Correlation Between Ladangbaja Murni and PAM Mineral
Can any of the company-specific risk be diversified away by investing in both Ladangbaja Murni and PAM Mineral 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 Ladangbaja Murni and PAM Mineral into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ladangbaja Murni PT and PAM Mineral Tbk, you can compare the effects of market volatilities on Ladangbaja Murni and PAM Mineral 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 Ladangbaja Murni with a short position of PAM Mineral. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ladangbaja Murni and PAM Mineral.
Diversification Opportunities for Ladangbaja Murni and PAM Mineral
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Ladangbaja and PAM is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Ladangbaja Murni PT and PAM Mineral Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PAM Mineral Tbk and Ladangbaja Murni 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 Ladangbaja Murni PT are associated (or correlated) with PAM Mineral. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PAM Mineral Tbk has no effect on the direction of Ladangbaja Murni i.e., Ladangbaja Murni and PAM Mineral go up and down completely randomly.
Pair Corralation between Ladangbaja Murni and PAM Mineral
Assuming the 90 days trading horizon Ladangbaja Murni PT is expected to generate 1.91 times more return on investment than PAM Mineral. However, Ladangbaja Murni is 1.91 times more volatile than PAM Mineral Tbk. It trades about 0.11 of its potential returns per unit of risk. PAM Mineral Tbk is currently generating about 0.1 per unit of risk. If you would invest 14,600 in Ladangbaja Murni PT on September 1, 2024 and sell it today you would earn a total of 16,400 from holding Ladangbaja Murni PT or generate 112.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 99.21% |
Values | Daily Returns |
Ladangbaja Murni PT vs. PAM Mineral Tbk
Performance |
Timeline |
Ladangbaja Murni |
PAM Mineral Tbk |
Ladangbaja Murni and PAM Mineral Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ladangbaja Murni and PAM Mineral
The main advantage of trading using opposite Ladangbaja Murni and PAM Mineral positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ladangbaja Murni position performs unexpectedly, PAM Mineral 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 PAM Mineral will offset losses from the drop in PAM Mineral's long position.Ladangbaja Murni vs. PAM Mineral Tbk | Ladangbaja Murni vs. Nusa Palapa Gemilang | Ladangbaja Murni vs. Diagnos Laboratorium Utama | Ladangbaja Murni vs. PT Sunter Lakeside |
PAM Mineral vs. Archi Indonesia Tbk | PAM Mineral vs. Bumi Resources Minerals | PAM Mineral vs. Bank Panin Syariah | PAM Mineral vs. Central Omega Resources |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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