Bt Brands Correlations

BTBD Stock  USD 1.70  0.17  9.09%   
The current 90-days correlation between Bt Brands and Bagger Daves Burger is 0.15 (i.e., Average diversification). The correlation of Bt Brands 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.

Bt Brands Correlation With Market

Good diversification

The correlation between Bt Brands and DJI is -0.14 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Bt Brands and DJI in the same portfolio, assuming nothing else is changed.
  
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bt Brands. 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 labor statistics.
For information on how to trade BTBD Stock refer to our How to Trade BTBD Stock guide.

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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   
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High negative correlations   
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Risk-Adjusted Indicators

There is a big difference between BTBD Stock performing well and Bt Brands 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 Bt Brands' 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.