GraniteShares ETF Correlations

CONL Etf

USD 57.34 3.28 6.07%

The current 90-days correlation between GraniteShares ETF Trust and Direxion Daily SP is -0.31 (i.e., Very good diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as GraniteShares ETF moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GraniteShares ETF Trust moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

GraniteShares ETF Correlation With Market

Poor diversification

The correlation between GraniteShares ETF Trust and DJI is 0.63 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding GraniteShares ETF 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 GraniteShares 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 board of governors.

For more information on how to buy GraniteShares Etf please use our How to buy in GraniteShares Etf guide.

Moving together with GraniteShares Etf

0.74	SSO	ProShares Ultra SP500	Pair Corr
0.74	SPXL	Direxion Daily SP500	Pair Corr
0.72	QLD	ProShares Ultra QQQ	Pair Corr
0.74	UPRO	ProShares UltraPro SP500	Pair Corr
0.61	TECL	Direxion Daily Technology	Pair Corr
0.65	GUSH	Direxion Daily SP	Pair Corr
0.79	FNGU	MicroSectors FANG Index	Pair Corr
0.88	UYG	ProShares Ultra Fina	Pair Corr
0.66	DSJA	DSJA	Pair Corr
0.75	RSPY	Tuttle Capital Management	Pair Corr
0.87	MEME	Roundhill Investments	Pair Corr
0.62	HPQ	HP Inc	Pair Corr
0.89	JPM	JPMorgan Chase Fiscal Year End 10th of January 2025	Pair Corr
0.7	WMT	Walmart Aggressive Push	Pair Corr
0.9	BAC	Bank of America Fiscal Year End 10th of January 2025	Pair Corr
0.65	AA	Alcoa Corp Fiscal Year End 15th of January 2025	Pair Corr

Moving against GraniteShares Etf

0.31	LABU	Direxion Daily SP	Pair Corr
0.86	PFE	Pfizer Inc Aggressive Push	Pair Corr
0.81	KO	Coca Cola Aggressive Push	Pair Corr
0.76	MRK	Merck Company Fiscal Year End 6th of February 2025	Pair Corr
0.45	BA	Boeing Fiscal Year End 29th of January 2025	Pair Corr
0.4	VZ	Verizon Communications Aggressive Push	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.29	0.57	-0.02	0.6	0.02	0.68	0.28	-0.56	0.72	META
MSFT	0.29		0.24	0.12	0.2	-0.02	0.02	-0.17	0.11	-0.18	MSFT
UBER	0.57	0.24		-0.02	0.02	0.26	0.05	-0.1	0.04	0.36	UBER
F	-0.02	0.12	-0.02		0.0	-0.37	0.36	0.62	-0.24	0.29	F
T	0.6	0.2	0.02	0.0		-0.48	0.73	0.49	-0.76	0.39	T
A	0.02	-0.02	0.26	-0.37	-0.48		-0.48	-0.65	0.64	-0.01	A
CRM	0.68	0.02	0.05	0.36	0.73	-0.48		0.83	-0.92	0.68	CRM
JPM	0.28	-0.17	-0.1	0.62	0.49	-0.65	0.83		-0.83	0.51	JPM
MRK	-0.56	0.11	0.04	-0.24	-0.76	0.64	-0.92	-0.83		-0.57	MRK
XOM	0.72	-0.18	0.36	0.29	0.39	-0.01	0.68	0.51	-0.57		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	+ 0.83	CRM
CRM	+ 0.73	T
XOM	+ 0.72	META
CRM	+ 0.68	META
XOM	+ 0.68	CRM
MRK	+ 0.64	A

High negative correlations

MRK	- 0.92	CRM
MRK	- 0.83	JPM
MRK	- 0.76	T
JPM	- 0.65	A
XOM	- 0.57	MRK
MRK	- 0.56	META

GraniteShares ETF Competition Risk-Adjusted Indicators

There is a big difference between GraniteShares Etf performing well and GraniteShares 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 GraniteShares 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	1.05	0.00	(0.03)	0.12	1.40	(1.14)	2.62	(3.15)	8.02
MSFT	0.88	(0.08)	(0.07)	0.01	1.51	(0.82)	2.09	(1.85)	8.19
UBER	1.60	(0.14)	0.00	(0.02)	0.00	0.00	2.69	(2.44)	20.10
F	1.43	(0.12)	(0.02)	0.04	2.19	(1.43)	2.75	(2.90)	11.72
T	0.92	0.28	0.14	24.43	0.85	(1.04)	2.56	(1.72)	6.47
A	1.14	(0.13)	0.00	(0.12)	0.00	0.00	2.29	(2.42)	9.02
CRM	1.28	0.29	0.25	0.37	0.90	(1.52)	3.18	(1.91)	9.09
JPM	1.12	0.00	0.06	0.12	1.44	(1.17)	2.05	(2.00)	15.87
MRK	0.85	(0.26)	0.00	(1.12)	0.00	0.00	1.73	(2.13)	4.89
XOM	1.03	0.03	(0.01)	0.18	1.21	(1.11)	2.14	(2.09)	5.78

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