Correlation Between Resource Alam and Asia Pacific
Can any of the company-specific risk be diversified away by investing in both Resource Alam and Asia Pacific 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 Resource Alam and Asia Pacific into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Resource Alam Indonesia and Asia Pacific Fibers, you can compare the effects of market volatilities on Resource Alam and Asia Pacific 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 Resource Alam with a short position of Asia Pacific. Check out your portfolio center. Please also check ongoing floating volatility patterns of Resource Alam and Asia Pacific.
Diversification Opportunities for Resource Alam and Asia Pacific
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Resource and Asia is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Resource Alam Indonesia and Asia Pacific Fibers in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Asia Pacific Fibers and Resource Alam 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 Resource Alam Indonesia are associated (or correlated) with Asia Pacific. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Asia Pacific Fibers has no effect on the direction of Resource Alam i.e., Resource Alam and Asia Pacific go up and down completely randomly.
Pair Corralation between Resource Alam and Asia Pacific
Assuming the 90 days trading horizon Resource Alam Indonesia is expected to generate 0.55 times more return on investment than Asia Pacific. However, Resource Alam Indonesia is 1.82 times less risky than Asia Pacific. It trades about 0.1 of its potential returns per unit of risk. Asia Pacific Fibers is currently generating about -0.06 per unit of risk. If you would invest 30,810 in Resource Alam Indonesia on October 22, 2024 and sell it today you would earn a total of 18,390 from holding Resource Alam Indonesia or generate 59.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.53% |
Values | Daily Returns |
Resource Alam Indonesia vs. Asia Pacific Fibers
Performance |
Timeline |
Resource Alam Indonesia |
Asia Pacific Fibers |
Resource Alam and Asia Pacific Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Resource Alam and Asia Pacific
The main advantage of trading using opposite Resource Alam and Asia Pacific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Resource Alam position performs unexpectedly, Asia Pacific 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 Asia Pacific will offset losses from the drop in Asia Pacific's long position.Resource Alam vs. Petrosea Tbk | Resource Alam vs. Harum Energy Tbk | Resource Alam vs. Perdana Karya Perkasa | Resource Alam vs. Bayan Resources Tbk |
Asia Pacific vs. PT Sreeya Sewu | Asia Pacific vs. Multistrada Arah Sarana | Asia Pacific vs. Polychem Indonesia Tbk | Asia Pacific vs. Pan Brothers Tbk |
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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
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