Correlation Between Dicker Data and Australian Agricultural
Can any of the company-specific risk be diversified away by investing in both Dicker Data and Australian Agricultural 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 Australian Agricultural into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dicker Data and Australian Agricultural, you can compare the effects of market volatilities on Dicker Data and Australian Agricultural 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 Australian Agricultural. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dicker Data and Australian Agricultural.
Diversification Opportunities for Dicker Data and Australian Agricultural
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Dicker and Australian is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Dicker Data and Australian Agricultural in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Australian Agricultural 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 Australian Agricultural. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Australian Agricultural has no effect on the direction of Dicker Data i.e., Dicker Data and Australian Agricultural go up and down completely randomly.
Pair Corralation between Dicker Data and Australian Agricultural
Assuming the 90 days trading horizon Dicker Data is expected to under-perform the Australian Agricultural. In addition to that, Dicker Data is 1.22 times more volatile than Australian Agricultural. It trades about -0.08 of its total potential returns per unit of risk. Australian Agricultural is currently generating about -0.09 per unit of volatility. If you would invest 140.00 in Australian Agricultural on August 29, 2024 and sell it today you would lose (3.00) from holding Australian Agricultural or give up 2.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Dicker Data vs. Australian Agricultural
Performance |
Timeline |
Dicker Data |
Australian Agricultural |
Dicker Data and Australian Agricultural Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dicker Data and Australian Agricultural
The main advantage of trading using opposite Dicker Data and Australian Agricultural positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dicker Data position performs unexpectedly, Australian Agricultural 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 Australian Agricultural will offset losses from the drop in Australian Agricultural's long position.Dicker Data vs. Australian Unity Office | Dicker Data vs. Phoslock Environmental Technologies | Dicker Data vs. Vulcan Steel | Dicker Data vs. Medical Developments International |
Australian Agricultural vs. Macquarie Technology Group | Australian Agricultural vs. Fisher Paykel Healthcare | Australian Agricultural vs. Autosports Group | Australian Agricultural vs. Nufarm Finance NZ |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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