ProShares Ultra Correlations

YCL Etf

USD 22.97 0.03 0.13%

The current 90-days correlation between ProShares Ultra Yen and ProShares Ultra Euro is 0.79 (i.e., Poor diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as ProShares Ultra moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ProShares Ultra Yen moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

ProShares Ultra Correlation With Market

Modest diversification

The correlation between ProShares Ultra Yen and DJI is 0.25 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding ProShares Ultra Yen and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with ProShares Etf

Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in ProShares Ultra Yen. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators.

Moving together with ProShares Etf

0.8	VIXM	ProShares VIX Mid Low Volatility	Pair Corr
0.75	UDN	Invesco DB Dollar	Pair Corr
0.79	VXZ	iPath Series B Low Volatility	Pair Corr

Moving against ProShares Etf

0.99	YCS	ProShares UltraShort Yen	Pair Corr
0.85	UUP	Invesco DB Dollar Sell-off Trend	Pair Corr
0.77	EUO	ProShares UltraShort Euro	Pair Corr
0.5	PMBS	PIMCO Mortgage Backed	Pair Corr
0.38	ITWO	Proshares Russell 2000	Pair Corr
0.37	CEFD	ETRACS Monthly Pay	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.91	0.74	0.78	0.53	0.67	0.53	0.86	-0.17	0.13	META
MSFT	0.91		0.89	0.82	0.54	0.37	0.43	0.92	-0.47	-0.17	MSFT
UBER	0.74	0.89		0.87	0.49	0.26	0.61	0.88	-0.51	-0.19	UBER
F	0.78	0.82	0.87		0.5	0.49	0.65	0.9	-0.24	0.11	F
T	0.53	0.54	0.49	0.5		0.28	0.2	0.57	-0.18	0.11	T
A	0.67	0.37	0.26	0.49	0.28		0.6	0.41	0.55	0.7	A
CRM	0.53	0.43	0.61	0.65	0.2	0.6		0.49	0.17	0.31	CRM
JPM	0.86	0.92	0.88	0.9	0.57	0.41	0.49		-0.41	-0.05	JPM
MRK	-0.17	-0.47	-0.51	-0.24	-0.18	0.55	0.17	-0.41		0.72	MRK
XOM	0.13	-0.17	-0.19	0.11	0.11	0.7	0.31	-0.05	0.72		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	+ 0.92	MSFT
MSFT	+ 0.91	META
JPM	+ 0.9	F
UBER	+ 0.89	MSFT
JPM	+ 0.88	UBER
F	+ 0.87	UBER

High negative correlations

MRK	- 0.51	UBER
MRK	- 0.47	MSFT
MRK	- 0.41	JPM
MRK	- 0.24	F
XOM	- 0.19	UBER
MRK	- 0.18	T

ProShares Ultra Competition Risk-Adjusted Indicators

There is a big difference between ProShares Etf performing well and ProShares Ultra 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 Ultra'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	2.11	0.25	0.08	(6.57)	2.52	(2.36)	4.23	(4.29)	21.50
MSFT	1.23	0.34	0.19	(5.80)	1.19	(1.34)	2.40	(2.36)	13.79
UBER	1.90	0.24	0.08	(1.40)	2.28	(2.09)	4.19	(3.48)	16.18
F	1.71	0.11	0.04	0.14	2.24	(1.75)	2.90	(3.84)	13.07
T	1.14	0.08	0.03	0.29	1.79	(1.14)	2.01	(2.62)	8.83
A	1.78	(0.06)	0.00	0.23	0.00	0.00	2.76	(4.15)	14.45
CRM	1.59	(0.10)	0.00	1.72	0.00	0.00	3.01	(3.64)	13.13
JPM	1.32	0.23	0.10	0.23	1.95	(1.38)	2.75	(2.12)	11.14
MRK	1.62	(0.23)	0.00	0.86	0.00	0.00	2.55	(4.72)	10.58
XOM	1.28	0.01	0.00	1.71	2.24	(1.20)	2.62	(2.77)	10.53

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