Credit Suisse Correlations

MLPO Etf

USD 14.90 3.61 31.98%

The current 90-days correlation between Credit Suisse and First Trust North is -0.16 (i.e., Good diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Credit Suisse moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Credit Suisse moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Credit Suisse Correlation With Market

Good diversification

The correlation between Credit Suisse and DJI is -0.01 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Credit Suisse and DJI in the same portfolio, assuming nothing else is changed.

Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in american community survey.

Moving together with Credit Etf

0.63

Boeing Fiscal Year End 29th of January 2025

Pair Corr

Moving against Credit Etf

0.4	USD	ProShares Ultra Semi Buyout Trend	Pair Corr
0.37	TPYP	Tortoise North American	Pair Corr
0.36	MLPX	Global X MLP	Pair Corr
0.35	ENFR	Alerian Energy Infra	Pair Corr
0.76	INTC	Intel Fiscal Year End 23rd of January 2025	Pair Corr
0.52	HPQ	HP Inc	Pair Corr
0.46	CVX	Chevron Corp Fiscal Year End 7th of February 2025	Pair Corr
0.35	JPM	JPMorgan Chase Fiscal Year End 10th of January 2025	Pair Corr
0.35	CSCO	Cisco Systems	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.37	-0.17	-0.12	0.53	0.26	0.66	0.45	-0.41	0.18	META
MSFT	0.37		-0.44	-0.05	0.36	0.16	0.25	0.15	0.13	-0.66	MSFT
UBER	-0.17	-0.44		0.06	-0.67	0.12	-0.53	-0.43	0.37	0.44	UBER
F	-0.12	-0.05	0.06		0.21	-0.47	0.32	0.54	-0.35	0.34	F
T	0.53	0.36	-0.67	0.21		-0.26	0.89	0.83	-0.73	-0.09	T
A	0.26	0.16	0.12	-0.47	-0.26		-0.26	-0.46	0.57	-0.08	A
CRM	0.66	0.25	-0.53	0.32	0.89	-0.26		0.92	-0.84	0.14	CRM
JPM	0.45	0.15	-0.43	0.54	0.83	-0.46	0.92		-0.87	0.18	JPM
MRK	-0.41	0.13	0.37	-0.35	-0.73	0.57	-0.84	-0.87		-0.31	MRK
XOM	0.18	-0.66	0.44	0.34	-0.09	-0.08	0.14	0.18	-0.31		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	+ 0.89	T
JPM	+ 0.83	T
CRM	+ 0.66	META
MRK	+ 0.57	A
JPM	+ 0.54	F

High negative correlations

MRK	- 0.87	JPM
MRK	- 0.84	CRM
MRK	- 0.73	T
T	- 0.67	UBER
XOM	- 0.66	MSFT
CRM	- 0.53	UBER

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	0.27	0.15	0.67	1.17	(1.37)	3.22	(1.87)	8.02
MSFT	0.84	0.03	(0.01)	0.16	1.47	(0.79)	1.83	(1.57)	8.14
UBER	1.84	(0.29)	0.00	(0.14)	0.00	0.00	2.69	(5.35)	20.41
F	1.39	(0.13)	(0.04)	0.01	2.12	(1.42)	2.53	(2.79)	11.21
T	0.98	0.12	0.03	0.67	1.05	(1.07)	2.36	(1.99)	6.74
A	1.22	(0.01)	(0.05)	0.08	1.47	(1.30)	2.71	(2.41)	9.02
CRM	1.47	0.42	0.30	0.41	1.03	(1.71)	3.59	(1.93)	13.87
JPM	1.01	0.06	0.12	0.14	0.92	(1.19)	1.73	(1.42)	15.87
MRK	0.95	(0.21)	0.00	(0.78)	0.00	0.00	2.00	(2.17)	5.18
XOM	0.90	0.01	(0.05)	0.14	1.16	(0.98)	1.83	(1.96)	6.06

Credit Suisse Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Credit Suisse etf to make a market-neutral strategy. Peer analysis of Credit Suisse could also be used in its relative valuation, which is a method of valuing Credit Suisse by comparing valuation metrics with similar companies.

First Trust North Global X MLP InfraCap MLP ETF Barclays ETN Select UBS AG London American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup SentinelOne CVS Health Corp Chevron Corp Home Depot International Business Machines

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