Minerals Technologies Correlations

MTX Stock

USD 61.94 0.40 0.65%

The current 90-days correlation between Minerals Technologies and Innospec is 0.58 (i.e., Very weak diversification). The correlation of Minerals Technologies 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.

Minerals Technologies Correlation With Market

Very weak diversification

The correlation between Minerals Technologies and DJI is 0.41 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Minerals Technologies and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Minerals Stock

Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Minerals Technologies. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in population.

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

Moving together with Minerals Stock

0.66	NEU	NewMarket	Pair Corr
0.78	PPG	PPG Industries	Pair Corr
0.78	RPM	RPM International	Pair Corr
0.63	603027	Qianhe CondimentFood Split	Pair Corr
0.76	SYNT	Synthomer plc	Pair Corr
0.71	NGVT	Ingevity Corp	Pair Corr
0.67	AVNT	Avient Corp	Pair Corr

Moving against Minerals Stock

0.78	002054	Dymatic Chemicals	Pair Corr
0.63	300073	Beijing Easpring Material	Pair Corr
0.54	600691	Yangmei Chemical	Pair Corr
0.54	002476	Shandong Polymer Bio	Pair Corr
0.42	ALB	Albemarle Corp	Pair Corr
0.41	002909	Guangzhou Jointas	Pair Corr
0.79	001217	Anhui Huaertai Chemical	Pair Corr
0.69	002591	Jiangxi Hengda Hi	Pair Corr
0.63	688021	Aofu Environmental	Pair Corr
0.62	SHG	Shinhan Financial	Pair Corr
0.61	ATCOL	Atlas Corp	Pair Corr
0.59	002250	Lianhe Chemical Tech	Pair Corr
0.52	600985	Huaibei Mining Holdings	Pair Corr
0.43	300261	Aba Chemicals Corp	Pair Corr
0.41	VFS	VinFast Auto	Pair Corr
0.33	002246	North Chemical Industries	Pair Corr

Related Correlations Analysis

	IOSP	CC	NGVT	ASH	FMC	AAUC	KWR	OLN	HUN	ARMN
IOSP		0.84	0.71	0.23	0.61	0.01	0.57	0.72	0.7	-0.12	IOSP
CC	0.84		0.69	-0.18	0.87	-0.2	0.3	0.85	0.49	-0.48	CC
NGVT	0.71	0.69		0.2	0.64	0.22	0.34	0.73	0.51	-0.11	NGVT
ASH	0.23	-0.18	0.2		-0.43	0.69	0.49	-0.16	0.64	0.81	ASH
FMC	0.61	0.87	0.64	-0.43		-0.27	-0.02	0.88	0.21	-0.67	FMC
AAUC	0.01	-0.2	0.22	0.69	-0.27		0.02	0.01	0.39	0.8	AAUC
KWR	0.57	0.3	0.34	0.49	-0.02	0.02		0.1	0.48	0.23	KWR
OLN	0.72	0.85	0.73	-0.16	0.88	0.01	0.1		0.38	-0.38	OLN
HUN	0.7	0.49	0.51	0.64	0.21	0.39	0.48	0.38		0.38	HUN
ARMN	-0.12	-0.48	-0.11	0.81	-0.67	0.8	0.23	-0.38	0.38		ARMN
	IOSP	CC	NGVT	ASH	FMC	AAUC	KWR	OLN	HUN	ARMN

Please upgrade your account to get full access to Macroaxis premium features

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

OLN	+ 0.88	FMC
FMC	+ 0.87	CC
OLN	+ 0.85	CC
CC	+ 0.84	IOSP
ARMN	+ 0.81	ASH
ARMN	+ 0.8	AAUC

High negative correlations

ARMN	- 0.67	FMC
ARMN	- 0.48	CC
FMC	- 0.43	ASH
ARMN	- 0.38	OLN
AAUC	- 0.27	FMC
AAUC	- 0.2	CC

Risk-Adjusted Indicators

There is a big difference between Minerals Stock performing well and Minerals Technologies 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 Minerals Technologies' 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
IOSP	1.08	(0.15)	0.00	(0.09)	0.00	0.00	2.42	(2.51)	6.56
CC	2.65	(0.54)	0.00	(0.11)	0.00	0.00	5.44	(6.22)	13.29
NGVT	1.99	(0.08)	(0.01)	0.02	3.25	(1.97)	3.83	(3.52)	18.74
ASH	1.65	0.09	0.04	0.17	1.81	(1.75)	4.54	(3.09)	12.61
FMC	2.71	(1.39)	0.00	(0.55)	0.00	0.00	3.37	(5.74)	49.47
AAUC	2.75	0.54	0.13	0.38	3.64	(2.82)	6.31	(5.81)	20.85
KWR	1.84	(0.13)	(0.04)	0.00	1.94	(2.25)	4.49	(3.24)	14.63
OLN	2.57	(0.38)	0.00	(0.10)	0.00	0.00	5.79	(4.63)	19.65
HUN	2.68	(0.01)	0.00	0.06	3.41	(2.61)	5.96	(5.66)	15.90
ARMN	2.66	0.70	0.17	0.64	3.21	(2.80)	6.86	(5.88)	15.66

Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions

Feedback Blog

Made with optimal in San Francisco

2025 Macroaxis LLC