John Hancock Correlations

HPF Etf

USD 15.77 0.10 0.63%

The current 90-days correlation between John Hancock Preferred and John Hancock Preferred is 0.71 (i.e., Poor diversification). 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.

John Hancock Correlation With Market

Very weak diversification

The correlation between John Hancock Preferred and DJI is 0.48 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding John Hancock Preferred and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with John Etf

Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in John Hancock Preferred. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in american community survey.

Moving together with John Etf

0.7	GBTC	Grayscale Bitcoin Trust	Pair Corr
0.63	USD	ProShares Ultra Semi	Pair Corr
0.61	DFEN	Direxion Daily Aerospace	Pair Corr
0.74	DUSL	Direxion Daily Indus	Pair Corr
0.7	FNGO	MicroSectors FANG Index	Pair Corr
0.7	BPI	Grayscale Funds Trust	Pair Corr
0.76	TAXF	American Century Div	Pair Corr
0.75	EWG	iShares MSCI Germany	Pair Corr
0.73	INRO	BlackRock Industry	Pair Corr
0.85	GRW	TCW Compounders ETF	Pair Corr
0.72	QQQI	NEOS Nasdaq 100 Sell-off Trend	Pair Corr
0.66	HDV	iShares Core High	Pair Corr
0.74	FQAL	Fidelity Quality Factor	Pair Corr
0.79	FMDE	Fidelity Covington Trust	Pair Corr
0.75	DHSB	Strategy Shares	Pair Corr
0.82	ESIX	SPDR SP SmallCap	Pair Corr
0.73	VOO	Vanguard SP 500 Sell-off Trend	Pair Corr
0.67	JIVE	JPMorgan International	Pair Corr
0.77	KWEB	KraneShares CSI China Aggressive Push	Pair Corr
0.79	JEPI	JPMorgan Equity Premium Sell-off Trend	Pair Corr
0.71	VXUS	Vanguard Total Inter	Pair Corr
0.78	WCLD	WisdomTree Cloud Com	Pair Corr
0.81	VIOO	Vanguard SP Small	Pair Corr
0.64	XAR	SPDR SP Aerospace	Pair Corr
0.68	PXF	Invesco FTSE RAFI	Pair Corr
0.75	WBIF	WBI BullBear Value	Pair Corr
0.69	PLTY	Tidal Trust II	Pair Corr
0.77	FTXR	First Trust Nasdaq	Pair Corr

Moving against John Etf

0.5

FNGU

MicroSectors FANG Index Symbol Change

Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.98	0.84	0.82	0.55	0.93	0.29	0.94	0.23	0.56	META
MSFT	0.98		0.87	0.85	0.52	0.89	0.29	0.96	0.24	0.55	MSFT
UBER	0.84	0.87		0.9	0.42	0.81	0.54	0.88	0.21	0.5	UBER
F	0.82	0.85	0.9		0.4	0.84	0.28	0.91	0.43	0.72	F
T	0.55	0.52	0.42	0.4		0.57	0.17	0.5	0.27	0.22	T
A	0.93	0.89	0.81	0.84	0.57		0.24	0.89	0.37	0.67	A
CRM	0.29	0.29	0.54	0.28	0.17	0.24		0.23	-0.26	-0.11	CRM
JPM	0.94	0.96	0.88	0.91	0.5	0.89	0.23		0.32	0.64	JPM
MRK	0.23	0.24	0.21	0.43	0.27	0.37	-0.26	0.32		0.55	MRK
XOM	0.56	0.55	0.5	0.72	0.22	0.67	-0.11	0.64	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

MSFT	+ 0.98	META
JPM	+ 0.96	MSFT
JPM	+ 0.94	META
A	+ 0.93	META
JPM	+ 0.91	F
F	+ 0.9	UBER

High negative correlations

MRK	- 0.26	CRM
XOM	- 0.11	CRM

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	1.51	0.26	0.21	0.32	1.10	(1.82)	3.99	(2.35)	10.48
MSFT	0.90	0.30	0.27	0.47	0.54	(1.09)	2.33	(1.08)	8.85
UBER	1.64	0.20	0.13	0.33	1.40	(2.08)	4.19	(2.54)	10.87
F	1.32	0.14	0.06	0.32	1.47	(1.42)	2.69	(2.61)	7.46
T	1.02	(0.05)	(0.10)	0.00	1.35	(1.06)	2.35	(2.35)	5.71
A	1.46	(0.07)	0.00	0.09	1.81	(1.51)	2.54	(2.89)	14.01
CRM	1.33	(0.13)	(0.04)	0.04	1.74	(1.28)	2.95	(3.19)	9.31
JPM	0.90	0.22	0.18	0.38	0.67	(1.02)	2.25	(1.36)	6.03
MRK	1.39	(0.09)	(0.05)	0.04	1.96	(1.32)	2.88	(3.31)	10.58
XOM	1.13	0.05	(0.04)	0.41	1.36	(1.15)	2.40	(2.58)	5.84

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