John Hancock Correlations

The correlation of John Hancock 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.

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Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in population.

Moving together with John Etf

0.96	IUSB	iShares Core Total	Pair Corr
0.98	FIXD	First Trust TCW	Pair Corr
0.95	FBND	Fidelity Total Bond	Pair Corr
0.95	TOTL	SPDR DoubleLine Total	Pair Corr
0.96	HTRB	Hartford Total Return	Pair Corr
0.97	JCPB	JPMorgan Core Plus	Pair Corr
0.92	VBND	Vident Core Bond	Pair Corr
0.82	CGCP	Capital Group Core	Pair Corr
0.71	TRV	The Travelers Companies	Pair Corr
0.65	VZ	Verizon Communications	Pair Corr
0.65	T	ATT Inc Earnings Call This Week	Pair Corr

Moving against John Etf

0.43	QTJA	Innovator ETFs Trust	Pair Corr
0.42	UPRO	ProShares UltraPro SP500	Pair Corr
0.41	QTOC	Innovator ETFs Trust	Pair Corr
0.34	XTOC	Innovator ETFs Trust	Pair Corr
0.34	XTJA	Innovator ETFs Trust	Pair Corr
0.58	WMT	Walmart	Pair Corr
0.44	JPM	JPMorgan Chase	Pair Corr
0.44	HD	Home Depot	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.77	0.27	-0.34	-0.66	0.94	0.91	0.88	0.43	0.17	META
MSFT	0.77		0.56	0.01	-0.5	0.72	0.69	0.82	0.19	0.02	MSFT
UBER	0.27	0.56		0.18	-0.02	0.15	0.22	0.5	-0.13	-0.03	UBER
F	-0.34	0.01	0.18		0.36	-0.26	-0.32	-0.25	0.22	0.34	F
T	-0.66	-0.5	-0.02	0.36		-0.76	-0.69	-0.52	-0.17	0.29	T
A	0.94	0.72	0.15	-0.26	-0.76		0.87	0.82	0.48	0.2	A
CRM	0.91	0.69	0.22	-0.32	-0.69	0.87		0.84	0.41	0.09	CRM
JPM	0.88	0.82	0.5	-0.25	-0.52	0.82	0.84		0.15	0.13	JPM
MRK	0.43	0.19	-0.13	0.22	-0.17	0.48	0.41	0.15		0.48	MRK
XOM	0.17	0.02	-0.03	0.34	0.29	0.2	0.09	0.13	0.48		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

A	+ 0.94	META
CRM	+ 0.91	META
JPM	+ 0.88	META
CRM	+ 0.87	A
JPM	+ 0.84	CRM
JPM	+ 0.82	MSFT

High negative correlations

A	- 0.76	T
CRM	- 0.69	T
T	- 0.66	META
JPM	- 0.52	T
T	- 0.5	MSFT
F	- 0.34	META

John Hancock Competition Risk-Adjusted Indicators

There is a big difference between John Etf performing well and John Hancock 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 John Hancock'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	2.27	0.04	0.00	(0.09)	0.00	0.00	4.00	(4.67)	21.50
MSFT	1.50	0.11	0.05	(0.01)	2.01	(1.50)	3.19	(3.34)	13.79
UBER	2.43	0.39	0.16	(4.69)	2.88	(2.54)	5.87	(4.21)	16.03
F	1.89	0.11	0.09	(0.73)	2.65	(1.92)	3.19	(3.88)	13.11
T	1.17	0.26	0.14	0.56	2.24	(1.15)	1.97	(3.02)	9.07
A	1.65	(0.31)	0.00	(0.38)	0.00	0.00	2.80	(5.45)	14.45
CRM	1.80	(0.32)	0.00	2.94	0.00	0.00	2.91	(4.51)	13.13
JPM	1.58	0.08	0.00	(0.05)	0.00	0.00	2.88	(4.15)	11.14
MRK	1.52	(0.28)	0.00	1.26	0.00	0.00	2.43	(4.81)	9.08
XOM	1.39	0.08	0.00	(0.01)	0.00	0.00	2.80	(3.21)	10.54

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John Hancock Correlations

Moving together with John Etf

Moving against John Etf

Related Correlations Analysis

Correlation Matchups

John Hancock Competition Risk-Adjusted Indicators

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