Super League Correlations

SLE Stock

0.56 0.04 7.69%

The current 90-days correlation between Super League Enterprise and Asset Entities Class is 0.03 (i.e., Significant diversification). The correlation of Super League 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.

Super League Correlation With Market

Average diversification

The correlation between Super League Enterprise and DJI is 0.1 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Super League Enterprise and DJI in the same portfolio, assuming nothing else is changed.

Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Super League Enterprise. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis.

Moving against Super Stock

0.66	Z	Zillow Group Class	Pair Corr
0.54	YY	YY Inc Class	Pair Corr
0.54	GENI	Genius Sports	Pair Corr
0.52	LCFY	Locafy	Pair Corr
0.34	IZEA	IZEA Inc	Pair Corr
0.56	BZFDW	BuzzFeed	Pair Corr
0.55	PODC	Courtside Group, Common	Pair Corr
0.43	PGRU	PropertyGuru Group	Pair Corr
0.32	ONFO	Onfolio Holdings	Pair Corr
0.31	OPRA	Opera	Pair Corr

Related Correlations Analysis

	MAX	ASST	SSTK	MTCH	SNAP	ONFO	ANGI	JFIN
MAX		0.44	0.11	0.85	-0.38	-0.39	0.64	0.08	MAX
ASST	0.44		0.58	0.42	-0.81	-0.75	0.6	-0.57	ASST
SSTK	0.11	0.58		0.24	-0.28	-0.45	0.62	-0.56	SSTK
MTCH	0.85	0.42	0.24		-0.27	-0.41	0.72	0.15	MTCH
SNAP	-0.38	-0.81	-0.28	-0.27		0.67	-0.36	0.52	SNAP
ONFO	-0.39	-0.75	-0.45	-0.41	0.67		-0.63	0.33	ONFO
ANGI	0.64	0.6	0.62	0.72	-0.36	-0.63		-0.2	ANGI
JFIN	0.08	-0.57	-0.56	0.15	0.52	0.33	-0.2		JFIN
	MAX	ASST	SSTK	MTCH	SNAP	ONFO	ANGI	JFIN

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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

MTCH	+ 0.85	MAX
ANGI	+ 0.72	MTCH
ONFO	+ 0.67	SNAP
ANGI	+ 0.64	MAX
ANGI	+ 0.62	SSTK
ANGI	+ 0.6	ASST

High negative correlations

SNAP	- 0.81	ASST
ONFO	- 0.75	ASST
ANGI	- 0.63	ONFO
JFIN	- 0.57	ASST
JFIN	- 0.56	SSTK
ONFO	- 0.45	SSTK

Risk-Adjusted Indicators

There is a big difference between Super Stock performing well and Super League 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 Super League'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
MAX	2.68	(0.48)	0.00	(0.34)	0.00	0.00	4.70	(5.09)	35.30
ASST	6.21	(1.99)	0.00	1.22	0.00	0.00	7.58	(11.56)	61.21
SSTK	1.95	(0.26)	0.00	(0.05)	0.00	0.00	3.70	(4.28)	16.36
MTCH	1.41	(0.26)	0.00	(0.16)	0.00	0.00	3.20	(2.33)	21.07
SNAP	2.23	0.31	0.11	0.50	2.21	(2.50)	4.41	(3.65)	21.74
ONFO	5.17	0.77	0.11	7.16	5.56	(6.13)	9.71	(11.11)	39.43
ANGI	2.55	(0.62)	0.00	(0.30)	0.00	0.00	4.38	(4.04)	33.00
JFIN	2.55	0.39	0.05	(1.15)	3.92	(2.69)	6.28	(6.16)	23.37

Super League Corporate Management

Andy Babb	Chief Officer	Profile
Stephen Dao	Executive Engineering	Profile
Clayton Haynes	Chief Officer	Profile
David JD	Corporate Officer	Profile
Clayton CPA	Chief Officer	Profile

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