Correlation Between Bumi Resources and Bank Panin
Can any of the company-specific risk be diversified away by investing in both Bumi Resources and Bank Panin 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 Bumi Resources and Bank Panin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bumi Resources Minerals and Bank Panin Syariah, you can compare the effects of market volatilities on Bumi Resources and Bank Panin 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 Bumi Resources with a short position of Bank Panin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bumi Resources and Bank Panin.
Diversification Opportunities for Bumi Resources and Bank Panin
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between Bumi and Bank is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding Bumi Resources Minerals and Bank Panin Syariah in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Panin Syariah and Bumi Resources 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 Bumi Resources Minerals are associated (or correlated) with Bank Panin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Panin Syariah has no effect on the direction of Bumi Resources i.e., Bumi Resources and Bank Panin go up and down completely randomly.
Pair Corralation between Bumi Resources and Bank Panin
Assuming the 90 days trading horizon Bumi Resources Minerals is expected to generate 2.15 times more return on investment than Bank Panin. However, Bumi Resources is 2.15 times more volatile than Bank Panin Syariah. It trades about 0.07 of its potential returns per unit of risk. Bank Panin Syariah is currently generating about -0.02 per unit of risk. If you would invest 17,200 in Bumi Resources Minerals on September 4, 2024 and sell it today you would earn a total of 22,600 from holding Bumi Resources Minerals or generate 131.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bumi Resources Minerals vs. Bank Panin Syariah
Performance |
Timeline |
Bumi Resources Minerals |
Bank Panin Syariah |
Bumi Resources and Bank Panin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bumi Resources and Bank Panin
The main advantage of trading using opposite Bumi Resources and Bank Panin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bumi Resources position performs unexpectedly, Bank Panin 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 Bank Panin will offset losses from the drop in Bank Panin's long position.Bumi Resources vs. Timah Persero Tbk | Bumi Resources vs. Semen Indonesia Persero | Bumi Resources vs. Mitra Pinasthika Mustika | Bumi Resources vs. Jakarta Int Hotels |
Bank Panin vs. Paninvest Tbk | Bank Panin vs. Mitra Pinasthika Mustika | Bank Panin vs. Jakarta Int Hotels | Bank Panin 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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