Correlation Between Satyamitra Kemas and Jasnita Telekomindo
Can any of the company-specific risk be diversified away by investing in both Satyamitra Kemas and Jasnita Telekomindo 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 Satyamitra Kemas and Jasnita Telekomindo into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Satyamitra Kemas Lestari and Jasnita Telekomindo Tbk, you can compare the effects of market volatilities on Satyamitra Kemas and Jasnita Telekomindo 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 Satyamitra Kemas with a short position of Jasnita Telekomindo. Check out your portfolio center. Please also check ongoing floating volatility patterns of Satyamitra Kemas and Jasnita Telekomindo.
Diversification Opportunities for Satyamitra Kemas and Jasnita Telekomindo
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Satyamitra and Jasnita is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Satyamitra Kemas Lestari and Jasnita Telekomindo Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jasnita Telekomindo Tbk and Satyamitra Kemas 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 Satyamitra Kemas Lestari are associated (or correlated) with Jasnita Telekomindo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jasnita Telekomindo Tbk has no effect on the direction of Satyamitra Kemas i.e., Satyamitra Kemas and Jasnita Telekomindo go up and down completely randomly.
Pair Corralation between Satyamitra Kemas and Jasnita Telekomindo
Assuming the 90 days trading horizon Satyamitra Kemas Lestari is expected to generate 0.82 times more return on investment than Jasnita Telekomindo. However, Satyamitra Kemas Lestari is 1.22 times less risky than Jasnita Telekomindo. It trades about -0.05 of its potential returns per unit of risk. Jasnita Telekomindo Tbk is currently generating about -0.12 per unit of risk. If you would invest 16,500 in Satyamitra Kemas Lestari on September 19, 2024 and sell it today you would lose (500.00) from holding Satyamitra Kemas Lestari or give up 3.03% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Satyamitra Kemas Lestari vs. Jasnita Telekomindo Tbk
Performance |
Timeline |
Satyamitra Kemas Lestari |
Jasnita Telekomindo Tbk |
Satyamitra Kemas and Jasnita Telekomindo Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Satyamitra Kemas and Jasnita Telekomindo
The main advantage of trading using opposite Satyamitra Kemas and Jasnita Telekomindo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Satyamitra Kemas position performs unexpectedly, Jasnita Telekomindo 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 Jasnita Telekomindo will offset losses from the drop in Jasnita Telekomindo's long position.Satyamitra Kemas vs. Lotte Chemical Titan | Satyamitra Kemas vs. Agro Yasa Lestari | Satyamitra Kemas vs. Era Mandiri Cemerlang | Satyamitra Kemas vs. Jasnita Telekomindo 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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