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What drives the compensation demanded by investors in risky bonds? Longstaff and Schwartz (1995) predict that one key factor is the time-varying negative correlation between interest rates and the yield spreads on corporate bonds. However, the effects of callability and taxes also need to be considered in empirical analyses. Canadian bonds have no tax effects, yet, after controlling for callability, the correlation between riskless interest rates and corporate bond spreads remains negligible. Our results provide support for reduced-form models that explicitly define a default hazard process and untie the relation between the firm's asset value and default probability. [ABSTRACT FROM AUTHOR]

This paper examines the pricing of exchange-traded long-term corporate bond portfolios. Observable instruments measuring the term structure of interest rates, levels of bond and stock prices, and a January dummy are found to predict excess returns on corporate bonds. An intertemporal asset pricing model with changing expectations and unobservable factors is then estimated for the predictable excess returns using Hansen's Generalized Method of Moments. The results show that a multibeta linear time-varying model of conditional expected returns with constant betas can successfully value corporate bonds. Specifically, the tests indicate the presence of two time-varying hedge portfolios. The data, however, support a single latent variable specification when all January observations are excluded. This result suggests the existence of a strong January seasonal in one of the latent variables. [ABSTRACT FROM AUTHOR]

The article reports on two aspects of the equilibrium pricing of new and seasoned bonds. The first aspect is the analysis of the microeconomic determinants of newly issued or seasoned issue yield spreads like differences in coupon rates and call features. The second is the analysis of the macroeconomic determinants of yield spreads like economic growth, interest rate cycles, and changing marginal tax rates. The analysis includes multiple regression analysis to fit yield data for a sample of new corporate bonds.

In this paper prices of corporate bonds are decomposed into elements associated with (1) the pure price of time, (2) the default risk of the agency rating class to which the bond is assigned, and (3) the unique risk and ancillary features of the bond itself. [ABSTRACT FROM AUTHOR]