Real Matters Correlations

RLLMF Stock

USD 4.25 0.03 0.71%

The correlation of Real Matters 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.

Real Matters Correlation With Market

Average diversification

The correlation between Real Matters and DJI is 0.19 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Real Matters and DJI in the same portfolio, assuming nothing else is changed.

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

Moving against Real Pink Sheet

0.93	RLMD	Relmada Therapeutics	Pair Corr
0.89	APGE	Apogee Therapeutics,	Pair Corr
0.86	PPERY	Bank Mandiri Persero	Pair Corr
0.86	AKAM	Akamai Technologies	Pair Corr
0.85	CHACR	Crane Harbor Acquisition	Pair Corr
0.8	SHG	Shinhan Financial	Pair Corr
0.78	PHAR	Pharming Group NV	Pair Corr
0.78	HL	Hecla Mining	Pair Corr
0.77	EGP	EastGroup Properties	Pair Corr
0.71	KB	KB Financial Group	Pair Corr
0.68	STAG	STAG Industrial	Pair Corr
0.67	IDN	Intellicheck Mobilisa	Pair Corr
0.64	BAC	Bank of America	Pair Corr
0.6	68233JBP8	US68233JBP84	Pair Corr
0.57	PBCRY	Bank Central Asia	Pair Corr
0.55	PPERF	Bank Mandiri Persero	Pair Corr
0.51	ZPTA	Zapata Computing Holdings Tech Boost	Pair Corr
0.5	CRRFY	Carrefour SA PK	Pair Corr
0.43	PBCRF	PT Bank Central	Pair Corr
0.37	PTBRY	Bank Negara Indonesia	Pair Corr
0.34	ARRXF	Archer Materials	Pair Corr
0.91	REGN	Regeneron Pharmaceuticals	Pair Corr
0.87	TEO	Telecom Argentina	Pair Corr
0.85	CX	Cemex SAB de Sell-off Trend	Pair Corr
0.82	GM	General Motors	Pair Corr
0.79	KYOCF	Kyocera	Pair Corr
0.74	AAL	American Airlines	Pair Corr
0.72	SHIP	Seanergy Maritime	Pair Corr
0.7	AA	Alcoa Corp Sell-off Trend	Pair Corr
0.68	DNLMY	Dunelm Group PLC	Pair Corr
0.64	NOEM	CO2 Energy Transition	Pair Corr

Related Correlations Analysis

	BLKLF	LCHTF	SMTEF	TCYSF	NPACF	CMDXF	PXPHF	MCAP	BRDLF	SPMYY
BLKLF		0.0	0.3	0.69	-0.33	0.72	0.0	-0.03	0.0	-0.63	BLKLF
LCHTF	0.0		0.0	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	LCHTF
SMTEF	0.3	0.0		0.36	0.03	0.57	0.0	-0.36	0.0	-0.47	SMTEF
TCYSF	0.69	0.0	0.36		-0.32	0.55	0.0	0.16	0.0	-0.41	TCYSF
NPACF	-0.33	0.0	0.03	-0.32		-0.07	0.0	-0.52	0.0	0.11	NPACF
CMDXF	0.72	0.0	0.57	0.55	-0.07		0.0	-0.39	0.0	-0.76	CMDXF
PXPHF	0.0	-1.0	0.0	0.0	0.0	0.0		0.0	0.0	0.0	PXPHF
MCAP	-0.03	0.0	-0.36	0.16	-0.52	-0.39	0.0		0.0	0.28	MCAP
BRDLF	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0		0.0	BRDLF
SPMYY	-0.63	0.0	-0.47	-0.41	0.11	-0.76	0.0	0.28	0.0		SPMYY
	BLKLF	LCHTF	SMTEF	TCYSF	NPACF	CMDXF	PXPHF	MCAP	BRDLF	SPMYY

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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

CMDXF	+ 0.72	BLKLF
TCYSF	+ 0.69	BLKLF
CMDXF	+ 0.57	SMTEF
CMDXF	+ 0.55	TCYSF
TCYSF	+ 0.36	SMTEF
SMTEF	+ 0.3	BLKLF

High negative correlations

PXPHF	- 1.0	LCHTF
SPMYY	- 0.76	CMDXF
SPMYY	- 0.63	BLKLF
MCAP	- 0.52	NPACF
SPMYY	- 0.47	SMTEF
SPMYY	- 0.41	TCYSF

Risk-Adjusted Indicators

There is a big difference between Real Pink Sheet performing well and Real Matters Company 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 Real Matters' 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	Treynor Ratio	Potential Upside	Value @Risk	Maximum Drawdown
BLKLF	0.91	(0.13)	0.85	2.64	(4.23)	8.03
LCHTF	0.00	0.00	0.00	0.00	0.00	0.00
SMTEF	0.27	(0.02)	0.24	0.00	0.00	7.82
TCYSF	0.51	(0.13)	(0.51)	0.76	(1.30)	11.86
NPACF	0.14	0.06	1.03	0.00	0.00	0.00
CMDXF	1.48	(0.36)	(0.40)	3.01	(3.20)	8.69
PXPHF	0.00	0.00	0.00	0.00	0.00	0.00
MCAP	1.99	(0.58)	10.83	0.00	0.00	71.60
BRDLF	0.00	0.00	0.00	0.00	0.00	0.00
SPMYY	0.69	0.08	(0.44)	1.62	0.00	13.92

Be your own money manager

Our tools can tell you how much better you can do entering a position in Real Matters 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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