The capital asset pricing model implies that the market portfolio is efficient and expected returns are linearly related to betas. Many do not view these implications as separate, since either implies the other, but the authors demonstrate that either can hold nearly perfectly while the other fails grossly. If the index portfolio is inefficient, then the coefficient and R[squared] from an ordinary least squares regression of expected returns on betas can equal essentially any values and bear no relation to the index portfolio's mean-variance location. That location does determine the outcome of a mean-beta regression fitted by generalized least squares.

We find round number clustering in orders submitted by investors in Israeli IPO auctions. Explanations offered for price clustering, such as dealer collusion or implicit agreement to simplify negotiations, cannot explain price clustering in this market. Therefore, this is direct evidence that investors prefer round numbers.

Using a unique database of aggregate daily flows to equity mutual funds in Israel, we find strong support for the “temporary price pressure hypothesis” regarding mutual fund flows: Mutual fund flows create temporary price pressure that is subsequently corrected. We find that flows are positively autocorrelated, and are correlated with market returns ( R 2 of 20%). Our main finding is that approximately one-half of the price change is reversed within 10 trading days. This support for the “temporary price pressure hypothesis” complements microstructure research concerning price impact and price noise in stocks by indicating price noise at the aggregate market level.

We investigate a proxy for monthly shifts between bond funds and equity funds in the USA: aggregate net exchanges of equity funds. This measure (which is negatively related to changes in VIX) is positively contemporaneously correlated with aggregate stock market excess returns: One standard deviation of net exchanges is related to 1.95% of market excess return. Our main new finding is that 85% (all) of the contemporaneous relation is reversed within four (ten) months. The effect is stronger in smaller stocks and in growth stocks. These findings support the notion of “noise” in aggregate market prices induced by investor sentiment.

[A Bayesian approach is used to investigate a sample's information about a portfolio's degree of inefficiency. With standard diffuse priors, posterior distributions for measures of portfolio inefficiency can concentrate well away from values consistent with efficiency, even when the portfolio is exactly efficient in the sample. The data indicate that the NYSE-AMEX market portfolio is rather inefficient in the presence of a riskless asset, although this conclusion is justified only after an analysis using informative priors. Including a riskless asset significantly reduces any sample's ability to produce posterior distributions supporting small degrees of inefficiency.]

[The incorporation of diverse information into asset prices is empirically examined in an actual securities market with multiple rounds of trade. Using prices of Israeli index and nominal bonds of equal maturity, we calculate implied expectations of inflation that has already occurred but for which the official statistic has not yet been announced. Learning is defined as the convergence of these expectations to the actual level of inflation in the period after the end of the month but before the announcement of the official statistic. We find that the variance of the inflation expectation errors decreases with trading days in this period. The decline in the variance suggests that investors learn, by repeatedly observing prices, about the distribution of other investors' information. We also find a positive relation between the dispersion of relative price changes and the size of the inflation-expectation errors on the first round of trade. The correlation diminishes as investors learn about the distribution of inflation information in the economy.]

The incorporation of diverse information into asset prices is empirically examined in an actual securities market with multiple rounds of trade. Using prices of Israeli index and nominal bonds of equal maturity, we calculate implied expectations of inflation that has already occurred but for which the official statistic has not yet been announced. Learning is defined as the convergence of these expectations to the actual level of inflation in the period after the end of the month but before the announcement of the official statistic. We find that the variance of the inflation expectation errors decreases with trading days in this period. The decline in the variance suggests that investors learn, by repeatedly observing prices, about the distribution of other investors' information. We also find a positive relation between the dispersion of relative price changes and the size of the inflation‐expectation errors on the first round of trade. The correlation diminishes as investors learn about the distribution of inflation information in the economy.

The authors develop a method of measuring ex ante real interest rates using prices of index and nominal bonds. Employing this method and newly available data, they directly test the Fisher hypothesis that the real rate of interest is independent of inflation expectations. The authors find a negative correlation between ex ante real interest rates and expected inflation. This contradicts the Fisher hypothesis but is consistent with the theories of Robert A. Mundell and James Tobin, Michael R. Darby and Martin Feldstein, and Rene Stulz. The authors also find that nominal interest rates include an inflation risk premium that is positively related to a proxy for inflation uncertainty.

We develop a method of measuring ex-ante real interest rates using prices of index and nominal bonds. Employing this method and newly available data, we directly test the Fisher hypothesis that the real rate of interest is independent of inflation expectations. We find a negative correlation between ex-ante real interest rates and expected inflation. This contradicts the Fisher hypothesis but is consistent with the theories of Mundell and Tobin, Darby and Feldstein, and Stulz. We also find that nominal interest rates include an inflation risk premium that is positively related to a proxy for inflation uncertainty.

We develop a method of measuring ex‐ante real interest rates using prices of index and nominal bonds. Employing this method and newly available data, we directly test the Fisher hypothesis that the real rate of interest is independent of inflation expectations. We find a negative correlation between ex‐ante real interest rates and expected inflation. This contradicts the Fisher hypothesis but is consistent with the theories of Mundell and Tobin, Darby and Feldstein, and Stulz. We also find that nominal interest rates include an inflation risk premium that is positively related to a proxy for inflation uncertainty.