INFLATION PROTECTION Variance
| PIFPX Fund | | | USD 7.28 -0.02 -0.27% |
This technical indicator view for Variance organizes signals for Inflation Protection Fund and comparable instruments. Coverage depends on data availability and normalization;
Equity Screeners provides additional screening context. Use
Your Equity Center to better understand diversified portfolio construction. Such insight adds context to allocation decisions within a diversified portfolio. This suggests a position in Inflation Protection Fund across the allocation. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as
signals in inflation.
Inflation Protection Fund has current Variance of 0.0302. Variance is another measure of security risk that shows the amount of dispersion of equity returns around their mean value. Variance is calculated as the average squared deviations from the mean. Evaluating a set of investment alternatives one can use variance to help determine the volatility when purchasing a specific security. Similar to Standard Deviation, the variance is a measure of how far a set of numbers is spread out around its mean.
Variance | = | SUM(RET DEV)2N |
| = | 0.0302 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N | = | Number of points for the period |
INFLATION PROTECTION Variance Peers Comparison
INFLATION Variance Relative To Other Indicators
Inflation Protection Fund ranks first in variance among similar funds. It is currently under evaluation in maximum drawdown among similar funds reporting about
22.87 of Maximum Drawdown per Variance. At
22.87 , Inflation Protection Fund's Maximum Drawdown-to-Variance multiple reflects the spread between these metrics
Variance is also a measure of stock volatility and can help determine the risk an investor might take on when purchasing a specific security. A relatively big variance indicates that the daily prices or returns are far from the mean and a small variance indicates that they are located around the mean.
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