Correlation Between Bank Rakyat and Bank Negara
Can any of the company-specific risk be diversified away by investing in both Bank Rakyat and Bank Negara 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 Bank Negara 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 Bank Negara Indonesia, you can compare the effects of market volatilities on Bank Rakyat and Bank Negara 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 Bank Negara. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Rakyat and Bank Negara.
Diversification Opportunities for Bank Rakyat and Bank Negara
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and Bank is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Bank Rakyat Indonesia and Bank Negara Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Negara Indonesia 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 Bank Negara. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Negara Indonesia has no effect on the direction of Bank Rakyat i.e., Bank Rakyat and Bank Negara go up and down completely randomly.
Pair Corralation between Bank Rakyat and Bank Negara
Assuming the 90 days trading horizon Bank Rakyat is expected to generate 7.03 times less return on investment than Bank Negara. In addition to that, Bank Rakyat is 1.09 times more volatile than Bank Negara Indonesia. It trades about 0.01 of its total potential returns per unit of risk. Bank Negara Indonesia is currently generating about 0.09 per unit of volatility. If you would invest 434,248 in Bank Negara Indonesia on January 24, 2024 and sell it today you would earn a total of 93,252 from holding Bank Negara Indonesia or generate 21.47% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank Rakyat Indonesia vs. Bank Negara Indonesia
Performance |
| Timeline |
| Bank Rakyat Indonesia |
| Bank Negara Indonesia |
Bank Rakyat and Bank Negara Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank Rakyat and Bank Negara
The main advantage of trading using opposite Bank Rakyat and Bank Negara positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Rakyat position performs unexpectedly, Bank Negara 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 Negara will offset losses from the drop in Bank Negara'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 |
| Bank Negara vs. Bank Mandiri Persero | Bank Negara vs. Bank Rakyat Indonesia | Bank Negara vs. Bank Central Asia | Bank Negara vs. Astra International 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 Stocks Directory module to find actively traded stocks across global markets.
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