Pro-blend(r) Maximum Variance
| MNHIX Fund | | | USD 24.84 -0.01 -0.04% |
The Variance technical lookup provides context for Pro Blend Maximum Term and related instruments. Coverage varies by data normalization and availability; see
Equity Screeners for broader screening context.
Correlation Analysis provides context for diversified portfolio construction. Such insight adds context to allocation decisions within a diversified portfolio. This reflects a position in Pro Blend Maximum Term within the portfolio mix. 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 gross domestic product.
Pro Blend Maximum Term has current Variance of 0.5364. 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 |
| = | 0.5364 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N | = | Number of points for the period |
Pro-blend(r) Maximum Variance Peers Comparison
Pro-blend(r) Variance Relative To Other Indicators
Pro Blend Maximum Term is rated
below average. in variance among similar funds. It is currently under evaluation. in maximum drawdown among similar funds reporting about
5.60 of Maximum Drawdown per Variance. The ratio of Maximum Drawdown to Variance for Pro Blend Maximum Term is roughly
5.60 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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