Search Minerals Correlations

SHCMF Stock

USD 0.30 0.03 11.11%

The current 90-days correlation between Search Minerals and Vulcan Minerals is 0.06 (i.e., Significant diversification). The correlation of Search Minerals 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.

Search Minerals Correlation With Market

Excellent diversification

The correlation between Search Minerals and DJI is -0.66 (i.e., Excellent diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Search Minerals and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with Search Pink Sheet

0.63

PCTTW

PureCycle Technologies

Pair Corr

Moving against Search Pink Sheet

0.6	TORO	Toro	Pair Corr
0.59	ATCOL	Atlas Corp	Pair Corr
0.57	FRFFF	Fairfax Financial	Pair Corr
0.56	MZHOF	Mizuho Financial Normal Trading	Pair Corr
0.55	JPSTF	JAPAN POST BANK	Pair Corr
0.52	EXAS	EXACT Sciences	Pair Corr
0.45	MBFJF	Mitsubishi UFJ Financial Downward Rally	Pair Corr
0.43	CGECF	Cogeco Inc	Pair Corr
0.43	TATT	Tat Techno	Pair Corr
0.42	GRBK	Green Brick Partners	Pair Corr
0.42	CYD	China Yuchai Interna	Pair Corr
0.39	PPERY	Bank Mandiri Persero	Pair Corr
0.38	BLAGF	Blue Lagoon Resources	Pair Corr
0.35	JLHL	Julong Holding	Pair Corr
0.31	UMAC	Unusual Machines	Pair Corr
0.31	LAND	Gladstone Land	Pair Corr
0.66	GS	Goldman Sachs Group	Pair Corr
0.66	BFS	Saul Centers	Pair Corr
0.65	MEEEF	Metal Energy Corp	Pair Corr
0.63	FRSB	First Resource Bank	Pair Corr
0.62	USPH	US Physicalrapy	Pair Corr
0.55	BNEFF	Bonterra Energy Corp	Pair Corr
0.55	TSM	Taiwan Semiconductor Aggressive Push	Pair Corr
0.54	DUK-PA	Duke Energy	Pair Corr

Related Correlations Analysis

	VULMF	GPMTF	FNCJF	MSMGF	TRRXF	CDBDF	JORFF	TNREF	SCCFF	KWGBF
VULMF		-0.7	0.38	0.2	0.66	-0.5	0.68	0.22	0.82	-0.26	VULMF
GPMTF	-0.7		-0.76	-0.19	-0.79	0.8	-0.69	-0.13	-0.66	0.06	GPMTF
FNCJF	0.38	-0.76		0.24	0.67	-0.61	0.3	0.21	0.3	0.28	FNCJF
MSMGF	0.2	-0.19	0.24		0.21	-0.14	-0.1	-0.06	0.19	0.15	MSMGF
TRRXF	0.66	-0.79	0.67	0.21		-0.74	0.51	0.1	0.6	-0.13	TRRXF
CDBDF	-0.5	0.8	-0.61	-0.14	-0.74		-0.54	-0.05	-0.51	0.09	CDBDF
JORFF	0.68	-0.69	0.3	-0.1	0.51	-0.54		0.15	0.51	-0.36	JORFF
TNREF	0.22	-0.13	0.21	-0.06	0.1	-0.05	0.15		0.19	0.19	TNREF
SCCFF	0.82	-0.66	0.3	0.19	0.6	-0.51	0.51	0.19		-0.23	SCCFF
KWGBF	-0.26	0.06	0.28	0.15	-0.13	0.09	-0.36	0.19	-0.23		KWGBF
	VULMF	GPMTF	FNCJF	MSMGF	TRRXF	CDBDF	JORFF	TNREF	SCCFF	KWGBF

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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

SCCFF	+ 0.82	VULMF
CDBDF	+ 0.8	GPMTF
JORFF	+ 0.68	VULMF
TRRXF	+ 0.67	FNCJF
TRRXF	+ 0.66	VULMF
SCCFF	+ 0.6	TRRXF

High negative correlations

TRRXF	- 0.79	GPMTF
FNCJF	- 0.76	GPMTF
CDBDF	- 0.74	TRRXF
GPMTF	- 0.7	VULMF
JORFF	- 0.69	GPMTF
SCCFF	- 0.66	GPMTF

Risk-Adjusted Indicators

There is a big difference between Search Pink Sheet performing well and Search Minerals 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 Search Minerals' 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
VULMF	7.81	2.82	0.19	(0.57)	5.37	(26.00)	21.43	(11.76)	167.86
GPMTF	2.48	(0.86)	0.00	4.73	0.00	0.00	0.00	(11.37)	46.56
FNCJF	5.71	0.70	0.07	0.35	6.12	(11.94)	16.67	(14.29)	43.18
MSMGF	5.48	0.63	0.07	(0.77)	5.05	(10.11)	12.36	(9.09)	40.57
TRRXF	7.34	1.82	0.11	(0.86)	6.86	(20.35)	26.32	(16.67)	85.71
CDBDF	0.69	(0.31)	0.00	1.49	0.00	0.00	0.00	0.00	17.86
JORFF	4.19	1.43	0.20	(3.38)	3.55	(7.30)	12.65	(6.90)	34.76
TNREF	17.02	3.98	0.13	0.73	15.26	(55.41)	80.00	(45.19)	142.95
SCCFF	1.10	0.35	0.00	(4.61)	0.00	0.00	0.00	0.00	30.30
KWGBF	8.28	0.81	0.04	(1.17)	9.43	(20.29)	28.00	(21.87)	87.14

Be your own money manager

Our tools can tell you how much better you can do entering a position in Search Minerals 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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Search Minerals Corporate Management

Todd BSc	Chief Officer	Profile
Gregory Andrews	CEO Pres	Profile
Randy PGeo	VicePres Exploration	Profile
FCAE FCIM	VP Director	Profile

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