H M Correlations

HMRZF Stock

USD 14.78 0.83 5.95%

The current 90-days correlation between H M Hennes and Superior Uniform Group is -0.01 (i.e., Good diversification). The correlation of H M 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.

H M Correlation With Market

Good diversification

The correlation between H M Hennes and DJI is -0.06 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding H M Hennes and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to H M could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace H M when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back H M - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling H M Hennes to buy it.

Moving together with HMRZF Pink Sheet

0.85	HNNMY	H M Hennes	Pair Corr
0.72	MONRY	Moncler SpA	Pair Corr
0.73	MONRF	Moncler SpA	Pair Corr
0.77	LEVI	Levi Strauss Fiscal Year End 23rd of January 2025	Pair Corr
0.61	BKRKY	Bank Rakyat	Pair Corr
0.69	PPERY	Bank Mandiri Persero	Pair Corr
0.74	PBCRY	Bank Central Asia	Pair Corr

Moving against HMRZF Pink Sheet

0.5	BSDGY	Bosideng International	Pair Corr
0.44	MBFJF	Mitsubishi UFJ Financial	Pair Corr
0.39	AS	Amer Sports,	Pair Corr
0.34	GIL	Gildan Activewear	Pair Corr
0.78	BOH	Bank of Hawaii Fiscal Year End 27th of January 2025	Pair Corr
0.74	GM	General Motors Aggressive Push	Pair Corr
0.72	JPHLF	Japan Post Holdings	Pair Corr
0.67	TWLO	Twilio Inc	Pair Corr
0.55	WBD	Warner Bros Discovery Aggressive Push	Pair Corr
0.55	RGA	Reinsurance Group	Pair Corr
0.53	IBKR	Interactive Brokers Fiscal Year End 21st of January 2025	Pair Corr
0.52	MZHOF	Mizuho Financial	Pair Corr
0.51	MOG-A	Moog Inc	Pair Corr
0.76	VRSK	Verisk Analytics	Pair Corr
0.71	RBLX	Roblox Corp	Pair Corr
0.66	FIBK	First Interstate Ban Normal Trading	Pair Corr
0.63	LIDRW	AEye Inc	Pair Corr

Related Correlations Analysis

	SGC	LAKE	JRSH	GIII	JXJT	VNCE	OXM	GIL	COLM	KTB
SGC		-0.04	0.68	0.26	-0.66	-0.32	-0.25	0.77	0.56	0.92	SGC
LAKE	-0.04		0.13	-0.63	-0.01	-0.38	0.41	-0.22	0.13	-0.12	LAKE
JRSH	0.68	0.13		0.06	-0.68	-0.58	-0.22	0.6	0.47	0.75	JRSH
GIII	0.26	-0.63	0.06		-0.2	0.29	-0.15	0.24	0.11	0.23	GIII
JXJT	-0.66	-0.01	-0.68	-0.2		0.51	0.43	-0.68	-0.21	-0.64	JXJT
VNCE	-0.32	-0.38	-0.58	0.29	0.51		0.03	-0.25	-0.1	-0.31	VNCE
OXM	-0.25	0.41	-0.22	-0.15	0.43	0.03		-0.61	0.31	-0.4	OXM
GIL	0.77	-0.22	0.6	0.24	-0.68	-0.25	-0.61		0.2	0.86	GIL
COLM	0.56	0.13	0.47	0.11	-0.21	-0.1	0.31	0.2		0.55	COLM
KTB	0.92	-0.12	0.75	0.23	-0.64	-0.31	-0.4	0.86	0.55		KTB
	SGC	LAKE	JRSH	GIII	JXJT	VNCE	OXM	GIL	COLM	KTB

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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

KTB	+ 0.92	SGC
KTB	+ 0.86	GIL
GIL	+ 0.77	SGC
KTB	+ 0.75	JRSH
JRSH	+ 0.68	SGC
GIL	+ 0.6	JRSH

High negative correlations

GIL	- 0.68	JXJT
JXJT	- 0.68	JRSH
JXJT	- 0.66	SGC
KTB	- 0.64	JXJT
GIII	- 0.63	LAKE
GIL	- 0.61	OXM

Risk-Adjusted Indicators

There is a big difference between HMRZF Pink Sheet performing well and H M 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 H M'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
SGC	1.42	0.18	0.12	0.27	1.46	(1.59)	2.88	(2.60)	11.72
LAKE	1.78	(0.16)	0.00	(0.20)	0.00	0.00	4.50	(3.73)	10.40
JRSH	1.00	0.23	0.09	2.77	0.99	(1.34)	2.07	(2.67)	12.64
GIII	2.06	0.14	0.05	0.32	1.96	(2.57)	3.72	(4.17)	26.82
JXJT	3.72	(0.46)	0.00	32.06	0.00	0.00	8.28	(8.94)	31.10
VNCE	2.91	(0.18)	0.00	(0.11)	0.00	0.00	6.29	(7.25)	35.35
OXM	1.49	(0.14)	(0.06)	0.00	1.83	(1.60)	3.18	(3.12)	8.17
GIL	0.75	0.12	0.03	0.63	0.79	(0.78)	1.84	(1.52)	3.82
COLM	1.24	0.03	(0.01)	0.16	1.56	(1.20)	2.53	(2.36)	7.71
KTB	1.48	0.27	0.12	0.61	1.47	(1.67)	3.18	(2.42)	16.49

Be your own money manager

Our tools can tell you how much better you can do entering a position in H M without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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H M Corporate Management

Anna Attemark	Head of New Business	Profile
Fredrik Bjrkstedt	Head Legal	Profile
Madeleine Persson	New Business Officer	Profile
Adam Karlsson	Chief Officer	Profile
Helena Helmersson	Sustainability Officer	Profile
Doris Klein	Head HR	Profile
Nils Vinge	Head of Investor Relations	Profile

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