Science In Correlations

SIS Stock

27.00 0.50 1.89%

The current 90-days correlation between Science in Sport and Centaur Media is 0.08 (i.e., Significant diversification). The correlation of Science In 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.

Science In Correlation With Market

Significant diversification

The correlation between Science in Sport and DJI is 0.04 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Science in Sport and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with Science Stock

0.67	KAP	National Atomic	Pair Corr
0.65	FLTR	Flutter Entertainment PLC	Pair Corr
0.67	GAW	Games Workshop Group	Pair Corr
0.68	DEC	Diversified Energy	Pair Corr

Moving against Science Stock

0.81	ASL	Aberforth Smaller	Pair Corr
0.74	AZN	AstraZeneca PLC	Pair Corr

Related Correlations Analysis

	BOWL	CTL	0QUS	CAU	VINO	0LCX	LBG	0R8S
BOWL		-0.21	0.19	-0.39	-0.18	0.28	-0.3	-0.27	BOWL
CTL	-0.21		-0.43	0.92	0.93	-0.66	0.38	0.78	CTL
0QUS	0.19	-0.43		-0.37	-0.55	0.8	-0.38	-0.8	0QUS
CAU	-0.39	0.92	-0.37		0.85	-0.6	0.37	0.68	CAU
VINO	-0.18	0.93	-0.55	0.85		-0.71	0.32	0.83	VINO
0LCX	0.28	-0.66	0.8	-0.6	-0.71		-0.53	-0.92	0LCX
LBG	-0.3	0.38	-0.38	0.37	0.32	-0.53		0.5	LBG
0R8S	-0.27	0.78	-0.8	0.68	0.83	-0.92	0.5		0R8S
	BOWL	CTL	0QUS	CAU	VINO	0LCX	LBG	0R8S

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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

VINO	+ 0.93	CTL
CAU	+ 0.92	CTL
VINO	+ 0.85	CAU
0R8S	+ 0.83	VINO
0LCX	+ 0.8	0QUS
0R8S	+ 0.78	CTL

High negative correlations

0R8S	- 0.92	0LCX
0R8S	- 0.8	0QUS
0LCX	- 0.71	VINO
0LCX	- 0.66	CTL
0LCX	- 0.6	CAU
VINO	- 0.55	0QUS

Risk-Adjusted Indicators

There is a big difference between Science Stock performing well and Science In 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 Science In's 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
BOWL	1.00	(0.12)	0.00	(0.10)	0.00	0.00	2.13	(1.61)	5.39
CTL	3.02	(0.77)	0.00	(0.42)	0.00	0.00	8.33	(6.49)	29.23
0QUS	1.49	0.03	0.01	0.15	1.48	(2.10)	3.38	(2.78)	11.94
CAU	1.13	(0.33)	0.00	1.39	0.00	0.00	2.08	(3.22)	22.96
VINO	0.67	(0.32)	0.00	(3.05)	0.00	0.00	0.00	(2.33)	7.79
0LCX	1.00	0.20	0.09	0.56	1.22	(1.10)	2.13	(1.99)	8.93
LBG	1.65	(0.01)	(0.03)	0.09	2.06	(2.00)	3.73	(3.70)	11.46
0R8S	0.82	(0.17)	0.00	(1.20)	0.00	0.00	1.37	(1.55)	7.55

Be your own money manager

Our tools can tell you how much better you can do entering a position in Science In 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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Science In Corporate Management

Elected by the shareholders, the Science In's board of directors comprises two types of representatives: Science In inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Science. The board's role is to monitor Science In's management team and ensure that shareholders' interests are well served. Science In's inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, Science In's outside directors are responsible for providing unbiased perspectives on the board's policies.

Bernadette UdeWetherell	Chief Officer	Profile
Megan Blaylock	Chief Officer	Profile
Muna Khan	Chief Officer	Profile
Andy Bott	Chief Officer	Profile

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