Correlation Between Bank Rakyat and PT Mulia
Can any of the company-specific risk be diversified away by investing in both Bank Rakyat and PT Mulia 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 PT Mulia 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 PT Mulia Industrindo, you can compare the effects of market volatilities on Bank Rakyat and PT Mulia 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 PT Mulia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Rakyat and PT Mulia.
Diversification Opportunities for Bank Rakyat and PT Mulia
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and MLIA is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Bank Rakyat Indonesia and PT Mulia Industrindo in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Mulia Industrindo 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 PT Mulia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Mulia Industrindo has no effect on the direction of Bank Rakyat i.e., Bank Rakyat and PT Mulia go up and down completely randomly.
Pair Corralation between Bank Rakyat and PT Mulia
Assuming the 90 days trading horizon Bank Rakyat Indonesia is expected to under-perform the PT Mulia. In addition to that, Bank Rakyat is 4.89 times more volatile than PT Mulia Industrindo. It trades about -0.08 of its total potential returns per unit of risk. PT Mulia Industrindo is currently generating about -0.12 per unit of volatility. If you would invest 30,000 in PT Mulia Industrindo on December 24, 2024 and sell it today you would lose (600.00) from holding PT Mulia Industrindo or give up 2.0% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank Rakyat Indonesia vs. PT Mulia Industrindo
Performance |
| Timeline |
| Bank Rakyat Indonesia |
| PT Mulia Industrindo |
Bank Rakyat and PT Mulia Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank Rakyat and PT Mulia
The main advantage of trading using opposite Bank Rakyat and PT Mulia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Rakyat position performs unexpectedly, PT Mulia 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 PT Mulia will offset losses from the drop in PT Mulia's long position.| Bank Rakyat vs. Bank Central Asia | Bank Rakyat vs. Bank Mandiri Persero | Bank Rakyat vs. Bank Negara Indonesia | Bank Rakyat vs. Telkom Indonesia Tbk |
| PT Mulia vs. Suparma Tbk | PT Mulia vs. Pelangi Indah Canindo | PT Mulia vs. Surya Toto Indonesia | PT Mulia vs. Lautan Luas 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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