EXPECTED VOLATILITY,UNEXPECTED VOLATILITY,AND THE CROSS‐SECTION OF STOCK RETURNS

The existing literature finds conflicting results on the cross‐sectional relation between expected returns and idiosyncratic volatility. We contend that at the firm level, the sample correlation between unexpected returns and expected idiosyncratic volatility can cloud the true relation between the expected return and expected idiosyncratic volatility. We show strong evidence that unexpected idiosyncratic volatility is positively related to unexpected returns. Using unexpected idiosyncratic volatility to control for unexpected returns, we find expected idiosyncratic volatility to be significantly and positively related to expected returns. This result holds after controlling for various firm characteristics, and it is robust across different sample periods.     

PRESIDENTIAL ELECTION UNCERTAINTY AND COMMON STOCK RETURNS IN THE UNITED STATES

There is substantial evidence on the influence of political outcomes on the business cycle and stock market. We further hypothesize that uncertainty about the outcome of a U.S. presidential election should be reflected in pre‐election common stock returns. Prior research pools returns based on the party of the winning candidate, assuming that the outcome of the election is known a priori. We use candidate preference (i.e., polling) data to construct a measure of election uncertainty. We find that if the election does not have a candidate with a dominant lead, stock market volatility (risk) and average returns rise.     

THE RELATIONSHIP BETWEEN THE VARIABILITY OF INFLATION AND STOCK RETURNS: AN EMPIRICAL INVESTIGATION

Several researchers find a negative correlation between the rate of inflation and stock returns. This phenomenon may be explained by the variability hypothesis, which posits that the negative correlation is caused by the combination of a positive relation between the rate of inflation and the variability of inflation and a negative relation between the variability of inflation and stock returns. An autoregressive conditional heteroscedastic model of inflation is used to measure the variability of inflation. Empirical results do not support the ability of the variability hypothesis to explain the negative correlation between stock returns and inflation.     

EVIDENCE ON THE EXISTENCE OF COMMON STOCK INFLATION HEDGES

Previous researchers have been unable to identify (on an ex ante basis) inflation hedge portfolios consisting of common stocks. This study demonstrates a procedure for forming common stock portfolios that offer returns that vary positively with unexpected inflation. The strategy could have been used to hedge against purchasing power risk during the 1974–1979 period. In addition to its practical value, the research has important implications for capital asset pricing theory since the existence of hedge portfolios is a necessary condition for the superiority of the multi-period CAPM over the single-period models.     

STOCK MARKET SIGNALS OF CHANGES IN EXPECTED INFLATION

This paper examines the relationship between stock returns and several measures of expected inflation. The proxies include the inflation forecasts extracted from U.S. Treasury bill yields, the mean forecast of surveys conducted by the Institute for Social Research, and the predictions from a rolling time-series model. Unlike recent studies, there does not appear to be a significant negative relationship between stock returns and expected inflation at the beginning of the period. The results are consistent with the hypothesis that stock returns signal changes in expected inflation.