Goldman Sachs Correlations

GMNY Etf

50.55 0.09 0.18%

The current 90-days correlation between Goldman Sachs ETF and Xtrackers California Municipal is 0.84 (i.e., Very poor 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. If the correlation is 0, the equities are not correlated; they are entirely random.

Goldman Sachs Correlation With Market

Very good diversification

The correlation between Goldman Sachs ETF and DJI is -0.32 (i.e., Very 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 board of governors.

Moving together with Goldman Etf

0.77	SHY	iShares 1 3	Pair Corr
0.89	PWZ	Invesco California AMT	Pair Corr
0.81	BSCR	Invesco BulletShares 2027	Pair Corr

Moving against Goldman Etf

0.49	RSPY	Tuttle Capital Management	Pair Corr
0.47	DSJA	DSJA	Pair Corr
0.45	MEME	Roundhill Investments	Pair Corr
0.38	IAI	iShares Broker Dealers	Pair Corr
0.38	SHLD	Global X Funds	Pair Corr
0.38	AAA	Listed Funds Trust	Pair Corr
0.38	HYGH	iShares Interest Rate	Pair Corr
0.36	ITWO	Proshares Russell 2000 Low Volatility	Pair Corr
0.35	VONG	Vanguard Russell 1000	Pair Corr
0.33	AIEQ	Amplify ETF Trust	Pair Corr
0.32	DMAR	First Trust Exchange	Pair Corr
0.31	USMC	Principal Mega Cap	Pair Corr
0.31	SPUC	Simplify Equity PLUS	Pair Corr
0.31	YMAX	YieldMax Universe	Pair Corr
0.45	QQQW	Tradr 2X Long	Pair Corr
0.41	FLRT	Pacer Pacific Asset	Pair Corr
0.41	KRE	SPDR SP Regional Aggressive Push	Pair Corr
0.4	INFL	Horizon Kinetics Inf	Pair Corr
0.37	VFH	Vanguard Financials Index	Pair Corr
0.37	CONY	YieldMax N Option	Pair Corr
0.35	SPYG	SPDR Portfolio SP	Pair Corr
0.31	VOO	Vanguard SP 500	Pair Corr
0.31	REVS	Columbia Research	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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