Correlation Between Energy Resources and Dicker Data
Can any of the company-specific risk be diversified away by investing in both Energy Resources 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 Energy Resources and Dicker Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Energy Resources and Dicker Data, you can compare the effects of market volatilities on Energy Resources 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 Energy Resources with a short position of Dicker Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Energy Resources and Dicker Data.
Diversification Opportunities for Energy Resources and Dicker Data
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Energy and Dicker is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Energy Resources and Dicker Data in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dicker Data and Energy Resources 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 Energy Resources 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 Energy Resources i.e., Energy Resources and Dicker Data go up and down completely randomly.
Pair Corralation between Energy Resources and Dicker Data
Assuming the 90 days trading horizon Energy Resources is expected to generate 21.37 times more return on investment than Dicker Data. However, Energy Resources is 21.37 times more volatile than Dicker Data. It trades about 0.09 of its potential returns per unit of risk. Dicker Data is currently generating about -0.07 per unit of risk. If you would invest 0.50 in Energy Resources on September 2, 2024 and sell it today you would lose (0.30) from holding Energy Resources or give up 60.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Energy Resources vs. Dicker Data
Performance |
Timeline |
Energy Resources |
Dicker Data |
Energy Resources and Dicker Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Energy Resources and Dicker Data
The main advantage of trading using opposite Energy Resources and Dicker Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Energy Resources 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.Energy Resources vs. Westpac Banking | Energy Resources vs. ABACUS STORAGE KING | Energy Resources vs. Odyssey Energy | Energy Resources vs. Imricor Medical Systems |
Dicker Data vs. Accent Resources NL | Dicker Data vs. Hutchison Telecommunications | Dicker Data vs. Energy Resources | Dicker Data vs. GO2 People |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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