Amplify ETF Correlations

QDVO Etf

26.43 0.19 0.71%

The current 90-days correlation between Amplify ETF Trust and FT Vest Equity is 0.75 (i.e., Poor diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Amplify ETF moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Amplify ETF Trust moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Amplify ETF Correlation With Market

Modest diversification

The correlation between Amplify ETF Trust and DJI is 0.24 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Amplify ETF Trust and DJI in the same portfolio, assuming nothing else is changed.

Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Amplify ETF Trust. 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.

To learn how to invest in Amplify Etf, please use our How to Invest in Amplify ETF guide.

Moving together with Amplify Etf

0.7	RYLD	Global X Russell Sell-off Trend	Pair Corr
0.87	JEPQ	JPMorgan Nasdaq Equity	Pair Corr
0.68	RXI	iShares Global Consumer	Pair Corr
0.77	AIQ	Global X Artificial	Pair Corr

Moving against Amplify Etf

0.45	HPQ	HP Inc Earnings Call Today	Pair Corr
0.39	AA	Alcoa Corp	Pair Corr
0.37	TRV	The Travelers Companies	Pair Corr
0.34	MRK	Merck Company Aggressive Push	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.34	0.54	-0.68	0.78	0.45	-0.1	0.85	-0.78	-0.4	META
MSFT	-0.34		-0.63	0.28	-0.48	0.2	0.71	-0.47	0.59	-0.15	MSFT
UBER	0.54	-0.63		-0.15	0.73	-0.02	-0.49	0.72	-0.74	0.37	UBER
F	-0.68	0.28	-0.15		-0.38	-0.16	0.33	-0.41	0.58	0.77	F
T	0.78	-0.48	0.73	-0.38		0.06	-0.2	0.73	-0.78	0.0	T
A	0.45	0.2	-0.02	-0.16	0.06		0.21	0.53	-0.02	-0.29	A
CRM	-0.1	0.71	-0.49	0.33	-0.2	0.21		-0.25	0.43	-0.06	CRM
JPM	0.85	-0.47	0.72	-0.41	0.73	0.53	-0.25		-0.78	-0.08	JPM
MRK	-0.78	0.59	-0.74	0.58	-0.78	-0.02	0.43	-0.78		0.1	MRK
XOM	-0.4	-0.15	0.37	0.77	0.0	-0.29	-0.06	-0.08	0.1		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

JPM	+ 0.85	META
T	+ 0.78	META
XOM	+ 0.77	F
T	+ 0.73	UBER
JPM	+ 0.73	T
JPM	+ 0.72	UBER

High negative correlations

MRK	- 0.78	JPM
MRK	- 0.78	T
MRK	- 0.78	META
MRK	- 0.74	UBER
F	- 0.68	META
UBER	- 0.63	MSFT

Amplify ETF Competition Risk-Adjusted Indicators

There is a big difference between Amplify Etf performing well and Amplify ETF 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 Amplify ETF'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	1.30	0.26	0.16	0.64	1.38	(1.36)	3.22	(2.26)	7.11
MSFT	0.99	(0.06)	0.00	(0.23)	0.00	0.00	2.20	(1.90)	10.31
UBER	1.88	0.15	0.05	(2.68)	2.72	(1.87)	4.72	(3.13)	12.29
F	1.35	(0.21)	0.00	(0.27)	0.00	0.00	2.46	(2.90)	10.97
T	0.92	0.24	0.21	0.47	0.95	(1.07)	1.80	(1.75)	7.94
A	1.09	0.08	0.07	0.13	1.03	(1.33)	2.81	(1.91)	6.12
CRM	1.43	(0.07)	0.00	(0.08)	0.00	0.00	3.10	(2.95)	15.92
JPM	0.90	0.08	0.06	0.11	1.21	(0.99)	1.92	(1.51)	6.85
MRK	1.22	(0.07)	0.00	(1.13)	0.00	0.00	2.43	(1.81)	11.57
XOM	0.94	(0.13)	0.00	(0.24)	0.00	0.00	1.76	(2.14)	5.69

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