Callan JMB Correlations

CJMB Stock

3.03 0.28 8.46%

The current 90-days correlation between Callan JMB Common and TOMI Environmental Solutions is -0.1 (i.e., Good diversification). The correlation of Callan JMB 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.

Callan JMB Correlation With Market

Significant diversification

The correlation between Callan JMB Common and DJI is 0.05 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Callan JMB Common and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Callan Stock

Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Callan JMB Common. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in industry.

Moving together with Callan Stock

0.84	HSP	Hargreaves Services Plc	Pair Corr
0.88	JYD	Jayud Global Logistics Upward Rally	Pair Corr
0.8	FWRD	Forward Air	Pair Corr
0.63	LDG	Logistics Development	Pair Corr
0.75	002468	STO Express	Pair Corr
0.75	000099	Citic Offshore Helicopter	Pair Corr
0.72	PATINTLOG	Patel Integrated Log	Pair Corr
0.66	001317	San Yang Ma	Pair Corr

Moving against Callan Stock

0.83	FDX	FedEx	Pair Corr
0.77	001228	Yongtaiyun Chemical	Pair Corr
0.77	UPS	United Parcel Service	Pair Corr
0.63	EXPD	Expeditors International	Pair Corr
0.41	603329	Shanghai Ace InvestDvlp	Pair Corr
0.65	002769	Shenzhen Prolto Supply	Pair Corr
0.36	001202	Guangdong Jushen Log	Pair Corr
0.31	ZTO	ZTO Express	Pair Corr
0.84	600057	Xiamen Xiangyu	Pair Corr
0.62	603967	China Master Logistics	Pair Corr
0.61	CLX	Cti Logistics	Pair Corr
0.59	FSC	Future Supply Chain	Pair Corr
0.51	300013	Jiangsu Xinning Modern	Pair Corr
0.36	002800	Xinjiang Tianshun Supply	Pair Corr
0.34	KSC	K S Corporation	Pair Corr

Related Correlations Analysis

	TOMZ	PSIG	MTEN	LSH	HKPD	CAPT	NCEW	ELPW	GTEC	JYD
TOMZ		0.15	0.0	0.76	0.39	-0.17	0.53	0.61	0.31	0.27	TOMZ
PSIG	0.15		-0.31	0.24	0.13	-0.38	-0.16	-0.02	-0.18	-0.42	PSIG
MTEN	0.0	-0.31		-0.13	0.3	0.85	0.64	0.13	0.78	0.86	MTEN
LSH	0.76	0.24	-0.13		0.28	-0.21	0.34	0.63	0.11	0.09	LSH
HKPD	0.39	0.13	0.3	0.28		0.06	0.45	0.21	0.42	0.3	HKPD
CAPT	-0.17	-0.38	0.85	-0.21	0.06		0.42	0.02	0.72	0.73	CAPT
NCEW	0.53	-0.16	0.64	0.34	0.45	0.42		0.63	0.73	0.81	NCEW
ELPW	0.61	-0.02	0.13	0.63	0.21	0.02	0.63		0.36	0.41	ELPW
GTEC	0.31	-0.18	0.78	0.11	0.42	0.72	0.73	0.36		0.85	GTEC
JYD	0.27	-0.42	0.86	0.09	0.3	0.73	0.81	0.41	0.85		JYD
	TOMZ	PSIG	MTEN	LSH	HKPD	CAPT	NCEW	ELPW	GTEC	JYD

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

JYD	+ 0.86	MTEN
CAPT	+ 0.85	MTEN
JYD	+ 0.85	GTEC
JYD	+ 0.81	NCEW
GTEC	+ 0.78	MTEN
LSH	+ 0.76	TOMZ

High negative correlations

JYD	- 0.42	PSIG
CAPT	- 0.38	PSIG
MTEN	- 0.31	PSIG
CAPT	- 0.21	LSH
GTEC	- 0.18	PSIG
CAPT	- 0.17	TOMZ

Risk-Adjusted Indicators

There is a big difference between Callan Stock performing well and Callan JMB 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 Callan JMB'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
TOMZ	2.95	0.03	0.01	0.07	3.17	(4.14)	7.69	(5.26)	31.16
PSIG	4.20	0.61	0.11	0.28	4.87	(4.89)	10.03	(7.04)	46.62
MTEN	5.70	(2.33)	0.00	(19.37)	0.00	0.00	8.38	(14.31)	61.35
LSH	4.08	0.24	0.04	(1.56)	4.10	(5.23)	8.57	(7.25)	42.05
HKPD	5.85	0.39	0.05	0.47	7.03	(7.33)	12.26	(12.64)	65.54
CAPT	5.31	(0.36)	0.00	0.50	0.00	0.00	9.64	(12.09)	44.09
NCEW	3.45	(0.32)	0.00	(0.35)	0.00	0.00	4.13	(6.25)	51.31
ELPW	5.46	(0.44)	0.00	(0.29)	0.00	0.00	11.11	(13.33)	69.17
GTEC	3.12	(0.35)	0.00	(0.11)	0.00	0.00	7.75	(7.35)	18.58
JYD	4.89	(1.16)	0.00	(0.68)	0.00	0.00	12.58	(12.59)	35.90

Callan JMB Corporate Management

Scott Bullard	Chief Officer	Profile
Christopher Shields	Senior Affairs	Profile
Shannon Badger	Interim Officer	Profile
Jeffrey Appleman	Interim Officer	Profile
David MD	Chief Officer	Profile

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