Correlation Between PT Sarana and Mitra Keluarga
Can any of the company-specific risk be diversified away by investing in both PT Sarana 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 PT Sarana and Mitra Keluarga into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Sarana Menara and Mitra Keluarga Karyasehat, you can compare the effects of market volatilities on PT Sarana 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 PT Sarana with a short position of Mitra Keluarga. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Sarana and Mitra Keluarga.
Diversification Opportunities for PT Sarana and Mitra Keluarga
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between TOWR and Mitra is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding PT Sarana Menara 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 PT Sarana 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 PT Sarana Menara 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 PT Sarana i.e., PT Sarana and Mitra Keluarga go up and down completely randomly.
Pair Corralation between PT Sarana and Mitra Keluarga
Assuming the 90 days trading horizon PT Sarana Menara is expected to under-perform the Mitra Keluarga. In addition to that, PT Sarana is 1.22 times more volatile than Mitra Keluarga Karyasehat. It trades about -0.13 of its total potential returns per unit of risk. Mitra Keluarga Karyasehat is currently generating about -0.08 per unit of volatility. If you would invest 254,000 in Mitra Keluarga Karyasehat on December 30, 2024 and sell it today you would lose (30,000) from holding Mitra Keluarga Karyasehat or give up 11.81% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PT Sarana Menara vs. Mitra Keluarga Karyasehat
Performance |
Timeline |
PT Sarana Menara |
Mitra Keluarga Karyasehat |
PT Sarana and Mitra Keluarga Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Sarana and Mitra Keluarga
The main advantage of trading using opposite PT Sarana and Mitra Keluarga positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Sarana 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.PT Sarana vs. Tower Bersama Infrastructure | PT Sarana vs. Merdeka Copper Gold | PT Sarana vs. XL Axiata Tbk | PT Sarana vs. Japfa Comfeed Indonesia |
Mitra Keluarga vs. Merdeka Copper Gold | Mitra Keluarga vs. Tower Bersama Infrastructure | Mitra Keluarga vs. Erajaya Swasembada Tbk | Mitra Keluarga vs. Surya Citra Media |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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