Gabelli ETFs Correlations

GGRW Etf

USD 28.97 0.02 0.07%

The current 90-days correlation between Gabelli ETFs Trust and Gabelli ETFs Trust is 0.71 (i.e., Poor diversification). The correlation of Gabelli ETFs 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.

Gabelli ETFs Correlation With Market

Good diversification

The correlation between Gabelli ETFs Trust and DJI is -0.04 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Gabelli ETFs Trust and DJI in the same portfolio, assuming nothing else is changed.

Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Gabelli ETFs 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 metropolitan statistical area.

Moving together with Gabelli Etf

0.88	VGT	Vanguard Information	Pair Corr
0.89	XLK	Technology Select Sector	Pair Corr
0.91	IYW	iShares Technology ETF	Pair Corr
0.83	SMH	VanEck Semiconductor ETF	Pair Corr
0.83	SOXX	iShares Semiconductor ETF	Pair Corr
0.72	CIBR	First Trust NASDAQ	Pair Corr
0.88	FTEC	Fidelity MSCI Information	Pair Corr
0.96	IGV	iShares Expanded Tech	Pair Corr
0.98	FDN	First Trust Dow	Pair Corr
0.96	IGM	iShares Expanded Tech	Pair Corr
0.98	VTI	Vanguard Total Stock	Pair Corr
0.8	GBTC	Grayscale Bitcoin Trust	Pair Corr
0.94	VBK	Vanguard Small Cap	Pair Corr
0.86	AXP	American Express	Pair Corr
0.84	JPM	JPMorgan Chase	Pair Corr
0.83	BAC	Bank of America	Pair Corr
0.71	WMT	Walmart	Pair Corr
0.74	BA	Boeing	Pair Corr

Moving against Gabelli Etf

0.97	FNGD	MicroSectors FANG Index	Pair Corr
0.5	JPST	JPMorgan Ultra Short	Pair Corr
0.53	VZ	Verizon Communications	Pair Corr
0.52	TRV	The Travelers Companies	Pair Corr
0.37	MCD	McDonalds	Pair Corr
0.35	PG	Procter Gamble	Pair Corr
0.35	MRK	Merck Company	Pair Corr
0.34	JNJ	Johnson Johnson	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.04	0.59	-0.54	0.32	0.42	0.26	0.9	-0.75	-0.01	META
MSFT	-0.04		-0.62	0.09	-0.79	0.69	0.89	0.1	0.44	-0.52	MSFT
UBER	0.59	-0.62		-0.35	0.8	-0.25	-0.53	0.53	-0.85	0.54	UBER
F	-0.54	0.09	-0.35		-0.05	-0.04	-0.08	-0.39	0.56	0.31	F
T	0.32	-0.79	0.8	-0.05		-0.57	-0.71	0.17	-0.65	0.58	T
A	0.42	0.69	-0.25	-0.04	-0.57		0.79	0.62	0.1	-0.3	A
CRM	0.26	0.89	-0.53	-0.08	-0.71	0.79		0.33	0.24	-0.58	CRM
JPM	0.9	0.1	0.53	-0.39	0.17	0.62	0.33		-0.63	0.07	JPM
MRK	-0.75	0.44	-0.85	0.56	-0.65	0.1	0.24	-0.63		-0.31	MRK
XOM	-0.01	-0.52	0.54	0.31	0.58	-0.3	-0.58	0.07	-0.31		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	+ 0.79	A
A	+ 0.69	MSFT
JPM	+ 0.62	A

High negative correlations

MRK	- 0.85	UBER
T	- 0.79	MSFT
MRK	- 0.75	META
CRM	- 0.71	T
MRK	- 0.65	T
MRK	- 0.63	JPM

Gabelli ETFs Competition Risk-Adjusted Indicators

There is a big difference between Gabelli Etf performing well and Gabelli ETFs 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 Gabelli ETFs' 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	0.02	0.00	(0.05)	0.00	0.00	2.57	(3.73)	8.90
MSFT	1.12	(0.15)	0.00	(0.28)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.88	0.41	0.19	0.74	2.06	(2.04)	4.72	(3.13)	12.75
F	1.47	0.07	0.03	0.00	2.22	(1.39)	2.71	(2.89)	10.14
T	1.04	0.26	0.16	0.40	1.61	(1.11)	1.90	(1.75)	11.66
A	1.15	(0.15)	0.00	(0.23)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.38	(0.27)	0.00	(0.31)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.10	0.09	0.05	0.02	1.74	(1.04)	1.99	(3.35)	6.85
MRK	1.17	(0.11)	0.00	1.52	0.00	0.00	2.07	(1.80)	11.58
XOM	1.06	0.11	0.10	0.17	1.39	(1.08)	2.55	(2.36)	5.89

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