GraniteShares 15x Correlations

NVDL Etf

USD 89.39 0.64 0.71%

The current 90-days correlation between GraniteShares 15x Long and Alpha Architect High is -0.02 (i.e., Good diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as GraniteShares 15x moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GraniteShares 15x Long moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

GraniteShares 15x Correlation With Market

Modest diversification

The correlation between GraniteShares 15x Long and DJI is 0.29 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding GraniteShares 15x Long and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with GraniteShares Etf

Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in GraniteShares 15x Long. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in small area income & poverty estimates.

Moving together with GraniteShares Etf

0.78

TECL

Direxion Daily Technology

Pair Corr

Moving against GraniteShares Etf

0.51	TRV	The Travelers Companies	Pair Corr
0.49	LABU	Direxion Daily SP	Pair Corr
0.46	FNGU	MicroSectors FANG Index Symbol Change	Pair Corr
0.73	JNJ	Johnson Johnson	Pair Corr
0.65	MCD	McDonalds	Pair Corr
0.59	MRK	Merck Company	Pair Corr
0.42	CSCO	Cisco Systems	Pair Corr
0.36	AA	Alcoa Corp	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.67	0.45	-0.54	0.38	-0.39	0.24	-0.23	-0.42	-0.58	META
MSFT	0.67		0.85	-0.54	0.42	-0.07	-0.02	-0.42	-0.81	-0.64	MSFT
UBER	0.45	0.85		-0.58	0.52	0.09	-0.25	-0.47	-0.85	-0.67	UBER
F	-0.54	-0.54	-0.58		-0.64	0.28	0.34	0.54	0.63	0.77	F
T	0.38	0.42	0.52	-0.64		0.03	-0.63	-0.47	-0.38	-0.58	T
A	-0.39	-0.07	0.09	0.28	0.03		-0.42	-0.34	0.02	0.04	A
CRM	0.24	-0.02	-0.25	0.34	-0.63	-0.42		0.49	0.2	0.3	CRM
JPM	-0.23	-0.42	-0.47	0.54	-0.47	-0.34	0.49		0.57	0.56	JPM
MRK	-0.42	-0.81	-0.85	0.63	-0.38	0.02	0.2	0.57		0.76	MRK
XOM	-0.58	-0.64	-0.67	0.77	-0.58	0.04	0.3	0.56	0.76		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

UBER	+ 0.85	MSFT
XOM	+ 0.77	F
XOM	+ 0.76	MRK
MSFT	+ 0.67	META
MRK	+ 0.63	F
MRK	+ 0.57	JPM

High negative correlations

MRK	- 0.85	UBER
MRK	- 0.81	MSFT
XOM	- 0.67	UBER
T	- 0.64	F
XOM	- 0.64	MSFT
CRM	- 0.63	T

GraniteShares 15x Competition Risk-Adjusted Indicators

There is a big difference between GraniteShares Etf performing well and GraniteShares 15x 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 15x'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	(0.22)	0.00	(0.19)	0.00	0.00	2.30	(2.72)	13.52
MSFT	0.92	(0.17)	0.00	(0.25)	0.00	0.00	1.78	(2.50)	5.08
UBER	1.45	(0.30)	0.00	(0.23)	0.00	0.00	2.60	(3.82)	10.51
F	1.48	0.12	0.08	0.14	1.67	(1.63)	3.38	(2.63)	16.30
T	0.96	(0.21)	0.00	(0.86)	0.00	0.00	1.61	(2.18)	5.75
A	1.17	0.05	0.04	0.10	1.25	(1.28)	2.12	(2.21)	11.03
CRM	1.51	0.06	0.03	0.13	1.97	(1.51)	3.66	(2.92)	9.91
JPM	1.08	(0.02)	0.00	0.04	1.41	(1.11)	2.00	(1.91)	7.02
MRK	1.32	0.33	0.25	0.46	1.03	(1.70)	3.84	(1.98)	11.45
XOM	0.91	0.12	0.08	0.52	0.82	(1.01)	1.96	(1.41)	4.99

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