Correlation Between PT Indonesia and Mitra Pinasthika
Can any of the company-specific risk be diversified away by investing in both PT Indonesia and Mitra Pinasthika 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 PT Indonesia and Mitra Pinasthika into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Indonesia Kendaraan and Mitra Pinasthika Mustika, you can compare the effects of market volatilities on PT Indonesia and Mitra Pinasthika 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 PT Indonesia with a short position of Mitra Pinasthika. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Indonesia and Mitra Pinasthika.
Diversification Opportunities for PT Indonesia and Mitra Pinasthika
-0.91 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between IPCC and Mitra is -0.91. Overlapping area represents the amount of risk that can be diversified away by holding PT Indonesia Kendaraan and Mitra Pinasthika Mustika in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mitra Pinasthika Mustika and PT Indonesia 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 PT Indonesia Kendaraan are associated (or correlated) with Mitra Pinasthika. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mitra Pinasthika Mustika has no effect on the direction of PT Indonesia i.e., PT Indonesia and Mitra Pinasthika go up and down completely randomly.
Pair Corralation between PT Indonesia and Mitra Pinasthika
Assuming the 90 days trading horizon PT Indonesia Kendaraan is expected to generate 1.25 times more return on investment than Mitra Pinasthika. However, PT Indonesia is 1.25 times more volatile than Mitra Pinasthika Mustika. It trades about 0.07 of its potential returns per unit of risk. Mitra Pinasthika Mustika is currently generating about 0.03 per unit of risk. If you would invest 46,348 in PT Indonesia Kendaraan on September 12, 2024 and sell it today you would earn a total of 25,152 from holding PT Indonesia Kendaraan or generate 54.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
PT Indonesia Kendaraan vs. Mitra Pinasthika Mustika
Performance |
Timeline |
PT Indonesia Kendaraan |
Mitra Pinasthika Mustika |
PT Indonesia and Mitra Pinasthika Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Indonesia and Mitra Pinasthika
The main advantage of trading using opposite PT Indonesia and Mitra Pinasthika positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Indonesia position performs unexpectedly, Mitra Pinasthika 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 Mitra Pinasthika will offset losses from the drop in Mitra Pinasthika's long position.PT Indonesia vs. Jasa Armada Indonesia | PT Indonesia vs. Cikarang Listrindo Tbk | PT Indonesia vs. Mitra Pinasthika Mustika | PT Indonesia vs. Wijaya Karya Bangunan |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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