We compare the performance of time-series (TS) and cross-sectional (CS) strategies based on past returns. While CS strategies are zero-net investment long/short strategies, TS strategies take on a time-varying net-long investment in risky assets. For individual stocks, the difference between the...

To attenuate an inherent errors-in-variables bias, portfolios are widely employed for risk premium estimation; but portfolios might diversify away and thus mask relevant risk- or return-related features of individual assets. We propose a resolution that allows the use of individual assets while...

To attenuate an inherent errors-in-variables bias, portfolios are widely employed to test asset pricing models; but portfolios might mask relevant risk- or return-related features of individual assets. We propose an instrumental variables approach that allows the use of individual stocks as test...

We develop an instrumental variables methodology to obtain consistent estimates of risk premiums using individual stocks as test assets. Simulation evidence indicates that this methodology yields unbiased estimates of risk premiums and that the associated tests are well specified in small...

Expected long-term earnings growth rates are crucial inputs to valuation models and for cost of capital estimates. We analyze historical long-term growth rates across a broad cross-section of stocks using several operating performance indicators. We test whether growth persists, and whether it...