The Master thesis provides a comparison of the solution of the bankruptcy in the Czech Republic and in Slovakia. The Insolvency Act and the Act of bankruptcy and restructuralization represent the current legal acts governing the relationship between the creditor, the debtor and the other interested persons. The aim of the thesis is to analyze the insolvency environment and ways of the solution of the bankruptcy in both states (to identify disadvantages and advantages of the particular cases). Furthermore, it aims to analyze the key and critical factors influencing the whole recovery process in the company on the practical examples.

This paper is about sensemaking. By using sensemaking we have derived bankruptcy factors from business leaders’ own statements about their bankruptcies. The focus in this paper is to ensure how business leaders create meaning about the bankruptcies, which is also our research question. To make the study feasible, we used a method that corresponds well to the purpose of our work. The collection of data started with collecting a number of newspaper articles with direct quotes from business leaders. These quotes were, through a model that structures and categorizes empirical datum, aggregated into bankruptcy factors. The factors were then explained with regards to the business leaders’ statements. The factors are also compared with previous studies of bankruptcy factors. Those studies use different approaches then ours, in deriving and explaining their bankruptcies. With regards to that, we found it interesting to analyze similarities and differences in results. The study has shown five bankruptcy factors. These are customer losses, financing, external circumstances, profitability and planning. They are described by a number of underlying causes. The factors we found have shown both similarities and differences with regards to the previous studies.

Since the 1980s, household debt has been increasing rapidly. The high level of household indebtedness has been accompanied by a high household bankruptcy rate. My research attempts to provide a better understanding of the theoretical mechanisms behind these credit market and bankruptcy statistics. One of the purposes of Chapter 7 bankruptcy law is to improve debtors' work incentives by giving them a ``fresh start''. Chapter 13 bankruptcy, on the other hand, prescribes a repayment plan that garnishes future wages from debtors to repay creditors, which acts like a wage tax in standard models. In the first chapter, I ask the question ``How much does a fresh start increase labor supply by improving work incentives?'' Because the bankruptcy decision is endogenous, Chapter 7 filers tend to have less earnings and more debt than average individuals. Estimation of the change in labor supply as a consequence of the bankruptcy treatment must therefore take into account selection effects which is complicated by the interdependence of labor and credit market decisions. To answer my question quantitatively, I construct a dynamic partial equilibrium job search model with both bankruptcy choices which allows direct assessment of counterfactual outcomes. Competitive financial intermediaries offer a menu of loan sizes and interest rates that make zero profits. The model predicts that in the short run, a fresh start on average increases the labor supply of Chapter 7 bankruptcy filers by 3.5% over repayment and 3.4% over Chapter 13 bankruptcy. the Fair Credit Reporting Act (FCRA) dictates that adverse events such as a Chapter 7 bankruptcy must be removed from an individual's credit record after ten years. The intent of the law is to provide partial consumption insurance by giving an individual a fresh start. However, the law obviously weakens incentives not to default, which can result in higher interest rates that in turn reduce intertemporal insurance. Because of this tradeoff, it is unclear what is the optimal length of time that an adverse event should be on an individual's credit record. In the second chapter, I assess the welfare consequences of varying the length of time that adverse events can be on one's credit record. We calibrate the model to US data where the exclusion parameter is for ten years. Then I run a counterfactual to find the length that maximizes ex-ante welfare. I find that the optimal length is much lower, specifically 2.5 years, than the current regulation and that the consumption equivalent welfare gain (slightly over 1%) of such a policy change is large. In the third chapter, I explore how such credit checks (information on observable credit market actions) might help with incentives in labor market when there is a monopolistic employer. According to a Survey by the Society for Human Resource Management (2010), 25% of human resource representatives interviewed in 1998 indicated that the companies they worked for ran credit checks on potential employees while the fraction increased to 43% in 2004 and 60% in 2009. Ever since Holmstrom (1979), we've known that wage contracts can be designed to improve incentives for workers. I show by means of example that if the employer can have wage contracts contingent upon the asset choice of employees, the profit may be increased. However, some employees may be worse off. We may then assess the welfare consequences of a law (the Equal Employment for All Act (H.R. 3149)) prohibiting the use of credit information in employment decisions which currently sits before Congress. / text

Darbo tikslas – sukurti modifikuotą bankroto diagnozavimo modelį ir jį patikrinti Lietuvos įmonių pavyzdžiu. Darbo uždaviniai: 1) ištyrus bankroto veiksnius, nustatyti jo atsiradimo priežastis; 2) atlikti teorinių bankroto tikimybės įvertinimo modelių analizę; 3) atlikus bankroto diagnozavimo modelių teorinę analizę, sukurti ir patikrinti modifikuotą bankroto diagnozavimo modelį. Darbo objektas – bankroto diagnozavimas. Tyrimo metodai: mokslinės literatūros analizė; loginė lyginamoji analizė bei sintezė; dokumentų, turinio analizė, apibendrinimo metodas; statistinė įmonių finansinių rodiklių analizė. Nagrinėjant įvairių autorių mokslinius veikalus apie bankroto diagnozavimo būtinumą, bankroto atsiradimo priežastis, ištirta bankroto tikimybė 6 atsitiktinai pasirinktose įmonėse, remiantis pinigų srautų analizės, E.I.Altmano modeliais bei sukurtas ir išanalizuotas modifikuotas bankroto diagnozavimo modelis. / Object of work – bankruptcy diagnostic. Aim of work – to create modificated bankruptcy diagnostic models and check its use in practise throught Lithuanian companies. Tasks of work: 1) Investigate bankruptcy elements and indentify reasons of bunkraptcy origin 2) To make theoretical analyzes of bankruptcy diagnostic models; 3) To create and develop modificated bankruptcy diagnostic model. The research methods: the analysis of scientific literature, the methods of logistic comparison, the methods of synthesis, content and documents methods, the methods of generalization, statistical financial analyzes. There were analyzed scientific works of various authors about nessecisity to predict bankropt, the reasons of bankruptcy nascency, investigated bankruptcy probability in 6 companies using cash flow, E.I.Altman models and was created and inquired modified bankruptcy model.

Bill C-55 proposes amendments to the Canadian Bankruptcy and Insolvency Act and the Companies' Creditors Arrangement Act tailored on the procedural framework contemplated by the UNCITRAL Model Law on Cross-Border Insolvency. This thesis demonstrates that implementation of these amendments will bring Canadian insolvency law into closer---but by no means complete---alignment with the doctrine of modified universalism reflected in the Model Law. To this end, the thesis undertakes an analysis of the different theoretical approaches to cross-border insolvency, shows the importance of instrument choice in determining the level of global harmonization attained, and reviews recent projects of harmonization. This is followed by a close comparative analysis of the extent of compliance of the provisions of Bill C-55 with the Model Law, an analysis that demonstrates the shortcomings of model laws and, somewhat paradoxically, their important role and function in eventually bringing about global legal harmonization.

The main purpose of this study is to develop a bankruptcy prediction model for the small business firm. Data was collected from the Dallas Small Business Administration (SBA), making this study specific to its decision makers. Existing research has produced models which predominately use financial ratios and information measures either independently or combined, and a few research models have used economic trends. This study varies from past studies in that it includes regional economic variables from the states of Texas. A sample of three-year data for 138 firms included fifteen bankrupt firms. This proportion of bankrupt/nonbankrupt firms approximates the proportion of repayed/defaulted loans in the SBA. Stepwise regression, set at the .15 level of significance, reduced a total of fifty-three variables to nine. These nine variables were then used to test twelve predictive models. All twelve models tested improved the SBA repayment rate and only two of the twelve would have caused the SBA to deny loans to applicants who eventually repaid. The study determined the model that included financial ratios, information measures, and Texas economic variables as best. It was also demonstrated that some of the variables used in this model could be eliminated without decreasing the predictive power of the model. The best of twelve models improved the SBA default rate by 40 percent without denying a loan to any applicant that eventually repaid.

This master thesis deals with bankruptcy prediction models for construction companies doing business in Czech Republic. Terms important for understanding the issue are defined in the theoretical part. In analytical part, there are five current bankruptcy prediction models tested on the analysed sample and resulted accuracy compared with original ones. On the basis of knowledges acquired, there is developed a brand-new bankruptcy prediction model.

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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Firms that emerged from Chapter 11 as public companies have tons of characteristics. The first essay analyzes their post bankruptcy performance, duration effect, and the quality of their projection information. While the sample's post bankruptcy performance does show improvement, their projections tend to be optimistic. Firms with shorter durations in Chapter 11generally achieve better performance than those with longer durations, in terms of Z-scores, but not in excess returns. Compared to firms that did not provide (complete) projection information, the sample firms generally exhibit better improvement, as measured by Z-scores and short term excess returns. The second essay tracks the holding period return in investing in bankrupt stocks using a buy-and-hold strategy. Holding period return using stock price alone cannot show the entire story, as when considering final distributions plus the stock price, we see a much severe loss. In the regression analysis, the results reveal that liquidity is always a key factor in explaining the returns. Profitability and information uncertainty plays a significant role in explaining the positive returns, while liquidity and (un)profitability are the two key issues in negative returns. In addition, the involvement of hedge funds does not show signs of better stock performance. The third essay explores the role hedge funds play as investors in bankrupt firms. The results show that their major contributions are to provide liquidity for and help the troubled firms improve their profitability. Compared the performances in post bankruptcy to pre-bankruptcy level, bankrupt firms with hedge funds involvement tend to be in better shape compared to the ones without any vulture investments, however, firms with hedge fund show comparable results with the ones with other vulture investors, such as private equities. In addition, the above improvements only appear in the short run, and the involvement of hedge funds does not guarantee a better stock performance. Therefore, hedge funds are more of financial players, rather than strategic players, as hedge funds do not help the troubled firms go through a systematic restructuring to achieve sustainable improvements.