SPDR Portfolio Correlations

SPAB Etf

USD 25.81 0.01 0.04%

The current 90-days correlation between SPDR Portfolio Aggregate and Vanguard Long Term Bond is 0.91 (i.e., Almost no diversification). The correlation of SPDR Portfolio 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 Portfolio Correlation With Market

Very weak diversification

The correlation between SPDR Portfolio Aggregate and DJI is 0.55 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding SPDR Portfolio Aggregate and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with SPDR Etf

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

Moving together with SPDR Etf

1.0	BND	Vanguard Total Bond Sell-off Trend	Pair Corr
0.99	AGG	iShares Core Aggregate Sell-off Trend	Pair Corr
0.9	BIV	Vanguard Intermediate Sell-off Trend	Pair Corr
0.99	EAGG	iShares ESG Aggregate	Pair Corr
0.8	FLCB	Franklin Templeton ETF	Pair Corr
0.97	UITB	VictoryShares USAA Core	Pair Corr
0.97	DFCF	Dimensional ETF Trust	Pair Corr
0.77	JAGG	JPMorgan BetaBuilders	Pair Corr
0.97	AGGY	WisdomTree Yield Enhanced	Pair Corr
0.64	ITDD	iShares Trust	Pair Corr
0.66	BRHY	BlackRock High Yield	Pair Corr

Moving against SPDR Etf

0.41	MPAY	Exchange Traded Concepts	Pair Corr
0.36	HPQ	HP Inc	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.48	0.15	0.01	-0.05	-0.18	0.46	0.05	-0.14	-0.11	META
MSFT	0.48		0.76	-0.49	0.48	0.27	0.34	-0.15	-0.83	-0.65	MSFT
UBER	0.15	0.76		-0.45	0.42	0.5	0.05	-0.27	-0.8	-0.52	UBER
F	0.01	-0.49	-0.45		-0.59	-0.21	0.09	0.46	0.66	0.6	F
T	-0.05	0.48	0.42	-0.59		0.62	-0.15	-0.25	-0.46	-0.64	T
A	-0.18	0.27	0.5	-0.21	0.62		-0.2	-0.12	-0.31	-0.5	A
CRM	0.46	0.34	0.05	0.09	-0.15	-0.2		0.65	-0.11	-0.4	CRM
JPM	0.05	-0.15	-0.27	0.46	-0.25	-0.12	0.65		0.36	-0.05	JPM
MRK	-0.14	-0.83	-0.8	0.66	-0.46	-0.31	-0.11	0.36		0.7	MRK
XOM	-0.11	-0.65	-0.52	0.6	-0.64	-0.5	-0.4	-0.05	0.7		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

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

UBER	+ 0.76	MSFT
XOM	+ 0.7	MRK
MRK	+ 0.66	F
JPM	+ 0.65	CRM
A	+ 0.62	T
XOM	+ 0.6	F

High negative correlations

MRK	- 0.83	MSFT
MRK	- 0.8	UBER
XOM	- 0.65	MSFT
XOM	- 0.64	T
T	- 0.59	F
XOM	- 0.52	UBER

SPDR Portfolio Competition Risk-Adjusted Indicators

There is a big difference between SPDR Etf performing well and SPDR Portfolio 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 Portfolio'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	1.45	(0.19)	0.00	(0.12)	0.00	0.00	3.16	(2.67)	13.02
MSFT	1.07	(0.13)	0.00	(0.42)	0.00	0.00	1.85	(2.50)	4.90
UBER	1.43	(0.29)	0.00	(0.33)	0.00	0.00	2.50	(3.82)	10.23
F	1.47	0.12	0.09	0.15	1.32	(1.82)	3.65	(2.35)	16.30
T	0.88	(0.04)	0.00	(0.05)	0.00	0.00	1.63	(1.85)	4.30
A	1.20	(0.23)	0.00	(0.11)	0.00	0.00	2.90	(2.58)	7.85
CRM	1.43	(0.22)	0.00	(0.15)	0.00	0.00	2.94	(3.10)	12.37
JPM	1.11	(0.05)	(0.01)	0.03	1.66	(1.09)	2.00	(3.11)	7.38
MRK	1.24	0.28	0.19	0.46	1.14	(1.50)	3.59	(1.98)	8.09
XOM	1.06	0.27	0.17	4.39	0.96	(1.23)	2.38	(1.51)	5.82

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

2026 Macroaxis LLC