Correlation Between Alfa Energi and Buana Listya
Can any of the company-specific risk be diversified away by investing in both Alfa Energi and Buana Listya 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 Alfa Energi and Buana Listya into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alfa Energi Investama and Buana Listya Tama, you can compare the effects of market volatilities on Alfa Energi and Buana Listya 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 Alfa Energi with a short position of Buana Listya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alfa Energi and Buana Listya.
Diversification Opportunities for Alfa Energi and Buana Listya
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Alfa and Buana is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Alfa Energi Investama and Buana Listya Tama in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Buana Listya Tama and Alfa Energi 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 Alfa Energi Investama are associated (or correlated) with Buana Listya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Buana Listya Tama has no effect on the direction of Alfa Energi i.e., Alfa Energi and Buana Listya go up and down completely randomly.
Pair Corralation between Alfa Energi and Buana Listya
Assuming the 90 days trading horizon Alfa Energi Investama is expected to generate 1.42 times more return on investment than Buana Listya. However, Alfa Energi is 1.42 times more volatile than Buana Listya Tama. It trades about 0.0 of its potential returns per unit of risk. Buana Listya Tama is currently generating about 0.0 per unit of risk. If you would invest 17,200 in Alfa Energi Investama on September 18, 2024 and sell it today you would lose (8,600) from holding Alfa Energi Investama or give up 50.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.79% |
Values | Daily Returns |
Alfa Energi Investama vs. Buana Listya Tama
Performance |
Timeline |
Alfa Energi Investama |
Buana Listya Tama |
Alfa Energi and Buana Listya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alfa Energi and Buana Listya
The main advantage of trading using opposite Alfa Energi and Buana Listya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alfa Energi position performs unexpectedly, Buana Listya 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 Buana Listya will offset losses from the drop in Buana Listya's long position.Alfa Energi vs. Harum Energy Tbk | Alfa Energi vs. Delta Dunia Makmur | Alfa Energi vs. Adi Sarana Armada | Alfa Energi vs. Elang Mahkota Teknologi |
Buana Listya vs. PT Indonesia Kendaraan | Buana Listya vs. Surya Toto Indonesia | Buana Listya vs. Mitra Pinasthika Mustika | Buana Listya 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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