Finance and Financial Management Commons^™

Using Macroeconomic Variables To Preserve The Predictive Power Of Bankruptcy Prediction Models Across Time, Edward Golas

Honors Projects in Finance

At its core, bankruptcy prediction is a binary classification problem where a researcher attempts to model a company’s financial status, defined as either bankrupt or non-bankrupt, based upon a slew of financial ratios, market indicators and even macroeconomic variables. Several studies (Altman and McGrough, 1974; Moyer, 1977 and Mensah, 1984) have noted that such models tend to suffer reduced accuracy when predicting bankruptcy for time periods other than the one in which they were trained. A possible solution to this problem is to include macroeconomic variables in the model, since such variables fluctuate over time and are suspected of impacting …