A clean quantitative framing is this: volatility targeting is a sizing tool, not a free Sharpe upgrade. Desk note: Most people hear "volatility targeting" and imagine a performance trick. In practice it is mostly a position-sizing rule that tries to keep portfolio risk from lurching around. Why investors care: That matters because unstable risk budgets usually create emotional decision-making long before they create return problems. $$ w_t = \frac{\sigma^{*}}{\hat{\sigma}_t} $$ Plain English: Target weight today is target volatility divided by estimated current volatility. Translate it into behavior: If a sleeve tied to $SPY doubles its realized volatility, the disciplined response is usually to cut exposure, not to rationalize the larger swings. Where people usually get tripped up: The common mistake is treating lower realized drawdown as proof that the signal improved. Often the signal stayed the same and the leverage changed. Keep this nearby on the next review: Write down the state variable you would monitor first if this thesis started to drift. The point is not to memorize the label. The point is to know what variable is actually doing the work.