Predicting Bankruptcy Resolution

This study examines classification and prediction of the bankruptcy resolution event. Filing of bankruptcy is resolved through one of three alternative resolutions: acquisition, emergence or liquidation. Predicting the final bankruptcy resolution has not been examined in the prior accounting and finance literature. This post-bankruptcy classification and prediction of the final resolution is harder than discriminating between healthy and bankrupt firms because all filing firms are already in financial distress. Motivation for predicting the final resolution is developed and enhanced. A sample of 237 firms filing for bankruptcy is used. Classification and prediction accuracies are determined using a logit model. A ten-variable, three-group resolution logit model, which includes five accounting and five non-accounting variables is developed. The model correctly classifies 62 percent of the firms, significantly better than a random classification. We conclude that non-accounting data add relevant information to financial accounting data for predicting post bankruptcy resolution. Further, public policy implications for investors, researchers, bankruptcy judges, claimants and other stakeholders are discussed.     

破产企业治理结构与破产会计信息质量监控

本文以新破产法 (草案) 的基本框架为依托, 将破产企业分为破产和解企业、破产重整企业和破产清算企业三类, 探讨了不同类型破产企业的治理结构及其会计信息的特点, 提出了明确破产会计信息质量的监控目标、建立全面的破产会计制度规范、构建完整的破产会计信息质量监控体系、提高破产相关人员的综合素质等监控破产会计信息质量的基本思路。     

The Relationship between Bankruptcy Model Predictions and Stock Market Perceptions of Bankruptcy

This study uses a cumulative sum technique to determine the point at which the stock market first perceives that a firm may file for bankruptcy. The study then attempts to identify information, whether from financial statements or from other sources, that may have influenced the market in its reassessment of the firm's prospects. The results indicate that the switching point of the mean and variance of stock returns appears to be related both to financial statement information (as measured by changes in bankruptcy model probability assessments) and the release of unfavorable news in the Wall Street Journal.     

Bankruptcy practice in India

The bankruptcy framework prevailing in India, traces its roots back to colonial rule. That framework has undergone a number of amendments over the past 200 years, creating a plethora of overlapping and sometimes conflicting articles. The latest attempt at reconciliation of these various Acts was made under the Companies Act, 2013. This paper drives through the land mark amendments in the history of India, leading to the current bankruptcy framework. Each Act is discussed based on the requirements, procedures and outcomes post enactment. Also, the major pros and cons of the different Acts are identified, and a critical analysis is presented of the latest Act, Companies Act, 2013. Moreover, the provisions of Chapter 7 and Chapter 11 of the U.S Bankruptcy Framework are compared against the provisions of these Acts. The paper then presents a diluted, easy to understand, step by step procedure of the current bankruptcy framework. Followed by a case analysis of a recent prominent Bankruptcy, to elicit the issues in the current framework. In conclusion, a list of recommendations is presented, to improve the Bankruptcy Framework in India.     

Asset Allocation in Bankruptcy

This paper investigates the consequences of liquidation and reorganization on the allocation and subsequent utilization of assets in bankruptcy. Using the random assignment of judges to bankruptcy cases as a natural experiment that forces some firms into liquidation, we find that the long‐run utilization of assets of liquidated firms is lower relative to assets of reorganized firms. These effects are concentrated in thin markets with few potential users and in areas with low access to finance. These findings suggest that when search frictions are large, liquidation can lead to inefficient allocation of assets in bankruptcy.     

Bankruptcy in long-term investments

Long-term portfolio management is an important issue in modern finance and practice. We have analysed various known continuous-time strategies in portfolio management, with a focus on bankruptcy probabilities under these strategies. We show that, for each strategy, there is a threshold in the target return rate. When the target return rate is set above this threshold, the application of the strategy for a long investment horizon leads to certain bankruptcy. For a target return rate lower than this threshold, bankruptcy never occurs. Bankruptcy probabilities under a finite investment horizon are also studied. An empirical study based on the Dow Jones Industrial Average Index confirms these results. By comparing the behaviour of these strategies in various parameter regions, we reveal connections among these seemingly different strategies.     

破产企业的资产评估

破产企业的资产评估工作,在企业破产程序中占有十分重要的位置.客观、公正地反映破产企业的现时价值,对企业破产方案的制定和维护债权债务人的合法权益有着十分重要的意义.本文对破产企业的资产评估问题进行了探讨.     

Forum-Shopping and Personal Bankruptcy

The dramatic increase in U.S. personal bankruptcy filings of the last fifteen years has focused attention on the wide disparities between different states' personal bankruptcy exemptions. These differences have been criticized both on the grounds of equity and also because they provide an incentive to move to a state with a higher exemption before declaring bankruptcy, that is to forum-shop. This paper focuses on the latter of these objections. Using data from the Panel Study of Income Dynamics (PSID), we estimate a Nested Logit model of the household migration decision. Our econometric approach specifically avoids the problem of endogenously induced bankruptcy filings by examining the effect of filing propensity, rather than the actual event of filing, on the tendency to migrate to a higher exemption state. We conclude that while there is indeed evidence that considerations of bankruptcy laws do influence interstate migration, the actual effect is relatively modest. We estimate that, in any given year, roughly one percent of moves to higher-exemption states are motivated by considerations of differences in bankruptcy laws; by way of comparison, this is roughly comparable to the magnitude of recent estimates of welfare-induced migration. This suggests that the emphasis on differences in exemptions which has been a feature of recent attempts to reform the bankruptcy code is somewhat exaggerated.     

试论破产中个别破产程序的完善

我国现行破产法关于破产程序的规定,受立法背景限制存在缺陷与不足,急需完善.本文就现行破产法中个别破产程序的完善提出了建议.     

Estimation of Implicit Bankruptcy Costs

This paper presents a new methodology, quasilinear estimation, for efficiently estimating economic variables reflected in the prices of corporate securities. For example, ex ante bankruptcy costs are not directly observable, however, if these costs are sufficiently large, then current security prices are affected and bankruptcy costs can be indirectly measured. When bankruptcy costs and other relevant parameters are known, there are many numerical solution techniques that can be used to determine security prices. One technique, the method of lines, is compatible with quasilinear estimation, which has been employed extensively in the physical sciences for the estimation of coefficients in differential equation models. We demonstrate that quasilinear estimation is a potentially reliable and efficient technique for the estimation of corporate bankruptcy costs and the asset variance from security prices.     

Bankruptcy Prediction with Industry Effects

This paper investigates the forecasting accuracy of bankruptcy hazard rate models for U.S. companies over the time period 1962–1999 using both yearly and monthly observation intervals. The contribution of this paper is multiple-fold. One, using an expanded bankruptcy database we validate the superior forecasting performance of Shumway's (2001) model as opposed to Altman (1968) and Zmijewski (1984). Two, we demonstrate the importance of including industry effects in hazard rate estimation. Industry groupings are shown to significantly affect both the intercept and slope coefficients in the forecasting equations. Three, we extend the hazard rate model to apply to financial firms and monthly observation intervals. Due to data limitations, most of the existing literature employs only yearly observations. We show that bankruptcy prediction is markedly improved using monthly observation intervals. Fourth, consistent with the notion of market efficiency with respect to publicly available information, we demonstrate that accounting variables add little predictive power when market variables are already included in the bankruptcy model.     

Bankruptcy Litigation and Relationship Banking

This paper analyzes how bankruptcy litigation affects the value of relationship banking. In our model, bankruptcy courts may make type 1 errors, i.e., they may declare that an insolvent firm is solvent; and they may make type 2 errors, i.e., they may declare that a solvent firm is insolvent. Our model provides four results. First, the cost of bank debt decreases when the probability that bankruptcy courts make type 2 errors increases. Second, the value of relationship banking increases when the probability that bankruptcy courts make type 1 errors increases. Third, the cost of credit intermediation decreases when the probability that bankruptcy courts make type 2 errors increases. Fourth, the diversification mechanism does not fully solve the delegated monitoring problem.     

Assessing the Probability of Bankruptcy

We assess whether two popular accounting-based measures, Altmans (1968) Z-Score and Ohlsons (1980) O-Score, effectively summarize publicly-available information about the probability of bankruptcy. We compare the relative information content of these Scores to a market-based measure of the probability of bankruptcy that we develop based on the Black–Scholes–Merton option-pricing model, BSM-Prob. Our tests show that BSM-Prob provides significantly more information than either of the two accounting-based measures. This finding is robust to various modifications of Z-Score and O-Score, including updating the coefficients, making industry adjustments, and decomposing them into their lagged levels and changes. We recommend that researchers use BSM-Prob instead of Z-Score and O-Score in their studies and provide the SAS code to calculate BSM-Prob.     

Bankruptcy laws and debt renegotiation

This paper analyzes the effect of the toughness of bankruptcy law on the number of liquidations in a simple model of borrowing and lending with asymmetric information, where the creditor cannot credibly commit to liquidate the firm if the default occurs. In our setting we consider a bankruptcy law to be a one-dimensional variable that influences creditor's expectation value of collateral. We find that there is an interval of the bankruptcy law, where the number of liquidations decreases in the toughness of the bankruptcy law. We also find that if the liquidation costs are high, softer bankruptcy law is preferred.     

Employee Costs of Corporate Bankruptcy

An employee's annual earnings fall by 13% in the first full calendar year after her firm's bankruptcy, and the present value of lost earnings from bankruptcy to six years following bankruptcy is 87% of pre-bankruptcy annual earnings. More worker earnings are lost in thin labor markets and among small firms. Ex ante compensating wage differentials for this “bankruptcy risk” are up to 2% of firm value for a firm whose credit rating falls from AA to BBB, comparable in magnitude to debt tax benefits. Thus, wage premia for expected costs of bankruptcy are sufficiently large to be an important consideration in capital structure decisions.     

Prior Wall Street Journal Announcements of Possible Bankruptcy Filings and Price Reactions to Subsequent Bankruptcy Filings

This study examines the relation between prior Wall Street Journal (WSJ) announcements of possible bankruptcy filings and price reactions to subsequent bankruptcy filings for 336 firms that filed for bankruptcy between 1980 and 1993. Extant research indicates that price reactions to announcements of economic events are inversely related to the amount of surprise in the announcements. Prior WSJ anouncements of possible bankruptcy filings increase the markets a priori assessment of firms' probability of bankruptcy, thereby potentially reducing the surprise in subsequent bankruptcy filings. We hypothesize smaller price reactions to bankruptcy filings for firms where the WSJ previously published an article indicating that the firm may file for bankruptcy. Our results are consistent with this hypothesis. Specifically, we find smaller price reactions to bankruptcy filings for firms with prior WSJ announcements of possible bankruptcy filings. Our results hold after controlling for firm size, probability of bankruptcy, exchange listing, leverage, and predisclosure information.     

Personal Bankruptcy and Credit Market Competition

We document a link between U.S. credit supply and rising personal bankruptcy rates. We exploit the exogenous variation in market contestability brought on by banking deregulation—the relaxation of entry restrictions in the 1980s and 1990s—at the state level. We find deregulation explains at least 10% of the rise in bankruptcy rates. We also find that deregulation leads to increased lending, lower loss rates on loans, and higher lending productivity. Our findings indicate that increased competition prompted banks to adopt sophisticated credit rating technology, allowing for new credit extension to existing and previously excluded households.     

企业破产案件中银行债权的维护

在银行进行改革并真正成为市场主体的过程中,银行债权的维护日益重要,而企业破产案件中银行债权的维护则是重中之重。在现有体制及法规体系下,银行只有加强自身的保护能力才能很好地实现维护其债权的目的。银行加强自身保护能力必须从两方面着手,一是要加强有效的内控制度建设;二是要在破产程序中正确运用法律武器维护其权益。