ProShares Trust Correlations

SETH Etf

56.71 1.43 2.59%

The correlation of ProShares Trust 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.

ProShares Trust Correlation With Market

Weak diversification

The correlation between ProShares Trust and DJI is 0.31 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding ProShares Trust and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with ProShares Etf

Check out World Market Map to better understand how to build diversified portfolios, which includes a position in ProShares 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 persons.

Moving together with ProShares Etf

0.72	AMPD	Tidal ETF Services	Pair Corr
0.64	SCDV	ETF Series Solutions	Pair Corr
0.64	REGL	ProShares SP MidCap	Pair Corr
0.61	DFSD	Dimensional ETF Trust	Pair Corr
0.64	GENW	Spinnaker ETF Series	Pair Corr

Moving against ProShares Etf

0.97	BTF	CoinShares Bitcoin and	Pair Corr
0.96	GBTC	Grayscale Bitcoin Trust	Pair Corr
0.96	BTC	Grayscale Bitcoin Mini	Pair Corr
0.88	BITO	ProShares Bitcoin	Pair Corr
0.6	SPBC	Simplify Equity PLUS	Pair Corr
0.33	MPAY	Exchange Traded Concepts	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.38	-0.43	0.41	0.14	-0.49	-0.08	0.34	0.45	0.41	META
MSFT	-0.38		0.81	-0.55	-0.68	0.73	0.83	0.07	-0.86	-0.91	MSFT
UBER	-0.43	0.81		-0.49	-0.53	0.8	0.58	-0.08	-0.8	-0.76	UBER
F	0.41	-0.55	-0.49		0.14	-0.45	-0.28	0.28	0.7	0.62	F
T	0.14	-0.68	-0.53	0.14		-0.44	-0.77	-0.14	0.45	0.6	T
A	-0.49	0.73	0.8	-0.45	-0.44		0.52	-0.02	-0.66	-0.79	A
CRM	-0.08	0.83	0.58	-0.28	-0.77	0.52		0.44	-0.61	-0.82	CRM
JPM	0.34	0.07	-0.08	0.28	-0.14	-0.02	0.44		0.21	-0.09	JPM
MRK	0.45	-0.86	-0.8	0.7	0.45	-0.66	-0.61	0.21		0.84	MRK
XOM	0.41	-0.91	-0.76	0.62	0.6	-0.79	-0.82	-0.09	0.84		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	+ 0.84	MRK
CRM	+ 0.83	MSFT
UBER	+ 0.81	MSFT
A	+ 0.8	UBER
A	+ 0.73	MSFT
MRK	+ 0.7	F

High negative correlations

XOM	- 0.91	MSFT
MRK	- 0.86	MSFT
XOM	- 0.82	CRM
MRK	- 0.8	UBER
XOM	- 0.79	A
CRM	- 0.77	T

ProShares Trust Competition Risk-Adjusted Indicators

There is a big difference between ProShares Etf performing well and ProShares Trust 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 ProShares Trust'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	1.50	0.02	0.00	0.07	1.52	(1.82)	3.43	(2.82)	13.69
MSFT	1.32	(0.38)	0.00	(1.03)	0.00	0.00	1.90	(2.74)	13.28
UBER	1.51	(0.44)	0.00	(0.83)	0.00	0.00	2.41	(3.82)	11.09
F	1.21	0.07	0.05	0.13	1.18	(1.44)	3.34	(2.30)	7.16
T	1.00	0.21	0.17	6.48	0.77	(1.18)	3.87	(1.54)	5.31
A	1.25	(0.33)	0.00	(0.22)	0.00	0.00	2.90	(2.73)	7.85
CRM	1.71	(0.45)	0.00	(0.42)	0.00	0.00	2.94	(4.75)	12.37
JPM	1.27	(0.10)	0.00	(0.02)	0.00	0.00	2.34	(3.11)	7.38
MRK	1.29	0.43	0.31	0.78	1.00	(1.59)	2.93	(1.98)	8.74
XOM	1.25	0.32	0.20	1.60	1.14	(1.43)	2.68	(2.12)	6.83

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