Nippon Suisan Variance
| NISUY Pink Sheet | | | USD 86.80 0.00 0.00% |
The Variance for Nippon Suisan is detailed below with current readings, historical data points, and sector comparisons. Each recalculation incorporates the most recent trading session's price and volume data.
Nippon Suisan Volatility together with
Nippon Suisan Price History extends the research frame for Nippon Suisan.
Current Variance Value
Nippon Suisan's Variance of 9.4 reflects elevated price variability. This places Nippon Suisan toward the higher end of the volatility range for Pink Sheet.
Variance | = | SUM(RET DEV)2N |
| = | 9.4 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N | = | Number of points for the period |
Variance Peers Comparison
Among sector peers, Nippon Suisan's Variance of 9.4 is below the 57.44 group average. The range runs from 0.1694 (Premier Foods plc) to 488.37 (Strauss Group). Nippon Suisan has exhibited less price dispersion than the peer average over the measured period.
Variance Relative To Other Indicators
The chart below plots Variance against Maximum Drawdown for Nippon Suisan and its peers. Each point represents one equity — position along the horizontal axis shows 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.
Nippon Suisan's Maximum Drawdown of
27.80 runs about
2.96 times its Variance of
9.40 . This indicates Maximum Drawdown is significantly higher than Variance for Nippon Suisan.
Compare Nippon Suisan to PeersMethodology, Assumptions & Data Sources
The current Variance for Nippon Suisan is 9.4. Nippon Suisan's Variance is computed from historical closing prices over the selected time horizon, applying the indicator's defined mathematical transformation to raw price data. All inputs are based on exchange-reported closing prices, with adjustments for stock splits, dividends, and other corporate actions. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.
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