Correlation Between Pelayaran Kurnia and Bank Rakyat
Can any of the company-specific risk be diversified away by investing in both Pelayaran Kurnia and Bank Rakyat 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 Pelayaran Kurnia and Bank Rakyat into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pelayaran Kurnia Lautan and Bank Rakyat Indonesia, you can compare the effects of market volatilities on Pelayaran Kurnia and Bank Rakyat 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 Pelayaran Kurnia with a short position of Bank Rakyat. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pelayaran Kurnia and Bank Rakyat.
Diversification Opportunities for Pelayaran Kurnia and Bank Rakyat
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Pelayaran and Bank is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Pelayaran Kurnia Lautan and Bank Rakyat Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Rakyat Indonesia and Pelayaran Kurnia 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 Pelayaran Kurnia Lautan are associated (or correlated) with Bank Rakyat. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Rakyat Indonesia has no effect on the direction of Pelayaran Kurnia i.e., Pelayaran Kurnia and Bank Rakyat go up and down completely randomly.
Pair Corralation between Pelayaran Kurnia and Bank Rakyat
Assuming the 90 days trading horizon Pelayaran Kurnia Lautan is expected to under-perform the Bank Rakyat. In addition to that, Pelayaran Kurnia is 3.06 times more volatile than Bank Rakyat Indonesia. It trades about -0.31 of its total potential returns per unit of risk. Bank Rakyat Indonesia is currently generating about -0.11 per unit of volatility. If you would invest 440,000 in Bank Rakyat Indonesia on September 27, 2024 and sell it today you would lose (20,000) from holding Bank Rakyat Indonesia or give up 4.55% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Pelayaran Kurnia Lautan vs. Bank Rakyat Indonesia
Performance |
Timeline |
Pelayaran Kurnia Lautan |
Bank Rakyat Indonesia |
Pelayaran Kurnia and Bank Rakyat Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pelayaran Kurnia and Bank Rakyat
The main advantage of trading using opposite Pelayaran Kurnia and Bank Rakyat positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pelayaran Kurnia position performs unexpectedly, Bank Rakyat 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 Rakyat will offset losses from the drop in Bank Rakyat's long position.Pelayaran Kurnia vs. Bank Central Asia | Pelayaran Kurnia vs. Bank Rakyat Indonesia | Pelayaran Kurnia vs. Bayan Resources Tbk | Pelayaran Kurnia vs. Bank Mandiri Persero |
Bank Rakyat vs. Bank Central Asia | Bank Rakyat vs. Bank Mandiri Persero | Bank Rakyat vs. Bank Negara Indonesia | Bank Rakyat vs. Telkom Indonesia 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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