Calamos ETF Correlations

CPSD Etf

25.98 0.02 0.08%

The current 90-days correlation between Calamos ETF Trust and FT Vest Equity is -0.11 (i.e., Good diversification). The correlation of Calamos ETF 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.

Calamos ETF Correlation With Market

Good diversification

The correlation between Calamos ETF Trust 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 Calamos ETF Trust and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Calamos Etf

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Calamos ETF Trust. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators.

Moving together with Calamos Etf

0.63	BUFR	First Trust Cboe	Pair Corr
0.65	BUFD	FT Cboe Vest	Pair Corr
0.68	PJAN	Innovator SP 500	Pair Corr
0.71	DNOV	FT Cboe Vest	Pair Corr
0.64	PMAY	Innovator SP 500	Pair Corr
0.9	CSCO	Cisco Systems Aggressive Push	Pair Corr
0.71	XOM	Exxon Mobil Corp Aggressive Push	Pair Corr
0.79	AXP	American Express	Pair Corr
0.87	DD	Dupont De Nemours	Pair Corr
0.82	JNJ	Johnson Johnson	Pair Corr
0.8	KO	Coca Cola	Pair Corr
0.91	CAT	Caterpillar	Pair Corr
0.88	IBM	International Business	Pair Corr
0.75	BAC	Bank of America	Pair Corr
0.89	AA	Alcoa Corp	Pair Corr

Moving against Calamos Etf

0.65	HPQ	HP Inc	Pair Corr
0.54	CVX	Chevron Corp	Pair Corr
0.82	HD	Home Depot	Pair Corr
0.64	BA	Boeing	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.65	0.66	-0.61	0.7	-0.72	0.3	-0.07	-0.67	-0.67	META
MSFT	0.65		0.76	-0.39	0.19	-0.34	0.41	0.0	-0.66	-0.51	MSFT
UBER	0.66	0.76		-0.54	0.41	-0.64	0.35	0.27	-0.8	-0.53	UBER
F	-0.61	-0.39	-0.54		-0.57	0.77	0.11	-0.02	0.59	0.6	F
T	0.7	0.19	0.41	-0.57		-0.78	-0.2	0.03	-0.52	-0.48	T
A	-0.72	-0.34	-0.64	0.77	-0.78		-0.11	-0.26	0.7	0.4	A
CRM	0.3	0.41	0.35	0.11	-0.2	-0.11		0.05	-0.29	-0.11	CRM
JPM	-0.07	0.0	0.27	-0.02	0.03	-0.26	0.05		-0.05	0.2	JPM
MRK	-0.67	-0.66	-0.8	0.59	-0.52	0.7	-0.29	-0.05		0.6	MRK
XOM	-0.67	-0.51	-0.53	0.6	-0.48	0.4	-0.11	0.2	0.6		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

A	+ 0.77	F
UBER	+ 0.76	MSFT
T	+ 0.7	META
MRK	+ 0.7	A
UBER	+ 0.66	META
MSFT	+ 0.65	META

High negative correlations

MRK	- 0.8	UBER
A	- 0.78	T
A	- 0.72	META
XOM	- 0.67	META
MRK	- 0.67	META
MRK	- 0.66	MSFT

Calamos ETF Competition Risk-Adjusted Indicators

There is a big difference between Calamos Etf performing well and Calamos ETF 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 Calamos ETF'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	1.38	(0.24)	0.00	(2.60)	0.00	0.00	2.26	(2.72)	13.52
MSFT	0.95	(0.11)	0.00	(0.09)	0.00	0.00	1.85	(2.50)	5.08
UBER	1.57	(0.13)	0.00	0.37	0.00	0.00	3.34	(4.99)	10.91
F	1.49	0.14	0.09	0.19	1.69	(1.68)	3.38	(2.35)	16.30
T	0.95	(0.26)	0.00	2.53	0.00	0.00	1.61	(2.18)	5.75
A	1.25	0.14	0.10	0.23	1.19	(1.41)	2.34	(2.15)	11.03
CRM	1.64	0.11	0.00	(0.34)	2.13	(1.60)	3.66	(3.30)	9.91
JPM	0.98	0.07	(0.02)	(4.16)	1.44	(0.93)	1.77	(1.91)	7.02
MRK	1.40	0.22	0.11	1.10	1.18	(1.83)	4.84	(2.60)	11.45
XOM	0.93	0.09	0.03	0.36	0.89	(0.98)	1.96	(1.41)	4.63

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