Correlation Between Mitra Keluarga and Agung Podomoro
Can any of the company-specific risk be diversified away by investing in both Mitra Keluarga and Agung Podomoro 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 Mitra Keluarga and Agung Podomoro into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mitra Keluarga Karyasehat and Agung Podomoro Land, you can compare the effects of market volatilities on Mitra Keluarga and Agung Podomoro 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 Mitra Keluarga with a short position of Agung Podomoro. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mitra Keluarga and Agung Podomoro.
Diversification Opportunities for Mitra Keluarga and Agung Podomoro
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Mitra and Agung is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Mitra Keluarga Karyasehat and Agung Podomoro Land in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Agung Podomoro Land and Mitra Keluarga 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 Mitra Keluarga Karyasehat are associated (or correlated) with Agung Podomoro. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Agung Podomoro Land has no effect on the direction of Mitra Keluarga i.e., Mitra Keluarga and Agung Podomoro go up and down completely randomly.
Pair Corralation between Mitra Keluarga and Agung Podomoro
Assuming the 90 days trading horizon Mitra Keluarga Karyasehat is expected to generate 0.87 times more return on investment than Agung Podomoro. However, Mitra Keluarga Karyasehat is 1.14 times less risky than Agung Podomoro. It trades about -0.02 of its potential returns per unit of risk. Agung Podomoro Land is currently generating about -0.03 per unit of risk. If you would invest 303,250 in Mitra Keluarga Karyasehat on October 12, 2024 and sell it today you would lose (66,250) from holding Mitra Keluarga Karyasehat or give up 21.85% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.79% |
Values | Daily Returns |
Mitra Keluarga Karyasehat vs. Agung Podomoro Land
Performance |
Timeline |
Mitra Keluarga Karyasehat |
Agung Podomoro Land |
Mitra Keluarga and Agung Podomoro Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mitra Keluarga and Agung Podomoro
The main advantage of trading using opposite Mitra Keluarga and Agung Podomoro positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mitra Keluarga position performs unexpectedly, Agung Podomoro 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 Agung Podomoro will offset losses from the drop in Agung Podomoro's long position.Mitra Keluarga vs. Merdeka Copper Gold | Mitra Keluarga vs. Erajaya Swasembada Tbk | Mitra Keluarga vs. Surya Citra Media | Mitra Keluarga vs. Siloam International Hospitals |
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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 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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