SSGA Active Correlations

PRSD Etf

25.05 0.02 0.08%

The current 90-days correlation between SSGA Active Trust and Mid Cap Growth Profund is 0.28 (i.e., Modest diversification). The correlation of SSGA Active 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.

SSGA Active Correlation With Market

Significant diversification

The correlation between SSGA Active Trust and DJI is 0.08 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding SSGA Active Trust and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with SSGA Etf

Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in SSGA Active Trust. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in real.

Moving together with SSGA Etf

0.96	BSV	Vanguard Short Term	Pair Corr
0.97	IGSB	iShares 1 5	Pair Corr
0.98	SPSB	SPDR Barclays Short	Pair Corr
0.97	ISTB	iShares Core 1	Pair Corr
0.97	SLQD	iShares 0 5	Pair Corr
0.91	GVI	iShares Intermediate	Pair Corr
0.96	LDUR	PIMCO Enhanced Low	Pair Corr
0.96	SUSB	iShares ESG 1	Pair Corr
0.77	MUU	Direxion Daily MU Trending	Pair Corr
0.77	MULL	GraniteShares 2x Long Trending	Pair Corr
0.83	AGQ	ProShares Ultra Silver	Pair Corr
0.76	GDMN	WisdomTree Efficient Gold Low Volatility	Pair Corr
0.75	SHNY	Microsectors Gold	Pair Corr
0.77	HEZU	iShares Currency Hedged	Pair Corr
0.87	CPER	United States Copper	Pair Corr
0.79	FROG	Jfrog	Pair Corr
0.62	VOO	Vanguard SP 500	Pair Corr
0.83	CSD	Invesco SP Spin	Pair Corr
0.65	XSVN	Bondbloxx ETF Trust	Pair Corr
0.64	ITDJ	iShares Trust	Pair Corr
0.92	HYD	VanEck High Yield	Pair Corr
0.91	CPSU	Calamos SP 500	Pair Corr
0.88	FSST	Fidelity Sustainability	Pair Corr
0.86	APRT	AllianzIM Large Cap	Pair Corr
0.8	SCMB	Schwab Municipal Bond	Pair Corr
0.91	CLOX	Series Portfolios Trust	Pair Corr
0.88	CANC	Tema Oncology ETF	Pair Corr

Moving against SSGA Etf

0.33

FOWF

Pacer Solactive Whitney

Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.66	0.54	-0.62	0.54	-0.57	0.22	-0.15	-0.56	-0.61	META
MSFT	0.66		0.83	-0.51	0.36	-0.2	0.07	-0.32	-0.77	-0.61	MSFT
UBER	0.54	0.83		-0.61	0.57	-0.27	-0.14	-0.27	-0.85	-0.59	UBER
F	-0.62	-0.51	-0.61		-0.7	0.53	0.3	0.41	0.69	0.75	F
T	0.54	0.36	0.57	-0.7		-0.52	-0.5	-0.21	-0.53	-0.47	T
A	-0.57	-0.2	-0.27	0.53	-0.52		-0.18	-0.26	0.46	0.23	A
CRM	0.22	0.07	-0.14	0.3	-0.5	-0.18		0.37	0.07	0.17	CRM
JPM	-0.15	-0.32	-0.27	0.41	-0.21	-0.26	0.37		0.32	0.41	JPM
MRK	-0.56	-0.77	-0.85	0.69	-0.53	0.46	0.07	0.32		0.65	MRK
XOM	-0.61	-0.61	-0.59	0.75	-0.47	0.23	0.17	0.41	0.65		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

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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

UBER	+ 0.83	MSFT
XOM	+ 0.75	F
MRK	+ 0.69	F
MSFT	+ 0.66	META
XOM	+ 0.65	MRK
T	+ 0.57	UBER

High negative correlations

MRK	- 0.85	UBER
MRK	- 0.77	MSFT
T	- 0.7	F
F	- 0.62	META
F	- 0.61	UBER
XOM	- 0.61	MSFT

SSGA Active Competition Risk-Adjusted Indicators

There is a big difference between SSGA Etf performing well and SSGA Active 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 Active'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 Deviation	Jensen Alpha	Sortino Ratio	Treynor Ratio	Semi Deviation	Expected Shortfall	Potential Upside	Value @Risk	Maximum Drawdown
META	1.39	(0.24)	0.00	(0.19)	0.00	0.00	2.30	(2.72)	13.52
MSFT	0.90	(0.11)	0.00	(0.11)	0.00	0.00	1.78	(2.50)	5.08
UBER	1.46	(0.35)	0.00	(0.25)	0.00	0.00	2.60	(3.82)	10.51
F	1.51	0.13	0.08	0.16	1.69	(1.65)	3.38	(2.63)	16.30
T	0.97	(0.24)	0.00	(0.75)	0.00	0.00	1.61	(2.18)	5.75
A	1.25	0.07	0.06	0.13	1.31	(1.37)	2.34	(2.21)	11.03
CRM	1.54	0.06	0.03	0.13	1.97	(1.52)	3.66	(2.92)	9.91
JPM	1.05	0.00	0.01	0.07	1.40	(1.05)	2.00	(1.91)	7.02
MRK	1.45	0.40	0.28	0.53	1.08	(1.84)	4.85	(2.06)	11.45
XOM	0.94	0.06	0.01	0.33	0.99	(1.00)	1.96	(1.51)	4.99

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