Wing Yip Correlations

WYHG Stock   4.38  0.12  2.67%   
The current 90-days correlation between Wing Yip Food and Kellanova is 0.05 (i.e., Significant diversification). The correlation of Wing Yip 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.

Wing Yip Correlation With Market

Significant diversification

The correlation between Wing Yip Food and DJI is 0.05 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Wing Yip Food and DJI in the same portfolio, assuming nothing else is changed.
  
Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in Wing Yip Food. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in rate.

Related Correlations Analysis

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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   
LWK
BOFFARM
FAMILW
FARMCENTA
BOFCENTA
FAMIK
  
High negative correlations   
BGSLW
BONLW
FARMFAMI
BOFFAMI
BGSK
BONFAMI

Risk-Adjusted Indicators

There is a big difference between Wing Stock performing well and Wing Yip 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 Wing Yip'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 DeviationJensen AlphaSortino RatioTreynor RatioSemi DeviationExpected ShortfallPotential UpsideValue @RiskMaximum Drawdown
K  0.15  0.00 (0.57) 0.16  0.07 
 0.37 
 0.92 
LW  1.13  0.23  0.10  0.62  1.39 
 2.57 
 16.32 
BRLSW  4.53  0.56  0.07  1.26  5.02 
 12.03 
 41.04 
CENTA  1.32 (0.02) 0.00  0.10  1.37 
 2.81 
 6.82 
FAMI  5.84  0.73  0.11  0.49  6.00 
 15.00 
 43.91 
FARM  2.62 (0.47) 0.00 (0.21) 0.00 
 5.00 
 22.15 
WYHG  6.32  0.52  0.00  2.08  0.00 
 12.13 
 26.19 
BGS  2.27  0.12  0.00  0.03  0.00 
 4.72 
 24.77 
BOF  4.32 (0.34) 0.00 (0.17) 0.00 
 8.37 
 28.55 
BON  4.21  0.10  0.02  0.22  4.55 
 9.80 
 25.24