Correlation Between Growthpoint Properties and Oceana
Can any of the company-specific risk be diversified away by investing in both Growthpoint Properties and Oceana 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 Growthpoint Properties and Oceana into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Growthpoint Properties and Oceana, you can compare the effects of market volatilities on Growthpoint Properties and Oceana 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 Growthpoint Properties with a short position of Oceana. Check out your portfolio center. Please also check ongoing floating volatility patterns of Growthpoint Properties and Oceana.
Diversification Opportunities for Growthpoint Properties and Oceana
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Growthpoint and Oceana is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding Growthpoint Properties and Oceana in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oceana and Growthpoint Properties 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 Growthpoint Properties are associated (or correlated) with Oceana. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oceana has no effect on the direction of Growthpoint Properties i.e., Growthpoint Properties and Oceana go up and down completely randomly.
Pair Corralation between Growthpoint Properties and Oceana
Assuming the 90 days trading horizon Growthpoint Properties is expected to generate 1.13 times more return on investment than Oceana. However, Growthpoint Properties is 1.13 times more volatile than Oceana. It trades about 0.03 of its potential returns per unit of risk. Oceana is currently generating about -0.25 per unit of risk. If you would invest 128,500 in Growthpoint Properties on December 27, 2024 and sell it today you would earn a total of 2,200 from holding Growthpoint Properties or generate 1.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Growthpoint Properties vs. Oceana
Performance |
Timeline |
Growthpoint Properties |
Oceana |
Growthpoint Properties and Oceana Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Growthpoint Properties and Oceana
The main advantage of trading using opposite Growthpoint Properties and Oceana positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Growthpoint Properties position performs unexpectedly, Oceana 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 Oceana will offset losses from the drop in Oceana's long position.Growthpoint Properties vs. CA Sales Holdings | Growthpoint Properties vs. Life Healthcare | Growthpoint Properties vs. Brimstone Investment | Growthpoint Properties vs. Europa Metals |
Oceana vs. Ascendis Health | Oceana vs. Hosken Consolidated Investments | Oceana vs. City Lodge Hotels | Oceana vs. Harmony Gold Mining |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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