Cabot Correlations

CBT Stock

USD 67.05 0.77 1.16%

The correlation of Cabot 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.

Cabot Correlation With Market

Very weak diversification

The correlation between Cabot and DJI is 0.42 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Cabot and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Cabot Stock

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Cabot. 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 labor statistics.

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

Moving together with Cabot Stock

0.65	LYB	LyondellBasell Industries	Pair Corr
0.84	OEC	Orion Engineered Carbons	Pair Corr
0.89	OLN	Olin	Pair Corr
0.69	PCT	Purecycle Technologies	Pair Corr
0.64	VVV	Valvoline	Pair Corr
0.92	HWKN	Hawkins	Pair Corr

Moving against Cabot Stock

0.7	002497	Sichuan Yahua Industrial	Pair Corr
0.67	603077	Sichuan Hebang Biote	Pair Corr
0.64	600141	Hubei Xingfa Chemicals	Pair Corr
0.47	BAK	Braskem SA Class	Pair Corr
0.41	002493	Rongsheng Petrochemical	Pair Corr
0.38	002125	Xiangtan Electrochemical	Pair Corr
0.35	300927	Nantong JiangTian	Pair Corr
0.35	600301	Nanning Chemical Industry	Pair Corr
0.32	300478	Hangzhou Gaoxin Rubber	Pair Corr
0.82	002407	Do Fluoride Chemicals	Pair Corr
0.74	301059	Jinsanjiang Silicon	Pair Corr
0.71	002709	Guangzhou Tinci Materials	Pair Corr
0.65	000973	FSPG Hi Tech	Pair Corr
0.63	002768	Qingdao Gon Technology	Pair Corr
0.58	600346	Hengli Petrochemical	Pair Corr
0.57	000635	Ningxia Younglight	Pair Corr
0.56	SOLS	Solstice Advanced Symbol Change	Pair Corr
0.54	301092	Zhejiang Zhengguang	Pair Corr
0.53	000949	Xinxiang Chemical Fiber	Pair Corr
0.48	002442	Longxing Chemical Stock	Pair Corr
0.47	AGTT	Angstrom Technologies	Pair Corr
0.38	CHE-UN	Chemtrade Logistics	Pair Corr

Related Correlations Analysis

	PRM	SSL	FUL	SXT	AVNT	CE	KNF	HWKN	WDFC	MEOH
PRM		0.38	0.12	0.28	-0.38	-0.02	0.71	-0.68	0.34	0.33	PRM
SSL	0.38		-0.33	0.01	-0.58	-0.35	0.16	-0.64	0.25	0.04	SSL
FUL	0.12	-0.33		0.49	0.68	0.66	0.2	0.39	0.57	0.42	FUL
SXT	0.28	0.01	0.49		0.05	0.11	0.27	-0.12	0.51	-0.06	SXT
AVNT	-0.38	-0.58	0.68	0.05		0.62	-0.2	0.73	0.08	0.28	AVNT
CE	-0.02	-0.35	0.66	0.11	0.62		0.18	0.58	0.19	0.55	CE
KNF	0.71	0.16	0.2	0.27	-0.2	0.18		-0.27	0.21	0.53	KNF
HWKN	-0.68	-0.64	0.39	-0.12	0.73	0.58	-0.27		-0.22	0.16	HWKN
WDFC	0.34	0.25	0.57	0.51	0.08	0.19	0.21	-0.22		0.24	WDFC
MEOH	0.33	0.04	0.42	-0.06	0.28	0.55	0.53	0.16	0.24		MEOH
	PRM	SSL	FUL	SXT	AVNT	CE	KNF	HWKN	WDFC	MEOH

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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

HWKN	+ 0.73	AVNT
KNF	+ 0.71	PRM
AVNT	+ 0.68	FUL
CE	+ 0.66	FUL
CE	+ 0.62	AVNT
HWKN	+ 0.58	CE

High negative correlations

HWKN	- 0.68	PRM
HWKN	- 0.64	SSL
AVNT	- 0.58	SSL
AVNT	- 0.38	PRM
CE	- 0.35	SSL
FUL	- 0.33	SSL

Risk-Adjusted Indicators

There is a big difference between Cabot Stock performing well and Cabot 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 Cabot'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
PRM	2.02	0.31	0.11	0.40	2.32	(2.15)	3.86	(3.23)	30.19
SSL	2.12	0.11	0.03	0.24	2.73	(2.15)	3.56	(4.06)	24.15
FUL	1.06	(0.02)	(0.02)	0.03	1.22	(1.21)	3.01	(2.12)	6.81
SXT	1.34	(0.04)	(0.03)	0.01	1.67	(1.44)	2.93	(2.52)	9.55
AVNT	1.31	(0.12)	0.00	(0.03)	0.00	0.00	2.87	(2.88)	8.87
CE	2.41	0.01	0.01	0.06	2.89	(2.52)	6.75	(5.28)	19.88
KNF	1.66	(0.13)	0.00	(0.06)	0.00	0.00	3.40	(3.09)	12.16
HWKN	1.79	(0.41)	0.00	(0.21)	0.00	0.00	2.81	(4.45)	12.35
WDFC	1.17	(0.02)	(0.03)	0.01	1.56	(1.22)	2.77	(1.95)	8.81
MEOH	1.86	0.03	(0.01)	0.53	2.06	(2.16)	3.38	(3.59)	21.41

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