Correlation Between Dicker Data and Super Retail
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 Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Dicker Data vs. Super Retail Group
Performance |
Timeline |
Dicker Data |
Super Retail Group |
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.Dicker Data vs. Energy Resources | Dicker Data vs. 88 Energy | Dicker Data vs. Amani Gold | Dicker Data vs. A1 Investments Resources |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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