Correlation Between Telkom Indonesia and Telephone
Can any of the company-specific risk be diversified away by investing in both Telkom Indonesia and Telephone 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 Telephone 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 Telephone and Data, you can compare the effects of market volatilities on Telkom Indonesia and Telephone 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 Telephone. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telkom Indonesia and Telephone.
Diversification Opportunities for Telkom Indonesia and Telephone
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Telkom and Telephone is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding Telkom Indonesia Tbk and Telephone and Data in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Telephone and Data 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 Telephone. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Telephone and Data has no effect on the direction of Telkom Indonesia i.e., Telkom Indonesia and Telephone go up and down completely randomly.
Pair Corralation between Telkom Indonesia and Telephone
Considering the 90-day investment horizon Telkom Indonesia Tbk is expected to under-perform the Telephone. In addition to that, Telkom Indonesia is 2.03 times more volatile than Telephone and Data. It trades about -0.1 of its total potential returns per unit of risk. Telephone and Data is currently generating about 0.4 per unit of volatility. If you would invest 3,600 in Telephone and Data on November 19, 2024 and sell it today you would earn a total of 350.00 from holding Telephone and Data or generate 9.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Telkom Indonesia Tbk vs. Telephone and Data
Performance |
Timeline |
Telkom Indonesia Tbk |
Telephone and Data |
Telkom Indonesia and Telephone Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telkom Indonesia and Telephone
The main advantage of trading using opposite Telkom Indonesia and Telephone positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telkom Indonesia position performs unexpectedly, Telephone 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 Telephone will offset losses from the drop in Telephone's long position.Telkom Indonesia vs. Liberty Global PLC | Telkom Indonesia vs. Liberty Latin America | Telkom Indonesia vs. Liberty Latin America | Telkom Indonesia vs. Liberty Broadband Srs |
Telephone vs. Telephone and Data | Telephone vs. Shenandoah Telecommunications Co | Telephone vs. WideOpenWest | Telephone vs. ATN International |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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