EXD Correlations

The correlation of EXD 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.

Check out Investing Opportunities 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 interest.

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.23	0.69	-0.47	0.5	0.31	0.07	0.89	-0.78	0.2	META
MSFT	-0.23		-0.65	0.44	-0.75	0.62	0.88	-0.08	0.54	-0.16	MSFT
UBER	0.69	-0.65		-0.51	0.8	-0.22	-0.56	0.62	-0.86	0.42	UBER
F	-0.47	0.44	-0.51		-0.27	0.21	0.3	-0.37	0.66	0.25	F
T	0.5	-0.75	0.8	-0.27		-0.51	-0.65	0.32	-0.7	0.39	T
A	0.31	0.62	-0.22	0.21	-0.51		0.72	0.54	0.15	0.04	A
CRM	0.07	0.88	-0.56	0.3	-0.65	0.72		0.16	0.36	-0.19	CRM
JPM	0.89	-0.08	0.62	-0.37	0.32	0.54	0.16		-0.67	0.23	JPM
MRK	-0.78	0.54	-0.86	0.66	-0.7	0.15	0.36	-0.67		-0.24	MRK
XOM	0.2	-0.16	0.42	0.25	0.39	0.04	-0.19	0.23	-0.24		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	+ 0.89	META
CRM	+ 0.88	MSFT
T	+ 0.8	UBER
CRM	+ 0.72	A
UBER	+ 0.69	META
MRK	+ 0.66	F

High negative correlations

MRK	- 0.86	UBER
MRK	- 0.78	META
T	- 0.75	MSFT
MRK	- 0.7	T
MRK	- 0.67	JPM
CRM	- 0.65	T

EXD Competition Risk-Adjusted Indicators

There is a big difference between EXD Etf performing well and EXD 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 EXD'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	1.59	0.08	0.00	(0.03)	0.00	0.00	2.57	(3.59)	8.90
MSFT	1.10	(0.12)	0.00	(0.30)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.92	0.20	0.10	0.28	2.38	(2.01)	4.72	(3.30)	12.75
F	1.42	0.05	0.00	(0.06)	0.00	0.00	2.71	(2.89)	10.14
T	1.07	0.24	0.16	0.33	1.64	(1.12)	1.90	(2.12)	11.66
A	1.16	(0.12)	0.00	(0.23)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.45	(0.26)	0.00	(0.35)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.10	0.04	0.00	(0.08)	0.00	0.00	1.99	(3.35)	6.85
MRK	1.21	(0.12)	0.00	1.56	0.00	0.00	2.08	(2.24)	11.57
XOM	1.04	0.04	0.07	(0.02)	1.37	(1.07)	2.55	(2.36)	5.89

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EXD Correlations

Related Correlations Analysis

Correlation Matchups

EXD Competition Risk-Adjusted Indicators

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