Correlation Between Integra Indocabinet and Bima Sakti
Can any of the company-specific risk be diversified away by investing in both Integra Indocabinet 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 Integra Indocabinet and Bima Sakti into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Integra Indocabinet Tbk and Bima Sakti Pertiwi, you can compare the effects of market volatilities on Integra Indocabinet 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 Integra Indocabinet with a short position of Bima Sakti. Check out your portfolio center. Please also check ongoing floating volatility patterns of Integra Indocabinet and Bima Sakti.
Diversification Opportunities for Integra Indocabinet and Bima Sakti
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Integra and Bima is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Integra Indocabinet Tbk 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 Integra Indocabinet 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 Integra Indocabinet Tbk 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 Integra Indocabinet i.e., Integra Indocabinet and Bima Sakti go up and down completely randomly.
Pair Corralation between Integra Indocabinet and Bima Sakti
Assuming the 90 days trading horizon Integra Indocabinet Tbk is expected to generate 2.44 times more return on investment than Bima Sakti. However, Integra Indocabinet is 2.44 times more volatile than Bima Sakti Pertiwi. It trades about 0.07 of its potential returns per unit of risk. Bima Sakti Pertiwi is currently generating about 0.01 per unit of risk. If you would invest 31,200 in Integra Indocabinet Tbk on December 1, 2024 and sell it today you would earn a total of 3,800 from holding Integra Indocabinet Tbk or generate 12.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Integra Indocabinet Tbk vs. Bima Sakti Pertiwi
Performance |
Timeline |
Integra Indocabinet Tbk |
Bima Sakti Pertiwi |
Integra Indocabinet and Bima Sakti Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Integra Indocabinet and Bima Sakti
The main advantage of trading using opposite Integra Indocabinet and Bima Sakti positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Integra Indocabinet 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.Integra Indocabinet vs. Buyung Poetra Sembada | Integra Indocabinet vs. Erajaya Swasembada Tbk | Integra Indocabinet vs. Sariguna Primatirta PT | Integra Indocabinet vs. Puradelta Lestari PT |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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