Correlation Between Sinergi Inti and Sumber Tani
Can any of the company-specific risk be diversified away by investing in both Sinergi Inti and Sumber Tani 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 Sinergi Inti and Sumber Tani into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sinergi Inti Plastindo and Sumber Tani Agung, you can compare the effects of market volatilities on Sinergi Inti and Sumber Tani 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 Sinergi Inti with a short position of Sumber Tani. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sinergi Inti and Sumber Tani.
Diversification Opportunities for Sinergi Inti and Sumber Tani
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Sinergi and Sumber is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Sinergi Inti Plastindo and Sumber Tani Agung in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sumber Tani Agung and Sinergi Inti 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 Sinergi Inti Plastindo are associated (or correlated) with Sumber Tani. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sumber Tani Agung has no effect on the direction of Sinergi Inti i.e., Sinergi Inti and Sumber Tani go up and down completely randomly.
Pair Corralation between Sinergi Inti and Sumber Tani
Assuming the 90 days trading horizon Sinergi Inti Plastindo is expected to under-perform the Sumber Tani. In addition to that, Sinergi Inti is 2.52 times more volatile than Sumber Tani Agung. It trades about -0.08 of its total potential returns per unit of risk. Sumber Tani Agung is currently generating about -0.12 per unit of volatility. If you would invest 91,500 in Sumber Tani Agung on October 25, 2024 and sell it today you would lose (9,500) from holding Sumber Tani Agung or give up 10.38% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sinergi Inti Plastindo vs. Sumber Tani Agung
Performance |
Timeline |
Sinergi Inti Plastindo |
Sumber Tani Agung |
Sinergi Inti and Sumber Tani Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sinergi Inti and Sumber Tani
The main advantage of trading using opposite Sinergi Inti and Sumber Tani positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sinergi Inti position performs unexpectedly, Sumber Tani 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 Sumber Tani will offset losses from the drop in Sumber Tani's long position.Sinergi Inti vs. Lotte Chemical Titan | Sinergi Inti vs. Agro Yasa Lestari | Sinergi Inti vs. Era Mandiri Cemerlang | Sinergi Inti vs. Jasnita Telekomindo Tbk |
Sumber Tani vs. Triputra Agro Persada | Sumber Tani vs. Dayamitra Telekomunikasi PT | Sumber Tani vs. RMK Energy PT | Sumber Tani vs. Dharma Satya Nusantara |
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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