Sonic Automotive Correlations

SAH Stock  USD 60.87  0.22  0.36%   
The current 90-days correlation between Sonic Automotive and AutoNation is 0.78 (i.e., Poor diversification). The correlation of Sonic Automotive 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.

Sonic Automotive Correlation With Market

Very weak diversification

The correlation between Sonic Automotive and DJI is 0.57 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Sonic Automotive and DJI in the same portfolio, assuming nothing else is changed.
  
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Sonic 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 nation.
For more detail on how to invest in Sonic Stock please use our How to Invest in Sonic Automotive guide.

Moving together with Sonic Stock

  0.77HD Home DepotPairCorr
  0.77FORD Forward IndustriesPairCorr
  0.83XPOF Xponential FitnessPairCorr
  0.81ZGN Ermenegildo Zegna Earnings Call This WeekPairCorr
  0.79JAKK JAKKS PacificPairCorr

Moving against Sonic Stock

  0.32GOLF Acushnet Holdings CorpPairCorr

Related Correlations Analysis

Click cells to compare fundamentals   Check Volatility   Backtest Portfolio

Risk-Adjusted Indicators

There is a big difference between Sonic Stock performing well and Sonic Automotive 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 Sonic Automotive'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.