Virtus ETF Correlations

VSHY Etf

21.73 0.04 0.18%

The current 90-days correlation between Virtus ETF Trust and BondBloxx ETF Trust is -0.07 (i.e., Good diversification). The correlation of Virtus ETF 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.

Virtus ETF Correlation With Market

Very weak diversification

The correlation between Virtus ETF Trust and DJI is 0.41 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Virtus ETF Trust 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 Virtus ETF 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 rate.

For more information on how to buy Virtus Etf please use our How to Invest in Virtus ETF guide.

Moving together with Virtus Etf

0.97	HYG	iShares iBoxx High	Pair Corr
0.98	USHY	iShares Broad USD Sell-off Trend	Pair Corr
0.9	JNK	SPDR Bloomberg High Sell-off Trend	Pair Corr
0.91	SHYG	iShares 0 5	Pair Corr
0.98	HYLB	Xtrackers USD High Sell-off Trend	Pair Corr
0.98	SJNK	SPDR Bloomberg Short Sell-off Trend	Pair Corr
0.76	ANGL	VanEck Fallen Angel	Pair Corr
0.81	FALN	iShares Fallen Angels	Pair Corr
0.91	HYLS	First Trust Tactical	Pair Corr
0.85	HYDW	Xtrackers Low Beta	Pair Corr
0.65	BABX	GraniteShares 175x Long	Pair Corr
0.61	XPP	ProShares Ultra FTSE	Pair Corr
0.66	GDXU	MicroSectors Gold Miners	Pair Corr
0.63	JNUG	Direxion Daily Junior	Pair Corr
0.76	SHNY	Microsectors Gold	Pair Corr
0.66	KO	Coca Cola	Pair Corr
0.84	MMM	3M Company	Pair Corr
0.61	JPM	JPMorgan Chase	Pair Corr
0.87	CSCO	Cisco Systems	Pair Corr
0.74	JNJ	Johnson Johnson	Pair Corr
0.85	GE	GE Aerospace	Pair Corr
0.78	IBM	International Business	Pair Corr
0.69	CVX	Chevron Corp Sell-off Trend	Pair Corr

Moving against Virtus Etf

0.54	WTID	UBS ETRACS	Pair Corr
0.51	MSFT	Microsoft	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.07	0.61	-0.52	0.35	0.4	0.23	0.9	-0.75	0.03	META
MSFT	-0.07		-0.63	0.16	-0.79	0.68	0.89	0.07	0.46	-0.47	MSFT
UBER	0.61	-0.63		-0.4	0.8	-0.24	-0.54	0.55	-0.85	0.5	UBER
F	-0.52	0.16	-0.4		-0.1	0.01	-0.01	-0.39	0.58	0.29	F
T	0.35	-0.79	0.8	-0.1		-0.56	-0.7	0.2	-0.66	0.55	T
A	0.4	0.68	-0.24	0.01	-0.56		0.77	0.61	0.11	-0.25	A
CRM	0.23	0.89	-0.54	-0.01	-0.7	0.77		0.3	0.26	-0.52	CRM
JPM	0.9	0.07	0.55	-0.39	0.2	0.61	0.3		-0.64	0.09	JPM
MRK	-0.75	0.46	-0.85	0.58	-0.66	0.11	0.26	-0.64		-0.3	MRK
XOM	0.03	-0.47	0.5	0.29	0.55	-0.25	-0.52	0.09	-0.3		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	+ 0.8	UBER
CRM	+ 0.77	A
A	+ 0.68	MSFT
UBER	+ 0.61	META

High negative correlations

MRK	- 0.85	UBER
T	- 0.79	MSFT
MRK	- 0.75	META
CRM	- 0.7	T
MRK	- 0.66	T
MRK	- 0.64	JPM

Virtus ETF Competition Risk-Adjusted Indicators

There is a big difference between Virtus Etf performing well and Virtus ETF 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 Virtus ETF'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	1.59	(0.03)	0.00	(0.10)	0.00	0.00	2.57	(3.73)	8.90
MSFT	1.10	(0.17)	0.00	(0.32)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.89	0.35	0.16	0.60	2.15	(2.04)	4.72	(3.13)	12.75
F	1.47	0.08	0.03	0.00	2.22	(1.39)	2.71	(2.89)	10.14
T	1.05	0.27	0.17	0.42	1.61	(1.12)	1.90	(1.75)	11.66
A	1.16	(0.17)	0.00	(0.26)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.38	(0.29)	0.00	(0.33)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.10	0.07	0.04	(0.01)	1.72	(1.04)	1.99	(3.35)	6.85
MRK	1.15	(0.08)	0.00	1.02	0.00	0.00	2.07	(1.80)	11.58
XOM	1.07	0.10	0.10	0.15	1.40	(1.08)	2.55	(2.36)	5.89

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