We study the use of stochastic discount factor (SDF) models in evaluating the investment performance of portfolio managers. By constructing artificial mutual funds with known levels of investment ability, we evaluate a large set of SDF models. We find that the measures of performance are not...

We study stochastic discount factor (SDF) models for evaluating investment performance. Constructing artificial funds with known levels of ability, we find that the measures of performance are not highly sensitive to the SDF model. Most of the models have a mild negative bias when performance is...

We study the use of stochastic discount factor (SDF) models in evaluating the investment performance of portfolio managers. By constructing artificial mutual funds with known levels of investment ability, we evaluate a large set of SDF models. We find that the measures of performance are not...

We study the use of stochastic discount factor (SDF) models in evaluating the investment performance of portfolio managers. By constructing artificial mutual funds with known levels of investment ability, we evaluate a large set of SDF models. We find that the measures of performance are not...

This paper provides a global asset pricing perspective on the debate over the relation between predetermined attributes of common stocks, such as ratios of price-to-book-value, cash-flow, earnings, and other variables to the future returns. Some argue that such variables may be used to find...

Mimicking portfolios have long been useful in asset pricing research. In most empirical applications, the portfolio weights are assumed to be fixed over time, while in theory they may be functions of the economic state. This paper derives and characterizes mimicking portfolios in the presence of...

Even though stock returns are not highly autocorrelated, there is a spurious regression bias in predictive regressions for stock returns related to the classic studies of Yule (1926) and Granger and Newbold (1974). Data mining for predictor variables interacts with spurious regression bias. The...

We develop tests of stochastic discount factor models and portfolio efficiency when there is conditioning information, in the form of a set of lagged instruments. In this setting a model identifies a portfolio that should be efficient with respect to the conditioning information. Our tests...