ZEGA Buy Correlations

ZHDG Etf

USD 20.85 0.00 0.00%

The current 90-days correlation between ZEGA Buy and Acruence Active Hedge is 0.74 (i.e., Poor diversification). The correlation of ZEGA Buy 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.

ZEGA Buy Correlation With Market

Weak diversification

The correlation between ZEGA Buy and and DJI is 0.39 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding ZEGA Buy and and DJI in the same portfolio, assuming nothing else is changed.

Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in ZEGA Buy and. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in unemployment.

Moving together with ZEGA Etf

0.79	JEPI	JPMorgan Equity Premium Sell-off Trend	Pair Corr
0.69	DIVO	Amplify CWP Enhanced	Pair Corr
0.79	IDME	International Drawdown	Pair Corr
0.63	CRPT	First Trust SkyBridge	Pair Corr
0.74	HD	Home Depot Earnings Call Next Week	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.19	0.32	-0.68	0.83	0.61	0.07	0.83	-0.71	-0.51	META
MSFT	-0.19		-0.58	0.11	-0.24	0.18	0.64	-0.35	0.5	-0.21	MSFT
UBER	0.32	-0.58		0.11	0.48	0.01	-0.37	0.56	-0.6	0.47	UBER
F	-0.68	0.11	0.11		-0.38	-0.33	0.18	-0.42	0.5	0.85	F
T	0.83	-0.24	0.48	-0.38		0.34	0.21	0.78	-0.71	-0.19	T
A	0.61	0.18	0.01	-0.33	0.34		0.16	0.67	-0.13	-0.4	A
CRM	0.07	0.64	-0.37	0.18	0.21	0.16		-0.13	0.29	-0.09	CRM
JPM	0.83	-0.35	0.56	-0.42	0.78	0.67	-0.13		-0.73	-0.21	JPM
MRK	-0.71	0.5	-0.6	0.5	-0.71	-0.13	0.29	-0.73		0.16	MRK
XOM	-0.51	-0.21	0.47	0.85	-0.19	-0.4	-0.09	-0.21	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	+ 0.85	F
T	+ 0.83	META
JPM	+ 0.83	META
JPM	+ 0.78	T
JPM	+ 0.67	A
CRM	+ 0.64	MSFT

High negative correlations

MRK	- 0.73	JPM
MRK	- 0.71	T
MRK	- 0.71	META
F	- 0.68	META
MRK	- 0.6	UBER
UBER	- 0.58	MSFT

ZEGA Buy Constituents Risk-Adjusted Indicators

There is a big difference between ZEGA Etf performing well and ZEGA Buy 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 ZEGA Buy'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	1.22	0.34	0.21	0.81	1.22	(1.31)	3.22	(1.95)	7.11
MSFT	0.99	(0.05)	0.00	(0.20)	0.00	0.00	2.20	(2.14)	10.31
UBER	1.85	0.18	0.06	(1.34)	2.79	(1.88)	4.72	(5.35)	12.29
F	1.35	(0.21)	0.00	(0.31)	0.00	0.00	2.46	(2.90)	11.01
T	0.94	0.24	0.21	0.39	0.93	(1.10)	1.91	(1.75)	7.94
A	1.13	(0.02)	0.00	(0.02)	0.00	0.00	2.81	(2.42)	6.12
CRM	1.50	0.04	0.02	0.07	1.83	(1.65)	3.70	(2.95)	15.92
JPM	0.80	0.24	0.24	0.40	0.73	(0.95)	1.92	(1.39)	5.01
MRK	1.18	(0.31)	0.00	(1.07)	0.00	0.00	2.00	(2.13)	11.57
XOM	0.89	(0.15)	0.00	(0.26)	0.00	0.00	1.72	(2.14)	5.69

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