‎The aim of this paper is to generalize the comprehensive structural model for defaultable fixed income bonds (considered in R‎. ‎Agliardi‎, ‎A comprehensive structural model for defaultable fixed-income bondsو Quant‎. ‎Finance 11 (2011)‎, ‎no‎. ‎5‎, ‎749--762.) into a comprehensive unified model of structural and reduced form models‎. ‎In our model the bond holders receive the deterministic co...

The probability approach to uncertainty and modeling is applied to default probability estimation. This issue has attracted attention as banks contemplate the requirements of Basel II’s IRB rules. Nicholas M. Kiefer proposes the fomal introduction of expert information into quantitative analysis. An application treating the incorporation of expert information on the default probability is consi...

In this paper we study how corporate bond defaults can be predicted using financial ratios and how the forecasted probability of default relates to the cross-section of expected stock returns. Using several performance measures we find that the duration model outperforms existing models in correctly classifying both Default and Non-Default firms. Using the default probabilities predicted by our...

In this paper, we study the calibration problem for the Merton–Vasicek default probability model [Robert Merton, On the pricing of corporate debt: the risk structure of interest rate, Journal of Finance 29 (1974) 449–470]. We derive conditions that guarantee existence and uniqueness of the solution. Using analytical properties of the model, we propose a fast calibration procedure for the condit...

The main idea of this paper is to study the dependence between the probability of default and the recovery rate on credit portfolio and to seek empirically this relationship. We examine the dependence between PD and RR by theoretical approach. For the empirically methodology, we use the bootstrapped quantile regression and the simultaneous quantile regression. These methods allow to determinate...

This paper develops a methodology for modeling and estimating expected loss over arbitrary horizons. We jointly model the probability of default and the recovery rate given default. Different model specifications are estimated using an extensive default and recovery data set that contains the majority of defaults between 1980–2004 of AMEX, NYSE and NASDAQ listed companies. We undertake extensiv...

Credit risk models are used by financial companies to evaluate in advance the insolvency risk caused by credits that enter into default. Many models for credit risk have been developed over the past few decades. In this paper, we focus on those models that can be formulated in terms of the probability of default by using survival analysis techniques. With this objective three different mechanis...

On the assumption that asset value of a company is the sum of total market value of stock and debt value, we estimate a mean value and variance of the sum with the first moment and second moment. We also assume a new variable for which fluctuation during an evaluation period conforms to these moments and follows geometric Brownian motion. Then we construct a default probability estimation model...

Based on the idea of KMV model to build China's local government debt credit risk model, and associate the credit risk with borrowing scale to put forward the moderate debt scale of local government. Studies show that: The credit risks of local government debt is very sensitive to debt scale, When debt scale increases to a certain extent, the government’s default probability will rise sharply, ...