The research instrument comprises of popular ratios that are also found to be 'logical', as well as the ratios that make up the Z-Score bankruptcy prediction model. The instrument is called the Ratio Map and Z-Score and is applied to test the financial strengths/weaknesses of the Top Companies. In addition to the Ratio Map and Z-Score, the measures applied by the Top Companies as 'highlights' are analysed. This is done to determine the extent at which the measures unearth the strengths/weaknesses of the Top Companies. The conclusion drawn is that the Top Companies do not utilise the available arsenal to measure their financial performance. The supporting evidence is that the most frequently applied 'highlights' measures by the Top Companies cover only one area of the many financial fields of a company, that is, share performance. On the other hand, the analyses per Ratio Map and Z-Score have not revealed major material weaknesses in the financial position of the Top Companies. It is proposed that: ïf  More information be given in the notes to the financial statements to facilitate meaningful analysis; and ïf  A follow-up research study be done to assess the trends of the Top Companies. / Business Management / D.Comm. (Business Management)