Using Financial Ratios to Predict Financial Distress of Jordanian Industrial Firms ''Empirical Study Using Logistic Regression''

Using contingency approach to improve firms’ financial performance forecasts

One of the challenging issues for investors and professionals is appropriate models to evaluate financial situation of the firms. In this regard, many models have been extracted by researchers using different financial ratios to resolve these issues. However, choosing a model based on the conditions and users’ needs is complex. The main objective of this study is to identify the effect of conti...

Life Insurer Financial Distress, Best's Ratings and Financial Ratios

This study compares the predictive ability of: (1) ratings, rating changes and total assets; (2) financial ratios; and (3) financial ratios combined with ratings and rating changes on a sample of forty-eight insolvent life insurers over the period 1990 to 1992. Based on the expected cost of misclassification, ratings, rating changes and total assets have comparable predictive ability to financi...

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...

Corporate Financial Distress: An Empirical Analysis of Distress Risk

Predicting corporate financial distress based on integration of support vector machine and logistic regression

The support vector machine (SVM) has been applied to the problem of bankruptcy prediction, and proved to be superior to competing methods such as the neural network, the linear multiple discriminant approaches and logistic regression. However, the conventional SVM employs the structural risk minimization principle, thus empirical risk of misclassification may be high, especially when a point to...