Builders FirstSource Correlations

BLDR Stock

USD 103.43 0.60 0.58%

The current 90-days correlation between Builders FirstSource and Masco is 0.66 (i.e., Poor diversification). The correlation of Builders FirstSource 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.

Builders FirstSource Correlation With Market

Very weak diversification

The correlation between Builders FirstSource and DJI is 0.54 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Builders FirstSource and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Builders Stock

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Builders FirstSource. 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 Builders Stock, please use our How to Invest in Builders FirstSource guide.

Moving together with Builders Stock

0.84	OC	Owens Corning	Pair Corr
0.8	002918	Monalisa Group	Pair Corr
0.72	AOS	Smith AO	Pair Corr
0.67	APT	Alpha Pro Tech	Pair Corr
0.89	AWI	Armstrong World Indu	Pair Corr
0.86	LII	Lennox International	Pair Corr
0.85	MAS	Masco	Pair Corr
0.61	SSD	Simpson Manufacturing	Pair Corr
0.86	WXM	WF International	Pair Corr
0.61	200055	China Fangda Group	Pair Corr
0.86	JCTC	Jewett Cameron Trading	Pair Corr
0.89	JELD	Jeld Wen Holding	Pair Corr

Moving against Builders Stock

0.72	JCI	Johnson Controls Int	Pair Corr
0.52	002791	Guangdong Kinlong	Pair Corr
0.46	CSW	CSW Industrials, Symbol Change	Pair Corr
0.31	MPP	Metro Performance Glass	Pair Corr
0.81	603828	Suzhou Kelida Bldg	Pair Corr
0.75	300093	Gansu Golden Glass	Pair Corr
0.64	EMB	Embelton	Pair Corr
0.62	NXR	Norcros Plc	Pair Corr
0.48	WMS	Advanced Drainage Systems	Pair Corr
0.47	000619	Wuhu Conch Profiles	Pair Corr
0.32	600202	Harbin Air Conditioning	Pair Corr
0.83	002372	Zhejiang Weixing New	Pair Corr
0.65	301010	Jiangsu Jingxue Insu	Pair Corr

Related Correlations Analysis

	MAS	BLD	CSL	WMS	OC	HII	WCC	STN	LECO	STRL
MAS		-0.2	0.7	-0.39	0.91	-0.63	-0.78	0.53	0.37	0.15	MAS
BLD	-0.2		0.12	0.55	-0.41	0.34	0.4	-0.16	0.48	0.01	BLD
CSL	0.7	0.12		-0.13	0.66	-0.08	-0.35	0.32	0.68	0.14	CSL
WMS	-0.39	0.55	-0.13		-0.63	0.63	0.73	-0.69	0.41	-0.42	WMS
OC	0.91	-0.41	0.66	-0.63		-0.65	-0.79	0.63	0.19	0.28	OC
HII	-0.63	0.34	-0.08	0.63	-0.65		0.8	-0.64	0.28	-0.33	HII
WCC	-0.78	0.4	-0.35	0.73	-0.79	0.8		-0.69	0.12	-0.24	WCC
STN	0.53	-0.16	0.32	-0.69	0.63	-0.64	-0.69		-0.23	0.78	STN
LECO	0.37	0.48	0.68	0.41	0.19	0.28	0.12	-0.23		-0.3	LECO
STRL	0.15	0.01	0.14	-0.42	0.28	-0.33	-0.24	0.78	-0.3		STRL
	MAS	BLD	CSL	WMS	OC	HII	WCC	STN	LECO	STRL

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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

OC	+ 0.91	MAS
WCC	+ 0.8	HII
STRL	+ 0.78	STN
WCC	+ 0.73	WMS
CSL	+ 0.7	MAS
LECO	+ 0.68	CSL

High negative correlations

WCC	- 0.79	OC
WCC	- 0.78	MAS
STN	- 0.69	WCC
STN	- 0.69	WMS
HII	- 0.65	OC
STN	- 0.64	HII

Risk-Adjusted Indicators

There is a big difference between Builders Stock performing well and Builders FirstSource 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 Builders FirstSource'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
MAS	1.17	(0.23)	0.00	(0.11)	0.00	0.00	2.59	(2.26)	7.94
BLD	1.60	0.02	0.03	0.08	1.62	(1.77)	4.15	(3.15)	13.76
CSL	1.12	(0.10)	(0.04)	(0.01)	1.72	(0.98)	2.04	(2.72)	6.10
WMS	1.40	(0.02)	0.00	0.05	1.62	(1.51)	3.25	(2.71)	11.59
OC	1.45	(0.38)	0.00	(0.51)	0.00	0.00	2.49	(2.84)	12.01
HII	1.48	0.32	0.20	0.35	1.27	(1.66)	3.71	(2.39)	10.50
WCC	1.83	0.19	0.10	0.17	2.19	(1.90)	3.54	(3.47)	16.49
STN	1.08	(0.25)	0.00	(0.13)	0.00	0.00	1.75	(2.28)	8.69
LECO	1.16	(0.04)	0.00	0.04	1.57	(1.17)	2.34	(2.84)	6.56
STRL	3.07	(0.40)	0.00	(0.05)	0.00	0.00	6.61	(7.47)	21.66

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