PURPOSE Patients with cancer are more likely to file for bankruptcy than the general population, but the impact of severe financial distress on health outcomes among patients with cancer is not known. METHODS We linked Western Washington SEER Cancer Registry records with federal bankruptcy records for the region. By using propensity score matching to account for differences in several demogra...

a r t i c l e i n f o This paper aims to examine the intra-industry effects of confirmation of a reorganization plan. Using unique Taiwanese data on announcements of reorganization confirmation, I find evidence that such announcements elicit positive stock price reactions for the announcing firms and negative stock price reactions for other firms within the same industry. Specifically, negative...

Bankruptcy Abuse Prevention and Consumer Protection Act of 2005 (BAPCPA) imposed stringent requirements on Key Employee Retention Plan (KERP) adoptions and implicitly favored Performance Incentive Plans (PIPs) in the amended Chapter 11. We use court documents to differentiate between retention versus performance incentive plans, and examine their impact on bankruptcy resolution before and after...

A test of adverse events and strategic timing theories can be conducted by determining whether some relevant financial decision variables, such as financial benefit from filing for bankruptcy, or debt discharged in bankruptcy are endogenous with the bankruptcy decision or not. For the strategic timing theory such decisions are endogenous, while for the adverse events theory they are not. Hausma...

We analyse an economy where principals and agents match and contract subject to moral hazard. Bankruptcy law defines the limited liability constraint in these contracts. We analyse Walrasian allocations to generate the following predictions: (i) weakening bankruptcy law causes redistribution of debt and welfare from poor agents and principals to rich agents; (ii) exemption limits Pareto-dominat...

Financial distress prediction is always important for financial institutions in order for them to assess the financial health of enterprises and individuals. Bankruptcy prediction and credit scoring are two important issues in financial distress prediction where various statistical and machine learning techniques have been employed to develop financial prediction models. Since there are no gene...

Bankruptcy reorganization in the United States has traditionally offered a bankrupt debtor the opportunity to seek a “fresh start” from its creditors and reorder its affairs to move forward without the pressure of outstanding debts.1 Though this may be just one of many aims promoted by the current bankruptcy framework,2 the architecture of the present-day Bankruptcy Code (the Code)—implemented ...

Bankruptcy prediction is one of the major business classification problems. The main purpose of this study is to investigate Kohonen self-organizing feature map in term of performance accuracy in the area of bankruptcy prediction.  A sample of 108 firms listed in Tehran Stock Exchange is used for the study. Our results confirm that Kohonen network is a robust model for predicting bankruptcy in ...

Bankruptcy prediction has been addressed by many researchers in the field of finance since few decades. One of the best approaches to deal with this issue is considering it as a classification problem. In this paper a time series prediction model of bankruptcy via Adaptive neuro-fuzzy inference system (ANFIS) is formulated, which is capable of predicting the bankruptcy of a firm for any future ...

-Signs of a potential business bankruptcy are evident well before actual bankruptcy occurs. For managers, creditors, and all other concerned parties this lag allows time to take remedial action. Therefore, building models, which signal approaching financial failure, have been an important part of corporate finance literature, in order to help management refocus their energy, revaluate their cor...