Correlation Between Jasnita Telekomindo and Wahana Inti
Can any of the company-specific risk be diversified away by investing in both Jasnita Telekomindo and Wahana Inti 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 Jasnita Telekomindo and Wahana Inti into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jasnita Telekomindo Tbk and Wahana Inti MakmurTbk, you can compare the effects of market volatilities on Jasnita Telekomindo and Wahana Inti 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 Jasnita Telekomindo with a short position of Wahana Inti. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jasnita Telekomindo and Wahana Inti.
Diversification Opportunities for Jasnita Telekomindo and Wahana Inti
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Jasnita and Wahana is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Jasnita Telekomindo Tbk and Wahana Inti MakmurTbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wahana Inti MakmurTbk and Jasnita Telekomindo 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 Jasnita Telekomindo Tbk are associated (or correlated) with Wahana Inti. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wahana Inti MakmurTbk has no effect on the direction of Jasnita Telekomindo i.e., Jasnita Telekomindo and Wahana Inti go up and down completely randomly.
Pair Corralation between Jasnita Telekomindo and Wahana Inti
Assuming the 90 days trading horizon Jasnita Telekomindo Tbk is expected to generate 2.19 times more return on investment than Wahana Inti. However, Jasnita Telekomindo is 2.19 times more volatile than Wahana Inti MakmurTbk. It trades about 0.03 of its potential returns per unit of risk. Wahana Inti MakmurTbk is currently generating about -0.18 per unit of risk. If you would invest 5,700 in Jasnita Telekomindo Tbk on December 23, 2024 and sell it today you would earn a total of 0.00 from holding Jasnita Telekomindo Tbk or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Jasnita Telekomindo Tbk vs. Wahana Inti MakmurTbk
Performance |
Timeline |
Jasnita Telekomindo Tbk |
Wahana Inti MakmurTbk |
Jasnita Telekomindo and Wahana Inti Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jasnita Telekomindo and Wahana Inti
The main advantage of trading using opposite Jasnita Telekomindo and Wahana Inti positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jasnita Telekomindo position performs unexpectedly, Wahana Inti 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 Wahana Inti will offset losses from the drop in Wahana Inti's long position.Jasnita Telekomindo vs. Borneo Olah Sarana | Jasnita Telekomindo vs. MNC Vision Networks | Jasnita Telekomindo vs. Alfa Energi Investama | Jasnita Telekomindo vs. Terregra Asia Energy |
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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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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