Carlyle Credit Correlations

CCIF Etf

4.05 0.02 0.49%

The current 90-days correlation between Carlyle Credit Income and Nuveen Massachusetts Quality is -0.13 (i.e., Good diversification). The correlation of Carlyle Credit 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.

Carlyle Credit Correlation With Market

Very good diversification

The correlation between Carlyle Credit Income and DJI is -0.48 (i.e., Very good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Carlyle Credit Income and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Carlyle Etf

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Carlyle Credit Income. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.

Moving against Carlyle Etf

0.61	RDIV	Invesco SP Ultra	Pair Corr
0.52	GAPR	First Trust Exchange	Pair Corr
0.51	AHYB	American Century ETF	Pair Corr
0.46	SIXD	AIM ETF Products	Pair Corr
0.46	MART	Allianzim Large Cap	Pair Corr
0.42	FLCB	Franklin Templeton ETF	Pair Corr
0.4	AGG	iShares Core Aggregate	Pair Corr
0.38	BND	Vanguard Total Bond	Pair Corr
0.37	SPAB	SPDR Portfolio Aggregate	Pair Corr
0.36	EAGG	iShares ESG Aggregate	Pair Corr
0.35	SEIX	Virtus ETF Trust	Pair Corr
0.33	AGGY	WisdomTree Yield Enhanced	Pair Corr
0.69	VZ	Verizon Communications Aggressive Push	Pair Corr
0.65	JNJ	Johnson Johnson	Pair Corr
0.64	MCD	McDonalds Earnings Call This Week	Pair Corr
0.63	MRK	Merck Company Aggressive Push	Pair Corr
0.62	XOM	Exxon Mobil Corp Aggressive Push	Pair Corr
0.56	CSCO	Cisco Systems Earnings Call This Week	Pair Corr
0.56	KO	Coca Cola Aggressive Push	Pair Corr
0.56	CAT	Caterpillar	Pair Corr
0.55	BINC	BlackRock ETF Trust	Pair Corr
0.5	TRV	The Travelers Companies	Pair Corr
0.49	AA	Alcoa Corp	Pair Corr
0.49	BAC	Bank of America Aggressive Push	Pair Corr
0.44	OASC	OneAscent Small Cap	Pair Corr
0.44	BA	Boeing	Pair Corr
0.42	PFE	Pfizer Inc Aggressive Push	Pair Corr
0.4	GE	GE Aerospace	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.45	-0.5	0.47	0.14	-0.57	-0.04	0.32	0.49	0.47	META
MSFT	-0.45		0.73	-0.53	-0.42	0.59	0.71	0.01	-0.8	-0.87	MSFT
UBER	-0.5	0.73		-0.48	-0.15	0.66	0.32	-0.16	-0.8	-0.63	UBER
F	0.47	-0.53	-0.48		-0.17	-0.35	-0.13	0.38	0.7	0.63	F
T	0.14	-0.42	-0.15	-0.17		-0.05	-0.6	-0.11	0.14	0.28	T
A	-0.57	0.59	0.66	-0.35	-0.05		0.26	-0.08	-0.49	-0.68	A
CRM	-0.04	0.71	0.32	-0.13	-0.6	0.26		0.5	-0.38	-0.7	CRM
JPM	0.32	0.01	-0.16	0.38	-0.11	-0.08	0.5		0.25	-0.07	JPM
MRK	0.49	-0.8	-0.8	0.7	0.14	-0.49	-0.38	0.25		0.76	MRK
XOM	0.47	-0.87	-0.63	0.63	0.28	-0.68	-0.7	-0.07	0.76		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	+ 0.76	MRK
UBER	+ 0.73	MSFT
CRM	+ 0.71	MSFT
MRK	+ 0.7	F
A	+ 0.66	UBER
XOM	+ 0.63	F

High negative correlations

XOM	- 0.87	MSFT
MRK	- 0.8	UBER
MRK	- 0.8	MSFT
XOM	- 0.7	CRM
XOM	- 0.68	A
XOM	- 0.63	UBER

Carlyle Credit Competition Risk-Adjusted Indicators

There is a big difference between Carlyle Etf performing well and Carlyle Credit 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 Carlyle Credit'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	1.51	0.02	(0.01)	0.11	1.55	(1.74)	3.43	(2.67)	13.69
MSFT	1.32	(0.41)	0.00	(0.89)	0.00	0.00	1.85	(2.74)	13.28
UBER	1.55	(0.47)	0.00	(0.70)	0.00	0.00	2.41	(5.06)	11.09
F	1.22	0.03	0.02	0.11	1.20	(1.45)	3.38	(2.35)	7.16
T	0.94	0.16	0.09	1.52	0.83	(1.06)	2.02	(1.54)	4.32
A	1.21	(0.26)	0.00	(0.14)	0.00	0.00	2.90	(2.58)	7.85
CRM	1.71	(0.54)	0.00	(0.39)	0.00	0.00	2.94	(5.31)	12.37
JPM	1.20	(0.04)	0.00	0.05	1.67	(1.24)	2.34	(3.11)	7.38
MRK	1.26	0.56	0.43	0.97	0.69	(1.62)	3.59	(1.93)	8.09
XOM	1.17	0.41	0.26	3.45	0.94	(1.39)	2.69	(2.11)	5.85

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