Martin Currie Correlations

MCSE Etf

USD 13.79 0.01 0.07%

The current 90-days correlation between Martin Currie Sustainable and BrandywineGLOBAL Dynamic is 0.51 (i.e., Very weak diversification). The correlation of Martin Currie 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.

Martin Currie Correlation With Market

Poor diversification

The correlation between Martin Currie Sustainable and DJI is 0.6 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Martin Currie Sustainable and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with Martin Etf

0.93	EFG	iShares MSCI EAFE	Pair Corr
0.83	VIGI	Vanguard International	Pair Corr
0.9	IHDG	WisdomTree International	Pair Corr
0.9	CGXU	Capital Group Intern	Pair Corr
0.93	DNL	WisdomTree Global	Pair Corr
0.72	FPXI	First Trust International	Pair Corr
0.92	IQDG	WisdomTree International	Pair Corr
0.91	PIZ	Invesco DWA Developed	Pair Corr
0.85	IDHQ	Invesco SP International	Pair Corr
0.92	BKCI	BNY Mellon ETF	Pair Corr
0.63	GDXU	MicroSectors Gold Miners	Pair Corr
0.78	CSCO	Cisco Systems	Pair Corr
0.79	IBM	International Business	Pair Corr
0.73	MMM	3M Company	Pair Corr
0.68	T	ATT Inc Aggressive Push	Pair Corr
0.73	DD	Dupont De Nemours	Pair Corr
0.63	KO	Coca Cola Sell-off Trend	Pair Corr

Moving against Martin Etf

0.71	MRK	Merck Company	Pair Corr
0.34	AA	Alcoa Corp	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.01	0.57	-0.52	0.29	0.43	0.3	0.91	-0.73	-0.04	META
MSFT	-0.01		-0.6	-0.02	-0.8	0.72	0.88	0.12	0.42	-0.56	MSFT
UBER	0.57	-0.6		-0.23	0.81	-0.28	-0.52	0.54	-0.84	0.57	UBER
F	-0.52	-0.02	-0.23		0.06	-0.14	-0.2	-0.41	0.44	0.42	F
T	0.29	-0.8	0.81	0.06		-0.6	-0.72	0.19	-0.65	0.61	T
A	0.43	0.72	-0.28	-0.14	-0.6		0.82	0.57	0.13	-0.38	A
CRM	0.3	0.88	-0.52	-0.2	-0.72	0.82		0.35	0.22	-0.62	CRM
JPM	0.91	0.12	0.54	-0.41	0.19	0.57	0.35		-0.63	0.0	JPM
MRK	-0.73	0.42	-0.84	0.44	-0.65	0.13	0.22	-0.63		-0.35	MRK
XOM	-0.04	-0.56	0.57	0.42	0.61	-0.38	-0.62	0.0	-0.35		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	+ 0.91	META
CRM	+ 0.88	MSFT
CRM	+ 0.82	A
T	+ 0.81	UBER
A	+ 0.72	MSFT
XOM	+ 0.61	T

High negative correlations

MRK	- 0.84	UBER
T	- 0.8	MSFT
MRK	- 0.73	META
CRM	- 0.72	T
MRK	- 0.65	T
MRK	- 0.63	JPM

Martin Currie Competition Risk-Adjusted Indicators

There is a big difference between Martin Etf performing well and Martin Currie 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 Martin Currie'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	1.63	0.03	0.01	0.02	2.30	(1.45)	2.96	(3.73)	8.90
MSFT	1.11	(0.21)	0.00	(0.24)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.89	0.35	0.15	0.55	2.08	(2.07)	4.72	(3.13)	12.75
F	1.44	0.10	0.05	0.09	2.16	(1.40)	2.71	(2.88)	10.14
T	0.99	0.29	0.17	0.54	1.45	(1.12)	1.90	(1.55)	11.66
A	1.16	(0.19)	0.00	(0.18)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.40	(0.29)	0.00	(0.24)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.14	0.06	0.03	0.24	1.76	(1.09)	2.16	(3.35)	6.85
MRK	1.24	(0.18)	0.00	1.61	0.00	0.00	2.07	(2.25)	11.58
XOM	1.03	0.13	0.09	0.29	1.29	(1.05)	2.55	(2.36)	5.89

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