Correlation Between Pabrik Kertas and Tower Bersama
Can any of the company-specific risk be diversified away by investing in both Pabrik Kertas and Tower Bersama 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 Pabrik Kertas and Tower Bersama into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pabrik Kertas Tjiwi and Tower Bersama Infrastructure, you can compare the effects of market volatilities on Pabrik Kertas and Tower Bersama 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 Pabrik Kertas with a short position of Tower Bersama. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pabrik Kertas and Tower Bersama.
Diversification Opportunities for Pabrik Kertas and Tower Bersama
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Pabrik and Tower is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Pabrik Kertas Tjiwi and Tower Bersama Infrastructure in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tower Bersama Infras and Pabrik Kertas 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 Pabrik Kertas Tjiwi are associated (or correlated) with Tower Bersama. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tower Bersama Infras has no effect on the direction of Pabrik Kertas i.e., Pabrik Kertas and Tower Bersama go up and down completely randomly.
Pair Corralation between Pabrik Kertas and Tower Bersama
Assuming the 90 days trading horizon Pabrik Kertas Tjiwi is expected to under-perform the Tower Bersama. In addition to that, Pabrik Kertas is 2.04 times more volatile than Tower Bersama Infrastructure. It trades about -0.12 of its total potential returns per unit of risk. Tower Bersama Infrastructure is currently generating about -0.07 per unit of volatility. If you would invest 210,000 in Tower Bersama Infrastructure on December 30, 2024 and sell it today you would lose (11,000) from holding Tower Bersama Infrastructure or give up 5.24% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Pabrik Kertas Tjiwi vs. Tower Bersama Infrastructure
Performance |
Timeline |
Pabrik Kertas Tjiwi |
Tower Bersama Infras |
Pabrik Kertas and Tower Bersama Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pabrik Kertas and Tower Bersama
The main advantage of trading using opposite Pabrik Kertas and Tower Bersama positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pabrik Kertas position performs unexpectedly, Tower Bersama 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 Tower Bersama will offset losses from the drop in Tower Bersama's long position.Pabrik Kertas vs. Indah Kiat Pulp | Pabrik Kertas vs. Indocement Tunggal Prakarsa | Pabrik Kertas vs. Barito Pacific Tbk | Pabrik Kertas vs. Charoen Pokphand Indonesia |
Tower Bersama vs. PT Sarana Menara | Tower Bersama vs. XL Axiata Tbk | Tower Bersama vs. Merdeka Copper Gold | Tower Bersama 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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