SPDR SSgA Correlations

ULST Etf

USD 40.46 0.14 0.34%

The current 90-days correlation between SPDR SSgA Ultra and SPDR Bloomberg Investment is 0.04 (i.e., Significant diversification). The correlation of SPDR 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. If the correlation is 0, the equities are not correlated; they are entirely random.

SPDR SSgA Correlation With Market

Good diversification

The correlation between SPDR SSgA Ultra and DJI is -0.01 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding SPDR SSgA Ultra and DJI in the same portfolio, assuming nothing else is changed.

Check out World Market Map to better understand how to build diversified portfolios, which includes a position in SPDR SSgA Ultra. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in state.

Moving together with SPDR Etf

0.88	BIL	SPDR Bloomberg 1	Pair Corr
0.89	SHV	iShares Short Treasury	Pair Corr
0.96	JPST	JPMorgan Ultra Short	Pair Corr
0.87	USFR	WisdomTree Floating Rate	Pair Corr
0.91	ICSH	iShares Ultra Short	Pair Corr
0.93	FTSM	First Trust Enhanced	Pair Corr
0.88	SGOV	iShares 0 3	Pair Corr
0.9	GBIL	Goldman Sachs Access	Pair Corr
0.87	TFLO	iShares Treasury Floating	Pair Corr
0.86	FLRN	SPDR Bloomberg Investment	Pair Corr
0.84	VTI	Vanguard Total Stock	Pair Corr
0.83	SPY	SPDR SP 500 Aggressive Push	Pair Corr
0.83	IVV	iShares Core SP	Pair Corr
0.81	VTV	Vanguard Value Index	Pair Corr
0.83	VUG	Vanguard Growth Index	Pair Corr
0.87	VO	Vanguard Mid Cap	Pair Corr
0.84	VB	Vanguard Small Cap	Pair Corr
0.85	AXP	American Express Fiscal Year End 24th of January 2025	Pair Corr
0.85	DIS	Walt Disney Aggressive Push	Pair Corr
0.77	CVX	Chevron Corp Fiscal Year End 7th of February 2025	Pair Corr
0.78	TRV	The Travelers Companies Fiscal Year End 17th of January 2025	Pair Corr
0.89	WMT	Walmart Aggressive Push	Pair Corr
0.81	HD	Home Depot	Pair Corr
0.73	CAT	Caterpillar Fiscal Year End 3rd of February 2025	Pair Corr
0.84	AA	Alcoa Corp Fiscal Year End 15th of January 2025	Pair Corr

Moving against SPDR Etf

0.5	VEA	Vanguard FTSE Developed	Pair Corr
0.46	BND	Vanguard Total Bond	Pair Corr
0.72	MRK	Merck Company Fiscal Year End 6th of February 2025	Pair Corr
0.69	KO	Coca Cola Fiscal Year End 11th of February 2025	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.26	0.55	0.07	0.53	0.05	0.64	0.28	-0.53	0.73	META
MSFT	0.26		0.21	0.17	0.16	-0.01	0.03	-0.11	0.13	-0.2	MSFT
UBER	0.55	0.21		-0.06	-0.09	0.27	-0.03	-0.16	0.09	0.35	UBER
F	0.07	0.17	-0.06		0.28	-0.41	0.5	0.7	-0.37	0.32	F
T	0.53	0.16	-0.09	0.28		-0.5	0.81	0.64	-0.79	0.39	T
A	0.05	-0.01	0.27	-0.41	-0.5		-0.46	-0.6	0.63	0.0	A
CRM	0.64	0.03	-0.03	0.5	0.81	-0.46		0.86	-0.91	0.65	CRM
JPM	0.28	-0.11	-0.16	0.7	0.64	-0.6	0.86		-0.83	0.47	JPM
MRK	-0.53	0.13	0.09	-0.37	-0.79	0.63	-0.91	-0.83		-0.56	MRK
XOM	0.73	-0.2	0.35	0.32	0.39	0.0	0.65	0.47	-0.56		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

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

SPDR SSgA Competition Risk-Adjusted Indicators

There is a big difference between SPDR Etf performing well and SPDR 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 SPDR 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 Deviation	Jensen Alpha	Sortino Ratio	Treynor Ratio	Semi Deviation	Expected Shortfall	Potential Upside	Value @Risk	Maximum 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

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