Western AssetClaymore Correlations

WIA Etf

USD 8.40 0.05 0.60%

The current 90-days correlation between Western AssetClaymore and BNY Mellon High is 0.01 (i.e., Significant diversification). The correlation of Western AssetClaymore 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.

Western AssetClaymore Correlation With Market

Very weak diversification

The correlation between Western AssetClaymore Infl and DJI is 0.41 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Western AssetClaymore Infl and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Western Etf

Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in Western AssetClaymore Infl. 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 together with Western Etf

0.65	OIH	VanEck Oil Services	Pair Corr
0.61	EDGI	Advisors Inner	Pair Corr
0.64	FDVV	Fidelity High Dividend	Pair Corr
0.66	PXH	Invesco FTSE RAFI	Pair Corr
0.81	TOLZ	ProShares DJ Brookfield	Pair Corr
0.8	REIT	ALPS Active REIT	Pair Corr
0.66	FMF	First Trust Managed	Pair Corr

Moving against Western Etf

0.7	HUM	Humana Inc	Pair Corr
0.63	ARKW	ARK Next Generation	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.41	-0.46	0.43	0.16	-0.53	-0.1	0.33	0.48	0.43	META
MSFT	-0.41		0.8	-0.53	-0.65	0.71	0.81	0.06	-0.85	-0.91	MSFT
UBER	-0.46	0.8		-0.46	-0.48	0.78	0.53	-0.09	-0.8	-0.74	UBER
F	0.43	-0.53	-0.46		0.06	-0.41	-0.23	0.3	0.68	0.6	F
T	0.16	-0.65	-0.48	0.06		-0.39	-0.75	-0.13	0.4	0.58	T
A	-0.53	0.71	0.78	-0.41	-0.39		0.48	-0.04	-0.63	-0.78	A
CRM	-0.1	0.81	0.53	-0.23	-0.75	0.48		0.44	-0.56	-0.81	CRM
JPM	0.33	0.06	-0.09	0.3	-0.13	-0.04	0.44		0.21	-0.08	JPM
MRK	0.48	-0.85	-0.8	0.68	0.4	-0.63	-0.56	0.21		0.82	MRK
XOM	0.43	-0.91	-0.74	0.6	0.58	-0.78	-0.81	-0.08	0.82		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	+ 0.82	MRK
CRM	+ 0.81	MSFT
UBER	+ 0.8	MSFT
A	+ 0.78	UBER
A	+ 0.71	MSFT
MRK	+ 0.68	F

High negative correlations

XOM	- 0.91	MSFT
MRK	- 0.85	MSFT
XOM	- 0.81	CRM
MRK	- 0.8	UBER
XOM	- 0.78	A
CRM	- 0.75	T

Western AssetClaymore Competition Risk-Adjusted Indicators

There is a big difference between Western Etf performing well and Western AssetClaymore 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 Western AssetClaymore'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	0.00	(0.02)	0.06	1.53	(1.82)	3.43	(2.82)	13.69
MSFT	1.32	(0.36)	0.00	(0.92)	0.00	0.00	1.90	(2.74)	13.28
UBER	1.50	(0.46)	0.00	(0.90)	0.00	0.00	2.41	(3.82)	11.09
F	1.22	0.07	0.05	0.14	1.20	(1.48)	3.34	(2.30)	7.16
T	1.02	0.23	0.17	3.71	0.77	(1.19)	3.87	(1.54)	5.31
A	1.27	(0.30)	0.00	(0.17)	0.00	0.00	2.90	(2.73)	7.85
CRM	1.68	(0.41)	0.00	(0.35)	0.00	0.00	2.94	(4.75)	12.37
JPM	1.26	(0.15)	0.00	(0.04)	0.00	0.00	2.34	(3.11)	7.38
MRK	1.35	0.49	0.35	0.77	0.97	(1.72)	3.59	(1.98)	8.74
XOM	1.24	0.36	0.22	1.65	1.11	(1.42)	2.68	(2.12)	6.83

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