Default risk in the European automotive industry
Document Type
Journal Article
Publisher
World Business Institute
Faculty
Faculty of Business and Law
School
School of Business / Marketing and Services Research Centre
RAS ID
16954
Abstract
This paper examines credit risk in the European automotive industry. Distance to Default (DD) is calculated using the Merton structural credit model. In addition, we modify the Merton model to generate an innovative measure of credit risk at the extremes of the asset value fluctuations distribution, which we call Conditional Distance to Default (CDD). The credit risk of all listed automotive stocks on the S&P Euro Index is compared to all the other industries on this index, which comprises 180 stocks with geographic and sectoral diversity. The study spans the 10 years from 2000 to 2009 divided into pre-GFC and GFC periods. Our metrics find the automotive industry to be of high risk relative to other European industries, particularly during the GFC. We also find that our CDD metric is better able to capture the extreme credit risk prevalent in the industry during the GFC than traditional DD metrics.
Access Rights
free_to_read
Comments
Allen, D. E., Kramadibrata, A. R., Powell, R. , & Singh, A. (2013). Default Risk in the European Automotive Industry. International Review of Business Research Papers, 9(1), 22-37. Available here