SPDR SP Correlations

SXLF Etf

USD 56.20 0.20 0.35%

The current 90-days correlation between SPDR SP Financials and UBSFund Solutions MSCI is -0.04 (i.e., Good 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

Poor diversification

The correlation between SPDR SP Financials and DJI is 0.62 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding SPDR SP Financials 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 Financials to buy it.

Moving together with SPDR Etf

0.93	VUSA	Vanguard SP 500	Pair Corr
0.9	CSSPX	iShares Core SP	Pair Corr
0.91	IUSA	iShares SP 500	Pair Corr
0.63	SXLK	SPDR SP Technology	Pair Corr
0.71	XLKS	Invesco Technology	Pair Corr
0.75	WTEC	SPDR MSCI World	Pair Corr
0.61	ZGLDEU	ZKB Gold ETF	Pair Corr
0.88	VEMA	Vanguard USD Emerging	Pair Corr
0.88	BOLD	21Shares Bytetree BOLD	Pair Corr
0.79	VUTA	Vanguard USD Treasury	Pair Corr
0.75	EQQQ	Invesco EQQQ NASDAQ	Pair Corr
0.97	R2US	SPDR Russell 2000	Pair Corr

Moving against SPDR Etf

0.85	EIMI	iShares Core MSCI	Pair Corr
0.71	LYRIO	Lyxor MSCI Brazil	Pair Corr
0.58	XMME	Xtrackers MSCI Emerging	Pair Corr
0.57	MSE	Lyxor UCITS Stoxx	Pair Corr
0.55	FXC	iShares China Large	Pair Corr
0.5	PLUSA	UBS ETF Palladium	Pair Corr
0.32	EUSRU	UBSFund Solutions MSCI	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.76	-0.53	-0.44	0.46	0.28	0.57	0.28	-0.18	-0.5	META
MSFT	0.76		-0.64	-0.35	0.51	0.06	0.57	0.35	-0.17	-0.76	MSFT
UBER	-0.53	-0.64		0.44	-0.72	0.18	-0.77	-0.54	0.59	0.71	UBER
F	-0.44	-0.35	0.44		0.02	-0.25	-0.04	0.31	-0.09	0.66	F
T	0.46	0.51	-0.72	0.02		-0.31	0.88	0.84	-0.7	-0.4	T
A	0.28	0.06	0.18	-0.25	-0.31		-0.32	-0.51	0.69	0.07	A
CRM	0.57	0.57	-0.77	-0.04	0.88	-0.32		0.88	-0.79	-0.46	CRM
JPM	0.28	0.35	-0.54	0.31	0.84	-0.51	0.88		-0.84	-0.22	JPM
MRK	-0.18	-0.17	0.59	-0.09	-0.7	0.69	-0.79	-0.84		0.24	MRK
XOM	-0.5	-0.76	0.71	0.66	-0.4	0.07	-0.46	-0.22	0.24		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

CRM	+ 0.88	T
JPM	+ 0.88	CRM
JPM	+ 0.84	T
MSFT	+ 0.76	META
XOM	+ 0.71	UBER
MRK	+ 0.69	A

High negative correlations

MRK	- 0.84	JPM
MRK	- 0.79	CRM
CRM	- 0.77	UBER
XOM	- 0.76	MSFT
T	- 0.72	UBER
MRK	- 0.7	T

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	1.21	0.10	0.05	0.23	1.41	(1.36)	2.62	(3.15)	7.43
MSFT	0.86	0.00	(0.01)	0.03	1.61	(0.78)	1.78	(2.23)	8.14
UBER	1.70	(0.29)	0.00	(0.30)	0.00	0.00	2.67	(5.35)	20.41
F	1.45	(0.15)	0.00	(0.07)	0.00	0.00	2.53	(2.90)	11.21
T	0.95	0.11	0.07	0.52	1.14	(1.00)	1.93	(1.99)	7.95
A	1.23	(0.05)	0.00	(0.07)	0.00	0.00	2.71	(2.42)	9.02
CRM	1.47	0.37	0.23	0.31	1.31	(1.67)	3.18	(2.88)	14.80
JPM	1.06	0.16	0.15	0.13	1.09	(1.25)	1.99	(1.44)	15.87
MRK	0.97	(0.23)	0.00	(0.89)	0.00	0.00	1.72	(2.17)	5.17
XOM	0.87	(0.15)	0.00	(0.47)	0.00	0.00	1.83	(2.14)	6.06

Be your own money manager

Our tools can tell you how much better you can do entering a position in SPDR SP 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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