Low Volatility Anomaly
The Low Volatility Anomaly is an empirical finding that stocks with lower realized price volatility tend to deliver higher risk-adjusted returns than more volatile stocks, challenging the traditional view that higher risk yields higher expected return.
Example: An investment team ranks stocks by trailing 12-month volatility and selects the bottom quartile to form a low-volatility sleeve, rebalancing quarterly.
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