Calamos Bitcoin Correlations

CBTY Etf

21.98 0.13 0.59%

The current 90-days correlation between Calamos Bitcoin 80 and CoinShares Altcoins ETF is 0.01 (i.e., Significant diversification). The correlation of Calamos Bitcoin 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 Bitcoin Correlation With Market

Weak diversification

The correlation between Calamos Bitcoin 80 and DJI is 0.35 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Calamos Bitcoin 80 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 80. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in population.

Moving together with Calamos Etf

1.0	GBTC	Grayscale Bitcoin Trust	Pair Corr
0.81	NFLX	Netflix	Pair Corr
0.86	EMC	Global X Funds	Pair Corr

Moving against Calamos Etf

0.77	FB	ProShares Trust ProShares	Pair Corr
0.55	VTV	Vanguard Value Index	Pair Corr
0.51	DUKH	Ocean Park High	Pair Corr
0.5	VEA	Vanguard FTSE Developed	Pair Corr
0.38	BND	Vanguard Total Bond	Pair Corr
0.37	SPY	SPDR SP 500	Pair Corr
0.37	IVV	iShares Core SP	Pair Corr
0.33	VTI	Vanguard Total Stock	Pair Corr
0.85	FSST	Fidelity Sustainability	Pair Corr
0.85	FROG	Jfrog	Pair Corr
0.8	ZJAN	Innovator Equity Defined	Pair Corr
0.77	SLX	VanEck Steel ETF	Pair Corr
0.71	ZSB	USCF Sustainable Battery	Pair Corr
0.69	HYSD	Columbia ETF Trust	Pair Corr
0.64	QLC	FlexShares Quality Large	Pair Corr
0.62	CPER	United States Copper	Pair Corr
0.55	GBUG	Sprott Active Gold	Pair Corr
0.42	JADE	JP Morgan Exchange	Pair Corr
0.37	VOO	Vanguard SP 500	Pair Corr
0.9	IBTG	iShares iBonds Dec	Pair Corr
0.9	CLOX	Series Portfolios Trust	Pair Corr
0.75	MYCI	SPDR SSGA My2029	Pair Corr
0.73	CPSU	Calamos SP 500	Pair Corr
0.66	SGOL	abrdn Physical Gold	Pair Corr
0.65	ECOW	Pacer Emerging Markets	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.66	0.54	-0.62	0.54	-0.57	0.22	-0.15	-0.56	-0.61	META
MSFT	0.66		0.83	-0.51	0.36	-0.2	0.07	-0.32	-0.77	-0.61	MSFT
UBER	0.54	0.83		-0.61	0.57	-0.27	-0.14	-0.27	-0.85	-0.59	UBER
F	-0.62	-0.51	-0.61		-0.7	0.53	0.3	0.41	0.69	0.75	F
T	0.54	0.36	0.57	-0.7		-0.52	-0.5	-0.21	-0.53	-0.47	T
A	-0.57	-0.2	-0.27	0.53	-0.52		-0.18	-0.26	0.46	0.23	A
CRM	0.22	0.07	-0.14	0.3	-0.5	-0.18		0.37	0.07	0.17	CRM
JPM	-0.15	-0.32	-0.27	0.41	-0.21	-0.26	0.37		0.32	0.41	JPM
MRK	-0.56	-0.77	-0.85	0.69	-0.53	0.46	0.07	0.32		0.65	MRK
XOM	-0.61	-0.61	-0.59	0.75	-0.47	0.23	0.17	0.41	0.65		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

UBER	+ 0.83	MSFT
XOM	+ 0.75	F
MRK	+ 0.69	F
MSFT	+ 0.66	META
XOM	+ 0.65	MRK
T	+ 0.57	UBER

High negative correlations

MRK	- 0.85	UBER
MRK	- 0.77	MSFT
T	- 0.7	F
F	- 0.62	META
F	- 0.61	UBER
XOM	- 0.61	MSFT

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	1.39	(0.24)	0.00	(0.19)	0.00	0.00	2.30	(2.72)	13.52
MSFT	0.90	(0.11)	0.00	(0.11)	0.00	0.00	1.78	(2.50)	5.08
UBER	1.46	(0.35)	0.00	(0.25)	0.00	0.00	2.60	(3.82)	10.51
F	1.51	0.13	0.08	0.16	1.69	(1.65)	3.38	(2.63)	16.30
T	0.97	(0.24)	0.00	(0.75)	0.00	0.00	1.61	(2.18)	5.75
A	1.25	0.07	0.06	0.13	1.31	(1.37)	2.34	(2.21)	11.03
CRM	1.54	0.06	0.03	0.13	1.97	(1.52)	3.66	(2.92)	9.91
JPM	1.05	0.00	0.01	0.07	1.40	(1.05)	2.00	(1.91)	7.02
MRK	1.45	0.40	0.28	0.53	1.08	(1.84)	4.85	(2.06)	11.45
XOM	0.94	0.06	0.01	0.33	0.99	(1.00)	1.96	(1.51)	4.99

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