Moog Correlations

MOG-B Preferred Stock

USD 214.95 0.28 0.13%

The current 90-days correlation between Moog Inc and Curtiss Wright is 0.35 (i.e., Weak diversification). The correlation of Moog 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.

Moog Correlation With Market

Weak diversification

The correlation between Moog Inc and DJI is 0.35 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Moog Inc and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with Moog Preferred Stock

0.65	NVDA	NVIDIA	Pair Corr
0.71	AMZN	Amazon Inc Aggressive Push	Pair Corr
0.74	BMYMP	Bristol Myers Squibb	Pair Corr
0.65	GOOG	Alphabet Class C Sell-off Trend	Pair Corr
0.68	EBON	Ebang International Upward Rally	Pair Corr
0.78	SFM	Sprouts Farmers Market	Pair Corr
0.82	PLTR	Palantir Technologies Aggressive Push	Pair Corr
0.8	ZION	Zions Bancorporation Fiscal Year End 27th of January 2025	Pair Corr
0.64	GLW	Corning Incorporated	Pair Corr
0.8	MSTR	MicroStrategy Incorporated	Pair Corr
0.67	WULF	Terawulf Buyout Trend	Pair Corr
0.78	EGHT	8x8 Common Stock	Pair Corr
0.66	NYMTM	New York Mortgage	Pair Corr
0.82	USFD	US Foods Holding	Pair Corr
0.71	UVSP	Univest Pennsylvania Fiscal Year End 22nd of January 2025	Pair Corr
0.67	BBAI	BigBearai Holdings Buyout Trend	Pair Corr
0.69	VRE	Veris Residential	Pair Corr

Moving against Moog Preferred Stock

0.57	BA	Boeing Fiscal Year End 29th of January 2025	Pair Corr
0.41	RLLCF	Rolls Royce Holdings	Pair Corr
0.41	NOC	Northrop Grumman Fiscal Year End 23rd of January 2025	Pair Corr
0.34	LMT	Lockheed Martin Fiscal Year End 28th of January 2025	Pair Corr
0.32	GD	General Dynamics Fiscal Year End 22nd of January 2025	Pair Corr

Related Correlations Analysis

	CW	MRCY	HXL	WWD	KAMN	PKE	ISSC	CDRE	DCO
CW		0.43	0.15	0.63	0.76	0.81	0.75	-0.15	0.41	CW
MRCY	0.43		0.08	0.78	0.44	0.5	0.39	-0.49	0.82	MRCY
HXL	0.15	0.08		0.28	0.11	0.29	0.13	0.18	0.24	HXL
WWD	0.63	0.78	0.28		0.68	0.61	0.45	-0.44	0.73	WWD
KAMN	0.76	0.44	0.11	0.68		0.78	0.73	-0.55	0.37	KAMN
PKE	0.81	0.5	0.29	0.61	0.78		0.9	-0.48	0.41	PKE
ISSC	0.75	0.39	0.13	0.45	0.73	0.9		-0.51	0.24	ISSC
CDRE	-0.15	-0.49	0.18	-0.44	-0.55	-0.48	-0.51		-0.2	CDRE
DCO	0.41	0.82	0.24	0.73	0.37	0.41	0.24	-0.2		DCO
	CW	MRCY	HXL	WWD	KAMN	PKE	ISSC	CDRE	DCO

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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

ISSC	+ 0.9	PKE
DCO	+ 0.82	MRCY
PKE	+ 0.81	CW
WWD	+ 0.78	MRCY
PKE	+ 0.78	KAMN
KAMN	+ 0.76	CW

High negative correlations

CDRE	- 0.55	KAMN
CDRE	- 0.51	ISSC
CDRE	- 0.49	MRCY
CDRE	- 0.48	PKE
CDRE	- 0.44	WWD
DCO	- 0.2	CDRE

Risk-Adjusted Indicators

There is a big difference between Moog Preferred Stock performing well and Moog 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 Moog'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
CW	1.23	0.09	0.08	0.19	1.68	(1.38)	2.96	(2.48)	11.02
MRCY	1.74	(0.19)	0.04	0.06	1.70	(2.19)	2.83	(3.14)	29.10
HXL	1.18	(0.17)	(0.07)	0.01	1.62	(1.14)	2.35	(2.66)	6.19
WWD	1.23	(0.01)	0.01	0.12	1.60	(1.21)	2.58	(2.76)	8.86
KAMN	1.85	0.07	0.00	0.29	2.21	(1.87)	5.37	(3.75)	14.48
PKE	1.28	0.00	0.07	0.13	1.01	(1.66)	2.61	(2.02)	12.34
ISSC	1.30	0.07	0.01	0.23	1.53	(1.39)	3.28	(3.31)	9.31
CDRE	1.60	(0.29)	0.00	(0.04)	0.00	0.00	3.06	(4.24)	13.54
DCO	1.34	(0.16)	(0.04)	0.04	1.54	(1.49)	2.90	(2.30)	8.32

Be your own money manager

Our tools can tell you how much better you can do entering a position in Moog 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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