SPDR Barclays Correlations

SPTL Etf

USD 27.29 0.39 1.45%

The current 90-days correlation between SPDR Barclays Long and SPDR Barclays Short is 0.64 (i.e., Poor diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as SPDR Barclays moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SPDR Barclays Long moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

SPDR Barclays Correlation With Market

Modest diversification

The correlation between SPDR Barclays Long 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 SPDR Barclays Long and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with SPDR Etf

1.0	TLT	iShares 20 Year Aggressive Push	Pair Corr
0.97	IEF	iShares 7 10	Pair Corr
1.0	TLH	iShares 10 20	Pair Corr
0.99	EDV	Vanguard Extended	Pair Corr
0.96	GOVZ	iShares 25 Year Low Volatility	Pair Corr
1.0	SCHQ	Schwab Long Term	Pair Corr
0.92	BNDD	Quadratic Deflation ETF	Pair Corr
0.98	TYA	Simplify Exchange Traded Low Volatility	Pair Corr
0.78	PMBS	PIMCO Mortgage Backed	Pair Corr
0.72	XOM	Exxon Mobil Corp	Pair Corr
0.84	VZ	Verizon Communications Aggressive Push	Pair Corr
0.64	HD	Home Depot	Pair Corr
0.74	DIS	Walt Disney	Pair Corr

Moving against SPDR Etf

0.61	BA	Boeing	Pair Corr
0.6	PFE	Pfizer Inc Aggressive Push	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.34	0.54	-0.68	0.78	0.45	-0.1	0.85	-0.78	-0.4	META
MSFT	-0.34		-0.63	0.28	-0.48	0.2	0.71	-0.47	0.59	-0.15	MSFT
UBER	0.54	-0.63		-0.15	0.73	-0.02	-0.49	0.72	-0.74	0.37	UBER
F	-0.68	0.28	-0.15		-0.38	-0.16	0.33	-0.41	0.58	0.77	F
T	0.78	-0.48	0.73	-0.38		0.06	-0.2	0.73	-0.78	0.0	T
A	0.45	0.2	-0.02	-0.16	0.06		0.21	0.53	-0.02	-0.29	A
CRM	-0.1	0.71	-0.49	0.33	-0.2	0.21		-0.25	0.43	-0.06	CRM
JPM	0.85	-0.47	0.72	-0.41	0.73	0.53	-0.25		-0.78	-0.08	JPM
MRK	-0.78	0.59	-0.74	0.58	-0.78	-0.02	0.43	-0.78		0.1	MRK
XOM	-0.4	-0.15	0.37	0.77	0.0	-0.29	-0.06	-0.08	0.1		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	+ 0.85	META
T	+ 0.78	META
XOM	+ 0.77	F
T	+ 0.73	UBER
JPM	+ 0.73	T
JPM	+ 0.72	UBER

High negative correlations

MRK	- 0.78	JPM
MRK	- 0.78	T
MRK	- 0.78	META
MRK	- 0.74	UBER
F	- 0.68	META
UBER	- 0.63	MSFT

SPDR Barclays Competition Risk-Adjusted Indicators

There is a big difference between SPDR Etf performing well and SPDR Barclays 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 Barclays' 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	1.30	0.26	0.16	0.64	1.38	(1.36)	3.22	(2.26)	7.11
MSFT	0.99	(0.06)	0.00	(0.23)	0.00	0.00	2.20	(1.90)	10.31
UBER	1.88	0.15	0.05	(2.68)	2.72	(1.87)	4.72	(3.13)	12.29
F	1.35	(0.21)	0.00	(0.27)	0.00	0.00	2.46	(2.90)	10.97
T	0.92	0.24	0.21	0.47	0.95	(1.07)	1.80	(1.75)	7.94
A	1.09	0.08	0.07	0.13	1.03	(1.33)	2.81	(1.91)	6.12
CRM	1.43	(0.07)	0.00	(0.08)	0.00	0.00	3.10	(2.95)	15.92
JPM	0.90	0.08	0.06	0.11	1.21	(0.99)	1.92	(1.51)	6.85
MRK	1.22	(0.07)	0.00	(1.13)	0.00	0.00	2.43	(1.81)	11.57
XOM	0.94	(0.13)	0.00	(0.24)	0.00	0.00	1.76	(2.14)	5.69

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