Correlation Between BFI Finance and Tower Bersama
Can any of the company-specific risk be diversified away by investing in both BFI Finance 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 BFI Finance and Tower Bersama into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BFI Finance Indonesia and Tower Bersama Infrastructure, you can compare the effects of market volatilities on BFI Finance 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 BFI Finance with a short position of Tower Bersama. Check out your portfolio center. Please also check ongoing floating volatility patterns of BFI Finance and Tower Bersama.
Diversification Opportunities for BFI Finance and Tower Bersama
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between BFI and Tower is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding BFI Finance Indonesia 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 BFI Finance 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 BFI Finance Indonesia 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 BFI Finance i.e., BFI Finance and Tower Bersama go up and down completely randomly.
Pair Corralation between BFI Finance and Tower Bersama
Assuming the 90 days trading horizon BFI Finance Indonesia is expected to under-perform the Tower Bersama. In addition to that, BFI Finance is 1.67 times more volatile than Tower Bersama Infrastructure. It trades about -0.11 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 29, 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 Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
BFI Finance Indonesia vs. Tower Bersama Infrastructure
Performance |
Timeline |
BFI Finance Indonesia |
Tower Bersama Infras |
BFI Finance and Tower Bersama Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BFI Finance and Tower Bersama
The main advantage of trading using opposite BFI Finance and Tower Bersama positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BFI Finance 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.BFI Finance vs. Adira Dinamika Multi | BFI Finance vs. Clipan Finance Indonesia | BFI Finance vs. Sumber Alfaria Trijaya | BFI Finance vs. Bank Permata Tbk |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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