Calamos Laddered Correlations

CPSL Etf

USD 26.48 0.04 0.15%

The current 90-days correlation between Calamos Laddered and FT Vest Equity is 0.77 (i.e., Poor diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Calamos Laddered moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Calamos Laddered SP moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Calamos Laddered Correlation With Market

Poor diversification

The correlation between Calamos Laddered SP and DJI is 0.66 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Calamos Laddered SP 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 Laddered SP. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in state.

Moving together with Calamos Etf

0.96	INOV	Innovator ETFs Trust	Pair Corr
1.0	BUFR	First Trust Cboe	Pair Corr
1.0	BUFD	FT Cboe Vest	Pair Corr
1.0	PSEP	Innovator SP 500	Pair Corr
1.0	PJAN	Innovator SP 500	Pair Corr
0.99	PJUL	Innovator SP 500	Pair Corr
1.0	PAUG	Innovator Equity Power	Pair Corr
1.0	DNOV	FT Cboe Vest	Pair Corr
0.99	PMAY	Innovator SP 500	Pair Corr
0.98	PJUN	Innovator SP 500	Pair Corr
0.78	PFFL	ETRACS 2xMonthly Pay	Pair Corr
0.99	ITDD	iShares Trust	Pair Corr
0.63	PMBS	PIMCO Mortgage Backed	Pair Corr
0.64	CAT	Caterpillar	Pair Corr
0.67	IBM	International Business	Pair Corr
0.65	CVX	Chevron Corp	Pair Corr

Moving against Calamos Etf

0.38	TRV	The Travelers Companies	Pair Corr
0.32	HPQ	HP Inc	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.97	0.82	0.79	0.56	0.92	0.17	0.93	0.21	0.51	META
MSFT	0.97		0.84	0.83	0.51	0.86	0.17	0.95	0.23	0.5	MSFT
UBER	0.82	0.84		0.88	0.41	0.78	0.46	0.85	0.18	0.44	UBER
F	0.79	0.83	0.88		0.42	0.8	0.16	0.89	0.43	0.68	F
T	0.56	0.51	0.41	0.42		0.63	0.11	0.46	0.35	0.27	T
A	0.92	0.86	0.78	0.8	0.63		0.15	0.86	0.36	0.63	A
CRM	0.17	0.17	0.46	0.16	0.11	0.15		0.09	-0.33	-0.21	CRM
JPM	0.93	0.95	0.85	0.89	0.46	0.86	0.09		0.32	0.59	JPM
MRK	0.21	0.23	0.18	0.43	0.35	0.36	-0.33	0.32		0.54	MRK
XOM	0.51	0.5	0.44	0.68	0.27	0.63	-0.21	0.59	0.54		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

MSFT	+ 0.97	META
JPM	+ 0.95	MSFT
JPM	+ 0.93	META
A	+ 0.92	META
JPM	+ 0.89	F
F	+ 0.88	UBER

High negative correlations

MRK	- 0.33	CRM
XOM	- 0.21	CRM

Calamos Laddered Competition Risk-Adjusted Indicators

There is a big difference between Calamos Etf performing well and Calamos Laddered 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 Laddered'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	1.47	0.27	0.25	0.41	0.82	(1.79)	3.99	(2.00)	10.48
MSFT	0.84	0.33	0.36	0.63	0.00	(1.04)	2.33	(1.03)	8.85
UBER	1.60	0.05	0.05	0.25	1.44	(1.99)	4.19	(2.54)	10.87
F	1.29	0.10	0.04	0.33	1.40	(1.40)	2.69	(2.33)	7.46
T	1.00	(0.02)	(0.12)	0.14	1.30	(1.05)	2.35	(2.35)	5.71
A	1.53	(0.10)	0.02	0.14	1.77	(1.61)	2.82	(2.89)	14.01
CRM	1.30	(0.17)	(0.04)	0.09	1.64	(1.29)	2.95	(3.19)	9.31
JPM	0.88	0.19	0.16	0.40	0.54	(1.01)	2.25	(1.31)	6.03
MRK	1.40	(0.08)	(0.04)	0.13	1.82	(1.38)	2.90	(3.31)	10.58
XOM	1.10	(0.01)	(0.10)	0.16	1.39	(1.07)	2.18	(2.58)	6.28

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