1x Short Correlations

SVIX Etf

USD 25.90 0.16 0.61%

The current 90-days correlation between 1x Short VIX and 2x Long VIX is -0.97 (i.e., Pay attention - limited upside). The correlation of 1x Short 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.

1x Short Correlation With Market

Weak diversification

The correlation between 1x Short VIX and DJI is 0.3 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding 1x Short VIX 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 1x Short 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 together with SVIX Etf

0.85	DUKH	Ocean Park High	Pair Corr
0.67	BAC	Bank of America Sell-off Trend	Pair Corr
0.79	HD	Home Depot	Pair Corr
0.61	TRV	The Travelers Companies	Pair Corr

Moving against SVIX Etf

0.91	DOG	ProShares Short Dow30	Pair Corr
0.89	RWM	ProShares Short Russ	Pair Corr
0.87	SPXU	ProShares UltraPro Short	Pair Corr
0.58	PSQ	ProShares Short QQQ	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.46	-0.6	-0.42	0.28	0.64	0.51	0.35	0.17	-0.51	META
MSFT	0.46		-0.63	-0.24	0.56	-0.03	0.51	-0.13	-0.1	-0.47	MSFT
UBER	-0.6	-0.63		0.59	-0.48	-0.29	-0.71	-0.39	0.32	0.73	UBER
F	-0.42	-0.24	0.59		0.01	-0.3	-0.06	-0.05	0.2	0.9	F
T	0.28	0.56	-0.48	0.01		-0.05	0.7	0.05	-0.45	-0.23	T
A	0.64	-0.03	-0.29	-0.3	-0.05		0.25	0.51	0.37	-0.18	A
CRM	0.51	0.51	-0.71	-0.06	0.7	0.25		0.56	-0.41	-0.25	CRM
JPM	0.35	-0.13	-0.39	-0.05	0.05	0.51	0.56		-0.08	-0.02	JPM
MRK	0.17	-0.1	0.32	0.2	-0.45	0.37	-0.41	-0.08		0.32	MRK
XOM	-0.51	-0.47	0.73	0.9	-0.23	-0.18	-0.25	-0.02	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

XOM	+ 0.9	F
XOM	+ 0.73	UBER
CRM	+ 0.7	T
A	+ 0.64	META
F	+ 0.59	UBER
T	+ 0.56	MSFT

High negative correlations

CRM	- 0.71	UBER
UBER	- 0.63	MSFT
UBER	- 0.6	META
XOM	- 0.51	META
T	- 0.48	UBER
XOM	- 0.47	MSFT

1x Short Constituents Risk-Adjusted Indicators

There is a big difference between SVIX Etf performing well and 1x Short 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 1x Short'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	1.39	0.08	0.04	0.21	1.54	(1.63)	3.43	(3.15)	7.43
MSFT	0.92	0.04	0.01	1.07	1.58	(0.87)	2.09	(1.73)	8.14
UBER	1.61	(0.26)	0.00	(9.08)	0.00	0.00	2.67	(5.35)	12.29
F	1.38	(0.08)	0.00	(0.17)	0.00	0.00	2.38	(2.81)	11.21
T	0.97	0.08	0.06	0.24	1.10	(1.04)	1.91	(1.84)	7.96
A	1.14	0.16	0.11	0.88	1.11	(1.38)	2.72	(2.11)	8.06
CRM	1.44	0.20	0.11	0.57	1.46	(1.70)	3.16	(2.88)	14.80
JPM	1.07	0.25	0.17	4.06	1.08	(1.28)	1.92	(1.42)	15.87
MRK	1.00	(0.17)	0.00	(0.68)	0.00	0.00	1.74	(2.17)	5.17
XOM	0.76	(0.15)	0.00	(0.37)	0.00	0.00	1.71	(1.67)	6.06

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