EconPapers    
Economics at your fingertips  
 

Innovative Approach for Forecasting Corporate Default Risk

Prashant Kumar Behera

Journal of Global Economy, 2018, vol. 14, issue 2, 106-119

Abstract: :Present time corporate default risk parameters are dynamic in nature and understanding how these parameters change in time is a fundamental task for risk management. In this research paper I am trying to forecast for corporate default rates. Â I work with historical credit migrations data to construct some time series of interest and to visualize default rates dynamics and also, I use some of the series constructed and some additional data to fit a forecasting model for corporate default rates and to shows some back testing and stress testing. A linear regression model for corporate default rates is presented but the tools and concepts described can be used in combination with other forecasting methodologies.

Keywords: Default risk; back testing; stress testing and transition matrix (search for similar items in EconPapers)
JEL-codes: D8 I2 (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.rcssindia.org/jge (application/pdf)
http://www.rcssindia.org (text/html)
Not freely downloadable

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jge:journl:1422

Ordering information: This journal article can be ordered from

Access Statistics for this article

Journal of Global Economy is currently edited by Dr J K SACHDEVA

More articles in Journal of Global Economy from Research Centre for Social Sciences,Mumbai, India
Bibliographic data for series maintained by Dr J K Sachdeva ().

 
Page updated 2025-03-19
Handle: RePEc:jge:journl:1422