Correlation Between Bank Mayapada and Bank Permata
Can any of the company-specific risk be diversified away by investing in both Bank Mayapada and Bank Permata 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 Mayapada and Bank Permata into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Mayapada Internasional and Bank Permata Tbk, you can compare the effects of market volatilities on Bank Mayapada and Bank Permata 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 Mayapada with a short position of Bank Permata. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Mayapada and Bank Permata.
Diversification Opportunities for Bank Mayapada and Bank Permata
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Bank is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Bank Mayapada Internasional and Bank Permata Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Permata Tbk and Bank Mayapada 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 Mayapada Internasional are associated (or correlated) with Bank Permata. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Permata Tbk has no effect on the direction of Bank Mayapada i.e., Bank Mayapada and Bank Permata go up and down completely randomly.
Pair Corralation between Bank Mayapada and Bank Permata
Assuming the 90 days trading horizon Bank Mayapada Internasional is expected to generate 3.16 times more return on investment than Bank Permata. However, Bank Mayapada is 3.16 times more volatile than Bank Permata Tbk. It trades about 0.15 of its potential returns per unit of risk. Bank Permata Tbk is currently generating about -0.34 per unit of risk. If you would invest 22,200 in Bank Mayapada Internasional on August 27, 2024 and sell it today you would earn a total of 4,800 from holding Bank Mayapada Internasional or generate 21.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Mayapada Internasional vs. Bank Permata Tbk
Performance |
Timeline |
Bank Mayapada Intern |
Bank Permata Tbk |
Bank Mayapada and Bank Permata Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Mayapada and Bank Permata
The main advantage of trading using opposite Bank Mayapada and Bank Permata positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Mayapada position performs unexpectedly, Bank Permata 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 Permata will offset losses from the drop in Bank Permata's long position.Bank Mayapada vs. Bank Mega Tbk | Bank Mayapada vs. Bank Ocbc Nisp | Bank Mayapada vs. Bank Windu Kentjana | Bank Mayapada vs. Bank Artha Graha |
Bank Permata vs. Bank Cimb Niaga | Bank Permata vs. Bank Maybank Indonesia | Bank Permata vs. Bank Danamon Indonesia | Bank Permata vs. Bank Pan Indonesia |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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