Correlation Between Telkom Indonesia and SEI INVESTMENTS
Can any of the company-specific risk be diversified away by investing in both Telkom Indonesia and SEI INVESTMENTS 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 SEI INVESTMENTS 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 SEI INVESTMENTS, you can compare the effects of market volatilities on Telkom Indonesia and SEI INVESTMENTS 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 SEI INVESTMENTS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telkom Indonesia and SEI INVESTMENTS.
Diversification Opportunities for Telkom Indonesia and SEI INVESTMENTS
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Telkom and SEI is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding Telkom Indonesia Tbk and SEI INVESTMENTS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SEI INVESTMENTS 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 SEI INVESTMENTS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SEI INVESTMENTS has no effect on the direction of Telkom Indonesia i.e., Telkom Indonesia and SEI INVESTMENTS go up and down completely randomly.
Pair Corralation between Telkom Indonesia and SEI INVESTMENTS
Assuming the 90 days trading horizon Telkom Indonesia Tbk is expected to under-perform the SEI INVESTMENTS. In addition to that, Telkom Indonesia is 3.82 times more volatile than SEI INVESTMENTS. It trades about -0.01 of its total potential returns per unit of risk. SEI INVESTMENTS is currently generating about 0.18 per unit of volatility. If you would invest 6,050 in SEI INVESTMENTS on September 21, 2024 and sell it today you would earn a total of 1,750 from holding SEI INVESTMENTS or generate 28.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 99.08% |
Values | Daily Returns |
Telkom Indonesia Tbk vs. SEI INVESTMENTS
Performance |
Timeline |
Telkom Indonesia Tbk |
SEI INVESTMENTS |
Telkom Indonesia and SEI INVESTMENTS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telkom Indonesia and SEI INVESTMENTS
The main advantage of trading using opposite Telkom Indonesia and SEI INVESTMENTS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telkom Indonesia position performs unexpectedly, SEI INVESTMENTS 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 SEI INVESTMENTS will offset losses from the drop in SEI INVESTMENTS's long position.Telkom Indonesia vs. SOLSTAD OFFSHORE NK | Telkom Indonesia vs. SIEM OFFSHORE NEW | Telkom Indonesia vs. LPKF Laser Electronics | Telkom Indonesia vs. BW OFFSHORE LTD |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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