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Bond Price Data and Bond Market Liquidity
This paper attempts to characterize liquidity-driven noise in the CRSP Government Bond price data set by comparing these price records to the independently collected Shearson Lehman Brothers (SLB) Bond Data Base. We argue that discrepancies between the data sets are due largely to liquidity-driven price errors, and we show that they are systematically related to certain bond characteristics. On the other hand, these discrepancies are small in magnitude and are approximately mean zero. We examine data filters based on observable bond characteristics and show that these filters can reduce the noise in price records while preserving their mean zero nature. The effects of these errors on performance evaluation are investigated by comparing results using filtered and unfiltered data.
Bondholder Losses in Leveraged Buyouts
[Announcements of successful leveraged buyouts (LBOs) during January 1985 to April 1989 caused a significantly negative return on outstanding publicly traded nonconvertible bonds. Yet the average risk-adjusted debt holder losses are less than 7 percent of the average risk-adjusted equity holder gains. Bond losses are related to the pre-LBO rating, but only weakly to equity holder gains. We demonstrate that trader-quoted data from a major investment bank offers conclusions about the effects of LBOs on debt holders different from those drawn from commonly used matrix and exchange-based data (such as Standard & Poor's Bond Guide data). This has important implications for event studies involving debt instruments.]
Some Empirical Estimates of the Risk Structure of Interest Rates
This paper investigates the risk structure of interest rates using pure discount bonds. The most striking feature of our estimates of default-risk premia is the resemblance of their time profile to the theoretical time profile obtained by Merton (1974).
Some Empirical Estimates of the Risk Structure of Interest Rates
This paper investigates the risk structure of interest rates using pure discount bonds. The most striking feature of our estimates of default‐risk premia is the resemblance of their time profile to the theoretical time profile obtained by Merton (1974) .
Optimal Distribution‐Free Tests and Further Evidence of Heteroscedasticity in the Market Model: A Comment
Optimal Distribution-Free Tests and Further Evidence of Heteroscedasticity in the Market Model: A Comment
Managerial Agency and Bond Covenants
[Based on an analysis of the agency risk for bondholders from managerial entrenchment and fraud, we derive and test refutable hypotheses about the influence of managerial agency risk on bond covenants, using a comprehensive database of corporate bonds from the 1993-2007 period. Managerial entrenchment and the risk of managerial fraud significantly influence the use of covenants, in the direction predicted by the agencytheoretic framework. Our analysis highlights the varied effects of entrenchment on different types of agency risks faced by bondholders: Entrenched managers aggravate investment risk, but ameliorate risk from shareholder opportunism. Covenant use also responds efficiently to the quality of information available regarding the risk of managerial fraud.]
Underpricing in the Corporate Bond Market
[This article examines underpricing of initial public offerings (IPOs) and seasoned offerings in the corporate bond market. We investigate whether underpricing represents a solution to an information problem or a liquidity problem. We find that underpricing occurs with both IPOs and seasoned offerings and is highest among riskier, unknown firms. Our evidence suggests that information problems drive underpricing, with support for both the bookbuilding view of underpricing and the asymmetric information theory. We do not find evidence in favor of the Rock model of underpricing or any evidence that illiquidity causes underpricing.]
The Pricing of Interest‐Rate Risk: Evidence from the Stock Market
This paper addresses the issue of whether firms are required to pay an ex ante premium to investors for bearing the risk of interest‐rate changes. A two‐factor APT model with the market and changes in the yield on long‐term government bonds as factors is employed. The paper shows that, empirically, most of the interest‐sensitive stocks are in the utility industries, and that there is reasonable evidence that the interest factor is priced in the sense of the APT. Several sources for the interest sensitivity are considered, and regulatory lags are focused on as a likely candidate.