Element ETFs Correlations

Summary

CHRG Etf

20.28 0.26 1.27%

The current 90-days correlation between Element ETFs and Invesco Electric Vehicle is 0.09 (i.e., Significant diversification). The correlation of Element 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.

Element ETFs Correlation With Market

Significant diversification

The correlation between Element ETFs and DJI is 0.09 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Element ETFs and DJI in the same portfolio, assuming nothing else is changed.

Check out Trending Equities to better understand how to build diversified portfolios. 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 against Element Etf

0.6	VB	Vanguard Small Cap	Pair Corr
0.59	VO	Vanguard Mid Cap	Pair Corr
0.47	VTV	Vanguard Value Index	Pair Corr
0.46	VTI	Vanguard Total Stock	Pair Corr
0.46	RFDA	RiverFront Dynamic	Pair Corr
0.4	SPY	SPDR SP 500	Pair Corr
0.4	IVV	iShares Core SP	Pair Corr
0.66	CVX	Chevron Corp Earnings Call Today	Pair Corr
0.57	JPM	JPMorgan Chase	Pair Corr
0.54	HD	Home Depot	Pair Corr
0.47	WMT	Walmart Aggressive Push	Pair Corr
0.45	IBM	International Business Upward Rally	Pair Corr
0.34	PG	Procter Gamble	Pair Corr
0.33	MMM	3M Company	Pair Corr
0.31	VZ	Verizon Communications	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.62	-0.43	-0.5	0.58	0.77	0.5	0.62	-0.15	-0.63	META
MSFT	0.62		-0.46	-0.23	0.48	0.4	0.6	0.3	-0.01	-0.46	MSFT
UBER	-0.43	-0.46		0.65	-0.3	-0.2	-0.71	-0.25	0.31	0.78	UBER
F	-0.5	-0.23	0.65		0.05	-0.32	-0.17	-0.06	0.09	0.9	F
T	0.58	0.48	-0.3	0.05		0.41	0.67	0.59	-0.17	-0.17	T
A	0.77	0.4	-0.2	-0.32	0.41		0.25	0.72	-0.21	-0.39	A
CRM	0.5	0.6	-0.71	-0.17	0.67	0.25		0.5	-0.29	-0.41	CRM
JPM	0.62	0.3	-0.25	-0.06	0.59	0.72	0.5		-0.55	-0.24	JPM
MRK	-0.15	-0.01	0.31	0.09	-0.17	-0.21	-0.29	-0.55		0.16	MRK
XOM	-0.63	-0.46	0.78	0.9	-0.17	-0.39	-0.41	-0.24	0.16		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

XOM	+ 0.9	F
XOM	+ 0.78	UBER
A	+ 0.77	META
JPM	+ 0.72	A
CRM	+ 0.67	T
F	+ 0.65	UBER

High negative correlations

CRM	- 0.71	UBER
XOM	- 0.63	META
MRK	- 0.55	JPM
F	- 0.5	META
XOM	- 0.46	MSFT
UBER	- 0.46	MSFT

Element ETFs Competition Risk-Adjusted Indicators

There is a big difference between Element Etf performing well and Element 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 Element 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	1.41	0.26	0.13	0.73	1.40	(1.61)	3.43	(2.31)	7.43
MSFT	1.12	(0.03)	0.00	(0.42)	0.00	0.00	2.20	(2.79)	7.31
UBER	1.56	(0.23)	0.00	(3.08)	0.00	0.00	2.67	(5.35)	12.29
F	1.47	(0.18)	0.00	(0.20)	0.00	0.00	2.57	(2.90)	11.21
T	1.00	0.10	0.04	0.30	1.08	(1.12)	1.91	(1.84)	7.94
A	1.20	0.19	0.11	0.48	1.06	(1.46)	2.92	(2.16)	8.06
CRM	1.51	0.34	0.15	2.71	1.42	(1.76)	3.70	(2.88)	14.80
JPM	1.05	0.25	0.15	0.96	1.05	(1.23)	1.92	(1.42)	15.87
MRK	1.03	(0.11)	0.00	(0.43)	0.00	0.00	2.00	(2.13)	5.24
XOM	0.82	(0.16)	0.00	(0.28)	0.00	0.00	1.71	(1.74)	6.06

Element ETFs Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Element ETFs etf to make a market-neutral strategy. Peer analysis of Element ETFs could also be used in its relative valuation, which is a method of valuing Element ETFs by comparing valuation metrics with similar companies.

Invesco Electric Vehicle WisdomTree Battery Value KraneShares Rbb Fund Direxion Shares ETF American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup SentinelOne CVS Health Corp Chevron Corp Home Depot International Business Machines

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