Correlation Between Bank Rakyat and Global Crossing
Can any of the company-specific risk be diversified away by investing in both Bank Rakyat and Global Crossing 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 Global Crossing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Rakyat and Global Crossing Airlines, you can compare the effects of market volatilities on Bank Rakyat and Global Crossing 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 Global Crossing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Rakyat and Global Crossing.
Diversification Opportunities for Bank Rakyat and Global Crossing
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Global is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Bank Rakyat and Global Crossing Airlines in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global Crossing Airlines 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 are associated (or correlated) with Global Crossing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global Crossing Airlines has no effect on the direction of Bank Rakyat i.e., Bank Rakyat and Global Crossing go up and down completely randomly.
Pair Corralation between Bank Rakyat and Global Crossing
Assuming the 90 days horizon Bank Rakyat is expected to generate 0.37 times more return on investment than Global Crossing. However, Bank Rakyat is 2.69 times less risky than Global Crossing. It trades about 0.0 of its potential returns per unit of risk. Global Crossing Airlines is currently generating about -0.01 per unit of risk. If you would invest 1,416 in Bank Rakyat on November 2, 2024 and sell it today you would lose (140.00) from holding Bank Rakyat or give up 9.89% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank Rakyat vs. Global Crossing Airlines
Performance |
| Timeline |
| Bank Rakyat |
| Global Crossing Airlines |
Bank Rakyat and Global Crossing Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank Rakyat and Global Crossing
The main advantage of trading using opposite Bank Rakyat and Global Crossing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Rakyat position performs unexpectedly, Global Crossing 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 Global Crossing will offset losses from the drop in Global Crossing's long position.| Bank Rakyat vs. Bank Mandiri Persero | Bank Rakyat vs. Eurobank Ergasias Services | Bank Rakyat vs. Nedbank Group | Bank Rakyat vs. Standard Bank Group |
| Global Crossing vs. Finnair Oyj | Global Crossing vs. easyJet plc | Global Crossing vs. Norse Atlantic ASA | Global Crossing vs. Air New Zealand |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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