The residual income valuation model relies on book value, current earnings, and future earnings estimates to explain firm value. It is important to acknowledge, however, that even if two firms have identical current or forecasted earnings figures in dollars and cents, these figures do not convey identical information about each firm's residual income earning potential because each firm's earnings process is unique. Characteristics of the firm affect the riskiness of its earnings stream (i.e. the size of the range of earnings possibilities) therefore, since investors have risk preferences, this riskiness should affect firm value. This study extends the existing literature by focusing on risks inherent to earnings and demonstrating that firm specific measures of earnings risk enhance the residual income model's ability to explain stock market prices. In so doing, this study also helps our quest to better understand how earnings and earnings risk factors create value in the eyes of investors. The firm specific earnings risk measures considered in this study are the variability of earnings expectations, exposure to interest rate fluctuations, geographical diversification, operational diversification, and operating leverage. Using a sample of more than twenty thousand firm-years over the 1984 to 2002 time period, the empirical analysis finds that the residual income model's ability to explain market prices improves significantly with the addition of risk measurement variables. Not surprisingly, the results confirm that greater risk leads to lower firm value. Interestingly, however, the model allows us to dissect the individual effects of risk on the value of earnings and forecast levels, and the data suggests that while investors consistently price earnings as though they are risk averse, they show signs of risk seeking behavior with regard to forecasts.