Correlation Between Mitra Pinasthika and Buana Listya
Can any of the company-specific risk be diversified away by investing in both Mitra Pinasthika and Buana Listya 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 Mitra Pinasthika and Buana Listya into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mitra Pinasthika Mustika and Buana Listya Tama, you can compare the effects of market volatilities on Mitra Pinasthika and Buana Listya 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 Mitra Pinasthika with a short position of Buana Listya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mitra Pinasthika and Buana Listya.
Diversification Opportunities for Mitra Pinasthika and Buana Listya
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Mitra and Buana is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Mitra Pinasthika Mustika and Buana Listya Tama in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Buana Listya Tama and Mitra Pinasthika 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 Mitra Pinasthika Mustika are associated (or correlated) with Buana Listya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Buana Listya Tama has no effect on the direction of Mitra Pinasthika i.e., Mitra Pinasthika and Buana Listya go up and down completely randomly.
Pair Corralation between Mitra Pinasthika and Buana Listya
Assuming the 90 days trading horizon Mitra Pinasthika is expected to generate 9.86 times less return on investment than Buana Listya. But when comparing it to its historical volatility, Mitra Pinasthika Mustika is 5.96 times less risky than Buana Listya. It trades about 0.14 of its potential returns per unit of risk. Buana Listya Tama is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest 10,900 in Buana Listya Tama on September 18, 2024 and sell it today you would earn a total of 1,100 from holding Buana Listya Tama or generate 10.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Mitra Pinasthika Mustika vs. Buana Listya Tama
Performance |
Timeline |
Mitra Pinasthika Mustika |
Buana Listya Tama |
Mitra Pinasthika and Buana Listya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mitra Pinasthika and Buana Listya
The main advantage of trading using opposite Mitra Pinasthika and Buana Listya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mitra Pinasthika position performs unexpectedly, Buana Listya 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 Buana Listya will offset losses from the drop in Buana Listya's long position.Mitra Pinasthika vs. Pembangunan Graha Lestari | Mitra Pinasthika vs. Pembangunan Jaya Ancol | Mitra Pinasthika vs. Hotel Sahid Jaya | Mitra Pinasthika vs. Mitrabara Adiperdana PT |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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