Flowers Foods Correlations

FLO Stock

USD 18.16 0.29 1.57%

The current 90-days correlation between Flowers Foods and McCormick Company Incorporated is 0.67 (i.e., Poor diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Flowers Foods moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Flowers Foods moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Flowers Foods Correlation With Market

Modest diversification

The correlation between Flowers Foods and DJI is 0.2 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Flowers Foods and DJI in the same portfolio, assuming nothing else is changed.

Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Flowers Foods. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis.

To learn how to invest in Flowers Stock, please use our How to Invest in Flowers Foods guide.

Moving together with Flowers Stock

0.9	STZ	Constellation Brands Sell-off Trend	Pair Corr
0.83	BRFS	BRF SA ADR	Pair Corr
0.71	BG	Bunge Limited	Pair Corr
0.81	LW	Lamb Weston Holdings	Pair Corr
0.62	DNUT	Krispy Kreme	Pair Corr

Moving against Flowers Stock

0.81	K	Kellanova Sell-off Trend	Pair Corr
0.74	YQ	17 Education Technology	Pair Corr
0.7	PM	Philip Morris Intern	Pair Corr
0.62	BJ	BJs Wholesale Club	Pair Corr
0.62	KO	Coca Cola	Pair Corr
0.59	UG	United Guardian	Pair Corr
0.49	FMX	Fomento Economico	Pair Corr
0.48	KR	Kroger Company	Pair Corr
0.47	BOF	BranchOut Food Common	Pair Corr
0.39	BUD	Anheuser Busch Inbev Sell-off Trend	Pair Corr
0.38	MO	Altria Group	Pair Corr
0.82	WVVI	Willamette Valley Earnings Call This Week	Pair Corr
0.81	ACI	Albertsons Companies	Pair Corr
0.76	VSTA	Vasta Platform Potential Growth	Pair Corr
0.7	BRLSW	Borealis Foods	Pair Corr
0.7	WYHG	Wing Yip Food	Pair Corr
0.63	BTI	British American Tobacco	Pair Corr
0.46	FARM	Farmer Bros	Pair Corr
0.34	WAFU	Wah Fu Education	Pair Corr
0.33	WILC	G Willi Food	Pair Corr

Related Correlations Analysis

	CAG	MKC	CPB	K	GIS	HRL	LW	SJM	LANC	THS
CAG		0.23	0.86	-0.49	0.92	0.8	0.54	0.71	-0.03	0.25	CAG
MKC	0.23		0.35	0.52	0.41	-0.12	-0.3	0.8	0.72	-0.62	MKC
CPB	0.86	0.35		-0.44	0.92	0.69	0.51	0.72	0.26	0.19	CPB
K	-0.49	0.52	-0.44		-0.42	-0.75	-0.85	0.15	0.35	-0.75	K
GIS	0.92	0.41	0.92	-0.42		0.75	0.54	0.76	0.26	0.2	GIS
HRL	0.8	-0.12	0.69	-0.75	0.75		0.79	0.31	-0.21	0.49	HRL
LW	0.54	-0.3	0.51	-0.85	0.54	0.79		0.0	-0.09	0.63	LW
SJM	0.71	0.8	0.72	0.15	0.76	0.31	0.0		0.43	-0.38	SJM
LANC	-0.03	0.72	0.26	0.35	0.26	-0.21	-0.09	0.43		-0.41	LANC
THS	0.25	-0.62	0.19	-0.75	0.2	0.49	0.63	-0.38	-0.41		THS
	CAG	MKC	CPB	K	GIS	HRL	LW	SJM	LANC	THS

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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

GIS	+ 0.92	CAG
GIS	+ 0.92	CPB
CPB	+ 0.86	CAG
HRL	+ 0.8	CAG
SJM	+ 0.8	MKC
LW	+ 0.79	HRL

High negative correlations

LW	- 0.85	K
THS	- 0.75	K
HRL	- 0.75	K
THS	- 0.62	MKC
K	- 0.49	CAG
K	- 0.44	CPB

Risk-Adjusted Indicators

There is a big difference between Flowers Stock performing well and Flowers Foods 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 Flowers Foods' 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
CAG	1.33	(0.08)	0.00	3.11	0.00	0.00	2.32	(2.84)	8.53
MKC	1.13	0.03	0.06	0.03	1.45	(1.19)	2.56	(2.27)	6.80
CPB	1.38	(0.15)	0.00	(1.08)	0.00	0.00	2.59	(3.45)	10.02
K	0.14	0.03	0.61	(0.58)	0.00	(0.16)	0.34	(0.27)	0.80
GIS	1.34	(0.12)	0.00	(0.78)	0.00	0.00	2.32	(3.69)	8.21
HRL	1.07	(0.14)	0.00	(1.17)	0.00	0.00	2.77	(2.19)	6.26
LW	2.10	(0.44)	0.00	(1.30)	0.00	0.00	4.35	(4.99)	26.89
SJM	1.30	(0.01)	0.00	(0.15)	0.00	0.00	2.60	(2.83)	8.11
LANC	1.32	(0.07)	0.00	(0.18)	0.00	0.00	2.19	(2.73)	11.71
THS	1.52	(0.30)	0.00	(0.68)	0.00	0.00	2.10	(3.65)	13.25

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