Correlation Between PT Indonesia and Berlian Laju
Can any of the company-specific risk be diversified away by investing in both PT Indonesia and Berlian Laju 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 Berlian Laju 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 Berlian Laju Tanker, you can compare the effects of market volatilities on PT Indonesia and Berlian Laju 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 Berlian Laju. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Indonesia and Berlian Laju.
Diversification Opportunities for PT Indonesia and Berlian Laju
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between IPCC and Berlian is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding PT Indonesia Kendaraan and Berlian Laju Tanker in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Berlian Laju Tanker 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 Berlian Laju. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Berlian Laju Tanker has no effect on the direction of PT Indonesia i.e., PT Indonesia and Berlian Laju go up and down completely randomly.
Pair Corralation between PT Indonesia and Berlian Laju
Assuming the 90 days trading horizon PT Indonesia Kendaraan is expected to generate 0.35 times more return on investment than Berlian Laju. However, PT Indonesia Kendaraan is 2.9 times less risky than Berlian Laju. It trades about 0.11 of its potential returns per unit of risk. Berlian Laju Tanker is currently generating about 0.0 per unit of risk. If you would invest 65,709 in PT Indonesia Kendaraan on September 12, 2024 and sell it today you would earn a total of 6,291 from holding PT Indonesia Kendaraan or generate 9.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.41% |
Values | Daily Returns |
PT Indonesia Kendaraan vs. Berlian Laju Tanker
Performance |
Timeline |
PT Indonesia Kendaraan |
Berlian Laju Tanker |
PT Indonesia and Berlian Laju Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Indonesia and Berlian Laju
The main advantage of trading using opposite PT Indonesia and Berlian Laju positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Indonesia position performs unexpectedly, Berlian Laju 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 Berlian Laju will offset losses from the drop in Berlian Laju'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 |
Berlian Laju vs. PT Indonesia Kendaraan | Berlian Laju vs. Surya Toto Indonesia | Berlian Laju vs. Mitra Pinasthika Mustika | Berlian Laju vs. Integra Indocabinet Tbk |
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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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