Correlation Between Lion Metal and Pertamina Geothermal
Can any of the company-specific risk be diversified away by investing in both Lion Metal and Pertamina Geothermal 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 Lion Metal and Pertamina Geothermal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lion Metal Works and Pertamina Geothermal Energy, you can compare the effects of market volatilities on Lion Metal and Pertamina Geothermal 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 Lion Metal with a short position of Pertamina Geothermal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lion Metal and Pertamina Geothermal.
Diversification Opportunities for Lion Metal and Pertamina Geothermal
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Lion and Pertamina is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Lion Metal Works and Pertamina Geothermal Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pertamina Geothermal and Lion Metal 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 Lion Metal Works are associated (or correlated) with Pertamina Geothermal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pertamina Geothermal has no effect on the direction of Lion Metal i.e., Lion Metal and Pertamina Geothermal go up and down completely randomly.
Pair Corralation between Lion Metal and Pertamina Geothermal
Assuming the 90 days trading horizon Lion Metal Works is expected to under-perform the Pertamina Geothermal. In addition to that, Lion Metal is 2.58 times more volatile than Pertamina Geothermal Energy. It trades about -0.12 of its total potential returns per unit of risk. Pertamina Geothermal Energy is currently generating about -0.16 per unit of volatility. If you would invest 112,000 in Pertamina Geothermal Energy on September 17, 2024 and sell it today you would lose (16,500) from holding Pertamina Geothermal Energy or give up 14.73% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Lion Metal Works vs. Pertamina Geothermal Energy
Performance |
Timeline |
Lion Metal Works |
Pertamina Geothermal |
Lion Metal and Pertamina Geothermal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lion Metal and Pertamina Geothermal
The main advantage of trading using opposite Lion Metal and Pertamina Geothermal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lion Metal position performs unexpectedly, Pertamina Geothermal 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 Pertamina Geothermal will offset losses from the drop in Pertamina Geothermal's long position.Lion Metal vs. Lionmesh Prima Tbk | Lion Metal vs. Pelangi Indah Canindo | Lion Metal vs. Indal Aluminium Industry | Lion Metal vs. Intanwijaya Internasional 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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