IShares Emerging Variance
| EMIF Etf | | | USD 27.95 -0.69 -2.41% |
The Variance technical lookup provides context for iShares Emerging Markets and related instruments. Coverage varies by data normalization and availability; see
Equity Screeners for broader screening context.
Investing Opportunities provides context for diversified portfolio construction. Such insight adds context to allocation decisions within a diversified portfolio. This reflects a position in iShares Emerging Markets within the portfolio mix. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as
signals in gross domestic product.
iShares Emerging Markets has current Variance of 1.29. 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 |
| = | 1.29 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N | = | Number of points for the period |
IShares Emerging Variance Peers Comparison
IShares Variance Relative To Other Indicators
iShares Emerging Markets ranks
fifth among etfs in variance relative to comparable ETFs. It is currently under evaluation in maximum drawdown relative to comparable ETFs at roughly
5.01 Maximum Drawdown per unit of Variance. iShares Emerging Markets carries a
5.01 x Maximum Drawdown-to-Variance ratio
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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