Corporate Default Risk and Loan Pricing Behaviour in China

Author(s):  
Hongyi Chen ◽  
Jianghui Chen ◽  
Gaofeng Han
2021 ◽  
Author(s):  
Mario Bondioli ◽  
Martin Goldberg ◽  
Nan Hu ◽  
Chengrui Li ◽  
Olfa Maalaoui Chun ◽  
...  

2021 ◽  
Author(s):  
Mario Bondioli ◽  
Martin Goldberg ◽  
Nan Hu ◽  
Chengrui Li ◽  
Olfa Maalaoui Chun ◽  
...  

2018 ◽  
Vol 14 (2) ◽  
pp. 106-119
Author(s):  
Prashanta kumar Behera

              Innovative Approach for Forecasting Corporate Default Risk        Submitted To: Journal of Global Economy                               By: Prashanta Kumar Behera, PhD                               Email: [email protected] . Ph : 91+8108932693Abstract: 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.  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.


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