Sea Correlations

SE Stock

USD 127.85 1.60 1.27%

The current 90-days correlation between Sea and Carvana Co is 0.17 (i.e., Average diversification). The correlation of Sea 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.

Sea Correlation With Market

Modest diversification

The correlation between Sea and DJI is 0.24 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Sea and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Sea Stock

Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Sea. 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.

For information on how to trade Sea Stock refer to our How to Trade Sea Stock guide.

Moving together with Sea Stock

0.96	GCL	GCL Global Holdings Earnings Call This Week	Pair Corr
0.88	WKS	Winking Studios	Pair Corr
0.84	GIGM	Giga Media	Pair Corr
0.91	GMHS	Gamehaus Holdings Class	Pair Corr
0.84	GRVY	Gravity	Pair Corr
0.81	002517	Kingnet Network	Pair Corr
0.89	GXAI	Gaxosai	Pair Corr
0.88	301011	GuangZhou Wahlap Tec	Pair Corr
0.75	603444	G bits Network	Pair Corr
0.92	300113	Hangzhou Shunwang Tech	Pair Corr
0.89	002261	Talkweb Information	Pair Corr
0.89	GFIN	Gfinity PLC	Pair Corr
0.65	TBLD	Tinybuild	Pair Corr
0.9	BET	NorthStar Gaming Holdings	Pair Corr
0.83	002624	Perfect World	Pair Corr
0.8	603258	Hangzhou Electn Soul	Pair Corr
0.64	300418	Beijing Kunlun Tech	Pair Corr
0.73	300315	Ourpalm	Pair Corr
0.86	NCTY	The9 Ltd ADR	Pair Corr
0.86	NTES	NetEase	Pair Corr
0.78	300533	Shenzhen Bingchuan	Pair Corr

Moving against Sea Stock

0.9	WBD	Warner Bros Discovery Aggressive Push	Pair Corr
0.84	300518	Shenzhen Shengxunda	Pair Corr
0.83	RCL	Readcloud	Pair Corr
0.48	EA	Electronic Arts	Pair Corr
0.42	FDEV	Frontier Developments Plc	Pair Corr
0.76	300235	Shenzhen Kingsun Science	Pair Corr
0.39	300467	Sichuan Xunyou Network	Pair Corr

Related Correlations Analysis

	CVNA	MELI	NKE	SBUX	CPNG	ABNB	ORLY	JD	RCL	MAR
CVNA		-0.3	0.09	0.37	-0.59	0.6	-0.33	-0.31	0.12	0.51	CVNA
MELI	-0.3		0.4	-0.35	0.74	-0.14	0.41	0.77	0.47	-0.68	MELI
NKE	0.09	0.4		-0.03	0.58	-0.1	0.62	0.69	0.66	-0.56	NKE
SBUX	0.37	-0.35	-0.03		-0.49	0.29	-0.14	-0.36	-0.11	0.56	SBUX
CPNG	-0.59	0.74	0.58	-0.49		-0.4	0.63	0.89	0.49	-0.93	CPNG
ABNB	0.6	-0.14	-0.1	0.29	-0.4		-0.61	-0.11	0.3	0.28	ABNB
ORLY	-0.33	0.41	0.62	-0.14	0.63	-0.61		0.58	0.44	-0.53	ORLY
JD	-0.31	0.77	0.69	-0.36	0.89	-0.11	0.58		0.72	-0.84	JD
RCL	0.12	0.47	0.66	-0.11	0.49	0.3	0.44	0.72		-0.52	RCL
MAR	0.51	-0.68	-0.56	0.56	-0.93	0.28	-0.53	-0.84	-0.52		MAR
	CVNA	MELI	NKE	SBUX	CPNG	ABNB	ORLY	JD	RCL	MAR

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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

JD	+ 0.89	CPNG
JD	+ 0.77	MELI
CPNG	+ 0.74	MELI
RCL	+ 0.72	JD
JD	+ 0.69	NKE
RCL	+ 0.66	NKE

High negative correlations

MAR	- 0.93	CPNG
MAR	- 0.84	JD
MAR	- 0.68	MELI
ORLY	- 0.61	ABNB
CPNG	- 0.59	CVNA
MAR	- 0.56	NKE

Risk-Adjusted Indicators

There is a big difference between Sea Stock performing well and Sea 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 Sea'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
CVNA	3.11	0.14	0.05	0.14	4.26	(3.09)	6.33	(6.78)	20.14
MELI	1.99	(0.43)	0.00	(0.20)	0.00	0.00	3.20	(6.57)	14.15
NKE	1.74	(0.30)	0.00	(0.16)	0.00	0.00	3.87	(3.52)	16.95
SBUX	1.48	(0.05)	(0.02)	0.03	1.69	(1.62)	3.30	(2.53)	7.75
CPNG	1.40	(0.48)	0.00	(0.42)	0.00	0.00	1.99	(4.69)	8.55
ABNB	1.08	0.08	0.06	0.16	1.21	(1.07)	2.77	(1.86)	7.01
ORLY	1.02	(0.19)	0.00	(1.24)	0.00	0.00	2.20	(2.35)	6.37
JD	1.32	(0.34)	0.00	(0.21)	0.00	0.00	3.04	(2.89)	9.64
RCL	1.86	(0.29)	0.00	(0.10)	0.00	0.00	4.50	(4.06)	13.13
MAR	1.22	0.21	0.15	0.29	1.09	(1.35)	3.31	(2.23)	8.24

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