GoHealth Correlations

GOCO Stock

USD 2.15 0.09 4.02%

The current 90-days correlation between GoHealth and Siebert Financial Corp is 0.09 (i.e., Significant diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as GoHealth moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GoHealth moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

GoHealth Correlation With Market

Modest diversification

The correlation between GoHealth and DJI is 0.26 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding GoHealth and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with GoHealth Stock

Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in GoHealth. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in services.

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

Moving together with GoHealth Stock

0.81	ERIE	Erie Indemnity	Pair Corr
0.82	KFS	Kingsway Financial	Pair Corr
0.75	GBLI	Global Indemnity Group,	Pair Corr
0.83	ADM	Admiral Group PLC	Pair Corr
0.72	HUIZ	Huize Holding	Pair Corr

Moving against GoHealth Stock

0.87	AGO	Assured Guaranty	Pair Corr
0.82	CB	Chubb	Pair Corr
0.82	AXS	AXIS Capital Holdings	Pair Corr
0.81	AIZ	Assurant	Pair Corr
0.78	TSU	Trisura Group	Pair Corr
0.75	ACT	Enact Holdings	Pair Corr
0.71	FIHL	Fidelis Insurance	Pair Corr
0.71	BOW	Bowhead Specialty	Pair Corr
0.63	601319	Peoples Insurance	Pair Corr
0.51	CNA	CNA Financial	Pair Corr
0.43	FAF	First American	Pair Corr
0.42	ALL	Allstate	Pair Corr
0.87	MKL	Markel	Pair Corr
0.82	UVE	Universal Insurance	Pair Corr
0.81	MCY	Mercury General	Pair Corr
0.77	TRV	The Travelers Companies	Pair Corr
0.72	ORI	Old Republic Interna	Pair Corr
0.71	WTM	White Mountains Insurance	Pair Corr
0.55	MBI	MBIA Inc	Pair Corr
0.55	THG	Hanover Insurance	Pair Corr
0.42	STC	Stewart Information	Pair Corr
0.4	RLI	RLI Corp	Pair Corr
0.87	IFC	Intact Financial	Pair Corr
0.84	LMND	Lemonade	Pair Corr
0.82	HGTY	Hagerty	Pair Corr
0.8	HRTG	Heritage Insurance Hldgs	Pair Corr
0.75	IAGPE	Insurance Australia	Pair Corr
0.7	IGIC	International General	Pair Corr

Related Correlations Analysis

	MAAS	SIEB	PROP	KVAC	MGYR	LSBK	NOEM	FGMC	RVSB	FGBI
MAAS		0.52	-0.55	0.6	0.24	0.81	0.7	0.04	-0.04	-0.74	MAAS
SIEB	0.52		-0.5	0.52	0.54	0.32	0.8	0.33	0.14	-0.24	SIEB
PROP	-0.55	-0.5		-0.63	-0.2	-0.51	-0.6	-0.11	-0.03	0.64	PROP
KVAC	0.6	0.52	-0.63		0.32	0.61	0.6	0.2	-0.02	-0.58	KVAC
MGYR	0.24	0.54	-0.2	0.32		-0.07	0.3	0.11	0.0	0.17	MGYR
LSBK	0.81	0.32	-0.51	0.61	-0.07		0.67	0.07	0.14	-0.92	LSBK
NOEM	0.7	0.8	-0.6	0.6	0.3	0.67		0.2	0.31	-0.62	NOEM
FGMC	0.04	0.33	-0.11	0.2	0.11	0.07	0.2		-0.12	-0.06	FGMC
RVSB	-0.04	0.14	-0.03	-0.02	0.0	0.14	0.31	-0.12		-0.1	RVSB
FGBI	-0.74	-0.24	0.64	-0.58	0.17	-0.92	-0.62	-0.06	-0.1		FGBI
	MAAS	SIEB	PROP	KVAC	MGYR	LSBK	NOEM	FGMC	RVSB	FGBI

Please upgrade your account to get full access to Macroaxis premium features

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

LSBK	+ 0.81	MAAS
NOEM	+ 0.8	SIEB
NOEM	+ 0.7	MAAS
NOEM	+ 0.67	LSBK
FGBI	+ 0.64	PROP
LSBK	+ 0.61	KVAC

High negative correlations

FGBI	- 0.92	LSBK
FGBI	- 0.74	MAAS
KVAC	- 0.63	PROP
FGBI	- 0.62	NOEM
NOEM	- 0.6	PROP
FGBI	- 0.58	KVAC

Risk-Adjusted Indicators

There is a big difference between GoHealth Stock performing well and GoHealth 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 GoHealth'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
MAAS	3.50	0.64	0.13	0.93	3.71	(3.61)	8.92	(6.23)	24.13
SIEB	2.96	0.25	0.11	0.16	2.71	(4.31)	6.87	(6.23)	21.73
PROP	3.08	(0.09)	(0.02)	(0.01)	3.78	(3.27)	6.47	(6.55)	18.46
KVAC	0.21	0.01	(0.06)	(0.05)	0.35	(0.79)	0.78	(0.60)	3.05
MGYR	0.82	0.03	(0.03)	(0.55)	1.05	(0.93)	1.81	(1.67)	6.78
LSBK	0.81	0.18	0.14	0.59	0.75	(0.95)	2.39	(1.13)	5.78
NOEM	0.11	0.01	(0.17)	0.31	0.00	(0.32)	0.39	(0.29)	1.25
FGMC	0.09	0.00	(0.36)	(0.32)	0.05	(0.17)	0.20	(0.20)	1.00
RVSB	1.45	(0.16)	0.00	(0.09)	0.00	0.00	3.56	(3.06)	9.58
FGBI	3.07	(0.61)	0.00	(0.33)	0.00	0.00	5.23	(7.07)	29.68

GoHealth Corporate Management

Michael Kelley	Chief Insights	Profile
Melissa Balsan	Chief Officer	Profile
Michael Hargis	Chief Officer	Profile
Craig Uchytil	Chief Officer	Profile
Shane Cruz	Chief Officer	Profile
Blair Kessler	Chief Officer	Profile
Jason Schulz	Executive Officer	Profile

Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions

Feedback Blog

Made with optimal in San Francisco

2025 Macroaxis LLC