Man Active Correlations

MATE Etf

27.65 0.02 0.07%

The current 90-days correlation between Man Active Trend and First Trust Multi Asset is 0.06 (i.e., Significant diversification). The correlation of Man Active 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.

Man Active Correlation With Market

Weak diversification

The correlation between Man Active Trend and DJI is 0.31 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Man Active Trend and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Man Etf

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

Moving against Man Etf

0.43	DBMF	iMGP DBi Managed	Pair Corr
0.42	JEPI	JPMorgan Equity Premium	Pair Corr
0.42	INOV	Innovator ETFs Trust	Pair Corr
0.41	VTV	Vanguard Value Index	Pair Corr
0.41	VEA	Vanguard FTSE Developed	Pair Corr
0.37	KMLM	KFA Mount Lucas	Pair Corr
0.37	WTMF	WisdomTree Managed	Pair Corr
0.5	MCD	McDonalds	Pair Corr
0.45	AXP	American Express	Pair Corr
0.45	JPM	JPMorgan Chase	Pair Corr
0.43	MRK	Merck Company	Pair Corr
0.37	DIS	Walt Disney	Pair Corr
0.36	CSCO	Cisco Systems	Pair Corr
0.36	DD	Dupont De Nemours	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.61	0.35	-0.45	0.24	-0.34	0.35	-0.22	-0.36	-0.45	META
MSFT	0.61		0.83	-0.54	0.43	-0.05	0.0	-0.51	-0.82	-0.65	MSFT
UBER	0.35	0.83		-0.51	0.45	0.21	-0.2	-0.52	-0.82	-0.6	UBER
F	-0.45	-0.54	-0.51		-0.69	0.14	0.33	0.65	0.69	0.78	F
T	0.24	0.43	0.45	-0.69		0.24	-0.61	-0.65	-0.48	-0.61	T
A	-0.34	-0.05	0.21	0.14	0.24		-0.55	-0.25	-0.02	0.04	A
CRM	0.35	0.0	-0.2	0.33	-0.61	-0.55		0.55	0.24	0.27	CRM
JPM	-0.22	-0.51	-0.52	0.65	-0.65	-0.25	0.55		0.69	0.67	JPM
MRK	-0.36	-0.82	-0.82	0.69	-0.48	-0.02	0.24	0.69		0.8	MRK
XOM	-0.45	-0.65	-0.6	0.78	-0.61	0.04	0.27	0.67	0.8		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	+ 0.83	MSFT
XOM	+ 0.8	MRK
XOM	+ 0.78	F
MRK	+ 0.69	F
MRK	+ 0.69	JPM
XOM	+ 0.67	JPM

High negative correlations

MRK	- 0.82	UBER
MRK	- 0.82	MSFT
T	- 0.69	F
JPM	- 0.65	T
XOM	- 0.65	MSFT
XOM	- 0.61	T

Man Active Competition Risk-Adjusted Indicators

There is a big difference between Man Etf performing well and Man Active 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 Man Active'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	1.36	(0.24)	0.00	(0.91)	0.00	0.00	2.30	(2.72)	13.46
MSFT	0.93	(0.14)	0.00	1.10	0.00	0.00	1.65	(2.50)	4.90
UBER	1.49	(0.09)	0.00	0.25	0.00	0.00	2.60	(3.82)	10.23
F	1.41	0.31	0.14	1.78	1.26	(1.68)	3.38	(2.35)	16.30
T	0.90	(0.14)	0.00	3.37	0.00	0.00	1.63	(1.85)	5.78
A	1.09	(0.02)	(0.01)	0.09	1.19	(1.20)	2.34	(2.09)	6.50
CRM	1.60	(0.01)	(0.05)	0.55	2.36	(1.55)	3.66	(3.61)	9.91
JPM	1.18	0.02	(0.04)	0.25	1.67	(1.19)	2.34	(2.34)	7.02
MRK	1.22	0.30	0.18	0.88	1.06	(1.52)	3.59	(1.98)	8.09
XOM	1.06	0.12	0.06	0.33	1.05	(1.18)	2.21	(1.93)	5.82

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