Barclays Capital Correlations

JO Etf

USD 54.00 0.00 0.00%

The current 90-days correlation between Barclays Capital and abrdn Bloomberg All is -0.19 (i.e., Good diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Barclays Capital moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Barclays Capital moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Barclays Capital Correlation With Market

Good diversification

The correlation between Barclays Capital and DJI is -0.09 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Barclays Capital and DJI in the same portfolio, assuming nothing else is changed.

Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in persons.

Moving against Barclays Etf

0.65	GCC	WisdomTree Continuous	Pair Corr
0.58	USD	ProShares Ultra Semi Buyout Trend	Pair Corr
0.57	FTGC	First Trust Global	Pair Corr
0.51	ROM	ProShares Ultra Tech	Pair Corr
0.5	TECL	Direxion Daily Technology	Pair Corr
0.49	SMH	VanEck Semiconductor ETF	Pair Corr
0.47	COMB	GraniteShares Bloomberg	Pair Corr
0.47	QLD	ProShares Ultra QQQ	Pair Corr
0.47	SPXL	Direxion Daily SP500 Sell-off Trend	Pair Corr
0.47	UPRO	ProShares UltraPro SP500 Sell-off Trend	Pair Corr
0.46	BCI	abrdn Bloomberg All	Pair Corr
0.45	GSG	iShares SP GSCI	Pair Corr
0.45	DJP	iPath Bloomberg Commodity	Pair Corr
0.45	CMDY	iShares Bloomberg Roll	Pair Corr
0.44	PDBC	Invesco Optimum Yield	Pair Corr
0.39	GBTC	Grayscale Bitcoin Trust	Pair Corr
0.35	DBC	Invesco DB Commodity Sell-off Trend	Pair Corr
0.34	COMT	iShares GSCI Commodity	Pair Corr
0.63	CSCO	Cisco Systems	Pair Corr
0.53	CVX	Chevron Corp Fiscal Year End 7th of February 2025	Pair Corr
0.51	HPQ	HP Inc	Pair Corr
0.47	JPM	JPMorgan Chase Fiscal Year End 10th of January 2025	Pair Corr
0.43	HD	Home Depot	Pair Corr
0.42	INTC	Intel Fiscal Year End 23rd of January 2025	Pair Corr
0.41	TRV	The Travelers Companies Fiscal Year End 17th of January 2025	Pair Corr
0.4	T	ATT Inc Fiscal Year End 22nd of January 2025	Pair Corr
0.38	XOM	Exxon Mobil Corp Fiscal Year End 7th of February 2025	Pair Corr
0.37	DIS	Walt Disney	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.42	-0.28	-0.07	0.51	0.28	0.65	0.43	-0.4	0.02	META
MSFT	0.42		-0.49	0.04	0.36	0.16	0.29	0.17	0.1	-0.72	MSFT
UBER	-0.28	-0.49		0.05	-0.7	0.11	-0.59	-0.46	0.4	0.47	UBER
F	-0.07	0.04	0.05		0.25	-0.54	0.32	0.51	-0.36	0.25	F
T	0.51	0.36	-0.7	0.25		-0.29	0.88	0.85	-0.72	-0.17	T
A	0.28	0.16	0.11	-0.54	-0.29		-0.26	-0.46	0.57	-0.08	A
CRM	0.65	0.29	-0.59	0.32	0.88	-0.26		0.92	-0.83	0.03	CRM
JPM	0.43	0.17	-0.46	0.51	0.85	-0.46	0.92		-0.87	0.11	JPM
MRK	-0.4	0.1	0.4	-0.36	-0.72	0.57	-0.83	-0.87		-0.25	MRK
XOM	0.02	-0.72	0.47	0.25	-0.17	-0.08	0.03	0.11	-0.25		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

JPM	+ 0.92	CRM
CRM	+ 0.88	T
JPM	+ 0.85	T
CRM	+ 0.65	META
MRK	+ 0.57	A
T	+ 0.51	META

High negative correlations

MRK	- 0.87	JPM
MRK	- 0.83	CRM
MRK	- 0.72	T
XOM	- 0.72	MSFT
T	- 0.7	UBER
CRM	- 0.59	UBER

Barclays Capital Competition Risk-Adjusted Indicators

There is a big difference between Barclays Etf performing well and Barclays Capital 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 Barclays Capital'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	1.15	0.21	0.11	0.55	1.25	(1.33)	3.22	(1.87)	8.02
MSFT	0.84	0.02	(0.01)	0.12	1.45	(0.79)	1.83	(1.57)	8.14
UBER	1.83	(0.28)	0.00	(0.13)	0.00	0.00	2.69	(5.35)	20.41
F	1.39	0.01	(0.03)	0.13	2.12	(1.42)	2.53	(2.79)	11.21
T	0.97	0.15	0.06	2.52	1.02	(1.08)	2.36	(1.99)	6.74
A	1.22	0.00	(0.04)	0.09	1.46	(1.30)	2.71	(2.41)	9.02
CRM	1.47	0.40	0.29	0.38	1.04	(1.72)	3.59	(1.93)	13.87
JPM	1.01	0.08	0.13	0.13	0.94	(1.19)	1.73	(1.42)	15.87
MRK	0.96	(0.20)	0.00	(0.82)	0.00	0.00	2.00	(2.17)	5.18
XOM	0.89	(0.02)	(0.07)	0.02	1.18	(0.97)	1.83	(1.96)	6.06

Barclays Capital Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Barclays Capital etf to make a market-neutral strategy. Peer analysis of Barclays Capital could also be used in its relative valuation, which is a method of valuing Barclays Capital by comparing valuation metrics with similar companies.

abrdn Bloomberg All iShares GSCI Commodity abrdn Bloomberg All iShares Commodity Curve American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup SentinelOne CVS Health Corp Chevron Corp Home Depot International Business Machines Intel

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