SPDR SSgA Correlations

ULST Etf

USD 40.53 0.01 0.02%

The current 90-days correlation between SPDR SSgA Ultra and SPDR Bloomberg Investment is -0.01 (i.e., Good 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

Modest diversification

The correlation between SPDR SSgA Ultra and DJI is 0.21 (i.e., Modest 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
0.9	SHV	iShares Short Treasury	Pair Corr
0.96	JPST	JPMorgan Ultra Short	Pair Corr
0.85	USFR	WisdomTree Floating Rate	Pair Corr
0.92	ICSH	iShares Ultra Short	Pair Corr
0.94	FTSM	First Trust Enhanced	Pair Corr
0.88	SGOV	iShares 0 3	Pair Corr
0.91	GBIL	Goldman Sachs Access	Pair Corr
0.85	TFLO	iShares Treasury Floating	Pair Corr
0.87	FLRN	SPDR Bloomberg Investment	Pair Corr
0.69	SHLD	Global X Funds	Pair Corr
0.83	DUKH	Ocean Park High	Pair Corr
0.74	WINN	Harbor Long Term	Pair Corr
0.88	WMT	Walmart Aggressive Push	Pair Corr
0.63	BAC	Bank of America Aggressive Push	Pair Corr
0.63	CVX	Chevron Corp Fiscal Year End 7th of February 2025	Pair Corr
0.79	TRV	The Travelers Companies Fiscal Year End 17th of January 2025	Pair Corr
0.78	INTC	Intel Fiscal Year End 23rd of January 2025	Pair Corr
0.8	HD	Home Depot	Pair Corr
0.79	AA	Alcoa Corp Fiscal Year End 15th of January 2025	Pair Corr
0.83	AXP	American Express Fiscal Year End 24th of January 2025	Pair Corr

Moving against SPDR Etf

0.79	FNGD	MicroSectors FANG Index	Pair Corr
0.72	HUM	Humana Inc Fiscal Year End 23rd of January 2025	Pair Corr
0.41	LUX	Tema ETF Trust	Pair Corr
0.88	BA	Boeing Fiscal Year End 29th of January 2025	Pair Corr
0.7	MRK	Merck Company Fiscal Year End 6th of February 2025	Pair Corr
0.48	PFE	Pfizer Inc Fiscal Year End 4th of February 2025	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.28	0.57	-0.02	0.62	0.02	0.71	0.3	-0.57	0.73	META
MSFT	0.28		0.24	0.13	0.18	-0.02	0.02	-0.17	0.11	-0.19	MSFT
UBER	0.57	0.24		-0.01	0.05	0.25	0.08	-0.07	0.02	0.38	UBER
F	-0.02	0.13	-0.01		-0.04	-0.36	0.32	0.6	-0.22	0.26	F
T	0.62	0.18	0.05	-0.04		-0.46	0.71	0.45	-0.75	0.39	T
A	0.02	-0.02	0.25	-0.36	-0.46		-0.47	-0.65	0.63	0.0	A
CRM	0.71	0.02	0.08	0.32	0.71	-0.47		0.81	-0.92	0.68	CRM
JPM	0.3	-0.17	-0.07	0.6	0.45	-0.65	0.81		-0.82	0.49	JPM
MRK	-0.57	0.11	0.02	-0.22	-0.75	0.63	-0.92	-0.82		-0.56	MRK
XOM	0.73	-0.19	0.38	0.26	0.39	0.0	0.68	0.49	-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	+ 0.81	CRM
XOM	+ 0.73	META
CRM	+ 0.71	META
CRM	+ 0.71	T
XOM	+ 0.68	CRM
MRK	+ 0.63	A

High negative correlations

MRK	- 0.92	CRM
MRK	- 0.82	JPM
MRK	- 0.75	T
JPM	- 0.65	A
MRK	- 0.57	META
XOM	- 0.56	MRK

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	1.05	0.01	(0.01)	0.12	1.40	(1.14)	2.62	(3.15)	8.02
MSFT	0.90	(0.11)	0.00	(0.05)	0.00	0.00	2.09	(2.02)	8.19
UBER	1.56	(0.16)	0.00	(0.06)	0.00	0.00	2.53	(2.44)	20.10
F	1.39	(0.12)	(0.03)	0.02	2.20	(1.34)	2.53	(2.90)	11.72
T	0.92	0.26	0.15	57.17	0.86	(1.04)	2.56	(1.72)	6.47
A	1.12	(0.13)	0.00	(0.16)	0.00	0.00	2.29	(2.42)	9.02
CRM	1.28	0.27	0.23	0.33	0.92	(1.51)	3.18	(1.91)	9.09
JPM	1.11	0.03	0.07	0.12	1.44	(1.15)	2.05	(2.00)	15.87
MRK	0.85	(0.24)	0.00	(1.03)	0.00	0.00	1.73	(2.13)	4.89
XOM	1.04	0.06	0.01	0.20	1.20	(1.10)	2.14	(2.09)	5.78

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