This paper examines the reorganization process under Chapter 11 of the U.S. bankruptcy code. Our model considers two classes of creditors and accommodates several features of Chapter 11, including the intervention of the bankruptcy judge. We model the strategic interaction between claimants under Chapter 11 as a costly multiple-stage bargaining process, and solve it in a game theory setting. Us...

Closed exchange and production-and-exchange economies may have multiple equilibria, a fact that is usually ignored in macroeconomic models. Our basic argument is that default and bankruptcy laws are required to prevent strategic default, and these laws can also serve to provide the conditions for uniqueness. In this paper we report experimental evidence on the effectiveness of this approach to ...

This paper is written for predicting Bankruptcy using different Machine Learning Algorithms. Whether the company will go bankrupt or not is one of the most challenging and toughest question to answer in the 21 st Century. Bankruptcy is defined as the final stage of failure for a firm. A company declares that it has gone bankrupt when at that present moment it does not have enough funds to pay t...

In this study, we conducted an empirical investigation of whether it is possible to rely on two versions of the Altman Model (1968) to predict financial failure of publicly traded companies in Israel between 2000 and 2007. The findings of the study indicated that given the sample and the study term, the preferable model for predicting financial failure of Israeli companies is the Ingbar version...

Article history: Received 17 January 2014 Received in revised form 28 May 2014 Accepted 29 May 2014 Available online 12 June 2014 This article investigates the impact of the observation that managers can use cash to defer bankruptcy on default risk and corporate financial policies. I show that with managerial cash use to defer default, the impact of cash on default risk depends on two opposing ...

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...

8 The Journal of financial transformation As a result of domestic and external factors, capital flows to emerging market economies are highly volatile. All too often, these economies experience severe financial distress, which in some instances lead them to the country-equivalent of bankruptcy. Recently, the IMF and the U.S. Treasury have come up with plans to facilitate an orderly restructurin...

Due to the economic significance of bankruptcy prediction of companies for financial institutions, investors and governments, many quantitative methods have been used to develop effective prediction models. Support vector machines (SVM), a powerful classification method, has been used for this task, however, the performance of SVM is sensitive to model form, parameters setting and features sele...

We propose a parsimonious model with adverse selection where delinquency, renegotiation, and bankruptcy all occur in equilibrium as a result of a simple screening mechanism. A borrower has private information about her cost of bankruptcy, and a lender may use random contracts to screen different types of borrowers. In equilibrium, some borrowers choose not to repay, and thus become delinquent. ...

The paper is devoted to two real problems that generate a cooperative game model with a so-called k-convex characteristic function when certain conditions are fulfilled. Both a bankruptcy problem and an information trading problem are modelled as a cooperative game by constructing the corresponding bankruptcy game as well as the information market game. Firstly, it is established that the bankr...