YieldMax Correlations

SDTY Etf

44.94 0.16 0.35%

The current 90-days correlation between YieldMax SP 500 and YieldMax Nasdaq 100 is 0.95 (i.e., Almost no 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 poor diversification

The correlation between YieldMax SP 500 and DJI is 0.8 (i.e., Very poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding YieldMax SP 500 and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with YieldMax Etf

Check out World Market Map to better understand how to build diversified portfolios, which includes a position in YieldMax SP 500. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in population.

Moving together with YieldMax Etf

0.82	JEPI	JPMorgan Equity Premium	Pair Corr
0.87	XYLD	Global X SP	Pair Corr
0.92	DIVO	Amplify CWP Enhanced	Pair Corr
0.89	RYLD	Global X Russell	Pair Corr
0.98	JEPQ	JPMorgan Nasdaq Equity	Pair Corr
0.64	NUSI	NEOS ETF Trust Symbol Change	Pair Corr
0.85	BUYW	Main Buywrite ETF	Pair Corr
0.65	IDME	International Drawdown	Pair Corr
0.84	MUU	Direxion Daily MU Trending	Pair Corr
0.84	MULL	GraniteShares 2x Long Trending	Pair Corr
0.64	AGQ	ProShares Ultra Silver	Pair Corr
0.77	KORU	Direxion Daily South	Pair Corr
0.83	HEZU	iShares Currency Hedged	Pair Corr
0.74	VONG	Vanguard Russell 1000	Pair Corr
0.68	MYCI	SPDR SSGA My2029	Pair Corr
0.83	HYSD	Columbia ETF Trust	Pair Corr
0.87	QQQM	Invesco NASDAQ 100	Pair Corr
0.76	IBTG	iShares iBonds Dec	Pair Corr
0.96	VOO	Vanguard SP 500	Pair Corr
0.83	CPSU	Calamos SP 500	Pair Corr
0.66	FFLG	Fidelity Covington Trust Low Volatility	Pair Corr
0.98	QLC	FlexShares Quality Large	Pair Corr
0.85	PBJA	PGIM Rock ETF	Pair Corr
0.9	ZJAN	Innovator Equity Defined	Pair Corr
0.69	XLK	Technology Select Sector Aggressive Push	Pair Corr
0.91	ITDJ	iShares Trust	Pair Corr

Moving against YieldMax Etf

0.45

PUTW

WisdomTree CBOE SP Symbol Change

Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.66	0.57	-0.64	0.57	-0.6	0.23	-0.14	-0.59	-0.63	META
MSFT	0.66		0.83	-0.51	0.36	-0.22	0.09	-0.3	-0.77	-0.6	MSFT
UBER	0.57	0.83		-0.62	0.57	-0.33	-0.1	-0.2	-0.84	-0.59	UBER
F	-0.64	-0.51	-0.62		-0.71	0.56	0.27	0.38	0.7	0.76	F
T	0.57	0.36	0.57	-0.71		-0.57	-0.45	-0.16	-0.54	-0.49	T
A	-0.6	-0.22	-0.33	0.56	-0.57		-0.17	-0.25	0.51	0.28	A
CRM	0.23	0.09	-0.1	0.27	-0.45	-0.17		0.33	0.01	0.13	CRM
JPM	-0.14	-0.3	-0.2	0.38	-0.16	-0.25	0.33		0.25	0.36	JPM
MRK	-0.59	-0.77	-0.84	0.7	-0.54	0.51	0.01	0.25		0.64	MRK
XOM	-0.63	-0.6	-0.59	0.76	-0.49	0.28	0.13	0.36	0.64		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	+ 0.76	F
MRK	+ 0.7	F
MSFT	+ 0.66	META
XOM	+ 0.64	MRK
UBER	+ 0.57	META

High negative correlations

MRK	- 0.84	UBER
MRK	- 0.77	MSFT
T	- 0.71	F
F	- 0.64	META
XOM	- 0.63	META
F	- 0.62	UBER

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	1.40	(0.25)	0.00	(0.21)	0.00	0.00	2.30	(2.72)	13.52
MSFT	0.92	(0.12)	0.00	(0.14)	0.00	0.00	1.78	(2.50)	5.08
UBER	1.48	(0.36)	0.00	(0.28)	0.00	0.00	2.60	(3.82)	10.51
F	1.51	0.15	0.09	0.16	1.69	(1.65)	3.38	(2.63)	16.30
T	0.96	(0.26)	0.00	(0.85)	0.00	0.00	1.61	(2.18)	5.75
A	1.25	0.08	0.06	0.13	1.31	(1.37)	2.34	(2.21)	11.03
CRM	1.57	0.03	0.02	0.09	2.02	(1.54)	3.66	(2.92)	9.91
JPM	1.03	0.00	0.01	0.06	1.41	(1.02)	2.00	(1.91)	7.02
MRK	1.45	0.38	0.27	0.50	1.07	(1.86)	4.85	(2.06)	11.45
XOM	0.96	0.09	0.04	0.47	0.99	(1.02)	1.96	(1.51)	4.99

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