Regressions of multiple-period changes in the log exchange rate on the deviation of the log exchange rate from its "fundamental value," display evidence that long-horizon changes in log nominal exchange rates contain an economically significant predictable component. To account for small-sample bias and size distortion in asymptotic tests, inference is drawn from bootstrap distributions generated under the null hypothesis that the log exchange rate is unpredictable. The bias-adjusted slope coefficients and R^2's increase with the forecast horizon, and the out-of-sample point predictions generally outperform the driftless random walk at the longer horizons.

This paper specifies the single-beta capital asset pricing model for the pricing of forward foreign exchange contracts from the point of view of a U.S. investor. Parametric specification of the betas as ARCH-like processes explicitly allows for time variation as well as sign variation of the risk premium in the forward foreign exchange market. I estimate the model jointly for four currencies, using a generalized method of moments procedure. The results show significant time variation for the betas and tests of the overidentifying restrictions are generally favorable to the model.

Abstrac t-This note empirically examines the issue of real interest rate equalization across countries. The equality of real interest rates is implied by two frequently employed concepts of equilibrium in international asset (capital) and commodity markets and imposes certain time series restrictions on ex post real interest rates. Statistical tests of these restrictions strongly reject the hypothesis that real interest rates have been equal across countries.

This paper draws on Robert F. Engle's autoregressive conditionally heteroskedastic modeling strategy to formulate a conditional capital asset pricing model with time-varying risk and expected returns. The model is estimated by generalized method of moments. A capital asset pricing model that allows mean excess returns to shift in January survives generalized method of moments specification tests for a number of omitted variables. However, a residual dividend yield component is found to remain in the excess returns of smaller firms. The authors find significant monthly and quarterly components in the risk premia and beta estimates.

Regressions of multiple-period changes in the log exchange rate on the deviation of the log exchange rate from its 'fundamental value' display evidence that long-horizon changes in log nominal exchange rates contain an economically significant predictable component. To account for small-sample bias and size distortion in asymptotic tests, inference is drawn from bootstrap distributions generated under the null hypothesis that the log exchange rate is unpredictable. The bias-adjusted slope coefficients and R[superscript]2's increase with the forecast horizon, and the out-of-sample point predictions generally outperform the driftless random walk at the longer horizons. Copyright 1995 by American Economic Association.

This paper demonstrates that negative serial correlation in long horizon stock returns is consistent with an equilibrium model of asset pricing. When investors display only a moderate desire to smooth their consumption, commonly used measures of mean reversion in stock prices calculated from historical returns data nearly always lie within a 60 percent confidence interval of the median of the Monte Carlo distributions implied by our equilibrium model. From this evidence, we conclude that the degree of serial correlation in the data could plausibly have been generated by our model.

The Euler equations derived from intertemporal asset pricing models, together with the unconditional moments of asset returns, imply a lower bound on the volatility of the intertemporal marginal rate of substitution. This paper develops and implements statistical tests of these lower bound restrictions. While the availability of short time series of consumption data often undermines the ability of these tests to discriminate among different utility functions, the authors find that the restrictions implied by a number of widely studied financial data sets continue to pose quite a challenge to the current generation of intertemporal asset pricing theories.

This paper draws on Engle's autoregressive conditionally heteroskedastic modeling strategy to formulate a conditional CAPM with time-varying risk and expected returns. The model is estimated by generalized method of moments. A CAPM that allows mean excess returns to shift in January survives generalized method of moments specification tests for a number of omitted variables. However, a residual dividend yield component is found to remain in the excess returns of smaller firms. We find significant monthly and quarterly components in the risk premia and beta estimates.