This study analyses credit default risk for firms in the Asian and Pacific region by applying two methodologies: a Support Vector Machine (SVM) and a logistic regression (Logit). Among different financial ratios suggested as predictors of default, leverage ratios and the company size display a...

This study analyses credit default risk for firms in the Asian and Pacific region by applying two methodologies: a Support Vector Machine (SVM) and a logistic regression (Logit). Among different financial ratios suggested as predictors of default, leverage ratios and the company size display a...

This study analyses credit default risk for firms in the Asian and Pacific region by applying two methodologies: a Support Vector Machine (SVM) and a logistic regression (Logit). Among different financial ratios suggested as predictors of default, leverage ratios and the company size display a...

In many economic applications it is desirable to make future predictions about the financial status of a company. The focus of predictions is mainly if a company will default or not. A support vector machine (SVM) is one learning method which uses historical data to establish a classification...

Principles of Marketing is designed to meet the scope and sequence for a one-semester marketing course for undergraduate business majors and minors. Principles of Marketing provides a solid grounding in the core concepts and frameworks of marketing theory and analysis so that business students...

Principles of Marketing is designed to meet the scope and sequence for a one-semester marketing course for undergraduate business majors and minors. Principles of Marketing provides a solid grounding in the core concepts and frameworks of marketing theory and analysis so that business students...