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and bond-specific risk (liquidity risk) in a reduced-form framework. We estimate issuer-specific and bond-specific risk from corporate bond data in the German market. We find that bond-specific risk plays a crucial role in the pricing of corporate bonds. We observe substantial differences between different bonds with respect to the relative influence of issuer-specific vs. bond-specific spread on the level and the volatility of the total spread. Issuer-specific risk exhibits strong autocorrelation and a strong impact of weekday effects, the level of the risk-free term structure and the debt to value ratio.Moreover, we can observe some impact of the stock market volatility, the respective stock's return and the distance to default. For the bond-specific risk we find strong autocorrelation, some impact of the stock market index, the stock market volatility, weekday effects and monthly effects as well as a very weak impact of the risk-free term structure and the specific stock's return. Altogether, the determinants of the spread components vary strongly between different bonds/issuers.

This article estimates default intensities within the continuous-time Jarrow and Turnbull model for German bank and corporate bond prices. It is shown that a joint implicit estimation of the default intensity and the recovery rate is numerically unstable. In addition to cross-sectional estimations, separate estimations (for each bond individually) are performed. Results strongly support separate estimation over the building of any cross-sections. In contrast to preceeding literature, the optimum volume of data required to provide reasonable estimates of the default intensity is also investigated. It is shown that calibration based on daily data as a rule does not minimize the ex ante mean squared pricing errors. Finally, it is shown that the constant default intensity assumption is not sound with the underlying data and the determinants of the default intensity are investigated. Regressions show that the lagged default intensity estimate, the level of the default-free term structure and liquidity proxies affect the estimated default intensity via joint parameters.Credit risk, intensity-based models, Jarrow/Turnbull model, term structure of interest rates,

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