Calamos ETF Correlations

CPST Etf

USD 26.79 0.01 0.04%

The current 90-days correlation between Calamos ETF Trust and FT Vest Equity is -0.3 (i.e., Very 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. If the correlation is 0, the equities are not correlated; they are entirely random.

Calamos ETF Correlation With Market

Good diversification

The correlation between Calamos ETF Trust and DJI is -0.12 (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 manufacturing.

Moving together with Calamos Etf

0.95	INOV	Innovator ETFs Trust	Pair Corr
0.99	BUFR	First Trust Cboe Sell-off Trend	Pair Corr
0.99	BUFD	FT Cboe Vest	Pair Corr
1.0	PSEP	Innovator SP 500	Pair Corr
0.99	PJAN	Innovator SP 500	Pair Corr
0.99	PJUL	Innovator SP 500	Pair Corr
0.99	PAUG	Innovator Equity Power	Pair Corr
0.99	DNOV	FT Cboe Vest	Pair Corr
0.99	PMAY	Innovator SP 500	Pair Corr
0.99	PJUN	Innovator SP 500	Pair Corr
0.99	SIXD	AIM ETF Products	Pair Corr
0.91	PFFL	ETRACS 2xMonthly Pay	Pair Corr
0.97	CEFD	ETRACS Monthly Pay	Pair Corr
0.84	EBND	SPDR Bloomberg Emerging	Pair Corr
0.72	GE	GE Aerospace	Pair Corr
0.81	BAC	Bank of America	Pair Corr
0.68	AXP	American Express Sell-off Trend	Pair Corr
0.68	WMT	Walmart	Pair Corr
0.74	HPQ	HP Inc	Pair Corr
0.79	JPM	JPMorgan Chase	Pair Corr
0.64	CAT	Caterpillar	Pair Corr
0.74	JNJ	Johnson Johnson	Pair Corr
0.84	TRV	The Travelers Companies	Pair Corr

Moving against Calamos Etf

0.98	VIXY	ProShares VIX Short	Pair Corr
0.98	VXX	iPath Series B	Pair Corr
0.42	YCL	ProShares Ultra Yen	Pair Corr
0.62	KO	Coca Cola	Pair Corr
0.59	DIS	Walt Disney	Pair Corr
0.51	BA	Boeing	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.45	0.14	0.05	0.6	0.01	-0.69	0.22	-0.2	-0.18	META
MSFT	0.45		-0.32	-0.31	-0.2	-0.18	-0.47	0.12	-0.24	-0.42	MSFT
UBER	0.14	-0.32		0.79	0.35	0.58	-0.26	0.54	0.25	0.61	UBER
F	0.05	-0.31	0.79		0.3	0.81	-0.33	0.54	0.58	0.59	F
T	0.6	-0.2	0.35	0.3		0.28	-0.41	0.36	0.14	0.18	T
A	0.01	-0.18	0.58	0.81	0.28		-0.28	0.65	0.65	0.57	A
CRM	-0.69	-0.47	-0.26	-0.33	-0.41	-0.28		-0.4	-0.13	0.09	CRM
JPM	0.22	0.12	0.54	0.54	0.36	0.65	-0.4		0.1	0.6	JPM
MRK	-0.2	-0.24	0.25	0.58	0.14	0.65	-0.13	0.1		0.16	MRK
XOM	-0.18	-0.42	0.61	0.59	0.18	0.57	0.09	0.6	0.16		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

Please upgrade your account to get full access to Macroaxis premium features

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	+ 0.81	F
F	+ 0.79	UBER
JPM	+ 0.65	A
MRK	+ 0.65	A
XOM	+ 0.61	UBER
T	+ 0.6	META

High negative correlations

CRM	- 0.69	META
CRM	- 0.47	MSFT
XOM	- 0.42	MSFT
CRM	- 0.41	T
JPM	- 0.4	CRM
CRM	- 0.33	F

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	1.23	(0.04)	(0.05)	0.00	1.35	(1.41)	2.12	(2.27)	14.28
MSFT	0.73	0.05	0.01	0.21	0.80	(0.77)	1.77	(1.47)	6.50
UBER	1.35	0.06	0.01	0.29	1.71	(1.40)	3.26	(2.30)	8.86
F	1.10	0.05	0.05	0.10	1.21	(1.17)	2.98	(1.83)	5.33
T	0.77	(0.06)	0.00	(1.38)	0.00	0.00	1.75	(2.28)	4.52
A	1.54	0.13	0.10	0.13	1.55	(1.65)	3.82	(2.59)	8.31
CRM	1.33	(0.23)	0.00	(0.16)	0.00	0.00	2.32	(3.30)	8.74
JPM	0.80	0.02	0.02	0.08	1.08	(0.82)	1.69	(1.51)	5.01
MRK	1.30	0.07	0.05	0.14	1.37	(1.40)	2.91	(2.57)	8.08
XOM	0.95	0.02	(0.02)	0.12	1.32	(0.89)	1.77	(2.42)	6.25

Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions

Feedback Blog

Made with optimal in San Francisco

2025 Macroaxis LLC