Calamos Bitcoin Correlations

CBOO Etf

24.32 0.02 0.08%

The current 90-days correlation between Calamos Bitcoin Stru and Grayscale Ethereum Covered is 0.67 (i.e., Poor diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Calamos Bitcoin moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Calamos Bitcoin Structured moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Calamos Bitcoin Correlation With Market

Very good diversification

The correlation between Calamos Bitcoin Structured and DJI is -0.22 (i.e., Very good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Calamos Bitcoin Structured 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 Bitcoin Structured. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area.

Moving together with Calamos Etf

0.67

VUG

Vanguard Growth Index

Pair Corr

Moving against Calamos Etf

0.58	AMPD	Tidal ETF Services	Pair Corr
0.55	BND	Vanguard Total Bond Sell-off Trend	Pair Corr
0.54	DFSD	Dimensional ETF Trust	Pair Corr
0.47	VTV	Vanguard Value Index	Pair Corr
0.42	FIDU	Fidelity MSCI Industrials	Pair Corr
0.41	VEA	Vanguard FTSE Developed	Pair Corr
0.56	IBTM	iShares iBonds Dec	Pair Corr
0.53	REGL	ProShares SP MidCap	Pair Corr
0.47	BMVP	Invesco Bloomberg MVP	Pair Corr
0.46	XFIX	Fm Investments Symbol Change	Pair Corr
0.45	TAXT	Northern Trust Tax	Pair Corr
0.43	JEPI	JPMorgan Equity Premium	Pair Corr
0.41	XLU	Utilities Select Sector Aggressive Push	Pair Corr
0.36	NULV	Nuveen ESG Large	Pair Corr
0.36	PCEM	Litman Gregory Funds	Pair Corr
0.75	DOGG	First Trust Exchange Low Volatility	Pair Corr
0.59	LVHI	Franklin International Low Volatility	Pair Corr
0.5	SCDV	ETF Series Solutions	Pair Corr
0.47	SPVM	Invesco SP 500	Pair Corr
0.41	STXE	EA Series Trust	Pair Corr
0.36	IAUM	iShares Gold Trust	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.35	-0.4	0.4	0.13	-0.47	-0.07	0.34	0.42	0.38	META
MSFT	-0.35		0.82	-0.57	-0.71	0.74	0.85	0.07	-0.87	-0.92	MSFT
UBER	-0.4	0.82		-0.51	-0.57	0.81	0.6	-0.07	-0.8	-0.77	UBER
F	0.4	-0.57	-0.51		0.17	-0.46	-0.31	0.28	0.72	0.63	F
T	0.13	-0.71	-0.57	0.17		-0.47	-0.78	-0.15	0.5	0.63	T
A	-0.47	0.74	0.81	-0.46	-0.47		0.54	-0.01	-0.66	-0.8	A
CRM	-0.07	0.85	0.6	-0.31	-0.78	0.54		0.44	-0.64	-0.83	CRM
JPM	0.34	0.07	-0.07	0.28	-0.15	-0.01	0.44		0.2	-0.1	JPM
MRK	0.42	-0.87	-0.8	0.72	0.5	-0.66	-0.64	0.2		0.86	MRK
XOM	0.38	-0.92	-0.77	0.63	0.63	-0.8	-0.83	-0.1	0.86		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

XOM	+ 0.86	MRK
CRM	+ 0.85	MSFT
UBER	+ 0.82	MSFT
A	+ 0.81	UBER
A	+ 0.74	MSFT
MRK	+ 0.72	F

High negative correlations

XOM	- 0.92	MSFT
MRK	- 0.87	MSFT
XOM	- 0.83	CRM
XOM	- 0.8	A
MRK	- 0.8	UBER
CRM	- 0.78	T

Calamos Bitcoin Competition Risk-Adjusted Indicators

There is a big difference between Calamos Etf performing well and Calamos Bitcoin 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 Bitcoin'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	0.07	0.04	0.14	1.43	(1.78)	3.43	(2.60)	13.69
MSFT	1.33	(0.37)	0.00	(1.03)	0.00	0.00	1.90	(2.74)	13.28
UBER	1.55	(0.39)	0.00	(0.71)	0.00	0.00	2.46	(3.82)	11.09
F	1.21	0.03	0.02	0.07	1.25	(1.45)	3.34	(2.30)	7.16
T	1.01	0.14	0.10	(18.48)	0.95	(1.16)	3.87	(1.76)	5.31
A	1.27	(0.31)	0.00	(0.20)	0.00	0.00	2.90	(2.73)	7.85
CRM	1.72	(0.42)	0.00	(0.40)	0.00	0.00	2.94	(4.75)	12.37
JPM	1.26	(0.10)	0.00	(0.03)	0.00	0.00	2.34	(3.11)	7.38
MRK	1.29	0.43	0.31	0.77	0.98	(1.58)	2.93	(1.98)	8.74
XOM	1.27	0.39	0.25	1.59	1.08	(1.47)	2.90	(2.12)	6.83

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