HARTFORD SCHRODERS Variance
| HOOSX Fund | | | USD 28.15 -0.17 -0.60% |
The Variance lookup presents technical context for Hartford Schroders Small and related instruments. Coverage varies by data normalization and availability; see
Equity Screeners for broader screening context.
Risk vs Return Analysis provides context for diversified portfolio design. Such insight adds context to allocation decisions within a diversified portfolio. The allocation includes a position in Hartford Schroders Small 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 main economic indicators.
Hartford Schroders Small has current Variance of 5.16. 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 |
| = | 5.16 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N | = | Number of points for the period |
HARTFORD SCHRODERS Variance Peers Comparison
HARTFORD Variance Relative To Other Indicators
Hartford Schroders Small is rated
fourth in variance among similar funds. It is currently under evaluation in maximum drawdown among similar funds reporting about
3.69 of Maximum Drawdown per Variance. At
3.69 , Hartford Schroders Small'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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