SPDR SP Correlations

EEDV Etf

21.23 0.09 0.42%

The current 90-days correlation between SPDR SP Euro and Vanguard SP 500 is 0.05 (i.e., Significant diversification). The correlation of SPDR SP 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 SP Correlation With Market

Good diversification

The correlation between SPDR SP Euro and DJI is -0.01 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding SPDR SP Euro and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to SPDR SP could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SPDR SP when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back SPDR SP - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling SPDR SP Euro to buy it.

Moving together with SPDR Etf

0.68	CNYB	iShares China CNY	Pair Corr
0.84	IMEU	iShares Core MSCI	Pair Corr

Moving against SPDR Etf

0.62	DIA	SPDR Dow Jones	Pair Corr
0.57	VUSA	Vanguard SP 500	Pair Corr
0.57	IUSA	iShares SP 500	Pair Corr
0.53	IWRD	iShares MSCI World	Pair Corr
0.49	VWRL	Vanguard FTSE All	Pair Corr
0.44	CYBU	iShares China CNY	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.42	-0.28	-0.21	0.51	0.28	0.65	0.43	-0.4	0.02	META
MSFT	0.42		-0.49	-0.08	0.36	0.16	0.29	0.17	0.1	-0.72	MSFT
UBER	-0.28	-0.49		0.09	-0.7	0.11	-0.59	-0.46	0.4	0.47	UBER
F	-0.21	-0.08	0.09		0.18	-0.47	0.26	0.51	-0.32	0.33	F
T	0.51	0.36	-0.7	0.18		-0.29	0.88	0.85	-0.72	-0.17	T
A	0.28	0.16	0.11	-0.47	-0.29		-0.26	-0.46	0.57	-0.08	A
CRM	0.65	0.29	-0.59	0.26	0.88	-0.26		0.92	-0.83	0.03	CRM
JPM	0.43	0.17	-0.46	0.51	0.85	-0.46	0.92		-0.87	0.11	JPM
MRK	-0.4	0.1	0.4	-0.32	-0.72	0.57	-0.83	-0.87		-0.25	MRK
XOM	0.02	-0.72	0.47	0.33	-0.17	-0.08	0.03	0.11	-0.25		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	+ 0.92	CRM
CRM	+ 0.88	T
JPM	+ 0.85	T
CRM	+ 0.65	META
MRK	+ 0.57	A
T	+ 0.51	META

High negative correlations

MRK	- 0.87	JPM
MRK	- 0.83	CRM
MRK	- 0.72	T
XOM	- 0.72	MSFT
T	- 0.7	UBER
CRM	- 0.59	UBER

SPDR SP Competition Risk-Adjusted Indicators

There is a big difference between SPDR Etf performing well and SPDR SP 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 SP'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	1.15	0.21	0.11	0.55	1.25	(1.33)	3.22	(1.87)	8.02
MSFT	0.84	0.02	(0.01)	0.12	1.45	(0.79)	1.83	(1.57)	8.14
UBER	1.83	(0.28)	0.00	(0.13)	0.00	0.00	2.69	(5.35)	20.41
F	1.36	(0.13)	(0.04)	0.00	2.10	(1.41)	2.53	(2.79)	11.21
T	0.97	0.15	0.06	2.52	1.02	(1.08)	2.36	(1.99)	6.74
A	1.22	0.00	(0.04)	0.09	1.46	(1.30)	2.71	(2.41)	9.02
CRM	1.47	0.40	0.29	0.38	1.04	(1.72)	3.59	(1.93)	13.87
JPM	1.01	0.08	0.13	0.13	0.94	(1.19)	1.73	(1.42)	15.87
MRK	0.96	(0.20)	0.00	(0.82)	0.00	0.00	2.00	(2.17)	5.18
XOM	0.89	(0.02)	(0.07)	0.02	1.18	(0.97)	1.83	(1.96)	6.06

SPDR SP Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with SPDR SP etf to make a market-neutral strategy. Peer analysis of SPDR SP could also be used in its relative valuation, which is a method of valuing SPDR SP by comparing valuation metrics with similar companies.

Vanguard SP 500 SPDR Dow Jones iShares Core MSCI iShares SP 500 Vanguard FTSE All World iShares China CNY iShares China CNY iShares Core MSCI iShares MSCI World iShares MSCI EM American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup

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