Correlation Between Sarana Meditama and Mitra Keluarga
Can any of the company-specific risk be diversified away by investing in both Sarana Meditama and Mitra Keluarga 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 Sarana Meditama and Mitra Keluarga into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sarana Meditama Metropolitan and Mitra Keluarga Karyasehat, you can compare the effects of market volatilities on Sarana Meditama and Mitra Keluarga 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 Sarana Meditama with a short position of Mitra Keluarga. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sarana Meditama and Mitra Keluarga.
Diversification Opportunities for Sarana Meditama and Mitra Keluarga
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between Sarana and Mitra is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Sarana Meditama Metropolitan and Mitra Keluarga Karyasehat in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mitra Keluarga Karyasehat and Sarana Meditama 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 Sarana Meditama Metropolitan are associated (or correlated) with Mitra Keluarga. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mitra Keluarga Karyasehat has no effect on the direction of Sarana Meditama i.e., Sarana Meditama and Mitra Keluarga go up and down completely randomly.
Pair Corralation between Sarana Meditama and Mitra Keluarga
Assuming the 90 days trading horizon Sarana Meditama Metropolitan is expected to generate 1.6 times more return on investment than Mitra Keluarga. However, Sarana Meditama is 1.6 times more volatile than Mitra Keluarga Karyasehat. It trades about 0.08 of its potential returns per unit of risk. Mitra Keluarga Karyasehat is currently generating about -0.08 per unit of risk. If you would invest 26,400 in Sarana Meditama Metropolitan on December 30, 2024 and sell it today you would earn a total of 3,800 from holding Sarana Meditama Metropolitan or generate 14.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sarana Meditama Metropolitan vs. Mitra Keluarga Karyasehat
Performance |
Timeline |
Sarana Meditama Metr |
Mitra Keluarga Karyasehat |
Sarana Meditama and Mitra Keluarga Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sarana Meditama and Mitra Keluarga
The main advantage of trading using opposite Sarana Meditama and Mitra Keluarga positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sarana Meditama position performs unexpectedly, Mitra Keluarga 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 Mitra Keluarga will offset losses from the drop in Mitra Keluarga's long position.Sarana Meditama vs. Siloam International Hospitals | Sarana Meditama vs. Mitra Keluarga Karyasehat | Sarana Meditama vs. Adi Sarana Armada | Sarana Meditama vs. Elang Mahkota Teknologi |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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