SPDR Bloomberg Correlations

EMHC Etf

USD 24.26 0.01 0.04%

The current 90-days correlation between SPDR Bloomberg Barclays and SPDR DoubleLine Emerging is 0.04 (i.e., Significant diversification). The correlation of SPDR Bloomberg 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 Bloomberg Correlation With Market

Very good diversification

The correlation between SPDR Bloomberg Barclays and DJI is -0.23 (i.e., Very good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding SPDR Bloomberg Barclays and DJI in the same portfolio, assuming nothing else is changed.

Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in SPDR Bloomberg Barclays. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in rate.

Moving together with SPDR Etf

1.0	EMB	iShares JP Morgan Symbol Change	Pair Corr
0.91	PCY	Invesco Emerging Markets	Pair Corr
0.87	HYEM	VanEck Emerging Markets	Pair Corr
0.9	EMHY	iShares JP Morgan	Pair Corr
0.97	CEMB	iShares JP Morgan	Pair Corr
0.96	XEMD	Bondbloxx ETF Trust	Pair Corr
0.96	EMBD	Global X Emerging	Pair Corr
0.93	EMTL	SPDR DoubleLine Emerging	Pair Corr
0.99	JPMB	JPMorgan USD Emerging	Pair Corr
0.86	EMCB	WisdomTree Emerging	Pair Corr
0.91	WIP	SPDR FTSE International	Pair Corr
0.78	ISHG	iShares 1 3	Pair Corr
0.81	IGOV	iShares International	Pair Corr
0.79	GDXU	MicroSectors Gold Miners	Pair Corr
0.66	CSCO	Cisco Systems	Pair Corr
0.85	VZ	Verizon Communications Sell-off Trend	Pair Corr
0.91	JNJ	Johnson Johnson	Pair Corr
0.76	MMM	3M Company	Pair Corr
0.76	MCD	McDonalds	Pair Corr
0.84	KO	Coca Cola Sell-off Trend	Pair Corr

Moving against SPDR Etf

0.82	EU	enCore Energy Corp	Pair Corr
0.54	HPQ	HP Inc	Pair Corr
0.74	AA	Alcoa Corp	Pair Corr
0.72	MSFT	Microsoft Aggressive Push	Pair Corr
0.59	MRK	Merck Company	Pair Corr
0.58	CAT	Caterpillar	Pair Corr
0.42	DIS	Walt Disney	Pair Corr
0.38	BAC	Bank of America Aggressive Push	Pair Corr
0.36	HD	Home Depot	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.02	0.58	-0.53	0.3	0.43	0.28	0.9	-0.74	-0.03	META
MSFT	-0.02		-0.62	0.02	-0.8	0.7	0.89	0.13	0.43	-0.55	MSFT
UBER	0.58	-0.62		-0.28	0.81	-0.27	-0.53	0.51	-0.84	0.57	UBER
F	-0.53	0.02	-0.28		0.0	-0.09	-0.16	-0.37	0.51	0.36	F
T	0.3	-0.8	0.81	0.0		-0.59	-0.71	0.16	-0.65	0.6	T
A	0.43	0.7	-0.27	-0.09	-0.59		0.8	0.62	0.11	-0.34	A
CRM	0.28	0.89	-0.53	-0.16	-0.71	0.8		0.36	0.23	-0.61	CRM
JPM	0.9	0.13	0.51	-0.37	0.16	0.62	0.36		-0.63	0.06	JPM
MRK	-0.74	0.43	-0.84	0.51	-0.65	0.11	0.23	-0.63		-0.32	MRK
XOM	-0.03	-0.55	0.57	0.36	0.6	-0.34	-0.61	0.06	-0.32		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	+ 0.9	META
CRM	+ 0.89	MSFT
T	+ 0.81	UBER
CRM	+ 0.8	A
A	+ 0.7	MSFT
JPM	+ 0.62	A

High negative correlations

MRK	- 0.84	UBER
T	- 0.8	MSFT
MRK	- 0.74	META
CRM	- 0.71	T
MRK	- 0.65	T
MRK	- 0.63	JPM

SPDR Bloomberg Competition Risk-Adjusted Indicators

There is a big difference between SPDR Etf performing well and SPDR Bloomberg 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 Bloomberg'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	1.63	0.04	0.02	0.00	2.27	(1.46)	2.96	(3.73)	8.90
MSFT	1.11	(0.18)	0.00	(0.29)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.88	0.40	0.18	0.75	2.03	(2.05)	4.72	(3.13)	12.75
F	1.44	0.14	0.06	0.09	2.12	(1.42)	2.71	(2.88)	10.14
T	0.99	0.29	0.19	0.56	1.43	(1.11)	1.90	(1.55)	11.66
A	1.16	(0.14)	0.00	(0.20)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.40	(0.29)	0.00	(0.29)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.14	0.10	0.05	0.05	1.76	(1.09)	2.16	(3.35)	6.85
MRK	1.16	(0.11)	0.00	1.03	0.00	0.00	2.07	(1.80)	11.58
XOM	1.03	0.13	0.10	0.27	1.28	(1.06)	2.55	(2.36)	5.89

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