Knowledge that Transforms

This paper tests a generalized version of the expectations hypothesis in the market for commercial paper. Our main data set, which is new to the literature, consists of daily yield indexes constructed from the market yields for nearly all commercial paper issued by US corporations between 1998 and 2004. We show that term premia for commercial paper often rise dramatically at year-end. However, once we control for these year-end effects, we find considerable support for the generalized expectations hypothesis in the market for commercial paper.

We investigate cross-country determinants of private credit, using new data on legal creditor rights and private and public credit registries in 129 countries. Both creditor protection through the legal system and information-sharing institutions are associated with higher ratios of private credit to gross domestic product, but the former is relatively more important in the richer countries. An analysis of legal reforms shows that credit rises after improvements in creditor rights and in information sharing. Creditor rights are remarkably stable over time, contrary to the hypothesis that legal rules are converging. Finally, legal origins are an important determinant of both creditor rights and information-sharing institutions. The analysis suggests that public credit registries, which are primarily a feature of French civil law countries, benefit private credit markets in developing countries.

Existing term structure models of defaultable bonds have often underestimated corporate bond spreads. A potential problem is that investors’ taxes are ignored in these models. We propose a pricing model that accounts for stochastic default probability and differential tax treatments for discount and premium bonds. By estimating parameters directly from bond data, we obtain significantly positive estimates for the income tax rate of a marginal corporate bond investor after 1986. This contrasts sharply with the previous finding that the implied tax rates for Treasury bonds are close to zero. Results show that taxes explain a substantial portion of corporate bond spreads.

We consider an imperfectly competitive loan market in which a local relationship lender has an information advantage vis-à-vis distant transaction lenders. Competitive pressure from the transaction lenders prevents the local lender from extracting the full surplus from projects. As a result, the local lender inefficiently rejects marginally profitable projects. Collateral mitigates the inefficiency by increasing the local lender's payoff from precisely those marginally profitable projects that she inefficiently rejects. The model predicts that, controlling for observable borrower risk, collateralized loans are more likely to default ex post, which is consistent with the empirical evidence. The model also predicts that borrowers for whom local lenders have a relatively smaller information advantage face higher collateral requirements, and that technological innovations that narrow the information advantage of local lenders, such as small business credit scoring, lead to a greater use of collateral in lending relationships.

This paper develops and tests a model of how country characteristics, such as legal protections for minority investors and the level of economic and financial development, influence firms’ costs and benefits in implementing measures to improve their own governance and transparency. We find that country characteristics explain much more of the variance in governance ratings (ranging from 39% to 73%) than observable firm characteristics (ranging from 4% to 22%). Further, we show that firm characteristics explain almost none of the variation in governance ratings in less-developed countries and that access to global capital markets sharpens firms’ incentives for better governance.

This paper documents average acquisition discounts for stand-alone private firms and subsidiaries of other firms (unlisted targets) of 15% to 30% relative to acquisition multiples for comparable publicly traded targets. My results are strongly consistent with the notion that sale prices for unlisted targets are affected by both the need for, and availability of, the liquidity provided by the buyer. Corporate parents are significantly liquidity-constrained prior to the sale of a subsidiary, particularly when the subsidiary is being sold for cash. Furthermore, acquisition discounts are significantly greater when debt capital is relatively more expensive to obtain, and when the parent firm has below-market stock returns in the 12 months prior to the sale.

We extend the standard specification of the market price of risk for affine yield models, and apply it to U.S. Treasury data. Our specification often provides better fit, sometimes with very high statistical significance. The improved fit comes from the time-series rather than cross-sectional features of the yield curve. We derive conditions under which our specification does not admit arbitrage opportunities. The extension has extremely strong statistical significance for affine yield models with multiple square-root type variables. Although we focus on affine yield models, our specification can be used with other asset pricing models as well.

We investigate the link between a firm's leverage and the characteristics of its suppliers and customers. Specifically, we examine whether firms use decreased leverage as a commitment mechanism to induce suppliers/customers to undertake relationship-specific investments. We find that the firm's leverage is negatively related to the R&D intensities of its suppliers and customers. We also find lower debt levels for firms operating in industries in which strategic alliances and joint ventures with firms in supplier and customer industries are more prevalent. Consistent with a bargaining role for debt, we find a positive relation between firm debt level and the degree of concentration in supplier/customer industries.

We provide maximum likelihood estimators of term structures of conditional probabilities of corporate default, incorporating the dynamics of firm-specific and macroeconomic covariates. For US Industrial firms, based on over 390,000 firm-months of data spanning 1980 to 2004, the term structure of conditional future default probabilities depends on a firm's distance to default (a volatility-adjusted measure of leverage), on the firm's trailing stock return, on trailing S&P 500 returns, and on US interest rates. The out-of-sample predictive performance of the model is an improvement over that of other available models.

The representative-agent Lucas model stresses aggregate risk and hence does not allow us to study the impact of agents’ heterogeneity on the dynamics of equilibrium trading volume. In this paper, we investigate under what conditions non-informational heterogeneity, i.e., differences in preferences and endowments, leads to nontrivial trading volume in equilibrium. We present a non-informational no-trade theorem that provides necessary and sufficient conditions for zero equilibrium trading volume in a continuous-time Lucas market model with heterogeneous agents, multiple goods, and multiple securities. We explain in detail how no-trade equilibria are related to autarky equilibria, portfolio autarky equilibria, and peculiar financial market equilibria, which play an important role in the literature on international risk sharing.