Post Holdings Correlations

POST Stock

USD 106.58 0.86 0.80%

The current 90-days correlation between Post Holdings and Simply Good Foods is 0.52 (i.e., Very weak diversification). The correlation of Post Holdings 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.

Post Holdings Correlation With Market

Weak diversification

The correlation between Post Holdings 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 Post Holdings and DJI in the same portfolio, assuming nothing else is changed.

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Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Post Holdings. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in state.

For more information on how to buy Post Stock please use our How to Invest in Post Holdings guide.

Moving together with Post Stock

0.63	IMG	CIMG Inc Symbol Change	Pair Corr
0.73	TSN	Tyson Foods	Pair Corr
0.7	PAVS	Paranovus Entertainment	Pair Corr
0.72	JZ	Jianzhi Education	Pair Corr

Moving against Post Stock

0.69	EL	Estee Lauder Companies Earnings Call Tomorrow	Pair Corr
0.67	SFD	Smithfield Foods, Common	Pair Corr
0.61	RKDA	Arcadia Biosciences	Pair Corr
0.58	OTLY	Oatly Group AB	Pair Corr
0.5	RMCF	Rocky Mountain Chocolate	Pair Corr
0.48	DG	Dollar General	Pair Corr
0.47	INGR	Ingredion Incorporated	Pair Corr
0.4	VITL	Vital Farms	Pair Corr
0.37	BUD	Anheuser Busch Inbev	Pair Corr
0.32	WEST	Westrock Coffee	Pair Corr
0.74	YQ	17 Education Technology	Pair Corr
0.72	FEDU	Four Seasons Education	Pair Corr
0.71	DLTR	Dollar Tree	Pair Corr
0.68	WILC	G Willi Food	Pair Corr
0.64	TR	Tootsie Roll Industries Earnings Call This Week	Pair Corr
0.6	IH	Ihuman Inc Trending	Pair Corr
0.55	CENTA	Central Garden Pet	Pair Corr
0.54	PM	Philip Morris Intern Earnings Call This Week	Pair Corr
0.53	EWCZ	European Wax Center	Pair Corr
0.49	DTCK	Davis Commodities	Pair Corr

Related Correlations Analysis

	SMPL	THS	JJSF	CENTA	BRBR	SENEB	LANC	HAIN	UTZ	JBSS
SMPL		0.82	0.61	-0.24	0.81	-0.81	0.54	0.74	-0.17	0.03	SMPL
THS	0.82		0.42	-0.36	0.67	-0.71	0.33	0.61	-0.27	-0.13	THS
JJSF	0.61	0.42		-0.2	0.85	-0.61	0.33	0.88	0.22	0.66	JJSF
CENTA	-0.24	-0.36	-0.2		-0.44	0.6	-0.18	-0.36	0.46	0.3	CENTA
BRBR	0.81	0.67	0.85	-0.44		-0.86	0.41	0.94	-0.08	0.28	BRBR
SENEB	-0.81	-0.71	-0.61	0.6	-0.86		-0.44	-0.79	0.23	0.03	SENEB
LANC	0.54	0.33	0.33	-0.18	0.41	-0.44		0.28	-0.31	-0.03	LANC
HAIN	0.74	0.61	0.88	-0.36	0.94	-0.79	0.28		0.02	0.39	HAIN
UTZ	-0.17	-0.27	0.22	0.46	-0.08	0.23	-0.31	0.02		0.67	UTZ
JBSS	0.03	-0.13	0.66	0.3	0.28	0.03	-0.03	0.39	0.67		JBSS
	SMPL	THS	JJSF	CENTA	BRBR	SENEB	LANC	HAIN	UTZ	JBSS

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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

HAIN	+ 0.94	BRBR
HAIN	+ 0.88	JJSF
BRBR	+ 0.85	JJSF
THS	+ 0.82	SMPL
BRBR	+ 0.81	SMPL
HAIN	+ 0.74	SMPL

High negative correlations

SENEB	- 0.86	BRBR
SENEB	- 0.81	SMPL
HAIN	- 0.79	SENEB
SENEB	- 0.71	THS
SENEB	- 0.61	JJSF
LANC	- 0.44	SENEB

Risk-Adjusted Indicators

There is a big difference between Post Stock performing well and Post Holdings 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 Post Holdings' 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
SMPL	1.27	(0.31)	0.00	(0.25)	0.00	0.00	2.25	(3.00)	6.72
THS	1.95	(0.38)	0.00	(0.17)	0.00	0.00	3.31	(5.77)	14.38
JJSF	1.60	(0.33)	0.00	(0.30)	0.00	0.00	2.65	(3.01)	14.87
CENTA	1.43	0.04	0.02	0.17	1.81	(1.42)	2.60	(2.99)	12.97
BRBR	1.93	(0.56)	0.00	(0.21)	0.00	0.00	2.53	(3.24)	22.25
SENEB	2.26	0.63	0.13	(1.10)	1.95	(3.78)	6.37	(4.27)	19.64
LANC	1.30	0.02	(0.04)	(0.04)	3.18	(1.14)	2.71	(2.02)	19.88
HAIN	4.26	(0.94)	0.00	(0.34)	0.00	0.00	9.21	(8.19)	58.06
UTZ	1.62	0.01	(0.03)	0.15	2.30	(1.63)	4.24	(3.09)	11.32
JBSS	1.42	(0.15)	0.00	(0.04)	0.00	0.00	2.93	(3.25)	8.57

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