Figma Correlations

FIG Etf

USD 29.17 0.24 0.83%

The current 90-days correlation between Figma Inc and PTC Inc is 0.18 (i.e., Average diversification). The correlation of Figma 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.

Figma Correlation With Market

Good diversification

The correlation between Figma Inc and DJI is -0.2 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Figma Inc and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Figma Etf

Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Figma Inc. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.

Moving together with Figma Etf

0.63

IRE

Tidal Trust II

Pair Corr

Moving against Figma Etf

0.79	FNGD	MicroSectors FANG Index	Pair Corr
0.76	JPST	JPMorgan Ultra Short	Pair Corr
0.62	DUKH	Ocean Park High	Pair Corr
0.6	NVDS	AXS 125X NVDA	Pair Corr
0.51	FB	ProShares Trust ProShares	Pair Corr
0.51	LITL	Simplify Exchange Traded	Pair Corr
0.47	JAMF	Jamf Holding	Pair Corr
0.46	IWD	iShares Russell 1000	Pair Corr
0.36	FROG	Jfrog	Pair Corr
0.63	JNJ	Johnson Johnson	Pair Corr
0.56	WMT	Walmart Common Stock Sell-off Trend	Pair Corr
0.55	KO	Coca Cola Aggressive Push	Pair Corr
0.53	XOM	Exxon Mobil Corp Earnings Call This Week	Pair Corr
0.52	MRK	Merck Company Earnings Call Next Week	Pair Corr
0.45	PFE	Pfizer Inc Earnings Call Next Week	Pair Corr
0.34	INTC	Intel Earnings Call This Week	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.54	0.23	-0.16	0.16	-0.11	0.52	-0.05	-0.24	-0.25	META
MSFT	0.54		0.78	-0.54	0.54	0.28	0.35	-0.22	-0.84	-0.72	MSFT
UBER	0.23	0.78		-0.45	0.46	0.51	0.02	-0.36	-0.8	-0.5	UBER
F	-0.16	-0.54	-0.45		-0.69	-0.12	0.09	0.58	0.67	0.59	F
T	0.16	0.54	0.46	-0.69		0.55	-0.13	-0.4	-0.49	-0.66	T
A	-0.11	0.28	0.51	-0.12	0.55		-0.33	-0.24	-0.26	-0.38	A
CRM	0.52	0.35	0.02	0.09	-0.13	-0.33		0.56	-0.11	-0.36	CRM
JPM	-0.05	-0.22	-0.36	0.58	-0.4	-0.24	0.56		0.45	0.1	JPM
MRK	-0.24	-0.84	-0.8	0.67	-0.49	-0.26	-0.11	0.45		0.73	MRK
XOM	-0.25	-0.72	-0.5	0.59	-0.66	-0.38	-0.36	0.1	0.73		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

UBER	+ 0.78	MSFT
XOM	+ 0.73	MRK
MRK	+ 0.67	F
XOM	+ 0.59	F
JPM	+ 0.58	F
JPM	+ 0.56	CRM

High negative correlations

MRK	- 0.84	MSFT
MRK	- 0.8	UBER
XOM	- 0.72	MSFT
T	- 0.69	F
XOM	- 0.66	T
F	- 0.54	MSFT

Figma Competition Risk-Adjusted Indicators

There is a big difference between Figma Etf performing well and Figma ETF 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 Figma'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	1.44	(0.19)	0.00	(0.11)	0.00	0.00	3.16	(2.67)	13.02
MSFT	1.05	(0.17)	0.00	(0.45)	0.00	0.00	1.78	(2.50)	4.90
UBER	1.45	(0.23)	0.00	(0.24)	0.00	0.00	2.60	(3.82)	10.23
F	1.42	0.03	0.04	0.09	1.38	(1.76)	3.38	(2.35)	16.30
T	0.87	(0.14)	0.00	(17.25)	0.00	0.00	1.53	(1.85)	4.30
A	1.21	(0.11)	0.00	(0.19)	0.00	0.00	2.90	(2.58)	7.85
CRM	1.47	(0.27)	0.00	(0.18)	0.00	0.00	2.94	(3.10)	12.37
JPM	1.12	(0.08)	(0.02)	0.02	1.70	(1.09)	2.00	(3.11)	7.38
MRK	1.24	0.27	0.19	0.45	1.11	(1.53)	3.59	(1.98)	8.09
XOM	1.07	0.28	0.18	4.39	0.95	(1.26)	2.38	(1.51)	5.82

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