Credit Suisse Correlations

GLDI Etf

USD 160.66 0.63 0.39%

The current 90-days correlation between Credit Suisse X and Credit Suisse X Links is 0.12 (i.e., Average diversification). The correlation of Credit Suisse 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.

Credit Suisse Correlation With Market

Significant diversification

The correlation between Credit Suisse X Links and DJI is 0.06 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Credit Suisse X Links 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 Credit Suisse X Links. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in unemployment.

Moving together with Credit Etf

0.65	GLD	SPDR Gold Shares	Pair Corr
0.65	IAU	iShares Gold Trust	Pair Corr
0.79	SLV	iShares Silver Trust Aggressive Push	Pair Corr
0.65	GLDM	SPDR Gold MiniShares	Pair Corr
0.87	SGOL	abrdn Physical Gold	Pair Corr
0.88	GLTR	abrdn Physical Precious	Pair Corr
0.87	SIVR	abrdn Physical Silver	Pair Corr
0.87	IAUM	iShares Gold Trust	Pair Corr
0.94	GDXU	MicroSectors Gold Miners Trending	Pair Corr
0.73	AVSF	American Century ETF	Pair Corr
0.7	JCPB	JPMorgan Core Plus	Pair Corr
0.62	HCRB	Hartford Core Bond	Pair Corr
0.64	MOTI	VanEck Morningstar Low Volatility	Pair Corr
0.75	HAUZ	Xtrackers International	Pair Corr
0.64	PUI	Invesco DWA Utilities	Pair Corr
0.84	GSEU	Goldman Sachs ActiveBeta	Pair Corr
0.8	DEM	WisdomTree Emerging	Pair Corr
0.77	UNL	United States 12	Pair Corr
0.83	DDWM	WisdomTree Dynamic	Pair Corr
0.8	SPAQ	Horizon Kinetics SPAC	Pair Corr
0.82	VGK	Vanguard FTSE Europe	Pair Corr
0.74	EMB	iShares JP Morgan Symbol Change	Pair Corr
0.83	IXJ	iShares Global Healthcare	Pair Corr
0.8	FIVA	Fidelity International	Pair Corr
0.78	QHY	WisdomTree Short Term Symbol Change	Pair Corr
0.82	AIVI	WisdomTree International	Pair Corr
0.63	IUSB	iShares Core Total	Pair Corr

Moving against Credit Etf

0.56

WTID

UBS ETRACS

Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.23	0.69	-0.47	0.5	0.31	0.07	0.89	-0.78	0.2	META
MSFT	-0.23		-0.65	0.44	-0.75	0.62	0.88	-0.08	0.54	-0.16	MSFT
UBER	0.69	-0.65		-0.51	0.8	-0.22	-0.56	0.62	-0.86	0.42	UBER
F	-0.47	0.44	-0.51		-0.27	0.21	0.3	-0.37	0.66	0.25	F
T	0.5	-0.75	0.8	-0.27		-0.51	-0.65	0.32	-0.7	0.39	T
A	0.31	0.62	-0.22	0.21	-0.51		0.72	0.54	0.15	0.04	A
CRM	0.07	0.88	-0.56	0.3	-0.65	0.72		0.16	0.36	-0.19	CRM
JPM	0.89	-0.08	0.62	-0.37	0.32	0.54	0.16		-0.67	0.23	JPM
MRK	-0.78	0.54	-0.86	0.66	-0.7	0.15	0.36	-0.67		-0.24	MRK
XOM	0.2	-0.16	0.42	0.25	0.39	0.04	-0.19	0.23	-0.24		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	+ 0.89	META
CRM	+ 0.88	MSFT
T	+ 0.8	UBER
CRM	+ 0.72	A
UBER	+ 0.69	META
MRK	+ 0.66	F

High negative correlations

MRK	- 0.86	UBER
MRK	- 0.78	META
T	- 0.75	MSFT
MRK	- 0.7	T
MRK	- 0.67	JPM
CRM	- 0.65	T

Credit Suisse Competition Risk-Adjusted Indicators

There is a big difference between Credit Etf performing well and Credit Suisse 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 Credit Suisse'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	1.59	0.08	0.00	(0.03)	0.00	0.00	2.57	(3.59)	8.90
MSFT	1.10	(0.12)	0.00	(0.30)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.92	0.20	0.10	0.28	2.38	(2.01)	4.72	(3.30)	12.75
F	1.42	0.05	0.00	(0.06)	0.00	0.00	2.71	(2.89)	10.14
T	1.07	0.24	0.16	0.33	1.64	(1.12)	1.90	(2.12)	11.66
A	1.16	(0.12)	0.00	(0.23)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.45	(0.26)	0.00	(0.35)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.10	0.04	0.00	(0.08)	0.00	0.00	1.99	(3.35)	6.85
MRK	1.21	(0.12)	0.00	1.56	0.00	0.00	2.08	(2.24)	11.57
XOM	1.04	0.04	0.07	(0.02)	1.37	(1.07)	2.55	(2.36)	5.89

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