Correlation Between Bank Mandiri and Bank Danamon
Can any of the company-specific risk be diversified away by investing in both Bank Mandiri and Bank Danamon 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 Mandiri and Bank Danamon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Mandiri Persero and Bank Danamon Indonesia, you can compare the effects of market volatilities on Bank Mandiri and Bank Danamon 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 Mandiri with a short position of Bank Danamon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Mandiri and Bank Danamon.
Diversification Opportunities for Bank Mandiri and Bank Danamon
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Bank and Bank is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Bank Mandiri Persero and Bank Danamon Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Danamon Indonesia and Bank Mandiri 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 Mandiri Persero are associated (or correlated) with Bank Danamon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Danamon Indonesia has no effect on the direction of Bank Mandiri i.e., Bank Mandiri and Bank Danamon go up and down completely randomly.
Pair Corralation between Bank Mandiri and Bank Danamon
Assuming the 90 days trading horizon Bank Mandiri Persero is expected to under-perform the Bank Danamon. In addition to that, Bank Mandiri is 2.75 times more volatile than Bank Danamon Indonesia. It trades about -0.16 of its total potential returns per unit of risk. Bank Danamon Indonesia is currently generating about -0.08 per unit of volatility. If you would invest 262,000 in Bank Danamon Indonesia on September 4, 2024 and sell it today you would lose (9,000) from holding Bank Danamon Indonesia or give up 3.44% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.41% |
Values | Daily Returns |
Bank Mandiri Persero vs. Bank Danamon Indonesia
Performance |
Timeline |
Bank Mandiri Persero |
Bank Danamon Indonesia |
Bank Mandiri and Bank Danamon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Mandiri and Bank Danamon
The main advantage of trading using opposite Bank Mandiri and Bank Danamon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Mandiri position performs unexpectedly, Bank Danamon 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 Danamon will offset losses from the drop in Bank Danamon's long position.Bank Mandiri vs. Bank Rakyat Indonesia | Bank Mandiri vs. Bank Central Asia | Bank Mandiri vs. Bank Negara Indonesia | Bank Mandiri vs. Astra International Tbk |
Bank Danamon vs. Paninvest Tbk | Bank Danamon vs. Mitra Pinasthika Mustika | Bank Danamon vs. Jakarta Int Hotels | Bank Danamon 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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