Correlation Between Indointernet Tbk and Bima Sakti
Can any of the company-specific risk be diversified away by investing in both Indointernet Tbk and Bima Sakti 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 Indointernet Tbk and Bima Sakti into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Indointernet Tbk PT and Bima Sakti Pertiwi, you can compare the effects of market volatilities on Indointernet Tbk and Bima Sakti 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 Indointernet Tbk with a short position of Bima Sakti. Check out your portfolio center. Please also check ongoing floating volatility patterns of Indointernet Tbk and Bima Sakti.
Diversification Opportunities for Indointernet Tbk and Bima Sakti
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Indointernet and Bima is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Indointernet Tbk PT and Bima Sakti Pertiwi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bima Sakti Pertiwi and Indointernet Tbk 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 Indointernet Tbk PT are associated (or correlated) with Bima Sakti. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bima Sakti Pertiwi has no effect on the direction of Indointernet Tbk i.e., Indointernet Tbk and Bima Sakti go up and down completely randomly.
Pair Corralation between Indointernet Tbk and Bima Sakti
Assuming the 90 days trading horizon Indointernet Tbk PT is expected to generate 0.88 times more return on investment than Bima Sakti. However, Indointernet Tbk PT is 1.13 times less risky than Bima Sakti. It trades about -0.05 of its potential returns per unit of risk. Bima Sakti Pertiwi is currently generating about -0.05 per unit of risk. If you would invest 439,000 in Indointernet Tbk PT on March 4, 2024 and sell it today you would lose (29,000) from holding Indointernet Tbk PT or give up 6.61% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Indointernet Tbk PT vs. Bima Sakti Pertiwi
Performance |
Timeline |
Indointernet Tbk |
Bima Sakti Pertiwi |
Indointernet Tbk and Bima Sakti Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Indointernet Tbk and Bima Sakti
The main advantage of trading using opposite Indointernet Tbk and Bima Sakti positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Indointernet Tbk position performs unexpectedly, Bima Sakti 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 Bima Sakti will offset losses from the drop in Bima Sakti's long position.Indointernet Tbk vs. DCI Indonesia Tbk | Indointernet Tbk vs. Digital Mediatama Maxima | Indointernet Tbk vs. Multipolar Technology Tbk | Indointernet Tbk vs. Bank Net Indonesia |
Bima Sakti vs. Integra Indocabinet Tbk | Bima Sakti vs. Multistrada Arah Sarana | Bima Sakti vs. PT MNC Energy | Bima Sakti vs. J Resources Asia |
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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