The purpose of this paper is to characterize the changes in risk premium in the 1980s. A five-variable vector autoregressive model (VAR) is constructed to calculate a risk premium series in the foreign exchange market. The risk premium series is volatile and time-varying. The hypothesis of no risk premium is strongly rejected for the entire sample and each of the two subsamples considered. Various tests using the constructed risk premium series suggest that a risk premium existed but it was neither constant nor stable over subsamples and that its volatility was considerably reduced after October 1982.

Empirical results based on two different statistical approaches lead to several conclusions about the role of time-varying asset risk assessments in accounting for what, on the basis of many earlier studies, appear to be time-varying differentials in ex ante asset returns. First, both methods indicate sizeable changes over time in variance-covariance structures conditional on past information. These changing conditional variance-covariance structures in turn imply sizeable changes over time in asset demand behavior, and hence in the market-clearing equilibrium structure of ex ante asset returns. Second, at least for some values of the parameter indicating how rapidly investors discount the information contained in past observations, the implied ex ante excess returns bear non-negligible correlation to observed ex post excess returns on either debt or equity. The percentage of the variation of ex post excess returns explained by the implied time-varying ex ante excess returns is comparable to values to which previous researchers have interpreted as warranting rejection of the hypothesis that risk premia are constant over time. Third, although for long-term debt the two statistical methods used here give sharply different answers to the question of how much relevance market participants associate with past observations in assessing future risks, for equities both methods agree in indicating extremely rapid discounting of more distant observations -- so much so that in neither case do outcomes more than a year in the past matter much at all. While the paper's other conclusions are plausible enough, the finding of such an extremely short "memory" on the part of equity investors suggests that the standard representation of equity risk by a single normally distributed disturbance is overly restrictive

Single factor asset pricing models face two major hurdles: the problematic time-series properties of the ex ante market risk premium and the inability of the risk measure to account for a substantial degree of the cross-sectional variation of expected excess returns. We provide an explanation for the first failure using the following intuition: if investors know that the asset returns have conditional skewness given the information known today, the expected excess returns should include rewards for accepting skewness. We formalize this intuition with an asset pricing model which incorporates conditional skewness. We decompose the expected excess returns into components due to conditional variance and skewness. Our results show that conditional skewness is important and, when combined with the economy-wide reward for skewness, helps explain the time-variation of the ex ante market risk premiums. Conditional skewness has greater success in explaining the ex ante risk premium for the world portfolio than for the U.S. portfolio.

Are foreign exchange markets efficient? Are fundamentals important for predicting exchange rate movements? What is the signal-to-ratio of high frequency exchange rate changes? Is it possible to define a measure of the equilibrium exchange rate that is useful from an assessment perspective? The book is a selective survey of current thinking on key topics in exchange rate economics, supplemented throughout by new empirical evidence. The focus is on the use of advanced econometric tools to find answers to these and other questions which are important to practitioners, policy-makers and academic economists. In addition, the book addresses more technical econometric considerations such as the importance of the choice between single-equation and system-wide approaches to modelling the exchange rate, and the reduced form versus structural equation problems. Readers will gain both a comprehensive overview of the way macroeconomists approach exchange rate modelling, and an understanding of how advanced techniques can help them explain and predict the behavior of this crucial economic variable.