ProFunds-Large Cap Variance
| LGPSX Fund | | | USD 39.77 0.03 0.08% |
The Variance lookup presents technical context for Profunds Large Cap Growth and related instruments. Coverage varies by data normalization and availability; see
Equity Screeners for broader screening context.
Correlation Analysis provides context for diversified portfolio design. Such insight adds context to allocation decisions within a diversified portfolio. The allocation includes a position in Profunds Large Cap Growth 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 various price indices.
Profunds Large Cap Growth has current Variance of 1.12. 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 |
| = | 1.12 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N | = | Number of points for the period |
ProFunds-Large Cap Variance Peers Comparison
ProFunds-Large Variance Relative To Other Indicators
Profunds Large Cap Growth ranks first in variance among similar funds. It is currently under evaluation in maximum drawdown among similar funds reporting about
5.26 of Maximum Drawdown per Variance. At
5.26 , Profunds Large Cap Growth'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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