Fidelity Preferred Standard Deviation

FPFD Etf  USD 21.78  -0.08  -0.37%   
Fidelity Preferred standard deviation lookup summarizes this and related technical indicators for Fidelity Preferred Securities. Coverage depends on data availability and normalization; Equity Screeners provides additional screening context. Use Investing Opportunities to better understand diversified portfolio construction. Clearer exposure analysis supports long-term portfolio balance. This includes a position in Fidelity Preferred Securities in the portfolio view. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in price.
Fidelity Preferred Securities has current Standard Deviation of 0.1511. The Standard Deviation is a measure of how spread out the prices or returns of an asset are on average. It is the most widely used risk indicator in the field of investing and finance. Standard Deviation is commonly used to measure confidence in statistical conclusions regarding certain equity instruments or portfolios of equities.

Standard Deviation

=

SQRT(V)

 = 
0.1511
SQRT = Square root notation
V =   Variance of Fidelity Preferred returns

Fidelity Preferred Standard Deviation Peers Comparison

Fidelity Standard Deviation Relative To Other Indicators

Fidelity Preferred Securities is rated below average for standard deviation among peer ETFs. It is currently under evaluation for maximum drawdown among peer ETFs with a Maximum Drawdown-to-Standard Deviation ratio near 5.77 . The Maximum Drawdown to Standard Deviation ratio for Fidelity Preferred Securities comes in at 5.77
Standard deviation is applied to the annual rate of return of an investment to measure the investment's volatility. Standard deviation is also known as historical volatility and is used by investors as a gauge for the amount of expected market volatility. A large standard deviation usually indicates that the data points are far from the mean and a small standard deviation indicates that they are clustered closely around the mean.
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