Goldman Sachs Correlations

GUMI Etf

50.20 0.06 0.12%

The current 90-days correlation between Goldman Sachs ETF and Xtrackers California Municipal is 0.41 (i.e., Very weak diversification). The correlation of Goldman Sachs 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.

Goldman Sachs Correlation With Market

Good diversification

The correlation between Goldman Sachs ETF and DJI is -0.05 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs ETF and DJI in the same portfolio, assuming nothing else is changed.

Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Goldman Sachs ETF. 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 Goldman Etf

0.94	JMST	JPMorgan Ultra Short	Pair Corr
0.9	MEAR	iShares Short Maturity	Pair Corr
0.8	FUMB	First Trust Ultra	Pair Corr
0.67	PVI	Invesco VRDO Tax	Pair Corr
0.86	SIXD	AIM ETF Products	Pair Corr
0.69	CEFD	ETRACS Monthly Pay	Pair Corr
0.89	TSJA	TSJA	Pair Corr
0.9	DSJA	DSJA	Pair Corr
0.85	SFYX	SoFi Next 500	Pair Corr
0.85	ITOT	iShares Core SP	Pair Corr
0.88	IGV	iShares Expanded Tech Low Volatility	Pair Corr
0.74	DRVN	Driven Brands Holdings	Pair Corr
0.88	T	ATT Inc Aggressive Push	Pair Corr
0.83	BAC	Bank of America Aggressive Push	Pair Corr
0.92	WMT	Walmart Aggressive Push	Pair Corr
0.87	CSCO	Cisco Systems Aggressive Push	Pair Corr
0.81	CVX	Chevron Corp Fiscal Year End 7th of February 2025	Pair Corr
0.86	AA	Alcoa Corp Fiscal Year End 15th of January 2025	Pair Corr
0.76	HD	Home Depot Sell-off Trend	Pair Corr

Moving against Goldman Etf

0.87	VIIX	VIIX	Pair Corr
0.84	ULE	ProShares Ultra Euro	Pair Corr
0.81	YCL	ProShares Ultra Yen	Pair Corr
0.8	FXY	Invesco CurrencyShares	Pair Corr
0.85	MRK	Merck Company Fiscal Year End 6th of February 2025	Pair Corr
0.8	KO	Coca Cola Sell-off Trend	Pair Corr
0.78	JNJ	Johnson Johnson Fiscal Year End 28th of January 2025	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.28	0.56	0.02	0.58	0.03	0.65	0.28	-0.54	0.71	META
MSFT	0.28		0.23	0.14	0.19	-0.02	0.03	-0.13	0.11	-0.19	MSFT
UBER	0.56	0.23		-0.04	-0.02	0.27	0.01	-0.13	0.06	0.35	UBER
F	0.02	0.14	-0.04		0.14	-0.4	0.44	0.67	-0.31	0.32	F
T	0.58	0.19	-0.02	0.14		-0.51	0.77	0.56	-0.78	0.37	T
A	0.03	-0.02	0.27	-0.4	-0.51		-0.48	-0.64	0.64	-0.01	A
CRM	0.65	0.03	0.01	0.44	0.77	-0.48		0.85	-0.92	0.66	CRM
JPM	0.28	-0.13	-0.13	0.67	0.56	-0.64	0.85		-0.83	0.49	JPM
MRK	-0.54	0.11	0.06	-0.31	-0.78	0.64	-0.92	-0.83		-0.56	MRK
XOM	0.71	-0.19	0.35	0.32	0.37	-0.01	0.66	0.49	-0.56		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	+ 0.85	CRM
CRM	+ 0.77	T
XOM	+ 0.71	META
JPM	+ 0.67	F
XOM	+ 0.66	CRM
CRM	+ 0.65	META

High negative correlations

MRK	- 0.92	CRM
MRK	- 0.83	JPM
MRK	- 0.78	T
JPM	- 0.64	A
XOM	- 0.56	MRK
MRK	- 0.54	META

Goldman Sachs Competition Risk-Adjusted Indicators

There is a big difference between Goldman Etf performing well and Goldman Sachs 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 Goldman Sachs' 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	0.21	1.39	(1.15)	2.62	(3.15)	8.02
MSFT	0.90	(0.03)	(0.04)	0.07	1.49	(0.86)	2.09	(1.85)	8.19
UBER	1.62	(0.13)	(0.05)	0.00	2.26	(1.79)	2.69	(2.53)	20.10
F	1.43	(0.15)	(0.04)	0.02	2.24	(1.39)	2.53	(2.90)	11.21
T	0.92	0.26	0.12	(9.48)	0.86	(1.06)	2.56	(1.72)	6.47
A	1.14	(0.13)	0.00	(0.12)	0.00	0.00	2.29	(2.42)	9.02
CRM	1.29	0.26	0.22	0.36	0.91	(1.53)	3.18	(1.91)	9.09
JPM	1.12	(0.01)	0.06	0.12	1.42	(1.19)	2.05	(2.00)	15.87
MRK	0.89	(0.23)	0.00	(0.76)	0.00	0.00	2.00	(2.13)	4.89
XOM	1.02	(0.06)	(0.09)	0.00	1.34	(1.07)	2.10	(2.09)	5.74

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