Cohen Correlations

PSF Etf

USD 20.31 0.13 0.64%

The current 90-days correlation between Cohen and Steers and Blackrock Muniholdings Ny is 0.41 (i.e., Very weak diversification). The correlation of Cohen 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.

Cohen Correlation With Market

Weak diversification

The correlation between Cohen and Steers and DJI is 0.39 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Cohen and Steers 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 Cohen and Steers. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in state.

Moving together with Cohen Etf

0.65	PXMV	Invesco SP MidCap	Pair Corr
0.62	IJR	iShares Core SP	Pair Corr
0.72	MDEV	First Trust Exchange Low Volatility	Pair Corr
0.65	ALTY	Global X Alternative	Pair Corr
0.64	EZM	WisdomTree MidCap	Pair Corr
0.65	FSCC	Federated Hermes ETF	Pair Corr
0.68	NIXT	Research Affiliates	Pair Corr

Moving against Cohen Etf

0.37	MAGS	Roundhill Magnificent Sell-off Trend	Pair Corr
0.35	BIL	SPDR Bloomberg 1	Pair Corr
0.33	OBIL	US Treasury 12	Pair Corr
0.32	XMAR	First Trust Exchange	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.62	-0.43	-0.5	0.58	0.77	0.5	0.62	-0.15	-0.63	META
MSFT	0.62		-0.46	-0.23	0.48	0.4	0.6	0.3	-0.01	-0.46	MSFT
UBER	-0.43	-0.46		0.65	-0.3	-0.2	-0.71	-0.25	0.31	0.78	UBER
F	-0.5	-0.23	0.65		0.05	-0.32	-0.17	-0.06	0.09	0.9	F
T	0.58	0.48	-0.3	0.05		0.41	0.67	0.59	-0.17	-0.17	T
A	0.77	0.4	-0.2	-0.32	0.41		0.25	0.72	-0.21	-0.39	A
CRM	0.5	0.6	-0.71	-0.17	0.67	0.25		0.5	-0.29	-0.41	CRM
JPM	0.62	0.3	-0.25	-0.06	0.59	0.72	0.5		-0.55	-0.24	JPM
MRK	-0.15	-0.01	0.31	0.09	-0.17	-0.21	-0.29	-0.55		0.16	MRK
XOM	-0.63	-0.46	0.78	0.9	-0.17	-0.39	-0.41	-0.24	0.16		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	+ 0.78	UBER
A	+ 0.77	META
JPM	+ 0.72	A
CRM	+ 0.67	T
F	+ 0.65	UBER

High negative correlations

CRM	- 0.71	UBER
XOM	- 0.63	META
MRK	- 0.55	JPM
F	- 0.5	META
XOM	- 0.46	MSFT
UBER	- 0.46	MSFT

Cohen Competition Risk-Adjusted Indicators

There is a big difference between Cohen Etf performing well and Cohen 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 Cohen'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	1.41	0.26	0.13	0.73	1.40	(1.61)	3.43	(2.31)	7.43
MSFT	1.12	(0.03)	0.00	(0.42)	0.00	0.00	2.20	(2.79)	7.31
UBER	1.56	(0.23)	0.00	(3.08)	0.00	0.00	2.67	(5.35)	12.29
F	1.47	(0.18)	0.00	(0.20)	0.00	0.00	2.57	(2.90)	11.21
T	1.00	0.10	0.04	0.30	1.08	(1.12)	1.91	(1.84)	7.94
A	1.20	0.19	0.11	0.48	1.06	(1.46)	2.92	(2.16)	8.06
CRM	1.51	0.34	0.15	2.71	1.42	(1.76)	3.70	(2.88)	14.80
JPM	1.05	0.25	0.15	0.96	1.05	(1.23)	1.92	(1.42)	15.87
MRK	1.03	(0.11)	0.00	(0.43)	0.00	0.00	2.00	(2.13)	5.24
XOM	0.82	(0.16)	0.00	(0.28)	0.00	0.00	1.71	(1.74)	6.06

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