Correlation Between PT Indonesia and Buyung Poetra
Can any of the company-specific risk be diversified away by investing in both PT Indonesia and Buyung Poetra 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 Buyung Poetra 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 Buyung Poetra Sembada, you can compare the effects of market volatilities on PT Indonesia and Buyung Poetra 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 Buyung Poetra. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Indonesia and Buyung Poetra.
Diversification Opportunities for PT Indonesia and Buyung Poetra
-0.66 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between IPCC and Buyung is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding PT Indonesia Kendaraan and Buyung Poetra Sembada in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Buyung Poetra Sembada 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 Buyung Poetra. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Buyung Poetra Sembada has no effect on the direction of PT Indonesia i.e., PT Indonesia and Buyung Poetra go up and down completely randomly.
Pair Corralation between PT Indonesia and Buyung Poetra
Assuming the 90 days trading horizon PT Indonesia is expected to generate 3.15 times less return on investment than Buyung Poetra. But when comparing it to its historical volatility, PT Indonesia Kendaraan is 4.26 times less risky than Buyung Poetra. It trades about 0.14 of its potential returns per unit of risk. Buyung Poetra Sembada is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 11,300 in Buyung Poetra Sembada on September 1, 2024 and sell it today you would earn a total of 1,100 from holding Buyung Poetra Sembada or generate 9.73% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 95.45% |
| Values | Daily Returns |
PT Indonesia Kendaraan vs. Buyung Poetra Sembada
Performance |
| Timeline |
| PT Indonesia Kendaraan |
| Buyung Poetra Sembada |
PT Indonesia and Buyung Poetra Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with PT Indonesia and Buyung Poetra
The main advantage of trading using opposite PT Indonesia and Buyung Poetra positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Indonesia position performs unexpectedly, Buyung Poetra 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 Buyung Poetra will offset losses from the drop in Buyung Poetra'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 |
| Buyung Poetra vs. Integra Indocabinet Tbk | Buyung Poetra vs. Sariguna Primatirta PT | Buyung Poetra vs. Erajaya Swasembada Tbk | Buyung Poetra vs. Puradelta Lestari 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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