SPDR SSGA Correlations

MYMF Etf

24.82 0.02 0.08%

The current 90-days correlation between SPDR SSGA My2026 and Xtrackers California Municipal is 0.4 (i.e., Very weak 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.

SPDR SSGA Correlation With Market

Modest diversification

The correlation between SPDR SSGA My2026 and DJI is 0.25 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding SPDR SSGA My2026 and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with SPDR Etf

Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in SPDR SSGA My2026. 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.

Moving together with SPDR Etf

0.9	IBMN	iShares iBonds Dec	Pair Corr
0.98	IBMO	iShares iBonds Dec	Pair Corr
0.98	IBMP	iShares iBonds Dec	Pair Corr
0.98	IBMQ	iShares Trust	Pair Corr
0.96	BSMP	Invesco BulletShares 2025	Pair Corr
0.97	BSMQ	Invesco BulletShares 2026	Pair Corr
0.77	PMBS	PIMCO Mortgage Backed	Pair Corr
0.97	SIXD	AIM ETF Products	Pair Corr
0.88	PFFL	ETRACS 2xMonthly Pay	Pair Corr
0.97	CEFD	ETRACS Monthly Pay	Pair Corr
0.81	EUSB	iShares Trust	Pair Corr
0.96	BUFD	FT Cboe Vest	Pair Corr
0.96	VABS	Virtus Newfleet ABSMBS	Pair Corr
0.72	KGRN	KraneShares MSCI China	Pair Corr
0.94	BAC	Bank of America	Pair Corr
0.95	MSFT	Microsoft	Pair Corr
0.95	CSCO	Cisco Systems	Pair Corr
0.96	JPM	JPMorgan Chase	Pair Corr
0.85	AA	Alcoa Corp	Pair Corr
0.93	AXP	American Express	Pair Corr
0.96	CAT	Caterpillar	Pair Corr
0.91	PFE	Pfizer Inc	Pair Corr
0.85	MMM	3M Company	Pair Corr
0.91	GE	GE Aerospace Earnings Call Tomorrow	Pair Corr
0.89	BA	Boeing	Pair Corr
0.86	CVX	Chevron Corp	Pair Corr

Moving against SPDR Etf

0.92	VXX	iPath Series B	Pair Corr
0.92	VIXY	ProShares VIX Short	Pair Corr
0.75	YCL	ProShares Ultra Yen	Pair Corr
0.72	MCD	McDonalds	Pair Corr
0.57	PG	Procter Gamble	Pair Corr
0.44	VZ	Verizon Communications Earnings Call Today	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.98	0.84	0.82	0.55	0.93	0.29	0.94	0.23	0.56	META
MSFT	0.98		0.87	0.85	0.52	0.89	0.29	0.96	0.24	0.55	MSFT
UBER	0.84	0.87		0.9	0.42	0.81	0.54	0.88	0.21	0.5	UBER
F	0.82	0.85	0.9		0.4	0.84	0.28	0.91	0.43	0.72	F
T	0.55	0.52	0.42	0.4		0.57	0.17	0.5	0.27	0.22	T
A	0.93	0.89	0.81	0.84	0.57		0.24	0.89	0.37	0.67	A
CRM	0.29	0.29	0.54	0.28	0.17	0.24		0.23	-0.26	-0.11	CRM
JPM	0.94	0.96	0.88	0.91	0.5	0.89	0.23		0.32	0.64	JPM
MRK	0.23	0.24	0.21	0.43	0.27	0.37	-0.26	0.32		0.55	MRK
XOM	0.56	0.55	0.5	0.72	0.22	0.67	-0.11	0.64	0.55		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

Click cells to compare fundamentals

Check Volatility

Backtest Portfolio

Please upgrade your account to get full access to Macroaxis premium features

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

MSFT	+ 0.98	META
JPM	+ 0.96	MSFT
JPM	+ 0.94	META
A	+ 0.93	META
JPM	+ 0.91	F
F	+ 0.9	UBER

High negative correlations

MRK	- 0.26	CRM
XOM	- 0.11	CRM

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	1.51	0.26	0.21	0.32	1.10	(1.82)	3.99	(2.35)	10.48
MSFT	0.90	0.30	0.27	0.47	0.54	(1.09)	2.33	(1.08)	8.85
UBER	1.64	0.20	0.13	0.33	1.40	(2.08)	4.19	(2.54)	10.87
F	1.32	0.14	0.06	0.32	1.47	(1.42)	2.69	(2.61)	7.46
T	1.02	(0.05)	(0.10)	0.00	1.35	(1.06)	2.35	(2.35)	5.71
A	1.46	(0.07)	0.00	0.09	1.81	(1.51)	2.54	(2.89)	14.01
CRM	1.33	(0.13)	(0.04)	0.04	1.74	(1.28)	2.95	(3.19)	9.31
JPM	0.90	0.22	0.18	0.38	0.67	(1.02)	2.25	(1.36)	6.03
MRK	1.39	(0.09)	(0.05)	0.04	1.96	(1.32)	2.88	(3.31)	10.58
XOM	1.13	0.05	(0.04)	0.41	1.36	(1.15)	2.40	(2.58)	5.84

Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions

Feedback Blog

Made with optimal in San Francisco

2025 Macroaxis LLC