Martin Currie Correlations

MCSE Etf

USD 13.49 0.05 0.37%

The current 90-days correlation between Martin Currie Sustainable and BrandywineGLOBAL Dynamic is 0.14 (i.e., Average 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

Significant diversification

The correlation between Martin Currie Sustainable and DJI is 0.08 (i.e., Significant 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

0.9	VIGI	Vanguard International	Pair Corr
0.86	IHDG	WisdomTree International	Pair Corr
0.7	IMTM	iShares MSCI Intl	Pair Corr
0.72	CGXU	Capital Group Intern	Pair Corr
0.87	DNL	WisdomTree Global	Pair Corr
0.9	IQDG	WisdomTree International	Pair Corr
0.85	IDHQ	Invesco SP International	Pair Corr
0.75	GREI	Goldman Sachs Future	Pair Corr
0.8	BITI	ProShares Trust Downward Rally	Pair Corr

Moving against Martin Etf

0.65	PULS	PGIM Ultra Short	Pair Corr
0.64	SPAQ	Horizon Kinetics SPAC	Pair Corr
0.62	BUFF	Innovator Laddered	Pair Corr
0.58	VOO	Vanguard SP 500	Pair Corr
0.44	FPXI	First Trust International	Pair Corr
0.85	TFLR	T Rowe Price	Pair Corr
0.77	IGV	iShares Expanded Tech	Pair Corr
0.73	LONZ	PIMCO ETF Trust	Pair Corr
0.73	DRVN	Driven Brands Holdings	Pair Corr
0.71	VXF	Vanguard Extended Market	Pair Corr
0.68	MVPS	Amplify Thematic All	Pair Corr
0.65	XSLV	Invesco SP SmallCap	Pair Corr
0.65	SFYX	SoFi Next 500	Pair Corr
0.65	SCHG	Schwab Large Cap	Pair Corr
0.64	DVY	iShares Select Dividend	Pair Corr
0.64	NVDL	GraniteShares 15x Long	Pair Corr
0.63	JEPQ	JPMorgan Nasdaq Equity	Pair Corr
0.62	ITOT	iShares Core SP	Pair Corr
0.5	PUI	Invesco DWA Utilities	Pair Corr
0.37	TDSC	Cabana Target Drawdown	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.27	0.55	0.02	0.55	0.04	0.64	0.28	-0.53	0.72	META
MSFT	0.27		0.22	0.17	0.18	-0.01	0.03	-0.12	0.12	-0.19	MSFT
UBER	0.55	0.22		-0.08	-0.06	0.27	-0.01	-0.14	0.08	0.35	UBER
F	0.02	0.17	-0.08		0.16	-0.49	0.42	0.61	-0.31	0.2	F
T	0.55	0.18	-0.06	0.16		-0.5	0.79	0.6	-0.78	0.38	T
A	0.04	-0.01	0.27	-0.49	-0.5		-0.47	-0.62	0.64	-0.01	A
CRM	0.64	0.03	-0.01	0.42	0.79	-0.47		0.85	-0.91	0.65	CRM
JPM	0.28	-0.12	-0.14	0.61	0.6	-0.62	0.85		-0.83	0.48	JPM
MRK	-0.53	0.12	0.08	-0.31	-0.78	0.64	-0.91	-0.83		-0.56	MRK
XOM	0.72	-0.19	0.35	0.2	0.38	-0.01	0.65	0.48	-0.56		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

Click cells to compare fundamentals

Check Volatility

Backtest Portfolio

Please upgrade your account to get full access to Macroaxis premium features

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	+ 0.85	CRM
CRM	+ 0.79	T
XOM	+ 0.72	META
XOM	+ 0.65	CRM
CRM	+ 0.64	META
MRK	+ 0.64	A

High negative correlations

MRK	- 0.91	CRM
MRK	- 0.83	JPM
MRK	- 0.78	T
JPM	- 0.62	A
XOM	- 0.56	MRK
MRK	- 0.53	META

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	1.06	0.06	0.02	0.20	1.40	(1.15)	2.62	(3.15)	8.02
MSFT	0.92	(0.05)	(0.05)	0.05	1.49	(0.89)	2.09	(1.85)	8.19
UBER	1.62	(0.12)	(0.05)	0.00	2.30	(1.74)	2.69	(2.53)	20.10
F	1.43	0.02	(0.04)	0.48	2.24	(1.39)	2.53	(2.90)	11.21
T	0.92	0.28	0.15	(7.88)	0.85	(1.05)	2.56	(1.72)	6.47
A	1.17	(0.09)	0.00	(0.05)	0.00	0.00	2.71	(2.42)	9.02
CRM	1.34	0.21	0.16	0.30	1.16	(1.53)	3.18	(1.93)	9.09
JPM	1.12	(0.01)	0.06	0.11	1.40	(1.21)	2.05	(2.00)	15.87
MRK	0.91	(0.21)	0.00	(0.74)	0.00	0.00	2.00	(2.13)	4.89
XOM	1.01	(0.05)	(0.08)	0.02	1.33	(1.07)	2.10	(2.09)	5.74

Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions

Feedback Blog

Made with optimal in San Francisco

2024 Macroaxis LLC