Exchange Traded Correlations

BLUI Etf

25.49 0.01 0.04%

The current 90-days correlation between Exchange Traded Concepts and Pacer American Energy is 0.5 (i.e., Very weak diversification). The correlation of Exchange Traded 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.

Exchange Traded Correlation With Market

Poor diversification

The correlation between Exchange Traded Concepts and DJI is 0.63 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Exchange Traded Concepts and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Exchange Etf

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Exchange Traded Concepts. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in producer price index.

Moving together with Exchange Etf

0.7	VTI	Vanguard Total Stock	Pair Corr
0.72	SPY	SPDR SP 500 Aggressive Push	Pair Corr
0.72	IVV	iShares Core SP	Pair Corr
0.66	BND	Vanguard Total Bond	Pair Corr
0.76	VTV	Vanguard Value Index Sell-off Trend	Pair Corr
0.73	VEA	Vanguard FTSE Developed Sell-off Trend	Pair Corr
0.81	FB	ProShares Trust ProShares	Pair Corr
0.68	TOT	Advisor Managed Port	Pair Corr
0.82	DUKH	Ocean Park High	Pair Corr
0.82	SLX	VanEck Steel ETF	Pair Corr
0.85	ZJAN	Innovator Equity Defined	Pair Corr
0.67	JADE	JP Morgan Exchange	Pair Corr
0.84	FSST	Fidelity Sustainability	Pair Corr
0.71	CPER	United States Copper	Pair Corr
0.7	ZSB	USCF Sustainable Battery	Pair Corr
0.67	QULL	ETRACS 2x Leveraged	Pair Corr
0.83	QLC	FlexShares Quality Large	Pair Corr
0.87	HYSD	Columbia ETF Trust	Pair Corr
0.77	FROG	Jfrog	Pair Corr
0.72	VOO	Vanguard SP 500	Pair Corr
0.64	SGOL	abrdn Physical Gold	Pair Corr
0.86	MYCI	SPDR SSGA My2029	Pair Corr
0.81	IBTG	iShares iBonds Dec	Pair Corr
0.79	CLOX	Series Portfolios Trust	Pair Corr

Moving against Exchange Etf

0.76	NFLX	Netflix	Pair Corr
0.74	GBTC	Grayscale Bitcoin Trust	Pair Corr
0.61	VXX	iPath Series B	Pair Corr
0.45	EMC	Global X Funds	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.66	0.53	-0.61	0.51	-0.55	0.22	-0.16	-0.53	-0.6	META
MSFT	0.66		0.83	-0.52	0.37	-0.19	0.05	-0.34	-0.77	-0.61	MSFT
UBER	0.53	0.83		-0.61	0.56	-0.23	-0.18	-0.32	-0.85	-0.6	UBER
F	-0.61	-0.52	-0.61		-0.69	0.49	0.32	0.44	0.68	0.75	F
T	0.51	0.37	0.56	-0.69		-0.45	-0.53	-0.26	-0.51	-0.48	T
A	-0.55	-0.19	-0.23	0.49	-0.45		-0.2	-0.27	0.4	0.19	A
CRM	0.22	0.05	-0.18	0.32	-0.53	-0.2		0.41	0.11	0.2	CRM
JPM	-0.16	-0.34	-0.32	0.44	-0.26	-0.27	0.41		0.38	0.44	JPM
MRK	-0.53	-0.77	-0.85	0.68	-0.51	0.4	0.11	0.38		0.66	MRK
XOM	-0.6	-0.61	-0.6	0.75	-0.48	0.19	0.2	0.44	0.66		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

UBER	+ 0.83	MSFT
XOM	+ 0.75	F
MRK	+ 0.68	F
MSFT	+ 0.66	META
XOM	+ 0.66	MRK
T	+ 0.56	UBER

High negative correlations

MRK	- 0.85	UBER
MRK	- 0.77	MSFT
T	- 0.69	F
F	- 0.61	UBER
XOM	- 0.61	MSFT
F	- 0.61	META

Exchange Traded Competition Risk-Adjusted Indicators

There is a big difference between Exchange Etf performing well and Exchange Traded 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 Exchange Traded'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	1.38	(0.27)	0.00	(0.20)	0.00	0.00	2.30	(2.72)	13.52
MSFT	0.90	(0.11)	0.00	(0.11)	0.00	0.00	1.78	(2.50)	5.08
UBER	1.46	(0.35)	0.00	(0.25)	0.00	0.00	2.60	(3.82)	10.51
F	1.51	0.13	0.08	0.16	1.68	(1.65)	3.38	(2.63)	16.30
T	0.95	(0.22)	0.00	(0.71)	0.00	0.00	1.61	(2.18)	5.75
A	1.23	0.08	0.06	0.15	1.26	(1.33)	2.34	(2.21)	11.03
CRM	1.54	0.05	0.03	0.13	1.98	(1.51)	3.66	(2.92)	9.91
JPM	1.05	(0.02)	0.00	0.06	1.39	(1.07)	2.00	(1.91)	7.02
MRK	1.44	0.40	0.28	0.54	1.07	(1.80)	4.85	(2.06)	11.45
XOM	0.94	0.05	(0.01)	0.28	0.98	(1.01)	1.96	(1.51)	4.99

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