Nestle SA Correlations

NSRGF Stock

USD 102.75 0.05 0.05%

The current 90-days correlation between Nestle SA and General Mills is -0.15 (i.e., Good diversification). The correlation of Nestle SA 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.

Nestle SA Correlation With Market

Good diversification

The correlation between Nestle SA and DJI is -0.02 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Nestle SA and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with Nestle Pink Sheet

0.94	GPDNF	Danone SA	Pair Corr
0.83	K	Kellanova	Pair Corr
0.78	MKC-V	McCormick Company Earnings Call This Week	Pair Corr
0.67	CIADY	China Mengniu Dairy Earnings Call This Week	Pair Corr
0.73	GRWC	Grow Capital	Pair Corr
0.87	MTTR	Matterport	Pair Corr
0.86	MBAV	M3 Brigade Acquisition	Pair Corr
0.79	FREKF	freee KK	Pair Corr
0.75	ELP	Companhia Paranaense	Pair Corr
0.78	MSLVF	Mantaro Silver Corp	Pair Corr
0.87	O	Realty Income	Pair Corr
0.76	COOTW	Australian Oilseeds	Pair Corr
0.81	BACQU	Bleichroeder Acquisition	Pair Corr

Moving against Nestle Pink Sheet

0.8	PPERY	Bank Mandiri Persero	Pair Corr
0.78	KB	KB Financial Group	Pair Corr
0.76	PBCRY	Bank Central Asia	Pair Corr
0.75	PPERF	Bank Mandiri Persero	Pair Corr
0.71	BKRKY	Bank Rakyat	Pair Corr
0.7	PBCRF	PT Bank Central	Pair Corr
0.74	SHG	Shinhan Financial	Pair Corr
0.67	PAVMZ	PAVmed Series Z	Pair Corr
0.67	78413KAB8	SESGFP 53 25	Pair Corr
0.5	FUAPF	Global Cannabis Appl	Pair Corr
0.45	SES	SES AI Corp	Pair Corr
0.38	STHC	Southcorp Capital	Pair Corr

Related Correlations Analysis

	GIS	K	CPB	KHC	TSUKF	TSUKY	GLAPF	SENEA	LW	ACOPY
GIS		-0.44	0.93	0.78	0.0	0.5	0.45	0.23	0.56	0.0	GIS
K	-0.44		-0.46	0.14	0.0	-0.76	-0.82	0.6	-0.87	0.8	K
CPB	0.93	-0.46		0.77	0.0	0.51	0.52	0.19	0.54	0.0	CPB
KHC	0.78	0.14	0.77		0.0	0.14	0.02	0.65	0.04	0.57	KHC
TSUKF	0.0	0.0	0.0	0.0		0.0	0.0	0.0	0.0	0.0	TSUKF
TSUKY	0.5	-0.76	0.51	0.14	0.0		0.51	-0.4	0.68	-0.46	TSUKY
GLAPF	0.45	-0.82	0.52	0.02	0.0	0.51		-0.47	0.84	-0.61	GLAPF
SENEA	0.23	0.6	0.19	0.65	0.0	-0.4	-0.47		-0.48	0.84	SENEA
LW	0.56	-0.87	0.54	0.04	0.0	0.68	0.84	-0.48		-0.67	LW
ACOPY	0.0	0.8	0.0	0.57	0.0	-0.46	-0.61	0.84	-0.67		ACOPY
	GIS	K	CPB	KHC	TSUKF	TSUKY	GLAPF	SENEA	LW	ACOPY

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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

CPB	+ 0.93	GIS
LW	+ 0.84	GLAPF
ACOPY	+ 0.84	SENEA
ACOPY	+ 0.8	K
KHC	+ 0.78	GIS
KHC	+ 0.77	CPB

High negative correlations

LW	- 0.87	K
GLAPF	- 0.82	K
TSUKY	- 0.76	K
ACOPY	- 0.67	LW
ACOPY	- 0.61	GLAPF
LW	- 0.48	SENEA

Risk-Adjusted Indicators

There is a big difference between Nestle Pink Sheet performing well and Nestle SA 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 Nestle SA'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
GIS	1.32	(0.10)	0.00	(0.53)	0.00	0.00	2.32	(3.69)	8.21
K	0.14	0.03	0.73	1.18	0.00	(0.16)	0.34	(0.27)	0.80
CPB	1.39	(0.15)	0.00	(0.97)	0.00	0.00	2.59	(3.45)	10.02
KHC	1.27	(0.01)	0.00	(0.12)	0.00	0.00	2.23	(3.25)	7.69
TSUKF	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
TSUKY	3.27	0.06	0.02	0.02	4.22	(3.61)	7.74	(7.96)	22.27
GLAPF	2.11	(0.52)	0.00	(0.46)	0.00	0.00	4.02	(7.92)	29.50
SENEA	1.40	0.28	0.19	0.55	1.44	(1.54)	3.61	(2.43)	13.63
LW	2.10	(0.44)	0.00	(1.30)	0.00	0.00	4.35	(4.99)	26.89
ACOPY	2.17	0.67	0.11	(3.36)	2.24	(8.60)	5.37	(2.19)	43.08

Be your own money manager

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