Group 1 Correlations

GPI Stock  USD 459.54  15.33  3.45%   
The current 90-days correlation between Group 1 Automotive and Penske Automotive Group is 0.88 (i.e., Very poor diversification). The correlation of Group 1 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.

Group 1 Correlation With Market

Weak diversification

The correlation between Group 1 Automotive 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 Group 1 Automotive 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 Group 1 Automotive. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area.

Moving together with Group Stock

  0.67AN AutoNationPairCorr
  0.89ABG Asbury AutomotivePairCorr
  0.67BBY Best BuyPairCorr
  0.83LAD Lithia MotorsPairCorr
  0.7PAG Penske AutomotivePairCorr
  0.71SAH Sonic AutomotivePairCorr

Moving against Group Stock

  0.46RAY Raytech HoldingPairCorr
  0.57BABA Alibaba Group Holding Earnings Call TomorrowPairCorr
  0.56IH Ihuman IncPairCorr
  0.39HTLM HomesToLifePairCorr

Related Correlations Analysis


Risk-Adjusted Indicators

There is a big difference between Group Stock performing well and Group 1 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 Group 1'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.