Ferrovial Correlations

FER Stock

66.75 0.43 0.65%

The current 90-days correlation between Ferrovial SE and WW Grainger is 0.11 (i.e., Average diversification). The correlation of Ferrovial 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.

Ferrovial Correlation With Market

Weak diversification

The correlation between Ferrovial SE and DJI is 0.32 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Ferrovial SE and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Ferrovial Stock

Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Ferrovial SE. 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.

Moving together with Ferrovial Stock

0.69	002307	Xinjiang Beixin Road	Pair Corr
0.75	APG	Api Group Corp	Pair Corr
0.77	ECG	Everus Construction	Pair Corr
0.82	JFB	JFB Construction Holdings	Pair Corr
0.75	002822	Shenzhen Zhongzhuang	Pair Corr
0.88	600496	Changjiang Jinggong Steel	Pair Corr
0.78	DRT	DIRTT Environmental	Pair Corr
0.81	603843	Zhengping RoadBridge	Pair Corr
0.72	600853	Longjian Road Bridge	Pair Corr
0.95	BDGI	Badger Infrastructure	Pair Corr

Moving against Ferrovial Stock

0.81	300732	Henan Provincial Com	Pair Corr
0.63	002551	Shenzhen Glory Medical	Pair Corr
0.57	ACM	Aecom Technology	Pair Corr
0.54	600545	Saurer Intelligent	Pair Corr
0.5	601789	Ningbo Construction	Pair Corr
0.44	603176	Huitong Construction	Pair Corr
0.42	MSP	Minaean SP Construction	Pair Corr
0.38	WSC	Willscot Mobile Mini	Pair Corr
0.86	ROAD	Construction Partners	Pair Corr
0.84	CHHE	China Health Industries	Pair Corr
0.75	600491	Long Yuan Construction	Pair Corr
0.69	ONEG	OneConstruction Group	Pair Corr
0.44	UATG	Umbra Applied Techno	Pair Corr
0.4	EPGG	Empire Global Gaming	Pair Corr
0.38	601186	China Railway Constr	Pair Corr
0.34	BDT	Bird Construction	Pair Corr

Related Correlations Analysis

	GWW	FERG	AME	DAL	PAYX	WCN	PCAR	SYM	FAST	ROK
GWW		-0.36	0.16	0.43	0.45	0.18	0.5	-0.19	0.35	0.02	GWW
FERG	-0.36		0.42	0.2	-0.61	-0.27	0.07	0.71	-0.69	0.49	FERG
AME	0.16	0.42		0.57	-0.72	-0.32	0.67	0.24	-0.61	0.85	AME
DAL	0.43	0.2	0.57		-0.31	0.07	0.85	0.18	-0.38	0.73	DAL
PAYX	0.45	-0.61	-0.72	-0.31		0.39	-0.34	-0.33	0.82	-0.82	PAYX
WCN	0.18	-0.27	-0.32	0.07	0.39		0.17	-0.23	0.31	-0.19	WCN
PCAR	0.5	0.07	0.67	0.85	-0.34	0.17		-0.03	-0.25	0.75	PCAR
SYM	-0.19	0.71	0.24	0.18	-0.33	-0.23	-0.03		-0.47	0.24	SYM
FAST	0.35	-0.69	-0.61	-0.38	0.82	0.31	-0.25	-0.47		-0.71	FAST
ROK	0.02	0.49	0.85	0.73	-0.82	-0.19	0.75	0.24	-0.71		ROK
	GWW	FERG	AME	DAL	PAYX	WCN	PCAR	SYM	FAST	ROK

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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

ROK	+ 0.85	AME
PCAR	+ 0.85	DAL
FAST	+ 0.82	PAYX
ROK	+ 0.75	PCAR
ROK	+ 0.73	DAL
SYM	+ 0.71	FERG

High negative correlations

ROK	- 0.82	PAYX
PAYX	- 0.72	AME
ROK	- 0.71	FAST
FAST	- 0.69	FERG
FAST	- 0.61	AME
PAYX	- 0.61	FERG

Risk-Adjusted Indicators

There is a big difference between Ferrovial Stock performing well and Ferrovial 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 Ferrovial'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
GWW	0.94	(0.05)	(0.05)	0.01	1.08	(1.06)	2.59	(1.87)	5.25
FERG	1.52	(0.09)	(0.02)	0.01	2.43	(1.42)	2.34	(3.05)	15.98
AME	0.98	0.02	0.01	0.09	0.85	(1.34)	2.31	(1.65)	9.36
DAL	1.92	0.12	0.08	0.14	2.06	(2.11)	4.34	(3.72)	9.73
PAYX	0.90	(0.27)	0.00	(0.34)	0.00	0.00	2.00	(2.17)	7.48
WCN	0.89	(0.06)	0.00	(0.27)	0.00	0.00	1.79	(1.64)	5.97
PCAR	1.32	0.07	0.06	0.13	1.14	(1.66)	3.93	(1.95)	7.60
SYM	5.37	0.35	0.08	0.15	6.46	(5.84)	11.30	(10.11)	60.87
FAST	1.07	(0.21)	0.00	(0.31)	0.00	0.00	1.83	(2.00)	9.37
ROK	1.10	0.13	0.12	0.16	1.10	(1.24)	2.40	(1.60)	8.52

Ferrovial Corporate Management

Carlos Paredes	Chief Officer	Profile
Dimitris Bountolos	Chief Officer	Profile
Geerte Hesen	Chief Counsel	Profile
Ignacio Pino	Chief Officer	Profile

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