Fm 2 Correlations

ZTWO Etf

50.58 0.07 0.14%

The current 90-days correlation between Fm 2 Year and VanEck Vectors Moodys is 0.73 (i.e., Poor diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Fm 2 moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fm 2 Year Investment moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Fm 2 Correlation With Market

Weak diversification

The correlation between Fm 2 Year Investment and DJI is 0.3 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Fm 2 Year Investment and DJI in the same portfolio, assuming nothing else is changed.

Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in Fm 2 Year Investment. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in housing.

Moving together with ZTWO Etf

0.93	IGSB	iShares 1 5	Pair Corr
0.95	ISTB	iShares Core 1	Pair Corr
0.98	SLQD	iShares 0 5	Pair Corr
0.67	GVI	iShares Intermediate	Pair Corr
0.97	LDUR	PIMCO Enhanced Low	Pair Corr
0.92	SUSB	iShares ESG 1	Pair Corr
0.83	BABX	GraniteShares 175x Long Buyout Trend	Pair Corr
0.91	SHNY	Microsectors Gold	Pair Corr
0.77	GDXU	MicroSectors Gold Miners	Pair Corr
0.71	JNJ	Johnson Johnson	Pair Corr

Moving against ZTWO Etf

0.6	NVDL	GraniteShares 15x Long Downward Rally	Pair Corr
0.59	NVDU	Direxion Daily NVDA Downward Rally	Pair Corr
0.5	MSTY	YieldMax MSTR Option	Pair Corr
0.49	WTID	UBS ETRACS	Pair Corr
0.58	MSFT	Microsoft	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

Fm 2 Competition Risk-Adjusted Indicators

There is a big difference between ZTWO Etf performing well and Fm 2 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 Fm 2'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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