XPO Logistics Correlations

XPO Stock

USD 138.27 1.13 0.81%

The current 90-days correlation between XPO Logistics and JB Hunt Transport is 0.38 (i.e., Weak diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as XPO Logistics moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if XPO Logistics moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

XPO Logistics Correlation With Market

Good diversification

The correlation between XPO Logistics and DJI is -0.15 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding XPO Logistics and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with XPO Stock

Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in XPO Logistics. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in producer price index.

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

Moving together with XPO Stock

0.69	CHRW	CH Robinson Worldwide	Pair Corr
0.63	ANSLF	Ansell Limited	Pair Corr
0.73	YCQH	YCQH Agricultural	Pair Corr

Moving against XPO Stock

0.41	TOTAL	Total Transport Systems	Pair Corr
0.41	CJT	Cargojet	Pair Corr
0.32	CJMB	Callan JMB Common	Pair Corr

Related Correlations Analysis

	JBHT	EXPD	CHRW	ZTO	MTZ	LUV	ULS	WWD	TRU	CRS
JBHT		0.38	0.43	0.1	0.18	-0.1	0.74	0.73	-0.39	0.8	JBHT
EXPD	0.38		0.72	0.01	0.03	0.05	0.48	0.4	-0.1	0.52	EXPD
CHRW	0.43	0.72		-0.21	0.43	-0.05	0.64	0.48	-0.37	0.62	CHRW
ZTO	0.1	0.01	-0.21		0.12	-0.21	0.22	0.23	-0.1	0.15	ZTO
MTZ	0.18	0.03	0.43	0.12		0.19	0.6	0.46	-0.68	0.34	MTZ
LUV	-0.1	0.05	-0.05	-0.21	0.19		0.03	-0.04	-0.24	-0.29	LUV
ULS	0.74	0.48	0.64	0.22	0.6	0.03		0.83	-0.69	0.83	ULS
WWD	0.73	0.4	0.48	0.23	0.46	-0.04	0.83		-0.66	0.87	WWD
TRU	-0.39	-0.1	-0.37	-0.1	-0.68	-0.24	-0.69	-0.66		-0.38	TRU
CRS	0.8	0.52	0.62	0.15	0.34	-0.29	0.83	0.87	-0.38		CRS
	JBHT	EXPD	CHRW	ZTO	MTZ	LUV	ULS	WWD	TRU	CRS

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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

CRS	+ 0.87	WWD
WWD	+ 0.83	ULS
CRS	+ 0.83	ULS
CRS	+ 0.8	JBHT
ULS	+ 0.74	JBHT
WWD	+ 0.73	JBHT

High negative correlations

TRU	- 0.69	ULS
TRU	- 0.68	MTZ
TRU	- 0.66	WWD
TRU	- 0.39	JBHT
CRS	- 0.38	TRU
TRU	- 0.37	CHRW

Risk-Adjusted Indicators

There is a big difference between XPO Stock performing well and XPO Logistics 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 XPO Logistics' 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
JBHT	1.85	0.36	0.13	(2.26)	1.67	(2.32)	3.67	(2.88)	24.93
EXPD	1.15	0.22	0.11	0.57	1.19	(1.27)	2.23	(2.45)	13.29
CHRW	1.27	0.38	0.20	0.99	1.02	(1.38)	2.38	(2.22)	22.91
ZTO	1.00	(0.03)	0.00	0.25	0.00	0.00	1.66	(1.96)	5.55
MTZ	1.76	0.09	0.02	0.25	2.21	(1.83)	3.92	(4.03)	15.54
LUV	1.58	(0.02)	0.01	0.10	2.01	(1.60)	4.22	(3.42)	11.72
ULS	1.45	0.28	0.15	0.40	1.51	(1.63)	4.51	(2.73)	11.98
WWD	1.10	0.04	0.01	0.18	1.06	(1.20)	2.56	(1.80)	8.10
TRU	1.78	0.04	0.00	0.05	0.00	0.00	3.80	(3.03)	16.20
CRS	2.09	0.30	0.16	0.36	1.63	(2.41)	4.37	(2.83)	25.36

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