Predicting Nursing Home Financial Distress Using the Altman Z-Score

Predicting Financial Distress of Companies: Revisiting the Z-score and Zeta Models

Predicting Bankruptcy of Companies using Data Mining Models and Comparing the Results with Z Altman Model

One of the issues helping make investment decisions is appropriate tools and models to evaluate financial situation 0f the organization.  By means of these tools, investors can analyze financial situation of the organization and identify financial distress or an ideal condition, they become aware of making decisions to invest in appropriate conditions.  The main objective of this study is to ev...

Predicting Financial Distress in Tehran Stock Exchange

Companies incur significant costs from the financial distress. Predicting financial distress will have an important role in preventing bankruptcy. The aim of the present study is to predict the financial distress costs using the Leland and Toft models, during 1996 and 1998. This study examines data relating to 49 companies listed in the Tehran stock exchange collected over ten years from 2005 t...

Predicting Financial Distress: A Case Study Using Self-organizing Maps

In this paper we use Kohonen’s Self-Organizing Map (SOM) for surveying the financial status of Spanish companies. From it, we infer which are the most relevant variables, so that a fast diagnostic on their status can be reached and, besides, explained via a few rules of thumb extracted from the behavior of those variables. This map can be used as part of a decision making process, or as a first...

Predicting Financial Distress and the Performance of Distressed Stocks

In this paper we consider the measurement and pricing of distress risk. We present a model of corporate failure in which accounting and market-based measures forecast the likelihood of future …nancial distress. Our best model is more accurate than leading alternative measures of corporate failure risk. We then use our measure of …nancial distress to examine the performance of distressed stocks ...