Correlation Between Bank Rakyat and Harum Energy
Can any of the company-specific risk be diversified away by investing in both Bank Rakyat and Harum Energy 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 Bank Rakyat and Harum Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Rakyat Indonesia and Harum Energy Tbk, you can compare the effects of market volatilities on Bank Rakyat and Harum Energy 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 Bank Rakyat with a short position of Harum Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Rakyat and Harum Energy.
Diversification Opportunities for Bank Rakyat and Harum Energy
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and Harum is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Bank Rakyat Indonesia and Harum Energy Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Harum Energy Tbk and Bank Rakyat 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 Bank Rakyat Indonesia are associated (or correlated) with Harum Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Harum Energy Tbk has no effect on the direction of Bank Rakyat i.e., Bank Rakyat and Harum Energy go up and down completely randomly.
Pair Corralation between Bank Rakyat and Harum Energy
Assuming the 90 days trading horizon Bank Rakyat Indonesia is expected to generate 0.85 times more return on investment than Harum Energy. However, Bank Rakyat Indonesia is 1.17 times less risky than Harum Energy. It trades about -0.18 of its potential returns per unit of risk. Harum Energy Tbk is currently generating about -0.16 per unit of risk. If you would invest 517,500 in Bank Rakyat Indonesia on September 3, 2024 and sell it today you would lose (91,500) from holding Bank Rakyat Indonesia or give up 17.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Rakyat Indonesia vs. Harum Energy Tbk
Performance |
Timeline |
Bank Rakyat Indonesia |
Harum Energy Tbk |
Bank Rakyat and Harum Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Rakyat and Harum Energy
The main advantage of trading using opposite Bank Rakyat and Harum Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Rakyat position performs unexpectedly, Harum Energy 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 Harum Energy will offset losses from the drop in Harum Energy's long position.Bank Rakyat vs. Paninvest Tbk | Bank Rakyat vs. Mitra Pinasthika Mustika | Bank Rakyat vs. Jakarta Int Hotels | Bank Rakyat vs. Asuransi Harta Aman |
Harum Energy vs. Weha Transportasi Indonesia | Harum Energy vs. Mitra Pinasthika Mustika | Harum Energy vs. Jakarta Int Hotels | Harum Energy vs. Asuransi Harta Aman |
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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