Volatility Shares Correlations

BITX Etf

41.39 0.13 0.31%

The current 90-days correlation between Volatility Shares Trust and Grayscale Funds Trust is 0.31 (i.e., Weak diversification). The correlation of Volatility Shares 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.

Volatility Shares Correlation With Market

Modest diversification

The correlation between Volatility Shares Trust and DJI is 0.23 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Volatility Shares Trust and DJI in the same portfolio, assuming nothing else is changed.

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Volatility Shares Trust. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in estimate.

Moving together with Volatility Etf

0.99	GBTC	Grayscale Bitcoin Trust	Pair Corr
0.93	BITO	ProShares Bitcoin Sell-off Trend	Pair Corr
0.89	BLOK	Amplify Transformational	Pair Corr
0.95	BLCN	Siren Nasdaq NexGen	Pair Corr
0.96	BITQ	Bitwise Crypto Industry	Pair Corr
0.85	SPBC	Simplify Equity PLUS	Pair Corr
0.92	BTC	Grayscale Bitcoin Mini	Pair Corr
0.92	DAPP	VanEck Digital Trans	Pair Corr
0.93	CRPT	First Trust SkyBridge	Pair Corr
0.69	FNGU	MicroSectors FANG Index Symbol Change	Pair Corr
0.76	USD	ProShares Ultra Semi	Pair Corr
0.84	FNGO	MicroSectors FANG Index	Pair Corr
0.76	AA	Alcoa Corp	Pair Corr
0.68	DIS	Walt Disney	Pair Corr
0.7	HPQ	HP Inc	Pair Corr
0.84	CAT	Caterpillar	Pair Corr
0.91	MSFT	Microsoft Aggressive Push	Pair Corr
0.78	HD	Home Depot	Pair Corr

Moving against Volatility Etf

0.62	GDXU	MicroSectors Gold Miners	Pair Corr
0.48	LEGR	First Trust Indxx	Pair Corr
0.41	MLPR	ETRACS Quarterly Pay	Pair Corr
0.81	JNJ	Johnson Johnson	Pair Corr
0.81	VZ	Verizon Communications Sell-off Trend	Pair Corr
0.79	KO	Coca Cola Sell-off Trend	Pair Corr
0.77	T	ATT Inc Aggressive Push	Pair Corr
0.51	IBM	International Business	Pair Corr
0.49	PG	Procter Gamble	Pair Corr
0.45	CVX	Chevron Corp	Pair Corr
0.43	MMM	3M Company	Pair Corr
0.41	GE	GE Aerospace	Pair Corr
0.38	CSCO	Cisco Systems	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.02	0.58	-0.53	0.3	0.43	0.28	0.9	-0.74	-0.03	META
MSFT	-0.02		-0.62	0.02	-0.8	0.7	0.89	0.13	0.43	-0.55	MSFT
UBER	0.58	-0.62		-0.28	0.81	-0.27	-0.53	0.51	-0.84	0.57	UBER
F	-0.53	0.02	-0.28		0.0	-0.09	-0.16	-0.37	0.51	0.36	F
T	0.3	-0.8	0.81	0.0		-0.59	-0.71	0.16	-0.65	0.6	T
A	0.43	0.7	-0.27	-0.09	-0.59		0.8	0.62	0.11	-0.34	A
CRM	0.28	0.89	-0.53	-0.16	-0.71	0.8		0.36	0.23	-0.61	CRM
JPM	0.9	0.13	0.51	-0.37	0.16	0.62	0.36		-0.63	0.06	JPM
MRK	-0.74	0.43	-0.84	0.51	-0.65	0.11	0.23	-0.63		-0.32	MRK
XOM	-0.03	-0.55	0.57	0.36	0.6	-0.34	-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	+ 0.8	A
A	+ 0.7	MSFT
JPM	+ 0.62	A

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

Volatility Shares Competition Risk-Adjusted Indicators

There is a big difference between Volatility Etf performing well and Volatility Shares 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 Volatility Shares' 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	1.16	(0.14)	0.00	(0.20)	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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