This paper proposes a method for generating unbiased predictors of downside and tail volatility for individual mutual funds, using theoretical market state prices and applying these to fund payoffs. The method is validated as a predictor of market downside and tail volatility. The Fund Volatility Index-Lower Partial Moment (FVX–) is then proposed as a forward-looking hedge of downside volatility for funds, calibrated and assessed on a database of 13,202 individual funds. The method proves to be unbiased with high forecast accuracy and is capable of capturing individual fund skewness.