Aptus July Correlations

JULB Etf

25.78 0.09 0.35%

The current 90-days correlation between Aptus July Buffer and FT Vest Equity is 0.08 (i.e., Significant diversification). The correlation of Aptus July 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.

Aptus July Correlation With Market

Average diversification

The correlation between Aptus July Buffer and DJI is 0.18 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Aptus July Buffer and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Aptus Etf

Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Aptus July Buffer. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as various price indices.

Moving together with Aptus Etf

0.61	VTI	Vanguard Total Stock	Pair Corr
0.65	VTV	Vanguard Value Index	Pair Corr
0.65	VEA	Vanguard FTSE Developed	Pair Corr
0.65	VB	Vanguard Small Cap	Pair Corr
0.61	JPM	JPMorgan Chase Earnings Call This Week	Pair Corr

Moving against Aptus Etf

0.6	ELON	Battleshares TSLA	Pair Corr
0.35	T	ATT Inc	Pair Corr
0.43	PG	Procter Gamble	Pair Corr
0.37	KO	Coca Cola	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.52	0.26	-0.34	0.17	-0.29	0.38	-0.2	-0.3	-0.43	META
MSFT	0.52		0.85	-0.55	0.42	0.07	-0.03	-0.49	-0.82	-0.65	MSFT
UBER	0.26	0.85		-0.54	0.47	0.31	-0.23	-0.51	-0.83	-0.64	UBER
F	-0.34	-0.55	-0.54		-0.67	0.11	0.35	0.63	0.67	0.74	F
T	0.17	0.42	0.47	-0.67		0.36	-0.67	-0.65	-0.43	-0.54	T
A	-0.29	0.07	0.31	0.11	0.36		-0.54	-0.27	-0.08	-0.06	A
CRM	0.38	-0.03	-0.23	0.35	-0.67	-0.54		0.54	0.25	0.29	CRM
JPM	-0.2	-0.49	-0.51	0.63	-0.65	-0.27	0.54		0.67	0.68	JPM
MRK	-0.3	-0.82	-0.83	0.67	-0.43	-0.08	0.25	0.67		0.79	MRK
XOM	-0.43	-0.65	-0.64	0.74	-0.54	-0.06	0.29	0.68	0.79		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

UBER	+ 0.85	MSFT
XOM	+ 0.79	MRK
XOM	+ 0.74	F
XOM	+ 0.68	JPM
MRK	+ 0.67	F
MRK	+ 0.67	JPM

High negative correlations

MRK	- 0.83	UBER
MRK	- 0.82	MSFT
CRM	- 0.67	T
T	- 0.67	F
JPM	- 0.65	T
XOM	- 0.65	MSFT

Aptus July Competition Risk-Adjusted Indicators

There is a big difference between Aptus Etf performing well and Aptus July 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 Aptus July'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	1.32	(0.19)	0.00	(0.16)	0.00	0.00	2.30	(2.67)	13.46
MSFT	0.92	(0.19)	0.00	(0.30)	0.00	0.00	1.65	(2.50)	4.90
UBER	1.53	(0.27)	0.00	(0.18)	0.00	0.00	2.60	(3.82)	10.23
F	1.51	0.12	0.08	0.16	1.68	(1.68)	3.38	(2.63)	16.30
T	0.89	(0.11)	0.00	(0.40)	0.00	0.00	1.61	(1.83)	5.75
A	1.10	0.03	0.03	0.10	1.22	(1.18)	2.34	(2.09)	6.50
CRM	1.55	0.04	0.01	0.12	2.01	(1.53)	3.66	(2.92)	9.91
JPM	1.12	0.01	0.02	0.08	1.44	(1.17)	2.34	(2.28)	7.02
MRK	1.23	0.29	0.21	0.42	1.08	(1.52)	3.59	(1.98)	8.09
XOM	0.97	0.04	0.00	0.15	1.09	(1.03)	2.10	(1.93)	5.82

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