Mobile Infrastructure Correlations

BEEP Stock

2.55 0.01 0.39%

The current 90-days correlation between Mobile Infrastructure and Comstock Holding Companies is 0.14 (i.e., Average diversification). The correlation of Mobile Infrastructure 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. If the correlation is 0, the equities are not correlated; they are entirely random.

Mobile Infrastructure Correlation With Market

Weak diversification

The correlation between Mobile Infrastructure and DJI is 0.3 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Mobile Infrastructure and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Mobile Stock

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Mobile Infrastructure. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in american community survey.

To learn how to invest in Mobile Stock, please use our How to Invest in Mobile Infrastructure guide.

Moving together with Mobile Stock

0.69	600377	Jiangsu Expressway	Pair Corr
0.77	BMS	Braemar Plc	Pair Corr
0.75	600794	Zhangjiagang Freetrade	Pair Corr
0.73	600017	Rizhao Port	Pair Corr
0.71	MPL	Mercantile Ports Log	Pair Corr
0.75	CHR	Chorus Aviation	Pair Corr
0.76	600368	Guangxi Wuzhou Commu	Pair Corr
0.61	000507	Zhuhai Port	Pair Corr
0.76	600548	Shenzhen Expressway	Pair Corr
0.74	600717	Tianjin Port	Pair Corr

Moving against Mobile Stock

0.83	600033	Fujian Expressway	Pair Corr
0.72	VNT	Ventia Services Group	Pair Corr
0.63	PAC	Grupo Aeroportuario del	Pair Corr
0.55	000582	Beibuwan Port	Pair Corr
0.53	600897	Xiamen International	Pair Corr
0.44	ASR	Grupo Aeroportuario del	Pair Corr
0.43	000429	Guangdong Provincial	Pair Corr
0.33	600009	Shanghai International	Pair Corr
0.76	CAAP	Corporacion America	Pair Corr
0.73	OMAB	Grupo Aeroportuario del	Pair Corr
0.64	000905	Xiamen Port Development	Pair Corr
0.63	QUB	QUBE Holdings	Pair Corr
0.6	ICGC	Irish Continental	Pair Corr
0.55	200429	Guangdong Provincial	Pair Corr
0.46	601107	Sichuan Expressway	Pair Corr
0.34	002023	Sichuan Haite High	Pair Corr

Related Correlations Analysis

	CHCI	ONL	AEI	FSP	AXR	SUNS	GPMT	STRS	LODE	SEVN
CHCI		0.57	-0.01	0.51	0.58	-0.19	0.7	-0.69	-0.57	0.26	CHCI
ONL	0.57		-0.23	0.86	0.76	-0.14	0.54	-0.64	-0.14	0.69	ONL
AEI	-0.01	-0.23		-0.01	0.09	0.17	0.15	0.1	-0.03	0.05	AEI
FSP	0.51	0.86	-0.01		0.87	0.09	0.61	-0.49	0.01	0.83	FSP
AXR	0.58	0.76	0.09	0.87		0.09	0.68	-0.53	0.05	0.73	AXR
SUNS	-0.19	-0.14	0.17	0.09	0.09		0.22	0.61	0.38	0.29	SUNS
GPMT	0.7	0.54	0.15	0.61	0.68	0.22		-0.45	-0.25	0.36	GPMT
STRS	-0.69	-0.64	0.1	-0.49	-0.53	0.61	-0.45		0.53	-0.21	STRS
LODE	-0.57	-0.14	-0.03	0.01	0.05	0.38	-0.25	0.53		0.09	LODE
SEVN	0.26	0.69	0.05	0.83	0.73	0.29	0.36	-0.21	0.09		SEVN
	CHCI	ONL	AEI	FSP	AXR	SUNS	GPMT	STRS	LODE	SEVN

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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

AXR	+ 0.87	FSP
FSP	+ 0.86	ONL
SEVN	+ 0.83	FSP
AXR	+ 0.76	ONL
SEVN	+ 0.73	AXR
GPMT	+ 0.7	CHCI

High negative correlations

STRS	- 0.69	CHCI
STRS	- 0.64	ONL
LODE	- 0.57	CHCI
STRS	- 0.53	AXR
STRS	- 0.49	FSP
STRS	- 0.45	GPMT

Risk-Adjusted Indicators

There is a big difference between Mobile Stock performing well and Mobile Infrastructure 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 Mobile Infrastructure'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
CHCI	3.11	(0.48)	0.00	(0.28)	0.00	0.00	6.31	(6.29)	25.16
ONL	1.80	(0.32)	0.00	(0.59)	0.00	0.00	3.54	(3.48)	10.93
AEI	4.97	0.24	0.07	0.12	5.65	(5.96)	13.03	(10.37)	29.75
FSP	2.37	(0.82)	0.00	18.38	0.00	0.00	3.62	(4.90)	12.85
AXR	1.90	(0.46)	0.00	(0.27)	0.00	0.00	3.65	(4.51)	10.38
SUNS	1.64	(0.18)	0.00	(0.12)	0.00	0.00	3.63	(2.81)	10.49
GPMT	1.64	(0.33)	0.00	(0.33)	0.00	0.00	3.00	(3.44)	8.57
STRS	2.49	0.08	0.05	0.10	2.70	(2.95)	5.97	(4.86)	19.13
LODE	4.28	0.09	0.04	0.09	4.71	(4.82)	9.09	(8.04)	23.38
SEVN	1.30	(0.23)	0.00	(0.44)	0.00	0.00	2.88	(3.22)	7.85

Mobile Infrastructure Corporate Management

Adam Fraser	Senior Sales	Profile
Paul Gohr	Chief Officer	Profile
Jason Adams	Data Manager	Profile
Paul CPA	Chief Officer	Profile

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