scholarly journals Corporate default risk and environmental deterioration: international evidence

2021 ◽  
Author(s):  
Obaid Ur Rehman ◽  
Xiaoxing Liu
Keyword(s):  
Default Risk ◽  
Corporate Default ◽  
International Evidence ◽  
Environmental Deterioration

scholarly journals Corporate Default Risk and Environmental Deterioration (International Evidence)

2021 ◽  
Author(s):  
Obaid Ur Rehman ◽  
Xiaoxing Liu
Keyword(s):  
Low Income ◽  
Default Risk ◽  
Negative Impact ◽  
Market Competition ◽  
Preliminary Evidence ◽  
Firm Level ◽  
Corporate Default ◽  
Environmental Deterioration ◽  
Variable Approach ◽  
The Impact

Abstract This study explores the impact of corporate default risk on environmental deterioration in the international context. We find that corporate bankruptcy is positively associated with CO2 emissions and its decomposed components. These findings are reliable in low-income and highly uncertain countries but weak in countries having more market competition. We also find that the negative impact of corporate default risk on environment is more robust in countries with more population density and less forest area thresholds. Using instrumental variable approach, we provide preliminary evidence that firm-level political risk (for U.S. and Canadian firms only) tend to increase corporate default risk leading to degrading environment. Our research will help environmental authorities to consider corporate-default risk as a determinant when formulating environmental-related strategies.

The Bloomberg Corporate Default Risk Model (DRSK) for Public Firms

2021 ◽  
Author(s):  
Mario Bondioli ◽  
Martin Goldberg ◽  
Nan Hu ◽  
Chengrui Li ◽  
Olfa Maalaoui Chun ◽  
...  
Keyword(s):  
Default Risk ◽  
Risk Model ◽  
Public Firms ◽  
Corporate Default

The Bloomberg Corporate Default Risk Model (DRSK) for Private Firms

2021 ◽  
Author(s):  
Mario Bondioli ◽  
Martin Goldberg ◽  
Nan Hu ◽  
Chengrui Li ◽  
Olfa Maalaoui Chun ◽  
...  
Keyword(s):  
Default Risk ◽  
Risk Model ◽  
Private Firms ◽  
Corporate Default

scholarly journals Innovative Approach for Forecasting Corporate Default Risk

2018 ◽  
Vol 14 (2) ◽  
pp. 106-119
Author(s):  
Prashanta kumar Behera
Keyword(s):  
Default Risk ◽  
Transition Matrix ◽  
Stress Testing ◽  
Additional Data ◽  
Innovative Approach ◽  
Forecasting Model ◽  
Corporate Default ◽  
Back Testing ◽  
Default Rates ◽  
Risk Parameters

              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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