Emerson Radio Variance
| MSN Stock | | | USD 0.38 -0.0018 -0.47% |
This technical indicator view for Variance organizes signals for Emerson Radio and comparable instruments. Coverage varies by data normalization and availability; see
Equity Screeners for broader screening context. Emerson Radio has a market cap of 7.98 M, operating margin of -43.68%, ROE of -24.67%. Review
Correlation Analysis for broader portfolio context. This suggests a position in Emerson Radio inside the allocation mix. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in main economic indicators.
To understand the process of investing in Emerson Stock, visit our
How to Invest in Emerson Radio guide.
Emerson Radio has current Variance of 17.66. 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 |
| = | 17.66 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N | = | Number of points for the period |
Emerson Radio Variance Peers Comparison
Emerson Variance Relative To Other Indicators
Emerson Radio is rated
below average in variance compared to key competitors. It is currently under evaluation in maximum drawdown compared to key competitors producing
1.37 in Maximum Drawdown for each unit of Variance. The spread between Maximum Drawdown and Variance for Emerson Radio sits at
1.37 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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