We propose a dynamic asset pricing model in which two assets with identical cash flows can trade at different prices not only because of differences in liquidity but counterparty risk. Counterparty risk reduces lenders or borrowers’ willingness to supply funds and collateral, incentives to shortsell and lend, and the likelihood for new bonds to be on special, thereby narrowing on-/off-the-run spreads and affecting asset prices in spot markets. Consistent with this prediction, we find that on-/off-the-run spreads are low when counterparty risk is high and this relationship is much stronger during the financial crisis.

This paper examines the signalling implications of sinking funds and shows that under information asymmetry the sinking fund amortization rate provides a credible signal for the quality of the firm. In a separating equilibrium, better quality firms choose higher sinking fund amortization rates in their bond issues. A latent index model is proposed for testing the hypothesis of sinking fund signalling. Empirical evidence indicates that the sinking fund amortization rate signals the credit quality of the firm.

[This paper analyzes the adjustment processes of financial ratios in the presence of costly adjustment and information uncertainty. The paper proposes a generalized partial adjustment-adaptive expectations model to characterize dynamic financial ratio adjustment processes. The proposed model incorporates the persistence of changes in industry averages into the process of financial ratio adjustment. The Gauss-Newton nonlinear regression method is used to estimate the structural parameters of the generalized model. Results show that adjustment to target ratios is not instantaneous. Results also show that there are differences in the patterns of ratio adjustment for firms in different industries with different sizes.]

This paper develops a model of security broker behavior under price uncertainty. The model examines the process of matching orders and the determinants of equilibrium brokerage commission rates. Institutional arrangements, search efficiency, execution costs, volume, risk, and the unit price of the security are shown to affect equilibrium brokerage commission rates. Some stylized facts of security brokerage are explained.

We propose a dynamic equilibrium model with stochastic interest rates in which agents hold heterogeneous valuations for the same asset and take on positions against each other. The model shows that interest rate uncertainty and investor heterogeneity are key determinants of price dispersion. Higher search intensity reduces price dispersion, while raising volume, leading to a negative volatility-volume relation. The sensitivity of volatility to volume is high when liquidity is low, interest rate variations are high and investors’ valuations are more heterogeneous. Evidence supports our model’s predictions and shows that search frictions play an important role in driving the volatility-volume relation.

This paper develops a model to estimate the implied default probability of corporate bonds. The model explicitly considers the risk averse behavior of investors to provide a more precise framework for estimating the implied default probability. A Kalman filter method is used to estimate time-varying risk premium associated with the investor's risk aversion. The results of nonlinear regressions indicate that previous risk-neutrality models consistently overestimate the implied default rates of corporate bonds. The results also suggest that investors may have been adequately compensated for investment in risky bonds.

Using a dynamic selection model, we obtain consistent and unbiased estimates of risk and returns for infrequently traded bonds and conduct the first comprehensive asset pricing test of municipal bonds using the multifactor approach. Correction for sample selection and infrequent trading problems results in substantially higher beta estimates. Besides conventional risk factors, illiquidity and taxes are important for the pricing of municipal bonds. Importantly, bond returns contain a significant liquidity risk premium. Failing to account for sample selection bias leads to erroneous inference on the magnitude of systematic risk and substantial underestimation of risk premiums.

This paper analyzes the adjustment processes of financial ratios in the presence of costly adjustment and information uncertainty. The paper proposes a generalized partial adjustment-adaptive expectations model to characterize dynamic financial ratio adjustment processes. The proposed model incorporates the persistence of changes in industry averages into the process of financial ratio adjustment. The Gauss-Newton nonlinear regression method is used to estimate the structural parameters of the generalized model. Results show that adjustment to target ratios is not instantaneous. Results also show that there are differences in the patterns of ratio adjustment for firms in different industries with different sizes.

The authors propose a rational signaling model to investgate the information content of dividends. The model provides a direct test of the relation between unexpected dividend and earnings changes. In identifying the component of unexpected dividend changes, the authors suggest an expectations framework that accounts for the process of dividend adjustment to firms' permanent earnings. A nonlinear regression method is used to estimate the model and test the rationality and signaling hypotheses. Consistent with Paul Healy and Krishna Palepu's (1988) findings, the results show that dividends reflect past, current, and future earnings information.