Knowledge that Transforms

This paper investigates the reported relative mispricing of primes and scores to the underlying stock. Given transaction costs, we establish arbitrage-based bounds on prime and score prices. We then develop a new nonparametric statistical technique to test whether prime and score prices violate these bounds. We find that prime and score prices do exceed stock prices, and often by a considerable amount. We demonstrate that this increased value is most likely due to the score's ability to save on the costs of dynamic hedging. We also show how short sale and trust size constraints impede the ability to arbitrage price disparities.

This paper investigates the impact of capital flow restrictions on the pricing of securities, on the optimal portfolio composition for investors of different nationalities, and on their welfare. Under capital flow controls, the equilibrium price of a security is determined jointly by its international and national risk premiums, and investors acquire nationality-specific portfolios along with a market-wide proxy for the world market portfolio. Removal of investment barriers generally leads to an increase in the aggregate market value of the affected securities, and all investors favor a move toward market integration. Introduction of different types of index funds in the world market generally increases world market integration and investor welfare.

This paper investigates the term structure of interest rates in a multiperiod production and exchange economy with incomplete information. Unable to observe their stochastic investment opportunities, investors engage in dynamic Bayesian inference. This results in the endogenous identification of a more complex production function which generates a richer term structure, resembling the one that actual market prices imply. In addition, this paper introduces a characteristic function of the term structure and demonstrates that, in contrast with a fully observable economy, the widely investigated expectations hypothesis holds true only if interest rates are nonstochastic.

Regressions of security returns on treasury bill rates provide insight about the behavior of risk in rational asset pricing models. The information in one-month bill rates implies time variation in the conditional covariances of portfolios of stocks and fixed-income securities with benchmark pricing variables, over extended samples and within five-year subperiods. There is evidence of changes in conditional “betas” associated with interest rates. Consumption and stock market data are examined as proxies for marginal utility, in a general framework for asset pricing with time-varying conditional covariances.

This paper presents an aging analysis of 741 high yield bonds and finds default, exchange, and call percentages substantially higher than reported in earlier studies. By December 31, 1988, cumulative defaults are 34 percent for bonds issued in 1977 and 1978 and range from 19 to 27 percent for issue years 1979–1983 and from 3 to 9 percent for issue years 1984–1986. Exchanges are also a significant factor although they often are followed by default. Moreover, a significant percentage of high yield debt, 26–47 percent for 1977–1982, has been called. By December 31, 1988, approximately one third of the bonds issued in 1977–1982 has defaulted or been exchanged, and an additional one third had been called. On average, only 28 percent of these issues are still outstanding. There is no evidence that early results for more recent issue years differ markedly from issue years 1977 to 1982.

This paper attempts to determine whether the fluctuations of conditional first and second moments—which are observed for many assets—are consistent with the Sharpe-Lintner-Mossin capital asset pricing model. We test the mean-variance model under several different assumptions about the time variation of conditional second moments of returns, using weekly data from July 1974 to December 1986, that include returns on a portfolio composed of dollar, Deutsche mark, sterling, and Swiss franc assets, together with the U.S. stock market. The results indicate that estimated conditional variances cannot explain the observed time variation of risk premia.