Core Molding Correlations

CMT Stock

USD 18.96 0.14 0.74%

The current 90-days correlation between Core Molding Technologies and Putnam Focused Large is 0.22 (i.e., Modest diversification). The correlation of Core Molding 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.

Core Molding Correlation With Market

Significant diversification

The correlation between Core Molding Technologies and DJI is 0.08 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Core Molding Technologies and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Core Stock

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Core Molding Technologies. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as various price indices.

Moving together with Core Stock

0.67	WLKP	Westlake Chemical	Pair Corr
0.69	LYB	LyondellBasell Industries	Pair Corr
0.65	300320	Jiangyin Haida Rubber	Pair Corr
0.61	600722	HeBei Jinniu Chemical	Pair Corr
0.75	000698	Shenyang Chemical	Pair Corr
0.69	002037	Poly Union Chemical	Pair Corr
0.8	688203	Zhejiang HISUN Bioma	Pair Corr
0.71	688219	Orinko Advanced Plastics	Pair Corr

Moving against Core Stock

0.65	603077	Sichuan Hebang Biote	Pair Corr
0.52	300478	Hangzhou Gaoxin Rubber	Pair Corr
0.46	5EA	5E Advanced Materials	Pair Corr
0.42	600141	Hubei Xingfa Chemicals	Pair Corr
0.4	000949	Xinxiang Chemical Fiber	Pair Corr
0.34	002493	Rongsheng Petrochemical	Pair Corr
0.32	000635	Ningxia Younglight	Pair Corr
0.69	002709	Guangzhou Tinci Materials	Pair Corr
0.6	002895	Guizhou Chanhen Chemical	Pair Corr
0.59	002407	Do Fluoride Chemicals	Pair Corr
0.58	PTAIY	Astra International Tbk	Pair Corr
0.51	000637	Maoming Petro Chemical	Pair Corr
0.4	000973	FSPG Hi Tech	Pair Corr
0.4	000819	Yueyang Xingchang Petro	Pair Corr
0.37	ADVWW	Advantage Solutions	Pair Corr
0.36	000703	Hengyi Petrochemical	Pair Corr
0.36	BKRKF	PT Bank Rakyat	Pair Corr
0.35	600346	Hengli Petrochemical	Pair Corr
0.32	PBCRY	Bank Central Asia	Pair Corr

Related Correlations Analysis

	PVAL	AA	PG	MCD	OGE	ELPC	CSCO	WFC	PFE	VAW
PVAL		0.84	-0.67	0.41	-0.04	0.84	0.84	0.79	0.58	-0.36	PVAL
AA	0.84		-0.72	0.36	0.14	0.66	0.81	0.69	0.45	-0.36	AA
PG	-0.67	-0.72		-0.11	-0.16	-0.6	-0.72	-0.58	-0.42	0.62	PG
MCD	0.41	0.36	-0.11		-0.13	0.24	0.36	0.41	0.11	0.1	MCD
OGE	-0.04	0.14	-0.16	-0.13		-0.14	-0.09	-0.1	0.11	0.14	OGE
ELPC	0.84	0.66	-0.6	0.24	-0.14		0.82	0.72	0.38	-0.67	ELPC
CSCO	0.84	0.81	-0.72	0.36	-0.09	0.82		0.65	0.51	-0.62	CSCO
WFC	0.79	0.69	-0.58	0.41	-0.1	0.72	0.65		0.09	-0.4	WFC
PFE	0.58	0.45	-0.42	0.11	0.11	0.38	0.51	0.09		-0.09	PFE
VAW	-0.36	-0.36	0.62	0.1	0.14	-0.67	-0.62	-0.4	-0.09		VAW
	PVAL	AA	PG	MCD	OGE	ELPC	CSCO	WFC	PFE	VAW

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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

AA	+ 0.84	PVAL
ELPC	+ 0.84	PVAL
CSCO	+ 0.84	PVAL
CSCO	+ 0.82	ELPC
CSCO	+ 0.81	AA
WFC	+ 0.79	PVAL

High negative correlations

CSCO	- 0.72	PG
PG	- 0.72	AA
VAW	- 0.67	ELPC
PG	- 0.67	PVAL
VAW	- 0.62	CSCO
ELPC	- 0.6	PG

Risk-Adjusted Indicators

There is a big difference between Core Stock performing well and Core Molding 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 Core Molding'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
PVAL	0.49	0.04	0.05	0.11	0.52	(0.52)	1.17	(1.12)	3.04
AA	2.66	0.53	0.18	1.20	2.51	(3.13)	6.55	(4.82)	18.14
PG	0.81	(0.23)	0.00	(1.18)	0.00	0.00	1.45	(1.88)	4.70
MCD	0.79	(0.04)	(0.06)	(0.01)	1.05	(0.78)	1.82	(1.64)	4.64
OGE	0.77	(0.05)	0.00	(0.22)	0.00	0.00	1.43	(1.72)	3.78
ELPC	1.59	0.23	0.07	0.45	2.35	(1.65)	3.05	(3.94)	13.30
CSCO	1.00	0.25	0.15	0.72	1.03	(1.07)	1.94	(1.78)	8.39
WFC	1.05	0.12	0.09	0.16	1.24	(1.10)	2.31	(2.09)	9.99
PFE	1.21	0.01	0.01	0.07	1.39	(1.29)	2.62	(2.25)	10.28
VAW	0.79	(0.13)	0.00	(0.07)	0.00	0.00	1.57	(1.58)	4.01

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