A Fast Literature Search Engine based on top-quality journals, by Dr. Mingze Gao.
- Topic classification is ongoing.
- Please kindly let me know [mingze.gao@mq.edu.au] in case of any errors.
Your search
Results 10 resources
-
The purpose of this article is to explain the spread between rates on corporate and government bonds. We show that expected default accounts for a surprisingly small fraction of the premium in corporate rates over treasuries. While state taxes explain a substantial portion of the difference, the remaining portion of the spread is closely related to the factors that we commonly accept as explaining risk premiums for common stocks. Both our time series and cross‐sectional tests support the existence of a risk premium on corporate bonds.
-
We study the asset pricing implications of an economy where solvency constraints are endogenously determined to deter agents from defaulting while allowing as much risk sharing as possible. We solve analytically for efficient allocations and for the corresponding asset prices, portfolio holdings, and solvency constraints for a simple example. Then we calibrate a more general model to U.S. aggregate as well as idiosyncratic income processes. We find equity premia, risk premia for long-term bonds, and Sharpe ratios of magnitudes similar to the U.S. data for low risk aversion and a low time-discount factor.
-
Using dealer's quotes and transactions prices on straight industrial bonds, we investigate the determinants of credit spread changes. Variables that should in theory determine credit spread changes have rather limited explanatory power. Further, the residuals from this regression are highly cross‐correlated, and principal components analysis implies they are mostly driven by a single common factor. Although we consider several macroeconomic and financial variables as candidate proxies, we cannot explain this common systematic component. Our results suggest that monthly credit spread changes are principally driven by local supply/demand shocks that are independent of both credit‐risk factors and standard proxies for liquidity.
-
Existing theories of the term structure of swap rates provide an analysis of the Treasury–swap spread based on either a liquidity convenience yield in the Treasury market, or default risk in the swap market. Although these models do not focus on the relation between corporate yields and swap rates (the LIBOR–swap spread), they imply that the term structure of corporate yields and swap rates should be identical. As documented previously (e.g., in Sun, Sundaresan, and Wang (1993)) this is counterfactual. Here, we propose a model of the default risk imbedded in the swap term structure that is able to explain the LIBOR–swap spread. Whereas corporate bonds carry default risk, we argue that swap contracts are free of default risk. Because swaps are indexed on “refreshed”‐credit‐quality LIBOR rates, the spread between corporate yields and swap rates should capture the market's expectations of the probability of deterioration in credit quality of a corporate bond issuer. We model this feature and use our model to estimate the likelihood of future deterioration in credit quality from the LIBOR–swap spread. The analysis is important because it shows that the term structure of swap rates does not reflect the borrowing cost of a standard LIBOR credit quality issuer. It also has implications for modeling the dynamics of the swap term structure.
-
We analyze the information content of the ambient noise level in the Chicago Board of Trade's 30‐year Treasury Bond futures trading pit. Controlling for a variety of other variables, including lagged price changes, trading volumes, and news announcements, we find that the sound level conveys information which is highly economically and statistically significant. Specifically, changes in the sound level forecast changes in the cost of transacting. Following a rise in the sound level, prices become more volatile, depth declines, and information asymmetry increases. Our results offer important implications for the future of open outcry and floor‐based trading mechanisms.
-
Using essentially all Moody's bond ratings changes between 1970 and 1997, we find no reliable abnormal returns following upgrades. However, we find negative abnormal returns on the magnitude of 10 to 14 percent in the first year following downgrades. Additional results reveal that this underperformance is especially pronounced for small, low‐credit‐quality firms. Also, downgrades underperform in nearly all years in the sample, and a large part of the abnormal returns occur at subsequent earnings announcements. Thus, the evidence suggests that the poor returns result from an underreaction to the announcement of downgrades, rather than from lower systematic risk.
-
Motivated by recent financial crises in East Asia and the United States where the downfall of a small number of firms had an economy‐wide impact, this paper generalizes existing reduced‐form models to include default intensities dependent on the default of a counterparty. In this model, firms have correlated defaults due not only to an exposure to common risk factors, but also to firm‐specific risks that are termed “counterparty risks.” Numerical examples illustrate the effect of counterparty risk on the pricing of defaultable bonds and credit derivatives such as default swaps.
-
Using a consumption-based asset pricing model with infinite-horizon nonlinear habit formation, Campbell and Cochrane (1999) show that low consumption in surplus of habit should forecast high expected returns. This article argues that the finite-horizon linear habit model also implies an inverse relation between expected returns and surplus consumption. This article also presents empirical evidence, which indicates that expected returns on stocks and bonds vary with surplus consumption implied by the habit models. The volatility of returns and the reward to volatility are also related to surplus consumption. However, less than 30% of the predictable variation of expected returns, using standard lagged information variables, is attributed to surplus consumption.
-
In this paper, I use institutional corporate bond trade data to estimate transactions costs in the over‐the‐counter bond market. I find average round‐trip trading costs to be about 0.27 per 100 of par value. Trading costs are lower for larger trades. Small institutions pay more to trade than large institutions, all else being equal. Small bond dealers charge more than large ones. I find no evidence that trading costs more for lower‐rated bonds.