New York Correlations

NYC Etf

USD 8.73 0.26 2.89%

The current 90-days correlation between New York City and Frp Holdings Ord is 0.02 (i.e., Significant diversification). The correlation of New York 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.

New York Correlation With Market

Good diversification

The correlation between New York City and DJI is -0.04 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding New York City and DJI in the same portfolio, assuming nothing else is changed.

Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in New York City. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in manufacturing.

Moving against New Etf

0.48	LRE	Lead Real Estate	Pair Corr
0.45	CBL	CBL Associates Properties	Pair Corr
0.41	IRS	IRSA Inversiones Y	Pair Corr
0.35	FSV	FirstService Corp	Pair Corr
0.34	NEN	New England Realty	Pair Corr
0.32	HHH	Howard Hughes	Pair Corr
0.45	GYRO	Gyrodyne Company	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.28	0.57	-0.02	0.62	0.02	0.71	0.3	-0.57	0.73	META
MSFT	0.28		0.24	0.13	0.18	-0.02	0.02	-0.17	0.11	-0.19	MSFT
UBER	0.57	0.24		-0.01	0.05	0.25	0.08	-0.07	0.02	0.38	UBER
F	-0.02	0.13	-0.01		-0.04	-0.36	0.32	0.6	-0.22	0.26	F
T	0.62	0.18	0.05	-0.04		-0.46	0.71	0.45	-0.75	0.39	T
A	0.02	-0.02	0.25	-0.36	-0.46		-0.47	-0.65	0.63	0.0	A
CRM	0.71	0.02	0.08	0.32	0.71	-0.47		0.81	-0.92	0.68	CRM
JPM	0.3	-0.17	-0.07	0.6	0.45	-0.65	0.81		-0.82	0.49	JPM
MRK	-0.57	0.11	0.02	-0.22	-0.75	0.63	-0.92	-0.82		-0.56	MRK
XOM	0.73	-0.19	0.38	0.26	0.39	0.0	0.68	0.49	-0.56		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	+ 0.81	CRM
XOM	+ 0.73	META
CRM	+ 0.71	META
CRM	+ 0.71	T
XOM	+ 0.68	CRM
MRK	+ 0.63	A

High negative correlations

MRK	- 0.92	CRM
MRK	- 0.82	JPM
MRK	- 0.75	T
JPM	- 0.65	A
MRK	- 0.57	META
XOM	- 0.56	MRK

New York Competition Risk-Adjusted Indicators

There is a big difference between New Etf performing well and New York 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 New York'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	1.05	0.01	(0.01)	0.12	1.40	(1.14)	2.62	(3.15)	8.02
MSFT	0.90	(0.11)	0.00	(0.05)	0.00	0.00	2.09	(2.02)	8.19
UBER	1.56	(0.16)	0.00	(0.06)	0.00	0.00	2.53	(2.44)	20.10
F	1.39	(0.12)	(0.03)	0.02	2.20	(1.34)	2.53	(2.90)	11.72
T	0.92	0.26	0.15	57.17	0.86	(1.04)	2.56	(1.72)	6.47
A	1.12	(0.13)	0.00	(0.16)	0.00	0.00	2.29	(2.42)	9.02
CRM	1.28	0.27	0.23	0.33	0.92	(1.51)	3.18	(1.91)	9.09
JPM	1.11	0.03	0.07	0.12	1.44	(1.15)	2.05	(2.00)	15.87
MRK	0.85	(0.24)	0.00	(1.03)	0.00	0.00	1.73	(2.13)	4.89
XOM	1.04	0.06	0.01	0.20	1.20	(1.10)	2.14	(2.09)	5.78

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