SPDR Barclays Correlations

SPP3 Etf

25.44 0.08 0.31%

The current 90-days correlation between SPDR Barclays 3 and SPDR Barclays 10 is 0.65 (i.e., Poor diversification). The correlation of SPDR Barclays 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.

SPDR Barclays Correlation With Market

Good diversification

The correlation between SPDR Barclays 3 5 and DJI is -0.01 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding SPDR Barclays 3 5 and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to SPDR Barclays could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SPDR Barclays when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back SPDR Barclays - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling SPDR Barclays 3 5 to buy it.

Moving together with SPDR Etf

0.82	XJSE	Xtrackers II	Pair Corr
0.68	XDJP	Xtrackers Nikkei 225	Pair Corr
0.68	SXRZ	iShares VII PLC	Pair Corr
0.75	VUSA	Vanguard Funds Public	Pair Corr
0.68	EXX7	iShares Nikkei 225	Pair Corr
0.69	SXR8	iShares Core SP	Pair Corr

Moving against SPDR Etf

0.37	LIRU	Lyxor Index Fund	Pair Corr
0.36	LIGS	Lyxor Index Fund	Pair Corr
0.34	VDTE	Vanguard Funds Public	Pair Corr
0.33	DXSK	Xtrackers Stoxx	Pair Corr
0.43	C051	Amundi Euro Stoxx	Pair Corr
0.39	EXV7	iShares STOXX Europe	Pair Corr
0.31	ELF1	Deka MDAX UCITS	Pair Corr
0.31	LBNK	Lyxor Index Fund	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.2	0.68	-0.48	0.47	0.32	0.11	0.89	-0.78	0.18	META
MSFT	-0.2		-0.65	0.38	-0.76	0.64	0.88	-0.04	0.52	-0.25	MSFT
UBER	0.68	-0.65		-0.49	0.8	-0.23	-0.56	0.6	-0.86	0.45	UBER
F	-0.48	0.38	-0.49		-0.24	0.18	0.23	-0.38	0.64	0.24	F
T	0.47	-0.76	0.8	-0.24		-0.53	-0.67	0.28	-0.69	0.44	T
A	0.32	0.64	-0.23	0.18	-0.53		0.74	0.56	0.14	-0.04	A
CRM	0.11	0.88	-0.56	0.23	-0.67	0.74		0.2	0.33	-0.3	CRM
JPM	0.89	-0.04	0.6	-0.38	0.28	0.56	0.2		-0.66	0.19	JPM
MRK	-0.78	0.52	-0.86	0.64	-0.69	0.14	0.33	-0.66		-0.27	MRK
XOM	0.18	-0.25	0.45	0.24	0.44	-0.04	-0.3	0.19	-0.27		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

Click cells to compare fundamentals

Check Volatility

Backtest Portfolio

Please upgrade your account to get full access to Macroaxis premium features

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	+ 0.89	META
CRM	+ 0.88	MSFT
T	+ 0.8	UBER
CRM	+ 0.74	A
UBER	+ 0.68	META
A	+ 0.64	MSFT

High negative correlations

MRK	- 0.86	UBER
MRK	- 0.78	META
T	- 0.76	MSFT
MRK	- 0.69	T
CRM	- 0.67	T
MRK	- 0.66	JPM

SPDR Barclays Competition Risk-Adjusted Indicators

There is a big difference between SPDR Etf performing well and SPDR Barclays 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 SPDR Barclays' 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	1.57	0.08	0.00	(0.01)	0.00	0.00	2.57	(3.59)	8.90
MSFT	1.10	(0.14)	0.00	(0.31)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.93	0.23	0.10	0.33	2.40	(2.00)	4.72	(3.30)	12.75
F	1.44	0.06	0.00	(0.04)	0.00	0.00	2.71	(2.89)	10.14
T	1.04	0.28	0.18	0.42	1.60	(1.11)	1.90	(1.75)	11.66
A	1.14	(0.15)	0.00	(0.25)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.42	(0.23)	0.00	(0.30)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.09	0.05	0.00	(0.05)	0.00	0.00	1.99	(3.35)	6.85
MRK	1.21	(0.11)	0.00	2.40	0.00	0.00	2.07	(2.25)	11.58
XOM	1.05	0.06	0.08	0.06	1.38	(1.09)	2.55	(2.36)	5.89

SPDR Barclays 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 SPDR Barclays etf to make a market-neutral strategy. Peer analysis of SPDR Barclays could also be used in its relative valuation, which is a method of valuing SPDR Barclays by comparing valuation metrics with similar companies.

SPDR Barclays 10 SPDR ICE BofA SPDR SP Utilities SPDR ICE BofA SPDR Barclays 3 5 SPDR SP Technology SPDR SP Materials SPDR Barclays EM SPDR Bloomberg Barclays American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup SentinelOne

Risk & Return

Correlation

Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions

Feedback Blog

Made with optimal in San Francisco

2024 Macroaxis LLC