Correlation Between Langgeng Makmur and Prasidha Aneka
Can any of the company-specific risk be diversified away by investing in both Langgeng Makmur and Prasidha Aneka 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 Prasidha Aneka 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 Prasidha Aneka Niaga, you can compare the effects of market volatilities on Langgeng Makmur and Prasidha Aneka 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 Prasidha Aneka. Check out your portfolio center. Please also check ongoing floating volatility patterns of Langgeng Makmur and Prasidha Aneka.
Diversification Opportunities for Langgeng Makmur and Prasidha Aneka
-0.66 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Langgeng and Prasidha is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding Langgeng Makmur Industri and Prasidha Aneka Niaga in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prasidha Aneka Niaga 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 Prasidha Aneka. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prasidha Aneka Niaga has no effect on the direction of Langgeng Makmur i.e., Langgeng Makmur and Prasidha Aneka go up and down completely randomly.
Pair Corralation between Langgeng Makmur and Prasidha Aneka
Assuming the 90 days trading horizon Langgeng Makmur Industri is expected to generate 5.96 times more return on investment than Prasidha Aneka. However, Langgeng Makmur is 5.96 times more volatile than Prasidha Aneka Niaga. It trades about 0.16 of its potential returns per unit of risk. Prasidha Aneka Niaga is currently generating about -0.09 per unit of risk. If you would invest 8,000 in Langgeng Makmur Industri on September 17, 2024 and sell it today you would earn a total of 8,800 from holding Langgeng Makmur Industri or generate 110.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Langgeng Makmur Industri vs. Prasidha Aneka Niaga
Performance |
Timeline |
Langgeng Makmur Industri |
Prasidha Aneka Niaga |
Langgeng Makmur and Prasidha Aneka Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Langgeng Makmur and Prasidha Aneka
The main advantage of trading using opposite Langgeng Makmur and Prasidha Aneka positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Langgeng Makmur position performs unexpectedly, Prasidha Aneka 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 Prasidha Aneka will offset losses from the drop in Prasidha Aneka's long position.Langgeng Makmur vs. Pembangunan Graha Lestari | Langgeng Makmur vs. Pembangunan Jaya Ancol | Langgeng Makmur vs. Hotel Sahid Jaya | Langgeng Makmur vs. Mitrabara Adiperdana PT |
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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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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