Deka Deutsche Correlations

EL4W Etf

70.19 0.02 0.03%

The current 90-days correlation between Deka Deutsche Brse and UBS Fund Solutions is 0.08 (i.e., Significant diversification). The correlation of Deka Deutsche 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.

Deka Deutsche Correlation With Market

Significant diversification

The correlation between Deka Deutsche Brse and DJI is 0.04 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Deka Deutsche Brse and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to Deka Deutsche could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Deka Deutsche 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 Deka Deutsche - 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 Deka Deutsche Brse to buy it.

Moving together with Deka Etf

0.89	GQ9	SPDR Gold Shares	Pair Corr
0.95	VUSA	Vanguard Funds Public	Pair Corr
0.95	SXR8	iShares Core SP	Pair Corr
0.69	E908	Lyxor 1	Pair Corr

Moving against Deka Etf

0.65	DBPD	Xtrackers ShortDAX	Pair Corr
0.51	XJSE	Xtrackers II	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.42	-0.28	-0.21	0.51	0.28	0.65	0.43	-0.4	0.02	META
MSFT	0.42		-0.49	-0.08	0.36	0.16	0.29	0.17	0.1	-0.72	MSFT
UBER	-0.28	-0.49		0.09	-0.7	0.11	-0.59	-0.46	0.4	0.47	UBER
F	-0.21	-0.08	0.09		0.18	-0.47	0.26	0.51	-0.32	0.33	F
T	0.51	0.36	-0.7	0.18		-0.29	0.88	0.85	-0.72	-0.17	T
A	0.28	0.16	0.11	-0.47	-0.29		-0.26	-0.46	0.57	-0.08	A
CRM	0.65	0.29	-0.59	0.26	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	-0.32	-0.72	0.57	-0.83	-0.87		-0.25	MRK
XOM	0.02	-0.72	0.47	0.33	-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

Deka Deutsche Competition Risk-Adjusted Indicators

There is a big difference between Deka Etf performing well and Deka Deutsche 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 Deka Deutsche'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	1.36	(0.13)	(0.04)	0.00	2.10	(1.41)	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

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

UBS Fund Solutions Xtrackers II Xtrackers Nikkei 225 iShares VII PLC SPDR Gold Shares Vanguard Funds Public iShares Nikkei 225 iShares Core SP iShares Core MSCI iShares Core MSCI American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup

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