Correlation Between Telkom Indonesia and Amerigo Resources
Can any of the company-specific risk be diversified away by investing in both Telkom Indonesia and Amerigo Resources 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 Amerigo Resources 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 Amerigo Resources, you can compare the effects of market volatilities on Telkom Indonesia and Amerigo Resources 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 Amerigo Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telkom Indonesia and Amerigo Resources.
Diversification Opportunities for Telkom Indonesia and Amerigo Resources
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Telkom and Amerigo is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Telkom Indonesia Tbk and Amerigo Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amerigo Resources 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 Amerigo Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amerigo Resources has no effect on the direction of Telkom Indonesia i.e., Telkom Indonesia and Amerigo Resources go up and down completely randomly.
Pair Corralation between Telkom Indonesia and Amerigo Resources
Assuming the 90 days horizon Telkom Indonesia Tbk is expected to under-perform the Amerigo Resources. But the pink sheet apears to be less risky and, when comparing its historical volatility, Telkom Indonesia Tbk is 1.13 times less risky than Amerigo Resources. The pink sheet trades about -0.22 of its potential returns per unit of risk. The Amerigo Resources is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 115.00 in Amerigo Resources on July 2, 2024 and sell it today you would earn a total of 13.00 from holding Amerigo Resources or generate 11.3% 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. Amerigo Resources
Performance |
Timeline |
Telkom Indonesia Tbk |
Amerigo Resources |
Telkom Indonesia and Amerigo Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telkom Indonesia and Amerigo Resources
The main advantage of trading using opposite Telkom Indonesia and Amerigo Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telkom Indonesia position performs unexpectedly, Amerigo Resources 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 Amerigo Resources will offset losses from the drop in Amerigo Resources' long position.Telkom Indonesia vs. Telia Company AB | Telkom Indonesia vs. Vodafone Group PLC | Telkom Indonesia vs. KDDI Corp | Telkom Indonesia vs. Amrica Mvil, SAB |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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