We investigate the relative importance of various bankruptcy predictors commonly used in the existing literature by applying a variable selection technique, the least absolute shrinkage and selection operator (LASSO), to a comprehensive bankruptcy database. Over the 1980 to 2009 period, LASSO admits the majority of Campbell, Hilscher, and Szilagyi’s (2008) predictive variables into the bankrupt...

The high social costs associated with bankruptcy have spurred searches for better theoretical understanding and prediction capability. In this paper, we investigate a hybrid approach to bankruptcy prediction, using a genetic programming algorithm to construct a bankruptcy prediction model with variables from a rough sets model derived in prior research. Both studies used data from 291 US public...

The literature presents a clear divide between the so called market and accounting based approaches to bankruptcy prediction. With this in mind, this paper employs the discrete time hazard model framework of Shumway (2001) to test the information content of both market and accounting based models using Australian data. We …nd that market based models signi…cantly outperformed accounting based m...

This paper aims to contribute to the growing literature on the causes of consumer bankruptcy. It presents the consumer bankruptcy decision as an irreversible choice that has an embedded real option value. This allows the use of a well known framework for the study of decision making under uncertainty. The principal empirical finding is that cross-sectional variances of economic factors, such as...

Today in every organization financial analysis provides the basis for understanding and evaluating the results of business operations and delivering how well a business is doing. This means that the organizations can control the operational activities primarily related to corporate finance. One way that doing this is by analysis of bankruptcy prediction. This paper develops an ontological model...

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 (19...

The paper discusses bankruptcy prediction model in the UK during the two last decades. My study is provided to support that the Original Altman’s Z-score (1968) might not valid to predict bankruptcy since the business environment changed a lot. However, there are many firms go to bankrupt recently and there is a need to study and improve the bankruptcy predictive ability. And the result shows t...

Bankruptcy prediction is very important for all the organization since it affects the economy and rise many social problems with high costs. There are large number of techniques have been developed to predict the bankruptcy, which helps the decision makers such as investors and financial analysts. One of the bankruptcy prediction models is the hybrid model using Fuzzy C-means clustering and MAR...

When liability is limited by bankruptcy, theory says that firms will take excessive environmental and public health risks. In the long run, this “judgmentproof problem” may increase the share of small producers, even when there are economies of scale. I use quasi-experimental variation in liability exposure to measure the effects of bankruptcy protection on industry structure and environmental ...