Correlation Between Sanurhasta Mitra and Megapower Makmur
Can any of the company-specific risk be diversified away by investing in both Sanurhasta Mitra and Megapower Makmur 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 Sanurhasta Mitra and Megapower Makmur into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sanurhasta Mitra PT and Megapower Makmur TBK, you can compare the effects of market volatilities on Sanurhasta Mitra and Megapower Makmur 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 Sanurhasta Mitra with a short position of Megapower Makmur. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sanurhasta Mitra and Megapower Makmur.
Diversification Opportunities for Sanurhasta Mitra and Megapower Makmur
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Sanurhasta and Megapower is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Sanurhasta Mitra PT and Megapower Makmur TBK in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Megapower Makmur TBK and Sanurhasta Mitra 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 Sanurhasta Mitra PT are associated (or correlated) with Megapower Makmur. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Megapower Makmur TBK has no effect on the direction of Sanurhasta Mitra i.e., Sanurhasta Mitra and Megapower Makmur go up and down completely randomly.
Pair Corralation between Sanurhasta Mitra and Megapower Makmur
Assuming the 90 days trading horizon Sanurhasta Mitra PT is expected to generate 0.83 times more return on investment than Megapower Makmur. However, Sanurhasta Mitra PT is 1.2 times less risky than Megapower Makmur. It trades about 0.39 of its potential returns per unit of risk. Megapower Makmur TBK is currently generating about 0.1 per unit of risk. If you would invest 2,200 in Sanurhasta Mitra PT on October 26, 2024 and sell it today you would earn a total of 5,700 from holding Sanurhasta Mitra PT or generate 259.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sanurhasta Mitra PT vs. Megapower Makmur TBK
Performance |
Timeline |
Sanurhasta Mitra |
Megapower Makmur TBK |
Sanurhasta Mitra and Megapower Makmur Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sanurhasta Mitra and Megapower Makmur
The main advantage of trading using opposite Sanurhasta Mitra and Megapower Makmur positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sanurhasta Mitra position performs unexpectedly, Megapower Makmur 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 Megapower Makmur will offset losses from the drop in Megapower Makmur's long position.Sanurhasta Mitra vs. Sentra Food Indonesia | Sanurhasta Mitra vs. Weha Transportasi Indonesia | Sanurhasta Mitra vs. Cisarua Mountain Dairy | Sanurhasta Mitra vs. Anabatic Technologies Tbk |
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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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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