Callan JMB Correlations

CJMB Stock

1.39 0.03 2.21%

The current 90-days correlation between Callan JMB Common and TOMI Environmental Solutions is -0.21 (i.e., Very 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

Good diversification

The correlation between Callan JMB Common and DJI is -0.04 (i.e., Good 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

0.81	GVH	Globavend Holdings	Pair Corr
0.66	002468	STO Express	Pair Corr
0.84	HKPD	Hong Kong Pharma	Pair Corr
0.73	002245	Jiangsu Aucksun	Pair Corr
0.72	002352	SF Holding	Pair Corr
0.71	000099	Citic Offshore Helicopter	Pair Corr
0.61	002120	YUNDA Holding	Pair Corr
0.65	300873	Hichain Logistics	Pair Corr
0.65	300240	Jiangsu Feiliks Intl	Pair Corr

Moving against Callan Stock

0.89	HUBG	Hub Group	Pair Corr
0.77	EXPD	Expeditors International	Pair Corr
0.76	ZTO	ZTO Express	Pair Corr
0.74	FDX	FedEx	Pair Corr
0.68	UPS	United Parcel Service	Pair Corr
0.68	TTNM	Titanium Transportation	Pair Corr
0.66	002889	Shenzhen Easttop Supply	Pair Corr
0.64	FWRD	Forward Air	Pair Corr
0.64	002769	Shenzhen Prolto Supply	Pair Corr
0.6	XPO	XPO Logistics	Pair Corr
0.53	WJL	Webjet Group	Pair Corr
0.85	UPS	UPS CDR	Pair Corr
0.82	RLGT	Radiant Logistics	Pair Corr
0.71	CHRW	CH Robinson Worldwide	Pair Corr
0.65	CLX	Cti Logistics	Pair Corr
0.57	603967	China Master Logistics	Pair Corr
0.54	300350	HPF Co	Pair Corr
0.52	600057	Xiamen Xiangyu	Pair Corr
0.32	FRW	Freightways Group	Pair Corr
0.31	601156	Eastern Air Logistics	Pair Corr

Related Correlations Analysis

	TOMZ	PSIG	MTEN	LSH	HKPD	CAPT	NCEW	ELPW	GTEC	JYD
TOMZ		-0.44	0.88	0.82	0.78	0.52	0.26	0.05	0.76	0.75	TOMZ
PSIG	-0.44		-0.42	-0.57	-0.52	-0.39	0.17	-0.07	-0.28	-0.4	PSIG
MTEN	0.88	-0.42		0.84	0.85	0.65	0.14	0.03	0.81	0.69	MTEN
LSH	0.82	-0.57	0.84		0.78	0.48	0.19	0.21	0.56	0.77	LSH
HKPD	0.78	-0.52	0.85	0.78		0.69	-0.13	-0.05	0.72	0.45	HKPD
CAPT	0.52	-0.39	0.65	0.48	0.69		-0.44	-0.24	0.72	0.27	CAPT
NCEW	0.26	0.17	0.14	0.19	-0.13	-0.44		0.42	-0.05	0.48	NCEW
ELPW	0.05	-0.07	0.03	0.21	-0.05	-0.24	0.42		-0.24	0.35	ELPW
GTEC	0.76	-0.28	0.81	0.56	0.72	0.72	-0.05	-0.24		0.48	GTEC
JYD	0.75	-0.4	0.69	0.77	0.45	0.27	0.48	0.35	0.48		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

MTEN	+ 0.88	TOMZ
HKPD	+ 0.85	MTEN
LSH	+ 0.84	MTEN
LSH	+ 0.82	TOMZ
GTEC	+ 0.81	MTEN
HKPD	+ 0.78	TOMZ

High negative correlations

LSH	- 0.57	PSIG
HKPD	- 0.52	PSIG
NCEW	- 0.44	CAPT
PSIG	- 0.44	TOMZ
MTEN	- 0.42	PSIG
JYD	- 0.4	PSIG

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	2.07	(0.40)	0.00	(2.21)	0.00	0.00	3.85	(5.00)	16.23
PSIG	3.33	0.25	0.05	0.22	4.20	(3.69)	10.03	(6.09)	46.62
MTEN	6.17	(2.61)	0.00	1.76	0.00	0.00	11.11	(13.51)	51.00
LSH	3.61	(0.41)	0.00	(0.84)	0.00	0.00	8.27	(5.56)	24.89
HKPD	4.24	(0.93)	0.00	(7.16)	0.00	0.00	6.67	(9.56)	65.54
CAPT	5.86	(1.26)	0.00	(0.70)	0.00	0.00	12.82	(16.33)	55.26
NCEW	4.47	0.49	0.06	(0.35)	5.47	(4.89)	12.00	(8.43)	37.91
ELPW	31.88	15.72	1.52	(1.03)	6.42	(72.46)	12.50	(16.28)	70.71
GTEC	3.77	(0.51)	0.00	1.17	0.00	0.00	7.53	(8.82)	20.64
JYD	4.43	(1.08)	0.00	(0.49)	0.00	0.00	10.87	(11.59)	28.46

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