Good Times Correlations

GTIM Stock  USD 1.56  0.03  1.89%   
The current 90-days correlation between Good Times Restaurants and Flanigans Enterprises is -0.18 (i.e., Good diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Good Times moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Good Times Restaurants moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Good Times Correlation With Market

Weak diversification

The correlation between Good Times Restaurants and DJI is 0.36 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Good Times Restaurants and DJI in the same portfolio, assuming nothing else is changed.
Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Good Times Restaurants. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.

Moving together with Good Stock

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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   
RAVESTKS
NATHBDL
NATHSTKS
NATHRAVE
BDLSTKS
RAVEBDL
  
High negative correlations   
RAVENROM
NROMBDL
NROMSTKS
NATHNROM
NROMARKR
ARKRBDL

Risk-Adjusted Indicators

There is a big difference between Good Stock performing well and Good Times 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 Good Times' 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.