2x Long Correlations

UVIX Etf

USD 10.43 1.25 13.62%

The current 90-days correlation between 2x Long VIX and WisdomTree International Efficient is -0.43 (i.e., Very good diversification). The correlation of 2x Long 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.

2x Long Correlation With Market

Pay attention - limited upside

The correlation between 2x Long VIX and DJI is -0.72 (i.e., Pay attention - limited upside) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding 2x Long VIX and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with UVIX Etf

Check out World Market Map to better understand how to build diversified portfolios, which includes a position in 2x Long VIX. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.

Moving against UVIX Etf

0.84	SSO	ProShares Ultra SP500	Pair Corr
0.84	FNGO	MicroSectors FANG Index	Pair Corr
0.83	FNGG	Direxion Daily Select	Pair Corr
0.75	QLD	ProShares Ultra QQQ	Pair Corr
0.74	SPXL	Direxion Daily SP500	Pair Corr
0.74	UPRO	ProShares UltraPro SP500	Pair Corr
0.72	BULZ	MicroSectors Solactive	Pair Corr
0.65	LABU	Direxion Daily SP	Pair Corr
0.63	TECL	Direxion Daily Technology	Pair Corr
0.63	USD	ProShares Ultra Semi	Pair Corr
0.61	BITS	Global X Blockchain	Pair Corr
0.6	WGMI	Valkyrie Bitcoin Miners	Pair Corr
0.6	SATO	Invesco Alerian Galaxy	Pair Corr
0.58	FNGU	MicroSectors FANG Index Symbol Change	Pair Corr
0.55	WEBL	Direxion Daily Dow	Pair Corr
0.4	GUSH	Direxion Daily SP	Pair Corr
0.32	NRGU	Bank of Montreal	Pair Corr
0.81	YFYA	Listed Funds Trust	Pair Corr
0.81	XOM	Exxon Mobil Corp Aggressive Push	Pair Corr
0.79	GE	GE Aerospace	Pair Corr
0.79	AXP	American Express	Pair Corr
0.75	JPM	JPMorgan Chase	Pair Corr
0.67	INTC	Intel Downward Rally	Pair Corr
0.61	AA	Alcoa Corp	Pair Corr
0.55	MMM	3M Company	Pair Corr
0.53	JNJ	Johnson Johnson	Pair Corr
0.33	MRK	Merck Company Aggressive Push	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.02	0.08	-0.71	0.77	-0.73	-0.25	-0.52	-0.5	-0.52	META
MSFT	0.02		0.14	0.23	-0.42	0.33	0.05	-0.01	0.23	-0.04	MSFT
UBER	0.08	0.14		0.03	0.09	-0.05	0.03	0.46	-0.15	0.29	UBER
F	-0.71	0.23	0.03		-0.76	0.8	0.37	0.5	0.57	0.67	F
T	0.77	-0.42	0.09	-0.76		-0.9	-0.27	-0.38	-0.58	-0.48	T
A	-0.73	0.33	-0.05	0.8	-0.9		0.32	0.46	0.69	0.6	A
CRM	-0.25	0.05	0.03	0.37	-0.27	0.32		0.02	0.1	0.37	CRM
JPM	-0.52	-0.01	0.46	0.5	-0.38	0.46	0.02		0.06	0.75	JPM
MRK	-0.5	0.23	-0.15	0.57	-0.58	0.69	0.1	0.06		0.29	MRK
XOM	-0.52	-0.04	0.29	0.67	-0.48	0.6	0.37	0.75	0.29		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

A	+ 0.8	F
T	+ 0.77	META
XOM	+ 0.75	JPM
MRK	+ 0.69	A
XOM	+ 0.67	F
XOM	+ 0.6	A

High negative correlations

A	- 0.9	T
T	- 0.76	F
A	- 0.73	META
F	- 0.71	META
MRK	- 0.58	T
XOM	- 0.52	META

2x Long Constituents Risk-Adjusted Indicators

There is a big difference between UVIX Etf performing well and 2x Long 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 2x Long'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	1.29	(0.50)	0.00	(0.37)	0.00	0.00	1.87	(2.72)	13.52
MSFT	0.78	(0.06)	0.00	(0.30)	0.00	0.00	1.85	(1.98)	5.08
UBER	1.43	(0.07)	(0.04)	0.04	1.81	(1.52)	3.34	(2.71)	9.09
F	1.37	0.12	0.11	0.19	1.44	(1.62)	3.66	(1.73)	16.30
T	0.97	(0.15)	0.00	12.00	0.00	0.00	1.82	(2.32)	6.25
A	1.31	0.25	0.21	0.31	0.93	(1.48)	3.82	(2.04)	10.46
CRM	1.56	0.14	(0.01)	(0.19)	2.15	(1.52)	3.59	(3.61)	9.91
JPM	0.80	0.04	0.02	0.17	0.98	(0.80)	1.67	(1.74)	4.74
MRK	1.24	0.11	0.08	0.23	1.13	(1.48)	3.01	(2.36)	11.45
XOM	0.89	0.12	0.04	0.40	1.03	(0.88)	1.77	(1.93)	4.70

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