This research project set out to determine whether there is a relationship between the observed leverage levels of South African companies, their profitability, earnings volatility and the probability of financial distress. The relevant body of knowledge against which to execute this research project is known as capital structure theory. Capital structure theory deals with the way in which firms finance themselves. It is concerned with the relationship between the structure of debt, equity and hybrid securities found on the right hand side of the firm’s balance sheet. It is believed that the 2007/8 global financial crisis offers researchers a unique opportunity to gain insight into how the observed leverage levels of firms and their earnings volatility interact to form their probability of financial distress. This area of research is of particular interest since it is commonly believed and frequently stated that South African firms are underleveraged and secondly because there is contrarian research beginning to be published indicating that firms with very little or no debt (commonly referred to as lazy balance sheets) are outperforming their more indebted peers and are being rewarded by investors for their prudence. Copyright / Dissertation (MBA)--University of Pretoria, 2010. / Gordon Institute of Business Science (GIBS) / unrestricted

This study develops a bankruptcy prediction model for South African companies listed on the Johannesburg Stock Exchange. The model is of considerable efficiency and the findings reported extend bankruptcy literature to developing countries. 64 financial ratios for 28 companies, grouped into failed and non-failed companies, were tested using multiple discriminant analysis after conducting normality tests. Three variables were found to be significant which are: Times Interest Earned, Cash to Debt and Working Capital to Turnover. The model correctly classified about 75% of failed and non-failed in the original and cross validation procedures. This study went on to conduct an external validation of the model superiority by introducing a sample of failed companies, which showed that the model predictive accuracy is more than chance. Despite the popularity of the topic among researchers this study highlighted the importance and relevance of the topic to corporate managers, policy makers and to investors especially in a developing market perspective, thereby contributing significantly towards understanding the factors that lead to corporate bankruptcy.

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no / This paper investigates the impact of corporate ownership and control on the outcome of financial distress. It is argued that the likelihood of financial distress resulting in insolvency depends on whether firms have controllers, the type of controllers and their cash flow ownership. Using a sample of 484 UK firms, 81 of which filed for insolvency, we show that financially distressed firms with controllers are more likely to be insolvent than widely held firms, where the probability of insolvency is greater when controllers are family or financial institutions. However, the probability of insolvency reduces significantly as the controllers’ cash flow ownership increases beyond 10%

本研究主要是選取在亞洲金融風暴期間，在台灣上市公司發生財務危機的30家公司，搭配30家同產業相近資產的正常公司，依發生財務危機的原因將其分類為四個樣本，分別為（1）本業不佳（2）過度投資（3）子公司護盤（4）經營層掏空資產；分析以分類樣本建立的財務危機預警模型，在正確區別力與成本的表現上是否較於未分類的財務危機預警模型來的好，實證結果顯示，以分類樣本建立的預警模型，其正確區別力較未分類預警模型來的高，而成本較未分類樣本來的低，因此，以分類樣本建構預警模型有其正面的意義，投資及融資機構可依分類樣本建構財務危機預警模型，以做為投資及融資的依據；同時，將各分類樣本分別做財務危機公司與正常公司的單變量Ｆ檢定，發現在各分類中Ｆ值皆為顯著的財務比率有四(1)現金流量允當比率、(2)業外收支率、(3)每股盈餘及(4)借款依存度。

Following no strict legal or institutional definition, restructurings relate to renegotiations of within the firm - as a nexus of contracts - combined agreements. This cumulative dissertation focuses on renegotiations that are triggered by financial distress and that are conducted with current or potential debt- and shareholders. In form of a literature review, the first manuscript systematizes the bargaining dynamics between existing capital providers and their influence on the choice for in- or out-of-court firm reorganizations in Germany and the United States. How the renegotiations of existing payment obligations are reflected in financial instruments accounting according to the IFRS and the capital structure of the distressed firm is further elaborated in a case-based instructional resource. The second part of the dissertation discusses restructurings through the acquisition of the distressed target. Specifically, the phenomenon of negative goodwill is studied that arises in business combinations with acquisition costs that are lower than the fair value of the targets’ net assets. For the exemplary case of Germany, manuscripts three and four examine the frequency, materiality and reasons for the by the IASB as anomalous acclaimed phenomenon together with investors’ reactions to such transactions.:I. Restructuring Under Distress, Essays on Corporate Finance and Financial Reporting: An Overview 1. Introduction 2. Overview and Findings References II. Capital Structure and the Choice Between In- and Out-of-Court Reorganization: A Literature Review 1. Introduction 2. Theoretical Background on Reorganization Choices 3. Methodology 4. Analysis 5. Research Implications and Discussion 6. Conclusion References III. The Hardest Cycle Climb at TCC: A Financial Instruments Case 1. Case Manuscript 2. Case Guidance 3. Case Solutions References IV. Frequency of and Reasons for Bargain Purchases: Evidence From Germany 1. Introduction 2. Conceptual Background 3. Empirical Evidence 4. Conclusion and Avenues for Future Research References V. Does Underpayment Pay the Acquirer? An Event Study on Bargain Purchases 1. Introduction 2. Conceptual Background 3. Prior Literature 4. Sample Selection 5. Methodology 6. Results 7. Conclusion References

Credit models are essential to control credit risk and accurately predicting bankruptcy and financial distress is even more necessary after the recent global financial crisis. Although accounting and financial information have been the main variables in corporate credit models for decades, academics continue searching for new attributes to model the probability of default. This thesis investigates the use of corporate efficiency and corporate governance measures in standard statistical credit models using cross-sectional and hazard models. Relative efficiency as calculated by Data Envelopment Analysis (DEA) can be used in prediction but most previous literature that has used such variables has failed to follow the assumptions of Variable Returns to Scale and sample homogeneity and hence the efficiency may not be correctly measured. This research has built industry specific models to successfully incorporate DEA efficiency scores for different industries and it is the first to decompose overall Technical Efficiency into Pure Technical Efficiency and Scale Efficiency in the context of modelling financial distress. It has been found that efficiency measures can improve the predictive accuracy and Scale Efficiency is a more important measure of efficiency than others. Furthermore, as no literature has attempted a panel analysis of DEA scores to predict distress, this research has extended the cross sectional analysis to a survival analysis by using Malmquist DEA and discrete hazard models. Results show that dynamic efficiency scores calculated with reference to the global efficiency frontier have the best discriminant power to classify distressed and non-distressed companies. Four groups of corporate governance measures, board composition, ownership structure, management compensation and director and manager characteristics, are incorporated in the hazard models to predict financial distress. It has been found that state control, institutional ownership, salaries to independent directors, the Chair’s age, the CEO’s education, the work location of independent directors and the concurrent position of the CEO have significant associations with the risk of financial distress. The best predictive accuracy is made from the model of governance measures, financial ratios and macroeconomic variables. Policy implications are advised to the regulatory commission.

We examine how access to bank credit affects trade credit in the supplier-customer relationships of U.S. public firms. For identification, we use exogenous liquidity shocks to supplier firms in the form of staggered changes to interstate bank branching laws. Using a variety of tests, we show that supplier firms with greater access to banking liquidity offer more trade credit to their customers. We also show that when bank branching restrictions are relaxed in the supplier's state, the supplier-customer relationship is more likely to survive. (C) 2015 Elsevier Inc. All rights reserved.

The thesis aim is to examine and evaluate the Metrostav a.s financial health during the years 2005 and 2009 even in the context of economic crisis. The thesis is divided into two main parts. The first one, theoretical - methodological part, describes the various methods of financial analysis, which are gradually being applied in the practical part. The content of the practical part is a brief description of the company and the construction sector, followed by the very core of financial analysis. At the end there are summarized learned knowledge of applied methods and interpreted results of financial analysis.

The work "Financial Analysis of companies undergoing bankruptcy later" deals with the issue of bankruptcy debtor. It analyzes the situation where the company gets into financial distress and financial analysis examines indicators that best represent the financial situation and the impending decline. It continous with bankruptcy and insolvency of the debtor, and these two parts solves from both a legal and from an accounting perspective. Both parts are supplemented by short illustrative examples, which should help clarify emerging issues. In the practical part a three companies were selected, which are currently in bankruptcy proceedings. In these were applied selected indicators from the first chapter and last part describes various bankruptcy proceedings.