JPMorgan ETFs Correlations

BBGE Etf

77.97 0.16 0.21%

The current 90-days correlation between JPMorgan ETFs ICAV and JPMorgan ETFs ICAV is -0.04 (i.e., Good diversification). The correlation of JPMorgan ETFs 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. If the correlation is 0, the equities are not correlated; they are entirely random.

JPMorgan ETFs Correlation With Market

Good diversification

The correlation between JPMorgan ETFs ICAV and DJI is -0.11 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding JPMorgan ETFs ICAV and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to JPMorgan ETFs could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace JPMorgan ETFs when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back JPMorgan ETFs - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling JPMorgan ETFs ICAV to buy it.

Moving against JPMorgan Etf

0.69	3PYE	Leverage Shares 3x	Pair Corr
0.69	FTNE	GraniteShares FATANG ETC	Pair Corr
0.68	FANE	GraniteShares FAANG ETC	Pair Corr
0.67	INFU	Lyxor 10Y Inflation	Pair Corr
0.64	3PLT	Leverage Shares 3x	Pair Corr
0.64	3FNE	GraniteShares 3x Long	Pair Corr
0.61	SMT	Scottish Mortgage	Pair Corr
0.5	NVD2	Leverage Shares 2x	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.27	0.58	-0.01	0.64	0.02	0.73	0.31	-0.58	0.74	META
MSFT	0.27		0.22	0.12	0.18	-0.03	0.04	-0.16	0.1	-0.18	MSFT
UBER	0.58	0.22		0.0	0.09	0.23	0.12	-0.03	-0.01	0.42	UBER
F	-0.01	0.12	0.0		-0.03	-0.36	0.33	0.61	-0.22	0.27	F
T	0.64	0.18	0.09	-0.03		-0.44	0.7	0.43	-0.73	0.38	T
A	0.02	-0.03	0.23	-0.36	-0.44		-0.45	-0.64	0.62	0.02	A
CRM	0.73	0.04	0.12	0.33	0.7	-0.45		0.8	-0.92	0.67	CRM
JPM	0.31	-0.16	-0.03	0.61	0.43	-0.64	0.8		-0.82	0.48	JPM
MRK	-0.58	0.1	-0.01	-0.22	-0.73	0.62	-0.92	-0.82		-0.55	MRK
XOM	0.74	-0.18	0.42	0.27	0.38	0.02	0.67	0.48	-0.55		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	+ 0.8	CRM
XOM	+ 0.74	META
CRM	+ 0.73	META
CRM	+ 0.7	T
XOM	+ 0.67	CRM
T	+ 0.64	META

High negative correlations

MRK	- 0.92	CRM
MRK	- 0.82	JPM
MRK	- 0.73	T
JPM	- 0.64	A
MRK	- 0.58	META
XOM	- 0.55	MRK

JPMorgan ETFs Competition Risk-Adjusted Indicators

There is a big difference between JPMorgan Etf performing well and JPMorgan ETFs 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 JPMorgan ETFs' 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	1.07	0.05	0.02	0.16	1.41	(1.15)	2.62	(3.15)	8.02
MSFT	0.89	(0.10)	0.00	(0.05)	0.00	0.00	2.08	(2.03)	8.19
UBER	1.56	(0.15)	0.00	(0.06)	0.00	0.00	2.53	(2.44)	20.10
F	1.40	(0.09)	(0.02)	0.02	2.20	(1.37)	2.53	(2.90)	11.72
T	0.91	0.26	0.16	(47.59)	0.84	(1.03)	2.56	(1.72)	6.47
A	1.09	(0.16)	0.00	(0.27)	0.00	0.00	2.11	(2.42)	9.02
CRM	1.25	0.24	0.20	0.30	0.94	(1.47)	3.18	(1.91)	9.09
JPM	1.09	0.03	0.06	0.10	1.43	(1.11)	2.05	(2.00)	15.87
MRK	0.83	(0.26)	0.00	(1.64)	0.00	0.00	1.68	(2.13)	4.89
XOM	1.03	0.04	0.00	0.15	1.22	(1.09)	2.14	(2.09)	5.78

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Our tools can tell you how much better you can do entering a position in JPMorgan ETFs without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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