Correlation Between Langgeng Makmur and Berlina Tbk
Can any of the company-specific risk be diversified away by investing in both Langgeng Makmur and Berlina Tbk 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 Langgeng Makmur and Berlina Tbk into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Langgeng Makmur Industri and Berlina Tbk, you can compare the effects of market volatilities on Langgeng Makmur and Berlina Tbk 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 Langgeng Makmur with a short position of Berlina Tbk. Check out your portfolio center. Please also check ongoing floating volatility patterns of Langgeng Makmur and Berlina Tbk.
Diversification Opportunities for Langgeng Makmur and Berlina Tbk
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Langgeng and Berlina is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Langgeng Makmur Industri and Berlina Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Berlina Tbk and Langgeng Makmur 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 Langgeng Makmur Industri are associated (or correlated) with Berlina Tbk. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Berlina Tbk has no effect on the direction of Langgeng Makmur i.e., Langgeng Makmur and Berlina Tbk go up and down completely randomly.
Pair Corralation between Langgeng Makmur and Berlina Tbk
Assuming the 90 days trading horizon Langgeng Makmur Industri is expected to generate 2.17 times more return on investment than Berlina Tbk. However, Langgeng Makmur is 2.17 times more volatile than Berlina Tbk. It trades about 0.07 of its potential returns per unit of risk. Berlina Tbk is currently generating about 0.05 per unit of risk. If you would invest 11,300 in Langgeng Makmur Industri on October 26, 2024 and sell it today you would earn a total of 2,200 from holding Langgeng Makmur Industri or generate 19.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Langgeng Makmur Industri vs. Berlina Tbk
Performance |
Timeline |
Langgeng Makmur Industri |
Berlina Tbk |
Langgeng Makmur and Berlina Tbk Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Langgeng Makmur and Berlina Tbk
The main advantage of trading using opposite Langgeng Makmur and Berlina Tbk positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Langgeng Makmur position performs unexpectedly, Berlina Tbk 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 Berlina Tbk will offset losses from the drop in Berlina Tbk's long position.Langgeng Makmur vs. Kedaung Indah Can | Langgeng Makmur vs. Kedawung Setia Industrial | Langgeng Makmur vs. Mustika Ratu Tbk | Langgeng Makmur vs. Pyridam Farma Tbk |
Berlina Tbk vs. Argha Karya Prima | Berlina Tbk vs. Asiaplast Industries Tbk | Berlina Tbk vs. Betonjaya Manunggal Tbk | Berlina Tbk vs. Champion Pacific Indonesia |
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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