Eaton Vance Correlations

EVG Etf

USD 11.13 0.03 0.27%

The current 90-days correlation between Eaton Vance Short and Doubleline Opportunistic Credit is 0.55 (i.e., Very weak diversification). The correlation of Eaton Vance 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.

Eaton Vance Correlation With Market

Poor diversification

The correlation between Eaton Vance Short and DJI is 0.6 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Eaton Vance Short and DJI in the same portfolio, assuming nothing else is changed.

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Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Eaton Vance Short. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in real.

Moving together with Eaton Etf

0.62	LUX	Tema ETF Trust	Pair Corr
0.68	SWP	SWP Growth Income	Pair Corr
0.61	DUKH	Ocean Park High	Pair Corr
0.72	FTA	First Trust Large	Pair Corr
0.62	VTIP	Vanguard Short Term Sell-off Trend	Pair Corr
0.63	CALF	Pacer Small Cap Low Volatility	Pair Corr
0.68	SMOT	VanEck ETF Trust Low Volatility	Pair Corr
0.75	QUVU	Hartford Quality Value	Pair Corr
0.68	XYLG	Global X SP	Pair Corr
0.65	IMCB	iShares Morningstar Mid	Pair Corr
0.69	VFH	Vanguard Financials Index	Pair Corr
0.71	DYTA	SGI Dynamic Tactical	Pair Corr
0.66	ILF	iShares Latin America	Pair Corr
0.63	FSIG	First Trust Exchange	Pair Corr
0.65	NTSI	WisdomTree International	Pair Corr
0.63	KWT	iShares MSCI Kuwait Low Volatility	Pair Corr
0.62	SHE	SPDR SSGA Gender	Pair Corr
0.64	SPXL	Direxion Daily SP500	Pair Corr

Moving against Eaton Etf

0.51	FNGD	MicroSectors FANG Index	Pair Corr
0.33	SMI	Van Eck	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.97	0.83	0.84	0.63	0.9	0.52	0.94	-0.11	0.33	META
MSFT	0.97		0.9	0.87	0.63	0.82	0.56	0.95	-0.23	0.22	MSFT
UBER	0.83	0.9		0.9	0.55	0.72	0.77	0.91	-0.29	0.16	UBER
F	0.84	0.87	0.9		0.65	0.83	0.66	0.92	-0.05	0.42	F
T	0.63	0.63	0.55	0.65		0.72	0.31	0.67	0.29	0.45	T
A	0.9	0.82	0.72	0.83	0.72		0.49	0.87	0.19	0.61	A
CRM	0.52	0.56	0.77	0.66	0.31	0.49		0.57	-0.18	0.14	CRM
JPM	0.94	0.95	0.91	0.92	0.67	0.87	0.57		-0.13	0.36	JPM
MRK	-0.11	-0.23	-0.29	-0.05	0.29	0.19	-0.18	-0.13		0.55	MRK
XOM	0.33	0.22	0.16	0.42	0.45	0.61	0.14	0.36	0.55		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

MSFT	+ 0.97	META
JPM	+ 0.95	MSFT
JPM	+ 0.94	META
JPM	+ 0.92	F
JPM	+ 0.91	UBER
A	+ 0.9	META

High negative correlations

MRK	- 0.29	UBER
MRK	- 0.23	MSFT
MRK	- 0.18	CRM
MRK	- 0.13	JPM
MRK	- 0.11	META
MRK	- 0.05	F

Eaton Vance Competition Risk-Adjusted Indicators

There is a big difference between Eaton Etf performing well and Eaton Vance 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 Eaton Vance'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	2.05	0.22	0.10	0.24	2.31	(2.34)	4.23	(3.68)	21.50
MSFT	1.20	0.34	0.23	0.45	0.94	(1.38)	2.40	(2.36)	13.79
UBER	1.97	0.28	0.13	0.31	2.17	(2.32)	5.87	(3.48)	16.18
F	1.69	0.19	0.08	0.31	2.21	(1.80)	3.70	(3.74)	13.07
T	1.18	(0.01)	(0.04)	0.07	1.89	(1.11)	2.36	(2.62)	8.47
A	1.76	(0.05)	(0.01)	0.07	2.46	(1.75)	2.76	(4.15)	14.46
CRM	1.57	(0.08)	(0.03)	0.04	2.26	(1.53)	3.01	(3.64)	13.13
JPM	1.26	0.20	0.09	0.29	1.93	(1.30)	2.75	(1.75)	11.14
MRK	1.58	(0.21)	0.00	(0.17)	0.00	0.00	3.35	(4.58)	10.58
XOM	1.41	(0.14)	0.00	(0.08)	0.00	0.00	2.62	(3.04)	10.53

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