MicroSectorsTM Oil Correlations

OILU Etf

USD 31.49 0.71 2.20%

The current 90-days correlation between MicroSectorsTM Oil Gas and MicroSectorsTM Oil Gas is -0.99 (i.e., Pay attention - limited upside). The correlation of MicroSectorsTM Oil 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.

MicroSectorsTM Oil Correlation With Market

Very good diversification

The correlation between MicroSectorsTM Oil Gas and DJI is -0.23 (i.e., Very good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding MicroSectorsTM Oil Gas and DJI in the same portfolio, assuming nothing else is changed.

Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in MicroSectorsTM Oil Gas. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis.

Moving together with MicroSectorsTM Etf

0.84	GUSH	Direxion Daily SP	Pair Corr
0.75	OIH	VanEck Oil Services	Pair Corr

Moving against MicroSectorsTM Etf

0.65	PG	Procter Gamble	Pair Corr
0.45	MCD	McDonalds	Pair Corr
0.36	TRV	The Travelers Companies	Pair Corr
0.32	T	ATT Inc Sell-off Trend	Pair Corr
0.32	KO	Coca Cola	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.02	0.58	-0.53	0.3	0.41	0.28	0.9	-0.74	-0.03	META
MSFT	-0.02		-0.62	0.02	-0.8	0.54	0.89	0.13	0.43	-0.55	MSFT
UBER	0.58	-0.62		-0.28	0.81	-0.16	-0.53	0.51	-0.84	0.57	UBER
F	-0.53	0.02	-0.28		0.0	-0.05	-0.16	-0.37	0.51	0.36	F
T	0.3	-0.8	0.81	0.0		-0.51	-0.71	0.16	-0.65	0.6	T
A	0.41	0.54	-0.16	-0.05	-0.51		0.64	0.64	0.07	-0.23	A
CRM	0.28	0.89	-0.53	-0.16	-0.71	0.64		0.36	0.23	-0.61	CRM
JPM	0.9	0.13	0.51	-0.37	0.16	0.64	0.36		-0.63	0.06	JPM
MRK	-0.74	0.43	-0.84	0.51	-0.65	0.07	0.23	-0.63		-0.32	MRK
XOM	-0.03	-0.55	0.57	0.36	0.6	-0.23	-0.61	0.06	-0.32		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	+ 0.9	META
CRM	+ 0.89	MSFT
T	+ 0.81	UBER
CRM	+ 0.64	A
JPM	+ 0.64	A
XOM	+ 0.6	T

High negative correlations

MRK	- 0.84	UBER
T	- 0.8	MSFT
MRK	- 0.74	META
CRM	- 0.71	T
MRK	- 0.65	T
MRK	- 0.63	JPM

MicroSectorsTM Oil Competition Risk-Adjusted Indicators

There is a big difference between MicroSectorsTM Etf performing well and MicroSectorsTM Oil 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 MicroSectorsTM Oil'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	1.63	0.04	0.02	0.00	2.27	(1.46)	2.96	(3.73)	8.90
MSFT	1.11	(0.18)	0.00	(0.29)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.88	0.40	0.18	0.75	2.03	(2.05)	4.72	(3.13)	12.75
F	1.44	0.14	0.06	0.09	2.12	(1.42)	2.71	(2.88)	10.14
T	0.99	0.29	0.19	0.56	1.43	(1.11)	1.90	(1.55)	11.66
A	1.15	(0.18)	0.00	4.17	0.00	0.00	2.92	(2.59)	9.03
CRM	1.40	(0.29)	0.00	(0.29)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.14	0.10	0.05	0.05	1.76	(1.09)	2.16	(3.35)	6.85
MRK	1.16	(0.11)	0.00	1.03	0.00	0.00	2.07	(1.80)	11.58
XOM	1.03	0.13	0.10	0.27	1.28	(1.06)	2.55	(2.36)	5.89

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