Correlation Between Telkom Indonesia and Fks Multi
Can any of the company-specific risk be diversified away by investing in both Telkom Indonesia and Fks Multi 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 Telkom Indonesia and Fks Multi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Telkom Indonesia Tbk and Fks Multi Agro, you can compare the effects of market volatilities on Telkom Indonesia and Fks Multi 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 Telkom Indonesia with a short position of Fks Multi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telkom Indonesia and Fks Multi.
Diversification Opportunities for Telkom Indonesia and Fks Multi
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Telkom and Fks is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Telkom Indonesia Tbk and Fks Multi Agro in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fks Multi Agro and Telkom Indonesia 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 Telkom Indonesia Tbk are associated (or correlated) with Fks Multi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fks Multi Agro has no effect on the direction of Telkom Indonesia i.e., Telkom Indonesia and Fks Multi go up and down completely randomly.
Pair Corralation between Telkom Indonesia and Fks Multi
Assuming the 90 days trading horizon Telkom Indonesia Tbk is expected to under-perform the Fks Multi. In addition to that, Telkom Indonesia is 7.01 times more volatile than Fks Multi Agro. It trades about -0.06 of its total potential returns per unit of risk. Fks Multi Agro is currently generating about -0.13 per unit of volatility. If you would invest 1,065,000 in Fks Multi Agro on December 29, 2024 and sell it today you would lose (30,000) from holding Fks Multi Agro or give up 2.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Telkom Indonesia Tbk vs. Fks Multi Agro
Performance |
Timeline |
Telkom Indonesia Tbk |
Fks Multi Agro |
Telkom Indonesia and Fks Multi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telkom Indonesia and Fks Multi
The main advantage of trading using opposite Telkom Indonesia and Fks Multi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telkom Indonesia position performs unexpectedly, Fks Multi 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 Fks Multi will offset losses from the drop in Fks Multi's long position.Telkom Indonesia vs. Bali Towerindo Sentra | Telkom Indonesia vs. Dian Swastatika Sentosa | Telkom Indonesia vs. Humpuss Intermoda Transportasi | Telkom Indonesia vs. Solusi Tunas Pratama |
Fks Multi vs. Enseval Putra Megatrading | Fks Multi vs. Fast Food Indonesia | Fks Multi vs. Gema Grahasarana Tbk | Fks Multi vs. Colorpak Indonesia Tbk |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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