DocumentCode
2960148
Title
Global Financial Crisis´s Impact on the Credit Risk of Logistics Companies: Comparative Analysis between China and US with KMV Model
Author
Zhang, Shengzhong ; Li, Qian ; Wang, Dan
Author_Institution
Sch. of Econ. & Manage., Chang´´an Univ., Xi´´an, China
fYear
2010
fDate
23-24 Oct. 2010
Firstpage
116
Lastpage
121
Abstract
In order to investigate the global financial crisis´s impact on logistics industry quantitatively, this paper selects 10 logistics listed companies respectively from China and US stock market as samples, calculates the default distances of the companies based on KMV model which is first proposed by US KMV company, analyzes the trend of credit risk change from the third quarter of 2008 to the third quarter of 2009. The results show the financial crisis has a severe impact on the credit risk of logistics companies and KMV model is an effective tool for measuring the credit risk of logistics companies. Furthermore, on average, the trend of credit risk of logistics companies does not coincide with the Gross Domestic Product´s respond to the financial crisis in time completely. The trend of credit risk during the crisis between China and US are not quite the same, and appetites of the two nation´s companies are also different. Finally, authors propose some suggestions about how to manage credit risk and how to respond to the financial crisis for logistics companies and other investors.
Keywords
economic indicators; finance; logistics; risk management; China stock market; US KMV company; US stock market; global financial crisis impact; gross domestic product; logistics companies credit risk; logistics industry; Analytical models; Biological system modeling; Companies; Economic indicators; Logistics; Predictive models; USA Councils; KMV model; credit risk; financial crisis; logistics management; risk management;
fLanguage
English
Publisher
ieee
Conference_Titel
Management of e-Commerce and e-Government (ICMeCG), 2010 Fourth International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8507-9
Type
conf
DOI
10.1109/ICMeCG.2010.31
Filename
5628642
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