Correlation Between RMK Energy and Prima Andalan
Can any of the company-specific risk be diversified away by investing in both RMK Energy and Prima Andalan 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 RMK Energy and Prima Andalan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between RMK Energy PT and Prima Andalan Mandiri, you can compare the effects of market volatilities on RMK Energy and Prima Andalan 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 RMK Energy with a short position of Prima Andalan. Check out your portfolio center. Please also check ongoing floating volatility patterns of RMK Energy and Prima Andalan.
Diversification Opportunities for RMK Energy and Prima Andalan
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between RMK and Prima is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding RMK Energy PT and Prima Andalan Mandiri in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prima Andalan Mandiri and RMK Energy 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 RMK Energy PT are associated (or correlated) with Prima Andalan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prima Andalan Mandiri has no effect on the direction of RMK Energy i.e., RMK Energy and Prima Andalan go up and down completely randomly.
Pair Corralation between RMK Energy and Prima Andalan
Assuming the 90 days trading horizon RMK Energy PT is expected to under-perform the Prima Andalan. In addition to that, RMK Energy is 2.09 times more volatile than Prima Andalan Mandiri. It trades about -0.12 of its total potential returns per unit of risk. Prima Andalan Mandiri is currently generating about -0.15 per unit of volatility. If you would invest 558,225 in Prima Andalan Mandiri on September 29, 2024 and sell it today you would lose (48,225) from holding Prima Andalan Mandiri or give up 8.64% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
RMK Energy PT vs. Prima Andalan Mandiri
Performance |
Timeline |
RMK Energy PT |
Prima Andalan Mandiri |
RMK Energy and Prima Andalan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with RMK Energy and Prima Andalan
The main advantage of trading using opposite RMK Energy and Prima Andalan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if RMK Energy position performs unexpectedly, Prima Andalan 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 Prima Andalan will offset losses from the drop in Prima Andalan's long position.RMK Energy vs. Adaro Minerals Indonesia | RMK Energy vs. Prima Andalan Mandiri | RMK Energy vs. Golden Eagle Energy | RMK Energy vs. Resource Alam Indonesia |
Prima Andalan vs. Baramulti Suksessarana Tbk | Prima Andalan vs. Mitrabara Adiperdana PT | Prima Andalan vs. Adaro Minerals Indonesia | Prima Andalan vs. RMK Energy PT |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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