AP Moeller Correlations

AMKBY Stock

USD 8.65 0.25 2.98%

The current 90-days correlation between AP Moeller Maersk and Hapag Lloyd Aktiengesellschaft is 0.3 (i.e., Weak diversification). The correlation of AP Moeller 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.

AP Moeller Correlation With Market

Average diversification

The correlation between AP Moeller Maersk AS and DJI is 0.16 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding AP Moeller Maersk AS and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with AMKBY Pink Sheet

0.63	HPGLY	Hapag-Lloyd Aktiengesellscha	Pair Corr
0.68	HLAGF	Hapag-Lloyd Aktiengesellscha	Pair Corr
0.86	AMKBF	AP Mller	Pair Corr
0.84	AMKAF	AP Moeller	Pair Corr
0.93	NPNYY	Nippon Yusen Kabushiki	Pair Corr
0.65	GLU	Gabelli Global Utility	Pair Corr
0.74	MCD	McDonalds	Pair Corr

Moving against AMKBY Pink Sheet

0.63	TLK	Telkom Indonesia Tbk	Pair Corr
0.6	BKRKY	Bank Rakyat	Pair Corr
0.57	BBGI	Beasley Broadcast	Pair Corr
0.36	SSNLF	Samsung Electronics	Pair Corr
0.35	PTAIY	Astra International Tbk	Pair Corr
0.71	BAC	Bank of America Aggressive Push	Pair Corr
0.7	AXP	American Express	Pair Corr
0.49	MSFT	Microsoft Aggressive Push	Pair Corr
0.49	JPM	JPMorgan Chase	Pair Corr
0.4	DIS	Walt Disney	Pair Corr
0.4	AA	Alcoa Corp	Pair Corr
0.36	HPQ	HP Inc	Pair Corr
0.31	WMT	Walmart	Pair Corr

Related Correlations Analysis

	HLAGF	NPNYY	CICOY	AMKAF	HPGLY	OROVY	MSLOY	OROVF	HAFNF	GOGL
HLAGF		0.62	0.33	0.55	0.81	0.57	0.59	0.23	0.0	-0.09	HLAGF
NPNYY	0.62		0.12	0.89	0.56	0.3	0.92	-0.09	0.0	-0.26	NPNYY
CICOY	0.33	0.12		0.03	0.47	0.4	0.03	0.31	0.0	-0.07	CICOY
AMKAF	0.55	0.89	0.03		0.51	0.18	0.87	-0.18	0.0	-0.16	AMKAF
HPGLY	0.81	0.56	0.47	0.51		0.49	0.51	0.36	0.0	0.02	HPGLY
OROVY	0.57	0.3	0.4	0.18	0.49		0.23	0.6	0.0	-0.47	OROVY
MSLOY	0.59	0.92	0.03	0.87	0.51	0.23		-0.18	0.0	-0.19	MSLOY
OROVF	0.23	-0.09	0.31	-0.18	0.36	0.6	-0.18		0.0	-0.32	OROVF
HAFNF	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0		0.0	HAFNF
GOGL	-0.09	-0.26	-0.07	-0.16	0.02	-0.47	-0.19	-0.32	0.0		GOGL
	HLAGF	NPNYY	CICOY	AMKAF	HPGLY	OROVY	MSLOY	OROVF	HAFNF	GOGL

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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

MSLOY	+ 0.92	NPNYY
AMKAF	+ 0.89	NPNYY
MSLOY	+ 0.87	AMKAF
HPGLY	+ 0.81	HLAGF
NPNYY	+ 0.62	HLAGF
OROVF	+ 0.6	OROVY

High negative correlations

GOGL	- 0.47	OROVY
GOGL	- 0.32	OROVF
GOGL	- 0.26	NPNYY
GOGL	- 0.19	MSLOY
OROVF	- 0.18	MSLOY
OROVF	- 0.18	AMKAF

Risk-Adjusted Indicators

There is a big difference between AMKBY Pink Sheet performing well and AP Moeller 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 AP Moeller'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
HLAGF	1.68	(0.04)	0.00	(0.22)	0.00	0.00	6.16	(6.35)	17.44
NPNYY	1.10	0.15	0.10	0.46	1.55	(1.21)	2.15	(2.37)	8.24
CICOY	1.62	0.00	0.01	(0.07)	2.34	(1.71)	3.42	(3.59)	9.53
AMKAF	2.20	0.16	0.04	0.29	2.88	(3.32)	6.06	(5.72)	24.07
HPGLY	1.60	(0.07)	0.00	(1.16)	0.00	0.00	5.16	(5.09)	15.55
OROVY	0.89	(0.03)	0.00	0.09	0.00	0.00	3.57	(2.75)	7.89
MSLOY	1.18	0.12	0.09	(0.83)	1.60	(1.17)	2.29	(2.97)	7.67
OROVF	0.50	0.03	0.00	(0.21)	0.00	0.00	2.08	0.00	13.11
HAFNF	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
GOGL	2.04	(0.14)	0.00	0.93	0.00	0.00	4.11	(3.64)	21.36

Be your own money manager

Our tools can tell you how much better you can do entering a position in AP Moeller 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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AP Moeller Corporate Management

Caroline Pontoppidan	Gen VP	Profile
Susana Elvira	Chief Officer	Profile
LarsErik Brenoe	Ex VP	Profile
Signe Wagner	Head Relations	Profile
Sarah Spray	Head Relations	Profile
Soren Skou	CEO CEO	Profile
Patrick Jany	CFO VP	Profile

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