SHP ETF Correlations

CSHI Etf

USD 49.85 0.02 0.04%

The current 90-days correlation between SHP ETF Trust and SHP ETF Trust is 0.31 (i.e., Weak diversification). The correlation of SHP 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.

SHP ETF Correlation With Market

Average diversification

The correlation between SHP ETF Trust and DJI is 0.17 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding SHP 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 SHP 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.

Moving together with SHP Etf

0.99	BIL	SPDR Bloomberg 1	Pair Corr
0.99	SHV	iShares Short Treasury	Pair Corr
0.96	JPST	JPMorgan Ultra Short	Pair Corr
0.99	USFR	WisdomTree Floating Rate	Pair Corr
0.98	ICSH	iShares Ultra Short Sell-off Trend	Pair Corr
0.97	FTSM	First Trust Enhanced	Pair Corr
0.99	SGOV	iShares 0 3	Pair Corr
0.99	GBIL	Goldman Sachs Access	Pair Corr
0.99	TFLO	iShares Treasury Floating	Pair Corr
0.99	FLRN	SPDR Bloomberg Investment	Pair Corr
0.92	VTI	Vanguard Total Stock	Pair Corr
0.91	SPY	SPDR SP 500 Aggressive Push	Pair Corr
0.91	IVV	iShares Core SP	Pair Corr
0.85	VTV	Vanguard Value Index Sell-off Trend	Pair Corr
0.93	VUG	Vanguard Growth Index	Pair Corr
0.93	VO	Vanguard Mid Cap	Pair Corr
0.89	VB	Vanguard Small Cap	Pair Corr
0.91	AXP	American Express Fiscal Year End 24th of January 2025	Pair Corr
0.84	INTC	Intel Fiscal Year End 23rd of January 2025	Pair Corr
0.84	DIS	Walt Disney Aggressive Push	Pair Corr
0.96	CSCO	Cisco Systems Aggressive Push	Pair Corr
0.84	TRV	The Travelers Companies Fiscal Year End 17th of January 2025	Pair Corr
0.88	CVX	Chevron Corp Fiscal Year End 7th of February 2025	Pair Corr
0.78	CAT	Caterpillar Fiscal Year End 3rd of February 2025	Pair Corr

Moving against SHP Etf

0.82	BND	Vanguard Total Bond	Pair Corr
0.7	VEA	Vanguard FTSE Developed	Pair Corr
0.94	MRK	Merck Company Fiscal Year End 6th of February 2025	Pair Corr
0.84	JNJ	Johnson Johnson Fiscal Year End 28th of January 2025	Pair Corr
0.78	BA	Boeing Fiscal Year End 29th of January 2025	Pair Corr
0.73	PFE	Pfizer Inc Aggressive Push	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.28	0.56	0.02	0.58	0.03	0.65	0.28	-0.54	0.71	META
MSFT	0.28		0.23	0.14	0.19	-0.02	0.03	-0.13	0.11	-0.19	MSFT
UBER	0.56	0.23		-0.04	-0.02	0.27	0.01	-0.13	0.06	0.35	UBER
F	0.02	0.14	-0.04		0.14	-0.4	0.44	0.67	-0.31	0.32	F
T	0.58	0.19	-0.02	0.14		-0.51	0.77	0.56	-0.78	0.37	T
A	0.03	-0.02	0.27	-0.4	-0.51		-0.48	-0.64	0.64	-0.01	A
CRM	0.65	0.03	0.01	0.44	0.77	-0.48		0.85	-0.92	0.66	CRM
JPM	0.28	-0.13	-0.13	0.67	0.56	-0.64	0.85		-0.83	0.49	JPM
MRK	-0.54	0.11	0.06	-0.31	-0.78	0.64	-0.92	-0.83		-0.56	MRK
XOM	0.71	-0.19	0.35	0.32	0.37	-0.01	0.66	0.49	-0.56		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	+ 0.85	CRM
CRM	+ 0.77	T
XOM	+ 0.71	META
JPM	+ 0.67	F
XOM	+ 0.66	CRM
CRM	+ 0.65	META

High negative correlations

MRK	- 0.92	CRM
MRK	- 0.83	JPM
MRK	- 0.78	T
JPM	- 0.64	A
XOM	- 0.56	MRK
MRK	- 0.54	META

SHP ETF Competition Risk-Adjusted Indicators

There is a big difference between SHP Etf performing well and SHP 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 SHP 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	1.06	0.06	0.02	0.21	1.39	(1.15)	2.62	(3.15)	8.02
MSFT	0.90	(0.03)	(0.04)	0.07	1.49	(0.86)	2.09	(1.85)	8.19
UBER	1.62	(0.13)	(0.05)	0.00	2.26	(1.79)	2.69	(2.53)	20.10
F	1.43	(0.15)	(0.04)	0.02	2.24	(1.39)	2.53	(2.90)	11.21
T	0.92	0.26	0.12	(9.48)	0.86	(1.06)	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	1.29	0.26	0.22	0.36	0.91	(1.53)	3.18	(1.91)	9.09
JPM	1.12	(0.01)	0.06	0.12	1.42	(1.19)	2.05	(2.00)	15.87
MRK	0.89	(0.23)	0.00	(0.76)	0.00	0.00	2.00	(2.13)	4.89
XOM	1.02	(0.06)	(0.09)	0.00	1.34	(1.07)	2.10	(2.09)	5.74

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