Mango Capital Correlations

MCAP Stock

USD 10.00 0.00 0.00%

The current 90-days correlation between Mango Capital and Shopify Class A is -0.16 (i.e., Good diversification). The correlation of Mango Capital 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.

Mango Capital Correlation With Market

Significant diversification

The correlation between Mango Capital 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 Mango Capital and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with Mango Pink Sheet

0.89	KB	KB Financial Group	Pair Corr
0.8	SHG	Shinhan Financial Earnings Call This Week	Pair Corr
0.72	WF	Woori Financial Group Earnings Call Tomorrow	Pair Corr
0.74	PTHL	Pheton Holdings	Pair Corr
0.67	FPAFF	First Pacific	Pair Corr
0.7	LTRY	Lottery, Common Stock	Pair Corr
0.76	CAT	Caterpillar	Pair Corr
0.67	MMM	3M Company	Pair Corr
0.77	JPM	JPMorgan Chase	Pair Corr
0.64	CVX	Chevron Corp	Pair Corr
0.8	BA	Boeing Earnings Call This Week	Pair Corr
0.83	BAC	Bank of America Aggressive Push	Pair Corr
0.85	CSCO	Cisco Systems Sell-off Trend	Pair Corr
0.67	PFE	Pfizer Inc	Pair Corr
0.91	DIS	Walt Disney	Pair Corr
0.73	AA	Alcoa Corp	Pair Corr
0.89	GE	GE Aerospace	Pair Corr

Moving against Mango Pink Sheet

0.61	OPINL	Office Properties Income Earnings Call This Week	Pair Corr
0.45	FVR	FrontView REIT,	Pair Corr

Related Correlations Analysis

	SHOP	DCBO	U	FSLY	ASAN	DDOG	TTD	ZM	CRM	UBER
SHOP		-0.25	0.8	0.58	-0.26	0.91	0.85	0.3	0.27	0.84	SHOP
DCBO	-0.25		0.04	-0.66	-0.1	-0.21	-0.6	-0.56	-0.24	-0.27	DCBO
U	0.8	0.04		0.28	-0.33	0.78	0.63	-0.09	-0.14	0.56	U
FSLY	0.58	-0.66	0.28		0.26	0.48	0.81	0.78	0.63	0.59	FSLY
ASAN	-0.26	-0.1	-0.33	0.26		-0.41	0.05	0.55	0.54	-0.12	ASAN
DDOG	0.91	-0.21	0.78	0.48	-0.41		0.77	0.14	0.15	0.85	DDOG
TTD	0.85	-0.6	0.63	0.81	0.05	0.77		0.56	0.4	0.79	TTD
ZM	0.3	-0.56	-0.09	0.78	0.55	0.14	0.56		0.82	0.41	ZM
CRM	0.27	-0.24	-0.14	0.63	0.54	0.15	0.4	0.82		0.52	CRM
UBER	0.84	-0.27	0.56	0.59	-0.12	0.85	0.79	0.41	0.52		UBER
	SHOP	DCBO	U	FSLY	ASAN	DDOG	TTD	ZM	CRM	UBER

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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

DDOG	+ 0.91	SHOP
TTD	+ 0.85	SHOP
UBER	+ 0.85	DDOG
UBER	+ 0.84	SHOP
CRM	+ 0.82	ZM
TTD	+ 0.81	FSLY

High negative correlations

FSLY	- 0.66	DCBO
TTD	- 0.6	DCBO
ZM	- 0.56	DCBO
DDOG	- 0.41	ASAN
ASAN	- 0.33	U
UBER	- 0.27	DCBO

Risk-Adjusted Indicators

There is a big difference between Mango Pink Sheet performing well and Mango Capital 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 Mango Capital'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
SHOP	2.32	0.72	0.23	(2.81)	1.89	(2.63)	5.63	(3.86)	18.01
DCBO	1.68	(0.05)	(0.01)	0.09	3.43	(1.64)	3.21	(2.42)	22.92
U	3.02	1.27	0.34	(1.23)	2.13	(3.58)	7.62	(5.08)	17.80
FSLY	2.47	0.26	0.11	0.28	2.72	(2.69)	5.47	(3.73)	36.37
ASAN	2.21	(0.24)	0.00	(0.02)	0.00	0.00	4.16	(4.14)	26.16
DDOG	1.76	0.56	0.34	0.66	1.17	(2.18)	4.17	(2.24)	19.16
TTD	2.30	0.80	0.25	10.67	1.97	(2.54)	6.37	(3.70)	25.09
ZM	0.93	0.06	(0.06)	(3.57)	1.15	(0.96)	1.85	(1.79)	7.05
CRM	1.33	(0.14)	(0.05)	0.04	1.71	(1.31)	2.95	(3.19)	9.31
UBER	1.63	0.19	0.12	0.32	1.40	(2.06)	4.19	(2.54)	10.87

Be your own money manager

Our tools can tell you how much better you can do entering a position in Mango Capital 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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Mango Capital Corporate Management

David Menn	CEO Chairman	Profile
Richard Makoujy	President	Profile
Jacqueline Palumbo	Communications Director	Profile
MBA JD	COO Advisors	Profile
Charles CPA	CFO Advisors	Profile
Elliot Esq	Corp Advisors	Profile

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