ProShares Short Correlations

REK Etf

USD 17.30 0.01 0.06%

The current 90-days correlation between ProShares Short Real and ProShares Short Financials is 0.19 (i.e., Average diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as ProShares Short moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ProShares Short Real moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

ProShares Short Correlation With Market

Very good diversification

The correlation between ProShares Short Real and DJI is -0.32 (i.e., Very good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding ProShares Short Real 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 ProShares Short Real. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in income.

Moving together with ProShares Etf

0.73	TBT	ProShares UltraShort	Pair Corr
0.66	YCS	ProShares UltraShort Yen	Pair Corr
0.73	TMV	Direxion Daily 20 Sell-off Trend	Pair Corr
0.73	BRLN	Blackrock ETF Trust	Pair Corr
0.63	XDEC	First Trust Exchange	Pair Corr
0.71	IVES	Amplify ETF Trust Symbol Change	Pair Corr
0.67	XONE	Bondbloxx Bloomberg One	Pair Corr

Moving against ProShares Etf

0.32

TAIL

Cambria Tail Risk

Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.73	-0.57	-0.59	0.32	0.57	0.53	0.34	-0.06	-0.67	META
MSFT	0.73		-0.53	-0.24	0.56	0.23	0.65	0.25	-0.1	-0.47	MSFT
UBER	-0.57	-0.53		0.64	-0.58	-0.08	-0.78	-0.56	0.67	0.81	UBER
F	-0.59	-0.24	0.64		0.01	-0.25	-0.2	-0.07	0.2	0.9	F
T	0.32	0.56	-0.58	0.01		0.0	0.8	0.59	-0.45	-0.23	T
A	0.57	0.23	-0.08	-0.25	0.0		0.12	0.22	0.32	-0.19	A
CRM	0.53	0.65	-0.78	-0.2	0.8	0.12		0.7	-0.59	-0.44	CRM
JPM	0.34	0.25	-0.56	-0.07	0.59	0.22	0.7		-0.62	-0.25	JPM
MRK	-0.06	-0.1	0.67	0.2	-0.45	0.32	-0.59	-0.62		0.32	MRK
XOM	-0.67	-0.47	0.81	0.9	-0.23	-0.19	-0.44	-0.25	0.32		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	+ 0.9	F
XOM	+ 0.81	UBER
CRM	+ 0.8	T
MSFT	+ 0.73	META
JPM	+ 0.7	CRM
MRK	+ 0.67	UBER

High negative correlations

CRM	- 0.78	UBER
XOM	- 0.67	META
MRK	- 0.62	JPM
MRK	- 0.59	CRM
F	- 0.59	META
T	- 0.58	UBER

ProShares Short Competition Risk-Adjusted Indicators

There is a big difference between ProShares Etf performing well and ProShares Short 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 Short'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	0.06	0.03	0.21	1.51	(1.56)	3.43	(3.15)	7.43
MSFT	0.92	0.04	0.01	1.07	1.58	(0.87)	2.09	(1.73)	8.14
UBER	1.63	(0.33)	0.00	(26.89)	0.00	0.00	2.67	(5.35)	12.29
F	1.38	(0.08)	0.00	(0.17)	0.00	0.00	2.38	(2.81)	11.21
T	0.97	0.08	0.06	0.24	1.10	(1.04)	1.91	(1.84)	7.96
A	1.21	0.03	0.01	0.09	1.45	(1.33)	2.72	(2.42)	8.06
CRM	1.41	0.17	0.10	0.79	1.45	(1.59)	3.16	(2.88)	14.80
JPM	1.03	0.25	0.17	1.11	1.11	(1.17)	1.92	(1.42)	15.87
MRK	1.00	(0.17)	0.00	(0.68)	0.00	0.00	1.74	(2.17)	5.17
XOM	0.76	(0.15)	0.00	(0.37)	0.00	0.00	1.71	(1.67)	6.06

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