Siriuspoint Standard Deviation

SPNT Stock  USD 23.50  0.22  0.95%   
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. Below is Siriuspoint's current Standard Deviation with peer comparisons and related risk metrics.

Current Standard Deviation Value

Siriuspoint's Standard Deviation of 1.84 reflects moderate price variability. This places Siriuspoint within the typical volatility range for Stock.

Standard Deviation

=

SQRT(V)

 = 
1.84
SQRT = Square root notation
V =   Variance of Siriuspoint returns

Standard Deviation Peers Comparison

Relative to peers, Siriuspoint's Standard Deviation is below the group average of 2.46. Peer readings range from 1.36 (Trustmark) to 7.16 (Burford Capital), reflecting wide dispersion across the sector. Siriuspoint has exhibited less price dispersion than the peer average over the measured period.

Standard Deviation Relative To Other Indicators

The chart below plots Standard Deviation against Maximum Drawdown for Siriuspoint and its peers. Each point represents one equity — position along the horizontal axis shows Standard Deviation while the vertical axis shows Maximum Drawdown. Equities that cluster in different quadrants carry distinct risk-return profiles. Use the dropdowns to swap in other indicators for either axis.
Comparing Standard Deviation ( 1.84 ) to Maximum Drawdown ( 10.26 ) for Siriuspoint yields a 5.58 multiple. This indicates Maximum Drawdown substantially exceeds Standard Deviation for Siriuspoint.
Compare Siriuspoint to Peers

Methodology, Assumptions & Data Sources

The current Standard Deviation for Siriuspoint is 1.84. The Standard Deviation for Siriuspoint is produced by transforming raw price history into a standardized measure according to the indicator's defined methodology. Price data is sourced from standardized end-of-day feeds across supported exchanges, normalized for corporate actions. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.

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