Correlation Between Alumindo Light and Lion Metal
Can any of the company-specific risk be diversified away by investing in both Alumindo Light and Lion Metal 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 Alumindo Light and Lion Metal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alumindo Light Metal and Lion Metal Works, you can compare the effects of market volatilities on Alumindo Light and Lion Metal 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 Alumindo Light with a short position of Lion Metal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alumindo Light and Lion Metal.
Diversification Opportunities for Alumindo Light and Lion Metal
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Alumindo and Lion is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Alumindo Light Metal and Lion Metal Works in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lion Metal Works and Alumindo Light 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 Alumindo Light Metal are associated (or correlated) with Lion Metal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lion Metal Works has no effect on the direction of Alumindo Light i.e., Alumindo Light and Lion Metal go up and down completely randomly.
Pair Corralation between Alumindo Light and Lion Metal
Assuming the 90 days trading horizon Alumindo Light Metal is expected to generate 0.85 times more return on investment than Lion Metal. However, Alumindo Light Metal is 1.17 times less risky than Lion Metal. It trades about 0.01 of its potential returns per unit of risk. Lion Metal Works is currently generating about -0.12 per unit of risk. If you would invest 7,500 in Alumindo Light Metal on September 14, 2024 and sell it today you would lose (100.00) from holding Alumindo Light Metal or give up 1.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Alumindo Light Metal vs. Lion Metal Works
Performance |
Timeline |
Alumindo Light Metal |
Lion Metal Works |
Alumindo Light and Lion Metal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alumindo Light and Lion Metal
The main advantage of trading using opposite Alumindo Light and Lion Metal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alumindo Light position performs unexpectedly, Lion Metal 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 Lion Metal will offset losses from the drop in Lion Metal's long position.Alumindo Light vs. Asiaplast Industries Tbk | Alumindo Light vs. Argha Karya Prima | Alumindo Light vs. Indal Aluminium Industry | Alumindo Light vs. Alakasa Industrindo Tbk |
Lion Metal vs. Lionmesh Prima Tbk | Lion Metal vs. Pelangi Indah Canindo | Lion Metal vs. Indal Aluminium Industry | Lion Metal vs. Intanwijaya Internasional Tbk |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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