Market Access Correlations

M9SD Etf

EUR 274.95 1.35 0.49%

The current 90-days correlation between Market Access and UBS ETF Public is 0.92 (i.e., Almost no diversification). The correlation of Market Access 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.

Market Access Correlation With Market

Very poor diversification

The correlation between Market Access and DJI is 0.83 (i.e., Very poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Market Access and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with Market Etf

1.0	IS0E	iShares Gold Producers	Pair Corr
1.0	CD91	Lyxor NYSE Arca	Pair Corr
0.99	G2X	VanEck Gold Miners	Pair Corr
0.96	ETLX	LG Gold Mining	Pair Corr
0.99	G2XJ	VanEck Junior Gold	Pair Corr
0.99	UBUD	UBS ETF Public	Pair Corr
0.92	GQ9	SPDR Gold Shares	Pair Corr
0.72	IS3N	iShares Core MSCI	Pair Corr
0.71	IBC3	iShares Core MSCI	Pair Corr
0.63	VGWL	Vanguard FTSE All	Pair Corr
0.68	VWCE	Vanguard FTSE All	Pair Corr
0.84	EMNE	iShares MSCI EMU	Pair Corr
0.88	ETL2	Legal General UCITS	Pair Corr
0.78	ILT	Illinois Tool Works	Pair Corr
0.86	SPY4	SSgA SPDR SP	Pair Corr
0.89	ETSZ	Easy ETF	Pair Corr
0.74	IS3N	iShares Core MSCI	Pair Corr
0.85	DBXE	Xtrackers Euro	Pair Corr
0.73	IQQE	iShares MSCI EM	Pair Corr
0.87	5HEE	Ossiam ESG Low	Pair Corr
0.89	S7XE	Invesco EURO STOXX	Pair Corr
0.95	D6AT	Global X Disruptive	Pair Corr
0.81	IQQ5	iShares MSCI Turkey	Pair Corr
0.7	JRWA	JPM All Country	Pair Corr
0.84	VALU	BNP Paribas Easy	Pair Corr
0.76	4MMR	Global X Defence	Pair Corr
0.65	E908	Lyxor 1 TecDAX	Pair Corr

Moving against Market Etf

0.93	XJSE	Xtrackers II	Pair Corr
0.75	DBPD	Xtrackers ShortDAX	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.41	-0.43	0.44	-0.01	-0.57	0.03	0.31	0.43	0.45	META
MSFT	-0.41		0.72	-0.56	-0.09	0.49	0.62	0.04	-0.8	-0.83	MSFT
UBER	-0.43	0.72		-0.49	0.12	0.59	0.23	-0.16	-0.8	-0.59	UBER
F	0.44	-0.56	-0.49		-0.39	-0.33	-0.1	0.38	0.71	0.65	F
T	-0.01	-0.09	0.12	-0.39		0.27	-0.38	-0.15	-0.12	-0.09	T
A	-0.57	0.49	0.59	-0.33	0.27		0.12	-0.06	-0.41	-0.62	A
CRM	0.03	0.62	0.23	-0.1	-0.38	0.12		0.59	-0.29	-0.64	CRM
JPM	0.31	0.04	-0.16	0.38	-0.15	-0.06	0.59		0.25	-0.11	JPM
MRK	0.43	-0.8	-0.8	0.71	-0.12	-0.41	-0.29	0.25		0.72	MRK
XOM	0.45	-0.83	-0.59	0.65	-0.09	-0.62	-0.64	-0.11	0.72		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

UBER	+ 0.72	MSFT
XOM	+ 0.72	MRK
MRK	+ 0.71	F
XOM	+ 0.65	F
CRM	+ 0.62	MSFT
A	+ 0.59	UBER

High negative correlations

XOM	- 0.83	MSFT
MRK	- 0.8	UBER
MRK	- 0.8	MSFT
XOM	- 0.64	CRM
XOM	- 0.62	A
XOM	- 0.59	UBER

Market Access Competition Risk-Adjusted Indicators

There is a big difference between Market Etf performing well and Market Access 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 Market Access' 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	1.55	(0.03)	(0.02)	0.02	1.62	(1.79)	3.43	(2.72)	13.36
MSFT	1.23	(0.36)	0.00	(1.95)	0.00	0.00	1.78	(2.70)	13.28
UBER	1.57	(0.43)	0.00	(0.52)	0.00	0.00	2.46	(5.06)	10.23
F	1.22	0.04	0.04	0.10	1.20	(1.45)	3.38	(2.35)	7.16
T	0.95	0.11	0.06	0.72	0.94	(1.05)	2.02	(1.76)	4.31
A	1.22	(0.18)	0.00	(0.08)	0.00	0.00	2.90	(2.58)	7.85
CRM	1.64	(0.42)	0.00	(0.32)	0.00	0.00	2.94	(5.31)	12.37
JPM	1.12	(0.03)	0.00	0.03	1.63	(1.14)	2.18	(3.11)	7.38
MRK	1.32	0.46	0.31	0.65	1.07	(1.63)	3.59	(1.98)	8.09
XOM	1.15	0.00	0.27	0.00	0.92	(1.37)	2.69	(2.11)	5.85

Be your own money manager

Our tools can tell you how much better you can do entering a position in Market Access without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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