Autoliv Correlations

ALV Stock

USD 97.80 1.28 1.33%

The current 90-days correlation between Autoliv and Gentex is 0.45 (i.e., Very weak diversification). The correlation of Autoliv 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.

Autoliv Correlation With Market

Weak diversification

The correlation between Autoliv and DJI is 0.38 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Autoliv and DJI in the same portfolio, assuming nothing else is changed.

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Autoliv. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis.

For more information on how to buy Autoliv Stock please use our How to Invest in Autoliv guide.

Moving together with Autoliv Stock

0.61	F	Ford Motor	Pair Corr
0.61	AXL	American Axle Manufa	Pair Corr
0.78	CPS	Cooper Stnd	Pair Corr

Moving against Autoliv Stock

0.46	LI	Li Auto	Pair Corr
0.74	NIO	Nio Class A Aggressive Push	Pair Corr
0.41	NIU	Niu Technologies	Pair Corr
0.38	ECX	ECARX Holdings Class	Pair Corr

Related Correlations Analysis

	GNTX	ADNT	FOXF	DAN	LEA	CVGI	AXL	DORM	SRI	BWA
GNTX		0.12	-0.03	-0.04	0.11	0.15	0.41	0.16	0.11	0.09	GNTX
ADNT	0.12		0.85	0.85	0.81	0.68	0.37	-0.61	0.63	0.4	ADNT
FOXF	-0.03	0.85		0.85	0.81	0.81	0.09	-0.75	0.75	0.19	FOXF
DAN	-0.04	0.85	0.85		0.84	0.76	0.25	-0.78	0.74	0.2	DAN
LEA	0.11	0.81	0.81	0.84		0.89	0.22	-0.76	0.92	-0.05	LEA
CVGI	0.15	0.68	0.81	0.76	0.89		0.03	-0.8	0.92	-0.19	CVGI
AXL	0.41	0.37	0.09	0.25	0.22	0.03		0.25	0.07	0.39	AXL
DORM	0.16	-0.61	-0.75	-0.78	-0.76	-0.8	0.25		-0.77	0.17	DORM
SRI	0.11	0.63	0.75	0.74	0.92	0.92	0.07	-0.77		-0.34	SRI
BWA	0.09	0.4	0.19	0.2	-0.05	-0.19	0.39	0.17	-0.34		BWA
	GNTX	ADNT	FOXF	DAN	LEA	CVGI	AXL	DORM	SRI	BWA

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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

SRI	+ 0.92	LEA
SRI	+ 0.92	CVGI
CVGI	+ 0.89	LEA
FOXF	+ 0.85	ADNT
DAN	+ 0.85	ADNT
DAN	+ 0.85	FOXF

High negative correlations

DORM	- 0.8	CVGI
DORM	- 0.78	DAN
SRI	- 0.77	DORM
DORM	- 0.76	LEA
DORM	- 0.75	FOXF
DORM	- 0.61	ADNT

Risk-Adjusted Indicators

There is a big difference between Autoliv Stock performing well and Autoliv 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 Autoliv'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
GNTX	1.12	(0.09)	0.00	(0.04)	0.00	0.00	2.33	(2.36)	7.93
ADNT	1.89	(0.29)	0.00	(0.11)	0.00	0.00	4.08	(4.22)	10.66
FOXF	1.94	(0.52)	0.00	(0.17)	0.00	0.00	3.80	(4.37)	15.31
DAN	2.52	(0.60)	0.00	(0.14)	0.00	0.00	3.88	(5.70)	22.77
LEA	1.37	(0.38)	0.00	(0.23)	0.00	0.00	2.62	(3.17)	9.76
CVGI	3.11	(0.72)	0.00	(0.18)	0.00	0.00	7.11	(6.06)	30.58
AXL	1.93	(0.19)	0.00	(0.01)	0.00	0.00	5.00	(3.27)	12.38
DORM	1.31	0.29	0.22	0.43	0.92	(1.60)	3.10	(2.03)	14.67
SRI	2.75	(1.37)	0.00	(0.39)	0.00	0.00	4.32	(6.29)	30.14
BWA	1.30	(0.06)	(0.02)	0.04	1.56	(1.44)	2.84	(2.56)	7.85

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