Market Access Correlations

M9SA Etf

EUR 29.11 0.11 0.38%

The current 90-days correlation between Market Access and Intel is 0.11 (i.e., Average 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 weak diversification

The correlation between Market Access and DJI is 0.55 (i.e., Very weak 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

0.9	EXXY	iShares Diversified	Pair Corr
0.89	C099	Lyxor Bloomberg Equal	Pair Corr
0.81	VZLC	WisdomTree Physical	Pair Corr
0.71	ETLX	LG Gold Mining	Pair Corr
0.74	UBUD	UBS ETF Public	Pair Corr
0.74	G2XJ	VanEck Junior Gold	Pair Corr
0.72	ETLX	LG Gold Mining	Pair Corr
0.62	SPY4	SSgA SPDR SP	Pair Corr
0.78	IRFT	First Trust RBA	Pair Corr
0.63	3SUE	iShares MSCI World	Pair Corr
0.77	ZPDM	SPDR SP Materials	Pair Corr
0.79	JGNE	JPM Green Social	Pair Corr
0.75	ETSZ	Easy ETF	Pair Corr
0.74	AHYE	Amundi Index Solutions	Pair Corr
0.68	V60A	Vanguard LifeStrategy	Pair Corr

Moving against Market Etf

0.58	DBPD	Xtrackers ShortDAX	Pair Corr
0.4	SLNC	CoinShares FTX Physical	Pair Corr
0.4	VS0L	VanEck Solana ETN	Pair Corr
0.35	21BC	21Shares Bitcoin Core	Pair Corr
0.34	VS0L	VanEck Vectors Solana	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.41	-0.42	0.44	0.17	-0.59	0.03	0.31	0.43	0.45	META
MSFT	-0.41		0.75	-0.56	-0.27	0.52	0.62	0.04	-0.8	-0.83	MSFT
UBER	-0.42	0.75		-0.51	-0.08	0.63	0.26	-0.1	-0.77	-0.61	UBER
F	0.44	-0.56	-0.51		-0.18	-0.43	-0.1	0.38	0.71	0.65	F
T	0.17	-0.27	-0.08	-0.18		0.04	-0.58	-0.22	-0.01	0.2	T
A	-0.59	0.52	0.63	-0.43	0.04		0.14	-0.07	-0.47	-0.65	A
CRM	0.03	0.62	0.26	-0.1	-0.58	0.14		0.59	-0.29	-0.64	CRM
JPM	0.31	0.04	-0.1	0.38	-0.22	-0.07	0.59		0.25	-0.11	JPM
MRK	0.43	-0.8	-0.77	0.71	-0.01	-0.47	-0.29	0.25		0.72	MRK
XOM	0.45	-0.83	-0.61	0.65	0.2	-0.65	-0.64	-0.11	0.72		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

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

UBER	+ 0.75	MSFT
XOM	+ 0.72	MRK
MRK	+ 0.71	F
XOM	+ 0.65	F
A	+ 0.63	UBER
CRM	+ 0.62	MSFT

High negative correlations

XOM	- 0.83	MSFT
MRK	- 0.8	MSFT
MRK	- 0.77	UBER
XOM	- 0.65	A
XOM	- 0.64	CRM
XOM	- 0.61	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	0.02	(0.01)	(0.47)	1.62	(1.79)	3.43	(2.72)	13.36
MSFT	1.23	(0.34)	0.00	1.81	0.00	0.00	1.78	(2.70)	13.28
UBER	1.60	(0.39)	0.00	(0.56)	0.00	0.00	2.46	(5.06)	11.09
F	1.22	0.10	0.05	0.85	1.20	(1.45)	3.38	(2.35)	7.16
T	0.94	0.16	0.13	0.84	0.84	(1.06)	2.02	(1.54)	4.31
A	1.22	(0.23)	0.00	(0.13)	0.00	0.00	2.90	(2.58)	7.85
CRM	1.64	(0.36)	0.00	3.41	0.00	0.00	2.94	(5.31)	12.37
JPM	1.12	0.05	0.01	(0.31)	1.63	(1.14)	2.18	(3.11)	7.38
MRK	1.32	0.48	0.32	0.86	1.07	(1.63)	3.59	(1.98)	8.09
XOM	1.15	0.38	0.28	0.71	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.

Did you try this?

Run Money Flow Index Now

Money Flow Index

Determine momentum by analyzing Money Flow Index and other technical indicators

All Next

Launch Module

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

2026 Macroaxis LLC