Correlation Between Pelita Samudera and Chandra Asri
Can any of the company-specific risk be diversified away by investing in both Pelita Samudera and Chandra Asri 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 Pelita Samudera and Chandra Asri into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pelita Samudera Shipping and Chandra Asri Petrochemical, you can compare the effects of market volatilities on Pelita Samudera and Chandra Asri 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 Pelita Samudera with a short position of Chandra Asri. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pelita Samudera and Chandra Asri.
Diversification Opportunities for Pelita Samudera and Chandra Asri
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Pelita and Chandra is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Pelita Samudera Shipping and Chandra Asri Petrochemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chandra Asri Petroch and Pelita Samudera 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 Pelita Samudera Shipping are associated (or correlated) with Chandra Asri. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chandra Asri Petroch has no effect on the direction of Pelita Samudera i.e., Pelita Samudera and Chandra Asri go up and down completely randomly.
Pair Corralation between Pelita Samudera and Chandra Asri
Assuming the 90 days trading horizon Pelita Samudera Shipping is expected to generate 0.18 times more return on investment than Chandra Asri. However, Pelita Samudera Shipping is 5.54 times less risky than Chandra Asri. It trades about -0.05 of its potential returns per unit of risk. Chandra Asri Petrochemical is currently generating about -0.03 per unit of risk. If you would invest 43,000 in Pelita Samudera Shipping on September 15, 2024 and sell it today you would lose (1,000.00) from holding Pelita Samudera Shipping or give up 2.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Pelita Samudera Shipping vs. Chandra Asri Petrochemical
Performance |
Timeline |
Pelita Samudera Shipping |
Chandra Asri Petroch |
Pelita Samudera and Chandra Asri Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pelita Samudera and Chandra Asri
The main advantage of trading using opposite Pelita Samudera and Chandra Asri positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pelita Samudera position performs unexpectedly, Chandra Asri 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 Chandra Asri will offset losses from the drop in Chandra Asri's long position.Pelita Samudera vs. PT Indonesia Kendaraan | Pelita Samudera vs. Surya Toto Indonesia | Pelita Samudera vs. Mitra Pinasthika Mustika | Pelita Samudera vs. Integra Indocabinet 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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