Amprius Technologies Semi Variance
| AMPX Stock | | | USD 16.70 0.59 3.66% |
Semi-variance provides a good measure of downside volatility for equity or a portfolio. It is similar to variance, but it only looks at periods where the returns are less than the target or average level. Below is Amprius Technologies's current Semi Variance with peer comparisons and related risk metrics.
Current Semi Variance Value
Amprius Technologies's Semi Variance of 50.2 reflects elevated price variability. This places Amprius Technologies toward the higher end of the volatility range for Stock.
Semi Variance | = | SUM(RET DEV)2N(ZERO) |
| = | 50.2 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual return deviation over selected period |
| N(ZERO) | = | Number of points with returns less than zero |
Semi Variance Peers Comparison
Relative to peers, Amprius Technologies's Semi Variance is above the group average of 14.89. Peer readings range from 1.85 (Danaos) to 35.42 (Insperity), reflecting wide dispersion across the sector. Amprius Technologies has exhibited greater price dispersion than the peer average over the measured period.
Semi Variance Relative To Other Indicators
The chart below plots Semi Variance against Maximum Drawdown for Amprius Technologies and its peers. Each point represents one equity — position along the horizontal axis shows Semi Variance while the vertical axis shows Maximum Drawdown. Equities that cluster in different quadrants carry distinct risk-return profiles. Use the dropdowns to swap in other indicators for either axis.
Amprius Technologies's Maximum Drawdown of
46.05 runs about
0.92 times its Semi Variance of
50.20 . The two measures are closely aligned in magnitude for Amprius Technologies. At
1.09 , Amprius Technologies's Semi Variance-to-Maximum Drawdown multiple reflects the spread between these metrics
Compare Amprius Technologies to PeersMethodology, Assumptions & Data Sources
Amprius Technologies has a current Semi Variance reading of 50.2. This Semi Variance reading for Amprius Technologies results from applying the indicator's calculation rules to price and volume data over the selected window. The underlying data comes from exchange-reported daily closes with corporate action adjustments applied where relevant. The output reflects the selected calculation window — changing the horizon will produce different readings. This stock metric is provided for analytical reference.
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