EA Series Correlations

SHOC Etf

USD 45.66 0.14 0.31%

The current 90-days correlation between EA Series Trust and EA Series Trust is -0.15 (i.e., Good diversification). The correlation of EA Series 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.

EA Series Correlation With Market

Average diversification

The correlation between EA Series Trust and DJI is 0.1 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding EA Series Trust and DJI in the same portfolio, assuming nothing else is changed.

Check out World Market Map to better understand how to build diversified portfolios, which includes a position in EA Series 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 persons.

Moving against SHOC Etf

0.34	SWP	SWP Growth Income	Pair Corr
0.38	PG	Procter Gamble	Pair Corr
0.33	VZ	Verizon Communications	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.53	-0.4	-0.48	0.6	0.78	0.5	0.64	-0.12	-0.63	META
MSFT	0.53		-0.46	-0.22	0.43	0.35	0.63	0.25	0.01	-0.43	MSFT
UBER	-0.4	-0.46		0.64	-0.29	-0.17	-0.62	-0.21	0.25	0.77	UBER
F	-0.48	-0.22	0.64		0.05	-0.31	-0.06	-0.05	0.05	0.9	F
T	0.6	0.43	-0.29	0.05		0.43	0.72	0.6	-0.15	-0.19	T
A	0.78	0.35	-0.17	-0.31	0.43		0.29	0.73	-0.18	-0.4	A
CRM	0.5	0.63	-0.62	-0.06	0.72	0.29		0.51	-0.25	-0.34	CRM
JPM	0.64	0.25	-0.21	-0.05	0.6	0.73	0.51		-0.52	-0.25	JPM
MRK	-0.12	0.01	0.25	0.05	-0.15	-0.18	-0.25	-0.52		0.13	MRK
XOM	-0.63	-0.43	0.77	0.9	-0.19	-0.4	-0.34	-0.25	0.13		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
A	+ 0.78	META
XOM	+ 0.77	UBER
JPM	+ 0.73	A
CRM	+ 0.72	T
JPM	+ 0.64	META

High negative correlations

XOM	- 0.63	META
CRM	- 0.62	UBER
MRK	- 0.52	JPM
F	- 0.48	META
UBER	- 0.46	MSFT
XOM	- 0.43	MSFT

EA Series Competition Risk-Adjusted Indicators

There is a big difference between SHOC Etf performing well and EA Series 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 EA Series' 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	1.40	0.26	0.13	0.73	1.40	(1.60)	3.43	(2.31)	7.43
MSFT	1.11	(0.04)	0.00	(0.73)	0.00	0.00	2.20	(2.79)	10.31
UBER	1.55	(0.21)	0.00	(2.89)	0.00	0.00	2.67	(5.35)	12.29
F	1.46	(0.15)	0.00	(0.17)	0.00	0.00	2.57	(2.90)	11.21
T	1.00	0.11	0.07	0.29	1.06	(1.12)	1.91	(1.84)	7.94
A	1.19	0.20	0.13	0.49	1.05	(1.41)	2.92	(2.16)	8.06
CRM	1.55	0.24	0.11	0.87	1.52	(1.81)	3.70	(2.95)	14.80
JPM	1.03	0.27	0.18	0.92	1.00	(1.23)	1.92	(1.42)	15.87
MRK	1.00	(0.08)	0.00	(0.29)	0.00	0.00	2.00	(2.13)	5.24
XOM	0.86	(0.19)	0.00	(0.33)	0.00	0.00	1.71	(1.93)	6.06

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