Correlation Between Buyung Poetra and PT Indonesia
Can any of the company-specific risk be diversified away by investing in both Buyung Poetra and PT Indonesia 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 Buyung Poetra and PT Indonesia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Buyung Poetra Sembada and PT Indonesia Kendaraan, you can compare the effects of market volatilities on Buyung Poetra and PT Indonesia 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 Buyung Poetra with a short position of PT Indonesia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Buyung Poetra and PT Indonesia.
Diversification Opportunities for Buyung Poetra and PT Indonesia
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Buyung and IPCC is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding Buyung Poetra Sembada and PT Indonesia Kendaraan in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Indonesia Kendaraan and Buyung Poetra 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 Buyung Poetra Sembada are associated (or correlated) with PT Indonesia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Indonesia Kendaraan has no effect on the direction of Buyung Poetra i.e., Buyung Poetra and PT Indonesia go up and down completely randomly.
Pair Corralation between Buyung Poetra and PT Indonesia
Assuming the 90 days trading horizon Buyung Poetra is expected to generate 2.47 times less return on investment than PT Indonesia. In addition to that, Buyung Poetra is 2.42 times more volatile than PT Indonesia Kendaraan. It trades about 0.02 of its total potential returns per unit of risk. PT Indonesia Kendaraan is currently generating about 0.11 per unit of volatility. If you would invest 65,226 in PT Indonesia Kendaraan on September 16, 2024 and sell it today you would earn a total of 6,274 from holding PT Indonesia Kendaraan or generate 9.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Buyung Poetra Sembada vs. PT Indonesia Kendaraan
Performance |
Timeline |
Buyung Poetra Sembada |
PT Indonesia Kendaraan |
Buyung Poetra and PT Indonesia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Buyung Poetra and PT Indonesia
The main advantage of trading using opposite Buyung Poetra and PT Indonesia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Buyung Poetra position performs unexpectedly, PT Indonesia 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 PT Indonesia will offset losses from the drop in PT Indonesia's long position.Buyung Poetra vs. Austindo Nusantara Jaya | Buyung Poetra vs. Garudafood Putra Putri | Buyung Poetra vs. Provident Agro Tbk | Buyung Poetra vs. Dharma Satya Nusantara |
PT Indonesia vs. Jasa Armada Indonesia | PT Indonesia vs. Cikarang Listrindo Tbk | PT Indonesia vs. Mitra Pinasthika Mustika | PT Indonesia vs. Wijaya Karya Bangunan |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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