Micromobility Correlations

Summary

MCOMWDelisted Stock

0.02 0.00 0.00%

The correlation of Micromobility 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.

Micromobility Correlation With Market

Modest diversification

The correlation between Micromobility and DJI is 0.21 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Micromobility and DJI in the same portfolio, assuming nothing else is changed.

Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in population.

Moving together with Micromobility Stock

0.82	MCOM	Micromobility	Pair Corr
0.91	EBET	Ebet Inc	Pair Corr
0.69	TFRFF	Tefron	Pair Corr
0.79	WPRT	Westport Fuel Systems	Pair Corr
0.78	AVY	Avery Dennison Corp	Pair Corr

Moving against Micromobility Stock

0.68	DIIBF	Dorel Industries	Pair Corr
0.64	IP	International Paper	Pair Corr
0.59	SW	Smurfit WestRock plc	Pair Corr
0.59	DRVN	Driven Brands Holdings	Pair Corr
0.4	BC-PB	Brunswick Corp	Pair Corr
0.71	KFS	Kingsway Financial	Pair Corr
0.68	KRT	Karat Packaging	Pair Corr
0.66	FLUT	Flutter Entertainment plc	Pair Corr
0.61	GEF	Greif Bros Fiscal Year End 4th of December 2024	Pair Corr
0.4	WBUY	WEBUY GLOBAL LTD	Pair Corr
0.39	CCK	Crown Holdings Sell-off Trend	Pair Corr
0.35	KAR	KAR Auction Services	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.28	0.56	-0.01	0.59	0.02	0.66	0.28	-0.55	0.71	META
MSFT	0.28		0.24	0.11	0.18	-0.01	0.01	-0.17	0.12	-0.19	MSFT
UBER	0.56	0.24		-0.03	0.0	0.26	0.03	-0.11	0.05	0.36	UBER
F	-0.01	0.11	-0.03		0.06	-0.38	0.4	0.65	-0.28	0.3	F
T	0.59	0.18	0.0	0.06		-0.5	0.75	0.52	-0.77	0.38	T
A	0.02	-0.01	0.26	-0.38	-0.5		-0.48	-0.64	0.64	-0.01	A
CRM	0.66	0.01	0.03	0.4	0.75	-0.48		0.84	-0.92	0.68	CRM
JPM	0.28	-0.17	-0.11	0.65	0.52	-0.64	0.84		-0.83	0.51	JPM
MRK	-0.55	0.12	0.05	-0.28	-0.77	0.64	-0.92	-0.83		-0.56	MRK
XOM	0.71	-0.19	0.36	0.3	0.38	-0.01	0.68	0.51	-0.56		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

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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

JPM	+ 0.84	CRM
CRM	+ 0.75	T
XOM	+ 0.71	META
XOM	+ 0.68	CRM
CRM	+ 0.66	META
JPM	+ 0.65	F

High negative correlations

MRK	- 0.92	CRM
MRK	- 0.83	JPM
MRK	- 0.77	T
JPM	- 0.64	A
XOM	- 0.56	MRK
MRK	- 0.55	META

Risk-Adjusted Indicators

There is a big difference between Micromobility Stock performing well and Micromobility 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 Micromobility'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
META	1.06	0.02	(0.01)	0.15	1.41	(1.14)	2.62	(3.15)	8.02
MSFT	0.88	(0.08)	(0.07)	0.01	1.51	(0.83)	2.09	(1.85)	8.19
UBER	1.62	(0.12)	(0.05)	0.00	2.25	(1.79)	2.69	(2.44)	20.10
F	1.41	(0.13)	(0.03)	0.03	2.20	(1.39)	2.53	(2.90)	11.21
T	0.92	0.26	0.13	(10.00)	0.86	(1.04)	2.56	(1.72)	6.47
A	1.14	(0.13)	0.00	(0.12)	0.00	0.00	2.29	(2.42)	9.02
CRM	1.28	0.26	0.21	0.35	0.91	(1.51)	3.18	(1.91)	9.09
JPM	1.12	0.00	0.06	0.12	1.44	(1.17)	2.05	(2.00)	15.87
MRK	0.88	(0.24)	0.00	(0.81)	0.00	0.00	2.00	(2.13)	4.89
XOM	1.03	0.00	(0.04)	0.12	1.25	(1.10)	2.14	(2.09)	5.78

Micromobility Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Micromobility stock to make a market-neutral strategy. Peer analysis of Micromobility could also be used in its relative valuation, which is a method of valuing Micromobility by comparing valuation metrics with similar companies.

JD Sports Fashion Xponential Fitness Thor Industries Visteon Corp Tesla Inc Hasbro Inc Modine Manufacturing American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup SentinelOne CVS Health Corp Chevron Corp

Risk & Return

Correlation

Still Interested in Micromobility?

Investing in delisted delisted stocks can be risky, as the stock is no longer traded on a public exchange and can therefore be difficult to sell. Delisting typically occurs when a company has failed to meet exchange requirements or has been acquired. Before investing, it's important to thoroughly research the company, including its financial health and prospects for the future, as well as the reasons for its delisting. Additionally, it may be difficult to find accurate and up-to-date information on the company and its stock.

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