Investment Timing, Liquidity, and Agency Costs of Debt

This paper examines the effect of debt and liquidity on corporate investment in a continuous- time framework. We show that stockholder-bondholder agency conflicts cause investment thresholds to be U-shaped in leverage and decreasing in liquidity. In the absence of tax effects, we derive the optimal level of liquid funds that eliminates agency costs by implementing the first-best investment policy for a given capital structure. In a second step we generalize the framework by introducing a tax advantage of debt, and we show that an interior solution for liquidity and capital structure optimally trades off tax benefits and agency costs of debtinvestment timing; liquidity; agency costs of debt; capital structure; real options

Does modeling framework matter? A comparative study of structural and reduced-form models

This study provides a rigorous empirical comparison of structural and reduced-form credit risk frameworks. As major difference we focus on the discriminative modeling of default time. In contrast to previous literature, we calibrate both approaches to bond and equity prices. By using same input data, applying comparable estimation techniques, and assessing the out-of-sample prediction quality on same time series of CDS prices we are able to judge whether empirically the model structure itself makes an important difference. Interestingly, the models' prediction power is quite close on average. Still, the reduced-form approach outperforms the structural for investment-grade names and longer maturities. --credit risk,structural models,reduced-form models,default intensity,stationary leverage,credit default swaps

The term structure of illiquidity premia

This paper investigates the dynamics of the term structure of bond market illiquidity premia using data on German bond market segments which differ only with respect to their liquidity. We analyze the interaction between different parts of the term structure and identify economic factors that drive the illiquidity premia. We obtain three main results: (i) The term structure of illiquidity premia is U-shaped on average but its shape varies over time. (ii) There is a strict separation between the short end and the long end of the term structure of illiquidity premia, i.e. we find no evidence for spill-over effects across different maturities. Different economic factors drive different parts of the term structure. The short end is mainly driven by asset market volatilities which suggests a fight-to-liquidity effect. In contrast, the long end depends on long-term business cycle economic prospects. This suggests that different parts of the term structure are determined by different investor clienteles with different liquidity needs. (iii) There is a smooth transition from short-term to long-term illiquidity premia. The longer the time to maturity of a bond, the less important market volatilities are and the more important long-term economic prospects become. --bond liquidity,term structure of illiquidity premia

An Electricity Price Modeling Framework for Renewable-Dominant Markets

Renewables introduce new weather-induced patterns and risks for market participants active in the energy commodity sector. We present a flexible framework for power spot prices that is capable of incorporating a weather model for the joint distribution of local weather conditions. This not only allows us to make use of a long history of local weather data in the calibration procedure but also makes it possible to assess how changes in the renewable generation portfolio impact the characteristics of future wholesale spot prices. Empirical tests demonstrate the model’s capability to reproduce salient features of market variables. We furthermore show why our model offers unique benefits for market players compared to existing approaches

An Electricity Price Modeling Framework for Renewable-Dominant Markets

Renewables introduce new weather-induced patterns and risks for market participants active in the energy commodity sector. We present a flexible framework for power spot prices that is capable of incorporating a weather model for the joint distribution of local weather conditions. This not only allows us to make use of a long history of local weather data in the calibration procedure but also makes it possible to assess how changes in the renewable generation portfolio impact the characteristics of future wholesale spot prices. Empirical tests demonstrate the model\u27s capability to reproduce salient features of market variables. We furthermore show why our model offers unique benefits for market players compared to existing approaches