The correlation-weighted HS approach adjusts the return observations by multiplying each return by the current correlation divided by the historical correlation.

The volatility-weighted HS approach adjusts returns upward when the current volatility is below the long-term average volatility.

The age-weighted HS approach assumes that the value of the information contained in a return observation declines in a linear manner starting from the date it is first observed.