We use a unique data-set to study liquidity effects in the US corporatebond market, covering more than 30,000 bonds. Our analysis explorestime-series and cross-sectional aspects of corporate bond yield spreads,with the main focus being on the quanti fication of the impact ofliquidity factors,...

We use a unique data set from the Trade Reporting and Compliance Engine (TRACE) to study liquidity e ffects in the US structured product market. Our main contribution is the analysis of the relation between the accuracy in measuring liquidity and the potential degree of disclosure. Having access...

AbstractWe investigate whether liquidity is an important price factor in the US corporate bond market. In particular, we focus on whether liquidity effects are more pronounced in periods of financial crises, especially for bonds with high credit risk, using a unique data set covering more than...

We use a unique data set from the Trade Reporting and Compliance Engine (TRACE) to study liquidity e ffects in the US structured product market. Our main contribution is the analysis of the relation between the accuracy in measuring liquidity and the potential degree of disclosure. Having access...

type="main" <title type="main">ABSTRACT</title> <p>We explore the link between a firm's stock returns and credit risk using a simple insight from structural models following Merton (<link href="#jofi12143-bib-0033"/>): risk premia on equity and credit instruments are related because all claims on assets must earn the same compensation per unit of risk....</p>

We investigate whether liquidity is an important price factor in the US corporate bond market. In particular, we focus on whether liquidity effects are more pronounced in periods of financial crises, especially for bonds with high credit risk, using a unique data set covering more than 20,000...

Modeling default dependence for measuring and managing portfolio credit risk is one of the most challenging problems in modern finance. The standard industry model is a multi-variate Gaussian latent-variable model, where the latent variables are associated with log asset value processes. These...