Clean Seas Correlations

CTUNF Stock

USD 0.05 0.00 0.00%

The current 90-days correlation between Clean Seas Seafood and Radcom is 0.05 (i.e., Significant diversification). The correlation of Clean Seas 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.

Clean Seas Correlation With Market

Weak diversification

The correlation between Clean Seas Seafood and DJI is 0.33 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Clean Seas Seafood and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with Clean Pink Sheet

0.67	BG	Bunge Limited	Pair Corr
0.72	HNHPF	Hon Hai Precision	Pair Corr
0.62	PAVMZ	PAVmed Series Z	Pair Corr

Moving against Clean Pink Sheet

0.56	VLKPF	Volkswagen AG VZO Downward Rally	Pair Corr
0.5	VWAPY	Volkswagen AG Pref	Pair Corr
0.49	VWAGY	Volkswagen AG 110	Pair Corr
0.47	VLKAF	Volkswagen AG	Pair Corr
0.45	KLKBF	Kuala Lumpur Kepong	Pair Corr
0.63	NLY-PI	Annaly Capital Management	Pair Corr
0.57	NDEKY	Nitto Denko Corp	Pair Corr
0.56	AGL	agilon health	Pair Corr
0.49	TM	Toyota Motor	Pair Corr
0.48	UBER	Uber Technologies	Pair Corr
0.44	KGC	Kinross Gold Aggressive Push	Pair Corr
0.43	DX	Dynex Capital	Pair Corr
0.43	BCS	Barclays PLC ADR	Pair Corr
0.42	WBA	Walgreens Boots Alliance Sell-off Trend	Pair Corr
0.36	IBIO	iBio, Common Stock	Pair Corr
0.33	PPCCY	PICC Property Normal Trading	Pair Corr
0.68	AR	Antero Resources Corp	Pair Corr
0.61	ARZGF	Assicurazioni Generali	Pair Corr
0.58	LQDT	Liquidity Services	Pair Corr
0.55	ATGE	Adtalem Global Education	Pair Corr
0.43	AEXFF	Aminex PLC	Pair Corr
0.4	OKTA	Okta Inc	Pair Corr
0.36	RNECF	Renesas Electronics	Pair Corr
0.36	BABAF	Alibaba Group Holding	Pair Corr

Related Correlations Analysis

	IAS	RDCM	NCMI	ARW	CARS	VC	ADNT	GMOYF
IAS		0.18	0.73	0.37	0.55	0.25	0.55	-0.34	IAS
RDCM	0.18		0.29	-0.01	0.36	-0.52	0.14	-0.4	RDCM
NCMI	0.73	0.29		0.55	0.72	0.33	0.74	-0.42	NCMI
ARW	0.37	-0.01	0.55		0.79	0.59	0.83	-0.6	ARW
CARS	0.55	0.36	0.72	0.79		0.24	0.89	-0.82	CARS
VC	0.25	-0.52	0.33	0.59	0.24		0.56	0.0	VC
ADNT	0.55	0.14	0.74	0.83	0.89	0.56		-0.64	ADNT
GMOYF	-0.34	-0.4	-0.42	-0.6	-0.82	0.0	-0.64		GMOYF
	IAS	RDCM	NCMI	ARW	CARS	VC	ADNT	GMOYF

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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

ADNT	+ 0.89	CARS
ADNT	+ 0.83	ARW
CARS	+ 0.79	ARW
ADNT	+ 0.74	NCMI
NCMI	+ 0.73	IAS
CARS	+ 0.72	NCMI

High negative correlations

GMOYF	- 0.82	CARS
GMOYF	- 0.64	ADNT
GMOYF	- 0.6	ARW
VC	- 0.52	RDCM
GMOYF	- 0.42	NCMI
GMOYF	- 0.4	RDCM

Risk-Adjusted Indicators

There is a big difference between Clean Pink Sheet performing well and Clean Seas 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 Clean Seas' 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
IAS	1.48	(0.12)	(0.26)	1.95	(3.51)	12.52
RDCM	2.81	(0.01)	0.40	4.79	(5.66)	21.58
NCMI	2.00	(0.23)	(0.65)	3.30	(3.53)	26.42
ARW	1.11	(0.14)	(0.35)	1.76	(2.53)	6.90
CARS	2.33	(0.50)	(0.41)	4.51	(4.19)	25.98
VC	1.39	(0.08)	(0.23)	2.05	(3.09)	7.99
ADNT	2.09	(0.37)	(0.46)	3.70	(4.95)	10.62
GMOYF	0.80	0.22	(0.63)	2.76	0.00	9.24

Be your own money manager

Our tools can tell you how much better you can do entering a position in Clean Seas 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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Clean Seas Corporate Management

David Brown	Joint Company Secretary	Profile
Robert Gratton	Joint Company Secretary	Profile
Chester Wilkes	Marine Production Manager	Profile
Eryl Baron	Joint Sec	Profile
Tim Dohrmann	Investor Relations	Profile

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