Correlation Between Putra Rajawali and Pelita Samudera
Can any of the company-specific risk be diversified away by investing in both Putra Rajawali and Pelita Samudera 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 Putra Rajawali and Pelita Samudera into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Putra Rajawali Kencana and Pelita Samudera Shipping, you can compare the effects of market volatilities on Putra Rajawali and Pelita Samudera 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 Putra Rajawali with a short position of Pelita Samudera. Check out your portfolio center. Please also check ongoing floating volatility patterns of Putra Rajawali and Pelita Samudera.
Diversification Opportunities for Putra Rajawali and Pelita Samudera
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Putra and Pelita is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Putra Rajawali Kencana and Pelita Samudera Shipping in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pelita Samudera Shipping and Putra Rajawali 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 Putra Rajawali Kencana are associated (or correlated) with Pelita Samudera. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pelita Samudera Shipping has no effect on the direction of Putra Rajawali i.e., Putra Rajawali and Pelita Samudera go up and down completely randomly.
Pair Corralation between Putra Rajawali and Pelita Samudera
Assuming the 90 days trading horizon Putra Rajawali Kencana is expected to generate 6.79 times more return on investment than Pelita Samudera. However, Putra Rajawali is 6.79 times more volatile than Pelita Samudera Shipping. It trades about 0.06 of its potential returns per unit of risk. Pelita Samudera Shipping is currently generating about -0.06 per unit of risk. If you would invest 1,400 in Putra Rajawali Kencana on October 11, 2024 and sell it today you would earn a total of 100.00 from holding Putra Rajawali Kencana or generate 7.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 97.44% |
Values | Daily Returns |
Putra Rajawali Kencana vs. Pelita Samudera Shipping
Performance |
Timeline |
Putra Rajawali Kencana |
Pelita Samudera Shipping |
Putra Rajawali and Pelita Samudera Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Putra Rajawali and Pelita Samudera
The main advantage of trading using opposite Putra Rajawali and Pelita Samudera positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Putra Rajawali position performs unexpectedly, Pelita Samudera 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 Pelita Samudera will offset losses from the drop in Pelita Samudera's long position.Putra Rajawali vs. Sriwahana | Putra Rajawali vs. PT Trimuda Nuansa | Putra Rajawali vs. Yelooo Integra Datanet | Putra Rajawali vs. Transcoal Pacific Tbk |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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