SSgA Correlations

Etfs . USA . 
Etf . SSgA
The correlation of SSgA is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
  
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in population.

Related Correlations Analysis

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Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.
High positive correlations   
JPM
+ 0.86
CRM
CRM
+ 0.81
T
XOM
+ 0.73
META
JPM
+ 0.7
F
XOM
+ 0.65
CRM
CRM
+ 0.64
META
  
High negative correlations   
MRK
- 0.91
CRM
MRK
- 0.83
JPM
MRK
- 0.79
T
JPM
- 0.6
A
XOM
- 0.56
MRK
MRK
- 0.53
META

SSgA Competition Risk-Adjusted Indicators

There is a big difference between SSgA Etf performing well and SSgA ETF doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze SSgA's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.
Mean DeviationJensen AlphaSortino RatioTreynor RatioSemi DeviationExpected ShortfallPotential UpsideValue @RiskMaximum Drawdown
META  1.07  0.07  0.02  0.23  1.41 
(1.14)
 2.62 
(3.15)
 8.02 
MSFT  0.90 (0.04)(0.05) 0.07  1.50 
(0.86)
 2.09 
(1.85)
 8.19 
UBER  1.61 (0.11)(0.04) 0.02  2.32 
(1.70)
 2.69 
(2.53)
 20.10 
F  1.42 (0.15)(0.04) 0.03  2.23 
(1.39)
 2.53 
(2.90)
 11.21 
T  0.92  0.26  0.12 (7.83) 0.86 
(1.06)
 2.56 
(1.72)
 6.47 
A  1.17 (0.09) 0.00 (0.06) 0.00 
 0.00 
 2.71 
(2.42)
 9.02 
CRM  1.31  0.23  0.18  0.34  1.08 
(1.53)
 3.18 
(1.91)
 9.98 
JPM  1.12 (0.04) 0.05  0.11  1.38 
(1.23)
 2.05 
(2.00)
 15.87 
MRK  0.91 (0.24) 0.00 (0.86) 0.00 
 0.00 
 2.00 
(2.13)
 4.89 
XOM  1.00 (0.03)(0.07) 0.06  1.31 
(1.04)
 2.10 
(2.09)
 5.74 

SSgA Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with SSgA etf to make a market-neutral strategy. Peer analysis of SSgA could also be used in its relative valuation, which is a method of valuing SSgA by comparing valuation metrics with similar companies.
 Risk & Return  Correlation
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