Barings Global Correlations

BGH Etf

USD 15.93 0.07 0.44%

The current 90-days correlation between Barings Global Short and Ares Dynamic Credit is 0.04 (i.e., Significant diversification). The correlation of Barings Global 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.

Barings Global Correlation With Market

Significant diversification

The correlation between Barings Global Short and DJI is 0.01 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Barings Global Short and DJI in the same portfolio, assuming nothing else is changed.

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Barings Global Short. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in price.

Moving together with Barings Etf

0.82	CPSL	Calamos Laddered	Pair Corr
0.61	GLDX	USCF Gold Strategy Symbol Change	Pair Corr
0.73	QQQM	Invesco NASDAQ 100	Pair Corr
0.81	LALT	Invesco Multi Strategy	Pair Corr
0.72	UJAN	Innovator SP 500	Pair Corr
0.69	XBJA	Innovator ETFs Trust	Pair Corr
0.78	MKAM	MKAM ETF	Pair Corr
0.75	BTC	Grayscale Bitcoin Mini	Pair Corr
0.79	ANEW	ProShares MSCI Trans	Pair Corr
0.79	NOCT	Innovator Growth 100	Pair Corr
0.84	HTEC	Robo Global Healthcare	Pair Corr
0.76	BUCK	Simplify Stable Income	Pair Corr
0.78	IBIC	iShares Trust	Pair Corr
0.78	FOCT	First Trust Exchange	Pair Corr
0.79	YBTC	Roundhill Bitcoin Covered Low Volatility	Pair Corr
0.76	VTI	Vanguard Total Stock	Pair Corr
0.76	SPY	SPDR SP 500	Pair Corr
0.78	JEPQ	JPMorgan Nasdaq Equity	Pair Corr
0.69	OLO	Olo Inc	Pair Corr
0.78	IBID	iShares Trust	Pair Corr
0.8	FLAO	AIM ETF Products	Pair Corr
0.71	ISPY	ProShares SP 500	Pair Corr
0.78	RVRB	Advisors Series Trust	Pair Corr
0.81	XMAR	First Trust Exchange	Pair Corr
0.81	INFO	Harbor ETF Trust	Pair Corr
0.65	VGT	Vanguard Information	Pair Corr
0.8	CRUZ	Defiance Hotel Airline	Pair Corr
0.81	DSEP	FT Cboe Vest	Pair Corr
0.79	VOT	Vanguard Mid Cap	Pair Corr
0.72	JANT	AIM ETF Products	Pair Corr

Moving against Barings Etf

0.73

BITI

ProShares Trust

Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.62	-0.43	-0.5	0.58	0.77	0.5	0.62	-0.15	-0.63	META
MSFT	0.62		-0.46	-0.23	0.48	0.4	0.6	0.3	-0.01	-0.46	MSFT
UBER	-0.43	-0.46		0.65	-0.3	-0.2	-0.71	-0.25	0.31	0.78	UBER
F	-0.5	-0.23	0.65		0.05	-0.32	-0.17	-0.06	0.09	0.9	F
T	0.58	0.48	-0.3	0.05		0.41	0.67	0.59	-0.17	-0.17	T
A	0.77	0.4	-0.2	-0.32	0.41		0.25	0.72	-0.21	-0.39	A
CRM	0.5	0.6	-0.71	-0.17	0.67	0.25		0.5	-0.29	-0.41	CRM
JPM	0.62	0.3	-0.25	-0.06	0.59	0.72	0.5		-0.55	-0.24	JPM
MRK	-0.15	-0.01	0.31	0.09	-0.17	-0.21	-0.29	-0.55		0.16	MRK
XOM	-0.63	-0.46	0.78	0.9	-0.17	-0.39	-0.41	-0.24	0.16		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	+ 0.9	F
XOM	+ 0.78	UBER
A	+ 0.77	META
JPM	+ 0.72	A
CRM	+ 0.67	T
F	+ 0.65	UBER

High negative correlations

CRM	- 0.71	UBER
XOM	- 0.63	META
MRK	- 0.55	JPM
F	- 0.5	META
XOM	- 0.46	MSFT
UBER	- 0.46	MSFT

Barings Global Competition Risk-Adjusted Indicators

There is a big difference between Barings Etf performing well and Barings Global 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 Barings Global'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	1.41	0.26	0.13	0.73	1.40	(1.61)	3.43	(2.31)	7.43
MSFT	1.12	(0.03)	0.00	(0.42)	0.00	0.00	2.20	(2.79)	7.31
UBER	1.56	(0.23)	0.00	(3.08)	0.00	0.00	2.67	(5.35)	12.29
F	1.47	(0.18)	0.00	(0.20)	0.00	0.00	2.57	(2.90)	11.21
T	1.00	0.10	0.04	0.30	1.08	(1.12)	1.91	(1.84)	7.94
A	1.20	0.19	0.11	0.48	1.06	(1.46)	2.92	(2.16)	8.06
CRM	1.51	0.34	0.15	2.71	1.42	(1.76)	3.70	(2.88)	14.80
JPM	1.05	0.25	0.15	0.96	1.05	(1.23)	1.92	(1.42)	15.87
MRK	1.03	(0.11)	0.00	(0.43)	0.00	0.00	2.00	(2.13)	5.24
XOM	0.82	(0.16)	0.00	(0.28)	0.00	0.00	1.71	(1.74)	6.06

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