Widely used databases report stock returns that are measured at the monthly horizon, while investors participate in the markets over multiple months. Most academic studies report conditional or unconditional arithmetic means of the monthly returns. We describe the odd trading strategy...

We consider retail prices and efficiency gains from wholesale trading in both regulated and competitive power markets. Wholesale power trading facilitates risk sharing, so that the minimally-required retail price decreases for all producers. A portion of the efficiency gains can be captured by...

The percentage of U.S. equity mutual funds that outperform the SPY ETF over the last 30 years decreases substantially as the horizon over which returns are measured is increased. Further, some funds with positive monthly alpha estimates have negative long-horizon abnormal returns. These results...

Can technical analysis be used to forecast price changes in fianncial markets Until 1992, that question was answered with a resounding "no." This paper presents additional empirical evidence that simple technical rules do possess statistically different forecast power. However, the returns do...

We analyze the empirical power and specification of test statistics designed to detect abnormal bond returns in corporate event studies, using monthly and daily data. We find that test statistics based on frequently used methods of calculating abnormal monthly bond returns are biased. Most...

Microstructure noise in security prices biases the results of empirical asset pricing specifications, particularly when security-level explanatory variables are cross-sectionally correlated with the amount of noise. We focus on tests of whether measures of illiquidity, which are likely to be...

Many stock exchanges choose to reduce market transparency by allowing traders to hide some or all of their order size. We study the costs and benefits of order exposure and test hypotheses regarding hidden order usage using a sample of Euronext-Paris stocks, where hidden orders represent 44% of...