Correlation Between Macquarie Technology and RLF AgTech
Can any of the company-specific risk be diversified away by investing in both Macquarie Technology and RLF AgTech 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 Macquarie Technology and RLF AgTech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Macquarie Technology Group and RLF AgTech, you can compare the effects of market volatilities on Macquarie Technology and RLF AgTech 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 Macquarie Technology with a short position of RLF AgTech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Macquarie Technology and RLF AgTech.
Diversification Opportunities for Macquarie Technology and RLF AgTech
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Macquarie and RLF is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Macquarie Technology Group and RLF AgTech in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RLF AgTech and Macquarie Technology 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 Macquarie Technology Group are associated (or correlated) with RLF AgTech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RLF AgTech has no effect on the direction of Macquarie Technology i.e., Macquarie Technology and RLF AgTech go up and down completely randomly.
Pair Corralation between Macquarie Technology and RLF AgTech
Assuming the 90 days trading horizon Macquarie Technology Group is expected to under-perform the RLF AgTech. But the stock apears to be less risky and, when comparing its historical volatility, Macquarie Technology Group is 4.29 times less risky than RLF AgTech. The stock trades about -0.23 of its potential returns per unit of risk. The RLF AgTech is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 4.50 in RLF AgTech on December 2, 2024 and sell it today you would lose (0.20) from holding RLF AgTech or give up 4.44% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Macquarie Technology Group vs. RLF AgTech
Performance |
Timeline |
Macquarie Technology |
RLF AgTech |
Macquarie Technology and RLF AgTech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Macquarie Technology and RLF AgTech
The main advantage of trading using opposite Macquarie Technology and RLF AgTech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Macquarie Technology position performs unexpectedly, RLF AgTech 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 RLF AgTech will offset losses from the drop in RLF AgTech's long position.Macquarie Technology vs. TPG Telecom | Macquarie Technology vs. Sports Entertainment Group | Macquarie Technology vs. Hotel Property Investments | Macquarie Technology vs. Truscott Mining Corp |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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