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estimation plays a key role in its evaluation. Assuming a structural credit risk modeling approach, we study the impact of … effects of different non-parametric estimation techniques on default probability evaluation. The impact of the non …
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In this paper, we consider a new corporate bond-pricing model with credit-rating migration risks and a stochastic interest rate. In the new model, the criterion for rating change is based on a predetermined ratio of the corporation’s total asset and debt. Moreover, the rating changes are...
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We consider a stochastic volatility model of the mean-reverting type to describe the evolution of a firm's values instead of the classical approach by Merton with geometric Brownian motions. We develop an analytical expression for the default probability. Our simulation results indicate that the...
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The situation of a limited availability of historical data is frequently encountered in portfolio risk estimation …, especially in credit risk estimation. This makes it, for example, difficult to find temporal structures with statistical … selected macroeconomic variables. These findings may improve the estimation of risk measures such as the (portfolio) Value at …
Persistent link: https://www.econbiz.de/10003477096
The situation of a limited availability of historical data is frequently encountered in portfolio risk estimation …, especially in credit risk estimation. This makes it, for example, difficult to find temporal structures with statistical … selected macroeconomic variables. These findings may improve the estimation of risk measures such as the (portfolio) Value at …
Persistent link: https://www.econbiz.de/10012989295