Correlation Between Super Retail and Dicker Data

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Can any of the company-specific risk be diversified away by investing in both Super Retail and Dicker Data 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 Super Retail and Dicker Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Super Retail Group and Dicker Data, you can compare the effects of market volatilities on Super Retail and Dicker Data 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 Super Retail with a short position of Dicker Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Super Retail and Dicker Data.

Diversification Opportunities for Super Retail and Dicker Data

0.88
  Correlation Coefficient

Very poor diversification

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

Pair Corralation between Super Retail and Dicker Data

Assuming the 90 days trading horizon Super Retail Group is expected to generate 0.88 times more return on investment than Dicker Data. However, Super Retail Group is 1.13 times less risky than Dicker Data. It trades about 0.06 of its potential returns per unit of risk. Dicker Data is currently generating about 0.0 per unit of risk. If you would invest  967.00  in Super Retail Group on September 20, 2024 and sell it today you would earn a total of  531.00  from holding Super Retail Group or generate 54.91% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

Super Retail Group  vs.  Dicker Data

 Performance 
       Timeline  
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 

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 and Dicker Data Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Super Retail and Dicker Data

The main advantage of trading using opposite Super Retail and Dicker Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Super Retail position performs unexpectedly, Dicker Data 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 Dicker Data will offset losses from the drop in Dicker Data's long position.
The idea behind Super Retail Group and Dicker Data 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.
Check out your portfolio center.
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 Bonds Directory module to find actively traded corporate debentures issued by US companies.

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