SPDR SSGA Correlations

MYCM Etf

24.62 0.06 0.24%

The current 90-days correlation between SPDR SSGA My2033 and VanEck Vectors Moodys is -0.01 (i.e., Good diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as SPDR SSGA moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SPDR SSGA My2033 moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

SPDR SSGA Correlation With Market

Weak diversification

The correlation between SPDR SSGA My2033 and DJI is 0.3 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding SPDR SSGA My2033 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 My2033. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators.

Moving against SPDR Etf

0.73	ARKC	ARK 21Shares Active Low Volatility	Pair Corr
0.53	TRV	The Travelers Companies	Pair Corr
0.35	WMT	Walmart Sell-off Trend	Pair Corr
0.33	WTID	UBS ETRACS	Pair Corr
0.32	VZ	Verizon Communications Aggressive Push	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.97	0.82	0.79	0.56	0.92	0.17	0.93	0.21	0.51	META
MSFT	0.97		0.84	0.83	0.51	0.86	0.17	0.95	0.23	0.5	MSFT
UBER	0.82	0.84		0.88	0.41	0.78	0.46	0.85	0.18	0.44	UBER
F	0.79	0.83	0.88		0.42	0.8	0.16	0.89	0.43	0.68	F
T	0.56	0.51	0.41	0.42		0.63	0.11	0.46	0.35	0.27	T
A	0.92	0.86	0.78	0.8	0.63		0.15	0.86	0.36	0.63	A
CRM	0.17	0.17	0.46	0.16	0.11	0.15		0.09	-0.33	-0.21	CRM
JPM	0.93	0.95	0.85	0.89	0.46	0.86	0.09		0.32	0.59	JPM
MRK	0.21	0.23	0.18	0.43	0.35	0.36	-0.33	0.32		0.54	MRK
XOM	0.51	0.5	0.44	0.68	0.27	0.63	-0.21	0.59	0.54		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

MSFT	+ 0.97	META
JPM	+ 0.95	MSFT
JPM	+ 0.93	META
A	+ 0.92	META
JPM	+ 0.89	F
F	+ 0.88	UBER

High negative correlations

MRK	- 0.33	CRM
XOM	- 0.21	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	1.47	0.27	0.25	0.41	0.82	(1.79)	3.99	(2.00)	10.48
MSFT	0.84	0.33	0.36	0.63	0.00	(1.04)	2.33	(1.03)	8.85
UBER	1.60	0.05	0.05	0.25	1.44	(1.99)	4.19	(2.54)	10.87
F	1.29	0.10	0.04	0.33	1.40	(1.40)	2.69	(2.33)	7.46
T	1.00	(0.02)	(0.12)	0.14	1.30	(1.05)	2.35	(2.35)	5.71
A	1.53	(0.10)	0.02	0.14	1.77	(1.61)	2.82	(2.89)	14.01
CRM	1.30	(0.17)	(0.04)	0.09	1.64	(1.29)	2.95	(3.19)	9.31
JPM	0.88	0.19	0.16	0.40	0.54	(1.01)	2.25	(1.31)	6.03
MRK	1.40	(0.08)	(0.04)	0.13	1.82	(1.38)	2.90	(3.31)	10.58
XOM	1.10	(0.01)	(0.10)	0.16	1.39	(1.07)	2.18	(2.58)	6.28

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