Credit Suisse Correlations

USOI Etf

USD 65.10 1.20 1.88%

The current 90-days correlation between Credit Suisse X and Credit Suisse X Links is 0.34 (i.e., Weak 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

Good diversification

The correlation between Credit Suisse X Links and DJI is -0.14 (i.e., Good 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 World Market Map 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 persons.

Moving together with Credit Etf

0.87

USO

United States Oil

Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.33	-0.04	0.0	0.49	0.26	0.66	0.46	-0.43	0.32	META
MSFT	0.33		-0.36	0.02	0.29	0.13	0.22	0.14	0.14	-0.58	MSFT
UBER	-0.04	-0.36		0.05	-0.61	0.18	-0.45	-0.38	0.33	0.42	UBER
F	0.0	0.02	0.05		0.29	-0.38	0.39	0.58	-0.39	0.36	F
T	0.49	0.29	-0.61	0.29		-0.35	0.87	0.86	-0.73	0.0	T
A	0.26	0.13	0.18	-0.38	-0.35		-0.28	-0.46	0.56	0.02	A
CRM	0.66	0.22	-0.45	0.39	0.87	-0.28		0.92	-0.84	0.24	CRM
JPM	0.46	0.14	-0.38	0.58	0.86	-0.46	0.92		-0.87	0.24	JPM
MRK	-0.43	0.14	0.33	-0.39	-0.73	0.56	-0.84	-0.87		-0.36	MRK
XOM	0.32	-0.58	0.42	0.36	0.0	0.02	0.24	0.24	-0.36		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	+ 0.92	CRM
CRM	+ 0.87	T
JPM	+ 0.86	T
CRM	+ 0.66	META
JPM	+ 0.58	F
MRK	+ 0.56	A

High negative correlations

MRK	- 0.87	JPM
MRK	- 0.84	CRM
MRK	- 0.73	T
T	- 0.61	UBER
XOM	- 0.58	MSFT
JPM	- 0.46	A

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	1.17	0.29	0.16	0.72	1.18	(1.37)	3.22	(1.87)	8.02
MSFT	0.87	0.05	0.01	0.21	1.40	(0.84)	2.09	(1.57)	8.19
UBER	1.85	(0.29)	0.00	(0.12)	0.00	0.00	2.69	(5.35)	20.41
F	1.40	(0.13)	(0.03)	0.03	2.15	(1.41)	2.53	(2.79)	11.21
T	0.98	0.13	0.02	2.38	1.05	(1.07)	2.36	(1.99)	6.74
A	1.22	0.03	(0.04)	0.25	1.48	(1.28)	2.71	(2.41)	9.02
CRM	1.47	0.41	0.30	0.41	1.02	(1.72)	3.59	(1.93)	13.87
JPM	1.00	0.07	0.13	0.15	0.90	(1.18)	1.73	(1.42)	15.87
MRK	0.93	(0.24)	0.00	(0.80)	0.00	0.00	2.00	(2.17)	5.18
XOM	0.92	(0.01)	(0.07)	0.09	1.18	(0.98)	1.83	(1.96)	6.06

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