SSgA SPDR Correlations

SXLU Etf

EUR 44.99 0.19 0.42%

The current 90-days correlation between SSgA SPDR ETFs and SSgA SPDR ETFs is 0.3 (i.e., Weak diversification). The correlation of SSgA SPDR 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.

SSgA SPDR Correlation With Market

Modest diversification

The correlation between SSgA SPDR ETFs and DJI is 0.21 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding SSgA SPDR ETFs and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to SSgA SPDR could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SSgA SPDR 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 SSgA SPDR - 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 SSgA SPDR ETFs to buy it.

Moving together with SSgA Etf

0.81	VUSA	Vanguard SP 500	Pair Corr
0.81	DIA	SPDR Dow Jones	Pair Corr
0.81	IUSA	iShares SP 500	Pair Corr
0.82	VWRL	Vanguard FTSE All	Pair Corr
0.81	IWRD	iShares MSCI World	Pair Corr
0.82	SXLF	SSgA SPDR ETFs	Pair Corr
0.65	WITS	iShares MSCI World	Pair Corr
0.81	SWRD	SSGA SPDR ETFS	Pair Corr
0.81	CSPX	iShares Core SP	Pair Corr

Moving against SSgA Etf

0.73

CNYB

iShares China CNY

Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.33	-0.04	0.0	0.49	0.26	0.66	0.46	-0.43	0.32	META
MSFT	0.33		-0.36	0.02	0.29	0.13	0.22	0.14	0.14	-0.58	MSFT
UBER	-0.04	-0.36		0.05	-0.61	0.18	-0.45	-0.38	0.33	0.42	UBER
F	0.0	0.02	0.05		0.29	-0.38	0.39	0.58	-0.39	0.36	F
T	0.49	0.29	-0.61	0.29		-0.35	0.87	0.86	-0.73	0.0	T
A	0.26	0.13	0.18	-0.38	-0.35		-0.28	-0.46	0.56	0.02	A
CRM	0.66	0.22	-0.45	0.39	0.87	-0.28		0.92	-0.84	0.24	CRM
JPM	0.46	0.14	-0.38	0.58	0.86	-0.46	0.92		-0.87	0.24	JPM
MRK	-0.43	0.14	0.33	-0.39	-0.73	0.56	-0.84	-0.87		-0.36	MRK
XOM	0.32	-0.58	0.42	0.36	0.0	0.02	0.24	0.24	-0.36		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	+ 0.87	T
JPM	+ 0.86	T
CRM	+ 0.66	META
JPM	+ 0.58	F
MRK	+ 0.56	A

High negative correlations

MRK	- 0.87	JPM
MRK	- 0.84	CRM
MRK	- 0.73	T
T	- 0.61	UBER
XOM	- 0.58	MSFT
JPM	- 0.46	A

SSgA SPDR Competition Risk-Adjusted Indicators

There is a big difference between SSgA Etf performing well and SSgA SPDR 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 SSgA SPDR'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	1.17	0.29	0.16	0.72	1.18	(1.37)	3.22	(1.87)	8.02
MSFT	0.87	0.05	0.01	0.21	1.40	(0.84)	2.09	(1.57)	8.19
UBER	1.85	(0.29)	0.00	(0.12)	0.00	0.00	2.69	(5.35)	20.41
F	1.40	(0.13)	(0.03)	0.03	2.15	(1.41)	2.53	(2.79)	11.21
T	0.98	0.13	0.02	2.38	1.05	(1.07)	2.36	(1.99)	6.74
A	1.22	0.03	(0.04)	0.25	1.48	(1.28)	2.71	(2.41)	9.02
CRM	1.47	0.41	0.30	0.41	1.02	(1.72)	3.59	(1.93)	13.87
JPM	1.00	0.07	0.13	0.15	0.90	(1.18)	1.73	(1.42)	15.87
MRK	0.93	(0.24)	0.00	(0.80)	0.00	0.00	2.00	(2.17)	5.18
XOM	0.92	(0.01)	(0.07)	0.09	1.18	(0.98)	1.83	(1.96)	6.06

Be your own money manager

Our tools can tell you how much better you can do entering a position in SSgA SPDR without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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