Correlation Between Pelayaran Kurnia and Bank Central
Can any of the company-specific risk be diversified away by investing in both Pelayaran Kurnia and Bank Central 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 Central 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 Central Asia, you can compare the effects of market volatilities on Pelayaran Kurnia and Bank Central 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 Central. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pelayaran Kurnia and Bank Central.
Diversification Opportunities for Pelayaran Kurnia and Bank Central
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Pelayaran and Bank is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Pelayaran Kurnia Lautan and Bank Central Asia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Central Asia 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 Central. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Central Asia has no effect on the direction of Pelayaran Kurnia i.e., Pelayaran Kurnia and Bank Central go up and down completely randomly.
Pair Corralation between Pelayaran Kurnia and Bank Central
Assuming the 90 days trading horizon Pelayaran Kurnia Lautan is expected to generate 4.14 times more return on investment than Bank Central. However, Pelayaran Kurnia is 4.14 times more volatile than Bank Central Asia. It trades about 0.02 of its potential returns per unit of risk. Bank Central Asia is currently generating about -0.08 per unit of risk. If you would invest 11,077 in Pelayaran Kurnia Lautan on September 20, 2024 and sell it today you would lose (377.00) from holding Pelayaran Kurnia Lautan or give up 3.4% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Pelayaran Kurnia Lautan vs. Bank Central Asia
Performance |
Timeline |
Pelayaran Kurnia Lautan |
Bank Central Asia |
Pelayaran Kurnia and Bank Central Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pelayaran Kurnia and Bank Central
The main advantage of trading using opposite Pelayaran Kurnia and Bank Central positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pelayaran Kurnia position performs unexpectedly, Bank Central 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 Central will offset losses from the drop in Bank Central'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 Central vs. Bank Rakyat Indonesia | Bank Central vs. Bank Mandiri Persero | Bank Central vs. Bank Negara Indonesia | Bank Central 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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