Correlation Between Mitrabara Adiperdana and Panca Mitra
Can any of the company-specific risk be diversified away by investing in both Mitrabara Adiperdana and Panca Mitra 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 Mitrabara Adiperdana and Panca Mitra into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mitrabara Adiperdana PT and Panca Mitra Multiperdana, you can compare the effects of market volatilities on Mitrabara Adiperdana and Panca Mitra 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 Mitrabara Adiperdana with a short position of Panca Mitra. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mitrabara Adiperdana and Panca Mitra.
Diversification Opportunities for Mitrabara Adiperdana and Panca Mitra
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Mitrabara and Panca is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Mitrabara Adiperdana PT and Panca Mitra Multiperdana in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Panca Mitra Multiperdana and Mitrabara Adiperdana 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 Mitrabara Adiperdana PT are associated (or correlated) with Panca Mitra. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Panca Mitra Multiperdana has no effect on the direction of Mitrabara Adiperdana i.e., Mitrabara Adiperdana and Panca Mitra go up and down completely randomly.
Pair Corralation between Mitrabara Adiperdana and Panca Mitra
Assuming the 90 days trading horizon Mitrabara Adiperdana PT is expected to generate 0.25 times more return on investment than Panca Mitra. However, Mitrabara Adiperdana PT is 4.02 times less risky than Panca Mitra. It trades about -0.18 of its potential returns per unit of risk. Panca Mitra Multiperdana is currently generating about -0.17 per unit of risk. If you would invest 336,000 in Mitrabara Adiperdana PT on September 17, 2024 and sell it today you would lose (49,000) from holding Mitrabara Adiperdana PT or give up 14.58% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Mitrabara Adiperdana PT vs. Panca Mitra Multiperdana
Performance |
Timeline |
Mitrabara Adiperdana |
Panca Mitra Multiperdana |
Mitrabara Adiperdana and Panca Mitra Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mitrabara Adiperdana and Panca Mitra
The main advantage of trading using opposite Mitrabara Adiperdana and Panca Mitra positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mitrabara Adiperdana position performs unexpectedly, Panca Mitra 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 Panca Mitra will offset losses from the drop in Panca Mitra's long position.Mitrabara Adiperdana vs. Harum Energy Tbk | Mitrabara Adiperdana vs. Delta Dunia Makmur | Mitrabara Adiperdana vs. Adi Sarana Armada | Mitrabara Adiperdana vs. Elang Mahkota Teknologi |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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