PROSHARES ULTRASHORT Correlations

SKK Etf

USD 0.30 0.03 11.11%

The current 90-days correlation between PROSHARES ULTRASHORT and iShares iBonds Dec is -0.01 (i.e., Good diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as PROSHARES ULTRASHORT moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if PROSHARES ULTRASHORT RUSSELL moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

PROSHARES ULTRASHORT Correlation With Market

Good diversification

The correlation between PROSHARES ULTRASHORT RUSSELL and DJI is -0.08 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding PROSHARES ULTRASHORT RUSSELL 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 ULTRASHORT RUSSELL. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in industry.

Moving against PROSHARES Etf

0.44	BND	Vanguard Total Bond	Pair Corr
0.43	MKC	McCormick Company	Pair Corr
0.41	GIGL	Goldman Sachs ETF	Pair Corr
0.39	SMCCX	DEUTSCHE MID CAP	Pair Corr
0.37	TXUE	Thornburg International	Pair Corr
0.31	DRLL	EA Series Trust	Pair Corr
0.31	DFAI	Dimensional International	Pair Corr
0.42	IGSB	iShares 1 5	Pair Corr
0.41	STOT	SPDR DoubleLine Short	Pair Corr
0.41	TERG	Leverage Shares 2X	Pair Corr
0.4	WEBS	Direxion Daily Dow	Pair Corr
0.39	BDVL	iShares Disciplined	Pair Corr
0.39	HTRB	Hartford Total Return	Pair Corr
0.35	STPZ	PIMCO 1 5	Pair Corr
0.33	VGLT	Vanguard Long Term	Pair Corr
0.33	BSJP	Invesco	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.1	-0.12	0.05	0.13	-0.26	-0.04	0.18	0.02	0.18	META
MSFT	-0.1		0.84	-0.64	-0.86	0.81	0.93	0.37	-0.92	-0.94	MSFT
UBER	-0.12	0.84		-0.57	-0.77	0.85	0.76	0.22	-0.82	-0.83	UBER
F	0.05	-0.64	-0.57		0.42	-0.55	-0.51	-0.1	0.72	0.67	F
T	0.13	-0.86	-0.77	0.42		-0.68	-0.85	-0.32	0.77	0.77	T
A	-0.26	0.81	0.85	-0.55	-0.68		0.69	0.28	-0.76	-0.85	A
CRM	-0.04	0.93	0.76	-0.51	-0.85	0.69		0.55	-0.84	-0.91	CRM
JPM	0.18	0.37	0.22	-0.1	-0.32	0.28	0.55		-0.2	-0.37	JPM
MRK	0.02	-0.92	-0.82	0.72	0.77	-0.76	-0.84	-0.2		0.92	MRK
XOM	0.18	-0.94	-0.83	0.67	0.77	-0.85	-0.91	-0.37	0.92		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

CRM	+ 0.93	MSFT
XOM	+ 0.92	MRK
A	+ 0.85	UBER
UBER	+ 0.84	MSFT
A	+ 0.81	MSFT
MRK	+ 0.77	T

High negative correlations

XOM	- 0.94	MSFT
MRK	- 0.92	MSFT
XOM	- 0.91	CRM
T	- 0.86	MSFT
XOM	- 0.85	A
CRM	- 0.85	T

PROSHARES ULTRASHORT Competition Risk-Adjusted Indicators

There is a big difference between PROSHARES Etf performing well and PROSHARES ULTRASHORT 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 ULTRASHORT'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	0.05	0.02	0.13	1.55	(1.67)	3.43	(2.81)	13.69
MSFT	1.34	(0.29)	0.00	(0.49)	0.00	0.00	2.19	(2.87)	13.28
UBER	1.57	(0.17)	0.00	(0.27)	0.00	0.00	2.70	(3.82)	11.09
F	1.27	0.00	0.00	0.07	1.37	(1.52)	3.61	(2.30)	7.50
T	1.03	0.17	0.07	(0.78)	0.94	(1.22)	3.87	(1.76)	7.44
A	1.24	(0.46)	0.00	(0.38)	0.00	0.00	2.48	(2.73)	7.20
CRM	1.82	(0.31)	0.00	(0.18)	0.00	0.00	3.66	(4.75)	12.37
JPM	1.28	(0.11)	(0.03)	0.01	1.84	(1.30)	2.34	(3.11)	8.17
MRK	1.27	0.27	0.16	0.59	1.18	(1.39)	2.81	(2.06)	8.74
XOM	1.31	0.44	0.25	10.44	1.07	(1.56)	2.90	(2.44)	6.83

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