United States Correlations

UGA Etf

USD 62.51 0.19 0.30%

The current 90-days correlation between United States Gasoline and United States 12 is 0.83 (i.e., Very poor diversification). The correlation of United States 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.

United States Correlation With Market

Significant diversification

The correlation between United States Gasoline and DJI is 0.06 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding United States Gasoline 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 United States Gasoline. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in price.

Moving together with United Etf

0.91

USO

United States Oil Sell-off Trend

Pair Corr

Moving against United Etf

0.5	SMI	VanEck Vectors ETF	Pair Corr
0.49	FNGD	MicroSectors FANG Index Downward Rally	Pair Corr
0.69	PG	Procter Gamble	Pair Corr
0.48	AA	Alcoa Corp	Pair Corr
0.47	HPQ	HP Inc	Pair Corr
0.35	MSFT	Microsoft	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.44	0.59	-0.64	0.75	0.3	-0.21	0.85	-0.83	-0.29	META
MSFT	-0.44		-0.65	0.39	-0.6	0.27	0.76	-0.51	0.62	-0.09	MSFT
UBER	0.59	-0.65		-0.2	0.75	-0.09	-0.53	0.74	-0.76	0.39	UBER
F	-0.64	0.39	-0.2		-0.38	0.04	0.44	-0.39	0.64	0.72	F
T	0.75	-0.6	0.75	-0.38		-0.17	-0.42	0.69	-0.78	0.07	T
A	0.3	0.27	-0.09	0.04	-0.17		0.3	0.44	0.04	-0.13	A
CRM	-0.21	0.76	-0.53	0.44	-0.42	0.3		-0.31	0.47	0.01	CRM
JPM	0.85	-0.51	0.74	-0.39	0.69	0.44	-0.31		-0.79	0.01	JPM
MRK	-0.83	0.62	-0.76	0.64	-0.78	0.04	0.47	-0.79		0.12	MRK
XOM	-0.29	-0.09	0.39	0.72	0.07	-0.13	0.01	0.01	0.12		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
CRM	+ 0.76	MSFT
T	+ 0.75	META
T	+ 0.75	UBER
JPM	+ 0.74	UBER
XOM	+ 0.72	F

High negative correlations

MRK	- 0.83	META
MRK	- 0.79	JPM
MRK	- 0.78	T
MRK	- 0.76	UBER
UBER	- 0.65	MSFT
F	- 0.64	META

United States Competition Risk-Adjusted Indicators

There is a big difference between United Etf performing well and United States 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 United States' 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	1.36	0.28	0.17	0.57	1.44	(1.42)	3.22	(2.29)	7.11
MSFT	1.03	(0.05)	0.00	(0.16)	0.00	0.00	2.20	(1.90)	10.31
UBER	1.95	0.16	0.06	3.78	2.78	(1.95)	4.72	(3.13)	12.29
F	1.35	(0.11)	0.00	(0.13)	0.00	0.00	2.55	(2.89)	10.97
T	0.94	0.30	0.27	0.50	0.88	(1.12)	1.90	(1.75)	7.94
A	1.07	(0.03)	0.00	(0.07)	0.00	0.00	2.81	(2.16)	9.03
CRM	1.45	(0.15)	0.00	(0.22)	0.00	0.00	2.21	(3.81)	15.92
JPM	0.89	0.14	0.11	0.15	1.16	(0.97)	1.97	(1.51)	6.85
MRK	1.26	(0.10)	0.00	(2.54)	0.00	0.00	2.15	(2.24)	11.57
XOM	0.91	(0.12)	0.00	(0.25)	0.00	0.00	1.76	(2.14)	5.69

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