YieldMax Correlations

GPTY Etf

42.55 0.61 1.41%

The current 90-days correlation between YieldMax AI Tech and 6 Meridian Quality is 0.61 (i.e., Poor diversification). The correlation of YieldMax 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. If the correlation is 0, the equities are not correlated; they are entirely random.

YieldMax Correlation With Market

Very weak diversification

The correlation between YieldMax AI Tech and DJI is 0.48 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding YieldMax AI Tech and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with YieldMax Etf

Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in YieldMax AI Tech. 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 together with YieldMax Etf

0.68	IRE	Tidal Trust II Trending	Pair Corr
0.73	VUG	Vanguard Growth Index	Pair Corr
0.65	HD	Home Depot	Pair Corr

Moving against YieldMax Etf

0.65	VZ	Verizon Communications	Pair Corr
0.48	CSCO	Cisco Systems	Pair Corr
0.39	DD	Dupont De Nemours	Pair Corr
0.37	KO	Coca Cola Aggressive Push	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.61	0.35	-0.45	0.24	-0.34	0.35	-0.22	-0.36	-0.45	META
MSFT	0.61		0.83	-0.54	0.43	-0.05	0.0	-0.51	-0.82	-0.65	MSFT
UBER	0.35	0.83		-0.51	0.45	0.21	-0.2	-0.52	-0.82	-0.6	UBER
F	-0.45	-0.54	-0.51		-0.69	0.14	0.33	0.65	0.69	0.78	F
T	0.24	0.43	0.45	-0.69		0.24	-0.61	-0.65	-0.48	-0.61	T
A	-0.34	-0.05	0.21	0.14	0.24		-0.55	-0.25	-0.02	0.04	A
CRM	0.35	0.0	-0.2	0.33	-0.61	-0.55		0.55	0.24	0.27	CRM
JPM	-0.22	-0.51	-0.52	0.65	-0.65	-0.25	0.55		0.69	0.67	JPM
MRK	-0.36	-0.82	-0.82	0.69	-0.48	-0.02	0.24	0.69		0.8	MRK
XOM	-0.45	-0.65	-0.6	0.78	-0.61	0.04	0.27	0.67	0.8		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	+ 0.83	MSFT
XOM	+ 0.8	MRK
XOM	+ 0.78	F
MRK	+ 0.69	F
MRK	+ 0.69	JPM
XOM	+ 0.67	JPM

High negative correlations

MRK	- 0.82	UBER
MRK	- 0.82	MSFT
T	- 0.69	F
JPM	- 0.65	T
XOM	- 0.65	MSFT
XOM	- 0.61	T

YieldMax Competition Risk-Adjusted Indicators

There is a big difference between YieldMax Etf performing well and YieldMax 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 YieldMax'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	1.36	(0.24)	0.00	(0.91)	0.00	0.00	2.30	(2.72)	13.46
MSFT	0.93	(0.14)	0.00	1.10	0.00	0.00	1.65	(2.50)	4.90
UBER	1.49	(0.09)	0.00	0.25	0.00	0.00	2.60	(3.82)	10.23
F	1.41	0.31	0.14	1.78	1.26	(1.68)	3.38	(2.35)	16.30
T	0.90	(0.14)	0.00	3.37	0.00	0.00	1.63	(1.85)	5.78
A	1.09	(0.02)	(0.01)	0.09	1.19	(1.20)	2.34	(2.09)	6.50
CRM	1.60	(0.01)	(0.05)	0.55	2.36	(1.55)	3.66	(3.61)	9.91
JPM	1.18	0.02	(0.04)	0.25	1.67	(1.19)	2.34	(2.34)	7.02
MRK	1.22	0.30	0.18	0.88	1.06	(1.52)	3.59	(1.98)	8.09
XOM	1.06	0.12	0.06	0.33	1.05	(1.18)	2.21	(1.93)	5.82

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