Black and Litterman showed that a Bayesian adjustment to expected-return forecasts makes them more suitable for use in portfolio management. A new adjustment applies directly to return-forecasting models rather than to the forecasts they produce. This approach eliminates the need for an arbitrary adjustment when forecasts are inserted into a portfolio-choice model and integrates the return-forecasting and portfolio-choice steps of quantitative investment management.