Correlation Between Dicker Data and Super Retail

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Can any of the company-specific risk be diversified away by investing in both Dicker Data and Super Retail at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Dicker Data and Super Retail into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dicker Data and Super Retail Group, you can compare the effects of market volatilities on Dicker Data and Super Retail and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Dicker Data with a short position of Super Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dicker Data and Super Retail.

Diversification Opportunities for Dicker Data and Super Retail

0.88
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Dicker and Super is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Dicker Data and Super Retail Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Super Retail Group and Dicker Data is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Dicker Data are associated (or correlated) with Super Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Super Retail Group has no effect on the direction of Dicker Data i.e., Dicker Data and Super Retail go up and down completely randomly.

Pair Corralation between Dicker Data and Super Retail

Assuming the 90 days trading horizon Dicker Data is expected to under-perform the Super Retail. In addition to that, Dicker Data is 1.09 times more volatile than Super Retail Group. It trades about -0.05 of its total potential returns per unit of risk. Super Retail Group is currently generating about 0.01 per unit of volatility. If you would invest  1,492  in Super Retail Group on September 20, 2024 and sell it today you would earn a total of  6.00  from holding Super Retail Group or generate 0.4% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

Dicker Data  vs.  Super Retail Group

 Performance 
       Timeline  
Dicker Data 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Dicker Data has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest uncertain performance, the Stock's basic indicators remain stable and the newest uproar on Wall Street may also be a sign of mid-term gains for the firm private investors.
Super Retail Group 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Super Retail Group has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of uncertain performance in the last few months, the Stock's essential indicators remain comparatively stable which may send shares a bit higher in January 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

Dicker Data and Super Retail Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dicker Data and Super Retail

The main advantage of trading using opposite Dicker Data and Super Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dicker Data position performs unexpectedly, Super Retail can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Super Retail will offset losses from the drop in Super Retail's long position.
The idea behind Dicker Data and Super Retail Group pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.

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