Innovative Approach for Forecasting Corporate Default Risk

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DOI:

https://doi.org/10.1956/jge.v14i2.483

Keywords:

Default risk, back testing, stress testing and transition matrix

Abstract

              Innovative Approach for Forecasting Corporate Default Risk

       Submitted To: Journal of Global Economy

                               By: Prashanta Kumar Behera, PhD

                               Email: pkb_behera@yahoo.in . Ph : 91+8108932693

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.  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.

Author Biography

  • Prashanta kumar Behera, Singhania University
    AVP(Valuation & Risk Analytic)

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Published

08.11.2018

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Articles

How to Cite

“Innovative Approach for Forecasting Corporate Default Risk” (2018) Journal of Global Economy, 14(2), pp. 106–119. doi:10.1956/jge.v14i2.483.

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