Our paper offers the first justification for the U.S. bankruptcy code, in which firms are not allowed to commit themselves ex-ante in their lending agreements either to (Chapter 7) liquidation or to (Chapter 11) reorganization in case of distress ex-post. If fire-sale liquidation imposes negative externalities on their peers, then firms can be collectively better off if they are all forced into...

This study examined the impact of declaring consumer bankruptcy on the physical and mental health of adult women and if outcomes differed depending on whether the filer received automatic debt discharge under Chapter 7 compared to a debt repayment plan with Chapter 13. Sample data consisted of women from the NLSY79 cohort who completed the age 40 and 50 health modules as of the most recent wave...

Bankruptcy assessment provides valuable information for the governments and investors to base their decisions in order to prevent possible financial losses. Data envelopment analysis (DEA) has generally been used to assess relative efficiency of decision making units. Recently, several approaches have appeared that reformulate DEA as a bankruptcy prediction tool. However, only several studies h...

In financial markets, participants locally optimize their profit which can result in a globally unstable state leading to a catastrophic change. The largest crash in the past decades is the bankruptcy of Lehman Brothers which was followed by a trust-based crisis between banks due to high-risk trading in complex products. We introduce information dissipation length (IDL) as a leading indicator o...

In this paper, we consider a diffusion approximation to a classical risk process with the possibility of quota-share and excess-of-loss reinsurance, while in addition the company controls the amount of dividends paid out to the shareholders as well as the capital injections. The objective is to maximize the cumulative expected discounted dividends minus the penalized discounted capital injectio...

In bankruptcy prediction, the proportion of events is very low, which is often oversampled to eliminate this bias. In this paper, we study the influence of the event rate on discrimination abilities of bankruptcy prediction models. First the statistical association and significance of public records and firmographics indicators with the bankruptcy were explored. Then the event rate was oversamp...

In our study we rely on a data mining procedure known as support vector machine (SVM) on the database of the first Hungarian bankruptcy model. The models constructed are then contrasted with the results of earlier bankruptcy models with the use of classification accuracy and the area under the ROC curve. In using the SVM technique, in addition to conventional kernel functions, we also examine t...

This paper analyzes auctions where budget-constrained bidders have options to declare bankruptcy. It predicts a bidding equilibrium that changes discontinuously in a borrowing rate available to bidders. When the borrowing rate is above a threshold, high-budget bidders win, and the likelihood of bankruptcy is low. When the borrowing rate is below the threshold, the winner is the most budget-cons...

This paper examines the effects of liability-sharing rules on social welfare and risk reduction when one firm (the principal) delegates indivisible hazardous activities to one of the potential firms (the agents). The problem is posed as providing incentives from the principal to the agents, through the contract, to reduce the level of accident probability under a liability rule in force. Our ma...

The Brazilian Bankruptcy Law—Law No. 11,101 of 2005 (“BBL”)—has just celebrated its 10th anniversary.2 It replaced the outdated bankruptcy law that had been in force since 1945. The BBL promoted a major overhaul of the Brazilian corporate insolvency system. It ultimately shifted from a liquidation-oriented and outdated legislation to embrace modern principles of corporate restructuring designed...