Kurv High Correlations

KYLD Etf

18.84 0.85 4.32%

The current 90-days correlation between Kurv High Income and PIMCO RAFI Dynamic is 0.42 (i.e., Very weak diversification). The correlation of Kurv High 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.

Kurv High Correlation With Market

Weak diversification

The correlation between Kurv High Income 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 Kurv High Income and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Kurv Etf

Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Kurv High Income. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area.

Moving against Kurv Etf

0.43

Procter Gamble

Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.41	-0.42	0.44	0.17	-0.59	0.03	0.31	0.43	0.45	META
MSFT	-0.41		0.75	-0.56	-0.27	0.52	0.62	0.04	-0.8	-0.83	MSFT
UBER	-0.42	0.75		-0.51	-0.08	0.63	0.26	-0.1	-0.77	-0.61	UBER
F	0.44	-0.56	-0.51		-0.18	-0.43	-0.1	0.38	0.71	0.65	F
T	0.17	-0.27	-0.08	-0.18		0.04	-0.58	-0.22	-0.01	0.2	T
A	-0.59	0.52	0.63	-0.43	0.04		0.14	-0.07	-0.47	-0.65	A
CRM	0.03	0.62	0.26	-0.1	-0.58	0.14		0.59	-0.29	-0.64	CRM
JPM	0.31	0.04	-0.1	0.38	-0.22	-0.07	0.59		0.25	-0.11	JPM
MRK	0.43	-0.8	-0.77	0.71	-0.01	-0.47	-0.29	0.25		0.72	MRK
XOM	0.45	-0.83	-0.61	0.65	0.2	-0.65	-0.64	-0.11	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

UBER	+ 0.75	MSFT
XOM	+ 0.72	MRK
MRK	+ 0.71	F
XOM	+ 0.65	F
A	+ 0.63	UBER
CRM	+ 0.62	MSFT

High negative correlations

XOM	- 0.83	MSFT
MRK	- 0.8	MSFT
MRK	- 0.77	UBER
XOM	- 0.65	A
XOM	- 0.64	CRM
XOM	- 0.61	UBER

Kurv High Competition Risk-Adjusted Indicators

There is a big difference between Kurv Etf performing well and Kurv High 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 Kurv High'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	1.55	0.02	(0.01)	(0.47)	1.62	(1.79)	3.43	(2.72)	13.36
MSFT	1.23	(0.34)	0.00	1.81	0.00	0.00	1.78	(2.70)	13.28
UBER	1.60	(0.39)	0.00	(0.56)	0.00	0.00	2.46	(5.06)	11.09
F	1.22	0.10	0.05	0.85	1.20	(1.45)	3.38	(2.35)	7.16
T	0.94	0.16	0.13	0.84	0.84	(1.06)	2.02	(1.54)	4.31
A	1.22	(0.23)	0.00	(0.13)	0.00	0.00	2.90	(2.58)	7.85
CRM	1.64	(0.36)	0.00	3.41	0.00	0.00	2.94	(5.31)	12.37
JPM	1.12	0.05	0.01	(0.31)	1.63	(1.14)	2.18	(3.11)	7.38
MRK	1.32	0.48	0.32	0.86	1.07	(1.63)	3.59	(1.98)	8.09
XOM	1.15	0.38	0.28	0.71	0.92	(1.37)	2.69	(2.11)	5.85

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