Puma SE Correlations

PMMAF Stock

USD 27.94 1.09 4.06%

The current 90-days correlation between Puma SE and Yue Yuen Industrial is 0.03 (i.e., Significant diversification). The correlation of Puma SE 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.

Puma SE Correlation With Market

Very poor diversification

The correlation between Puma SE and DJI is 0.8 (i.e., Very poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Puma SE and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to Puma SE could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Puma SE 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 Puma SE - 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 Puma SE to buy it.

Moving together with Puma Pink Sheet

0.87	DECK	Deckers Outdoor	Pair Corr
0.71	ONON	On Holding	Pair Corr
0.96	PUMSY	PUMA SE	Pair Corr
0.69	CROX	Crocs Inc Earnings Call This Week	Pair Corr
0.84	BNKHF	BOC Hong Kong	Pair Corr
0.63	FCAP	First Capital	Pair Corr
0.66	COMP	Compass Aggressive Push	Pair Corr
0.77	NEWTH	NewtekOne 8625 percent	Pair Corr
0.65	ENS	Enersys Earnings Call Tomorrow	Pair Corr
0.66	MAT	Mattel Inc Earnings Call Today	Pair Corr
0.85	FIBK	First Interstate Ban	Pair Corr
0.71	JUPGF	Jupiter Gold	Pair Corr
0.86	CRH	CRH PLC ADR Sell-off Trend	Pair Corr

Moving against Puma Pink Sheet

0.7	BROGF	BROGF	Pair Corr
0.32	RVSN	Rail Vision	Pair Corr

Related Correlations Analysis

	YUEIY	HUGPF	SMSEY	YUEIF	MRPLY	SMSOF	SMTUF	BOSSY	NGCRF	BVILF
YUEIY		-0.65	0.78	0.42	-0.45	0.4	-0.12	-0.31	-0.66	0.42	YUEIY
HUGPF	-0.65		-0.55	-0.52	0.46	-0.19	0.2	0.26	0.61	-0.59	HUGPF
SMSEY	0.78	-0.55		0.53	-0.48	0.62	-0.01	-0.22	-0.65	0.46	SMSEY
YUEIF	0.42	-0.52	0.53		-0.69	0.27	-0.21	-0.02	-0.81	0.8	YUEIF
MRPLY	-0.45	0.46	-0.48	-0.69		-0.39	0.01	0.08	0.72	-0.64	MRPLY
SMSOF	0.4	-0.19	0.62	0.27	-0.39		0.08	-0.19	-0.34	0.17	SMSOF
SMTUF	-0.12	0.2	-0.01	-0.21	0.01	0.08		0.09	0.2	-0.28	SMTUF
BOSSY	-0.31	0.26	-0.22	-0.02	0.08	-0.19	0.09		0.18	-0.2	BOSSY
NGCRF	-0.66	0.61	-0.65	-0.81	0.72	-0.34	0.2	0.18		-0.78	NGCRF
BVILF	0.42	-0.59	0.46	0.8	-0.64	0.17	-0.28	-0.2	-0.78		BVILF
	YUEIY	HUGPF	SMSEY	YUEIF	MRPLY	SMSOF	SMTUF	BOSSY	NGCRF	BVILF

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

BVILF	+ 0.8	YUEIF
SMSEY	+ 0.78	YUEIY
NGCRF	+ 0.72	MRPLY
SMSOF	+ 0.62	SMSEY
NGCRF	+ 0.61	HUGPF
YUEIF	+ 0.53	SMSEY

High negative correlations

NGCRF	- 0.81	YUEIF
BVILF	- 0.78	NGCRF
MRPLY	- 0.69	YUEIF
NGCRF	- 0.66	YUEIY
NGCRF	- 0.65	SMSEY
HUGPF	- 0.65	YUEIY

Risk-Adjusted Indicators

There is a big difference between Puma Pink Sheet performing well and Puma SE 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 Puma SE'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
YUEIY	2.37	0.48	0.10	(0.83)	2.70	(2.73)	5.24	(4.16)	18.15
HUGPF	0.44	(0.20)	0.00	1.28	0.00	0.00	0.00	(0.73)	10.45
SMSEY	1.78	0.30	0.14	0.81	1.46	(2.21)	4.27	(2.66)	18.71
YUEIF	1.27	0.41	0.00	0.59	0.00	0.00	0.00	0.00	44.29
MRPLY	1.71	(0.19)	0.00	(1.07)	0.00	0.00	3.63	(5.32)	24.88
SMSOF	2.04	0.43	0.00	1.36	0.00	0.00	7.14	0.00	54.91
SMTUF	6.40	0.77	0.00	(1.28)	0.00	0.00	12.83	(16.54)	16.54
BOSSY	1.09	(0.04)	0.00	(0.24)	0.00	0.00	3.17	(2.67)	15.88
NGCRF	1.19	(0.39)	0.00	(2.31)	0.00	0.00	0.00	(2.94)	21.02
BVILF	0.52	0.28	0.00	(1.79)	0.00	0.00	0.00	0.00	12.00

Be your own money manager

Our tools can tell you how much better you can do entering a position in Puma SE 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.

Did you try this?

Run Portfolio Backtesting Now

Portfolio Backtesting

Avoid under-diversification and over-optimization by backtesting your portfolios

All Next

Launch Module

Puma SE Corporate Management

Gottfried Hoppe	Head Strategy	Profile
Abhishek Ganguly	Managing Asia	Profile
Arne Freundt	Chief CEO	Profile
Dietmar Knoess	Global Organization	Profile
Stefan Seidel	Head Sustainability	Profile
Raliza Koleva	Chief Compliance 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

2026 Macroaxis LLC