Correlation Between Telkom Indonesia and SOFI TECHNOLOGIES
Can any of the company-specific risk be diversified away by investing in both Telkom Indonesia and SOFI TECHNOLOGIES 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 SOFI TECHNOLOGIES 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 SOFI TECHNOLOGIES, you can compare the effects of market volatilities on Telkom Indonesia and SOFI TECHNOLOGIES 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 SOFI TECHNOLOGIES. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telkom Indonesia and SOFI TECHNOLOGIES.
Diversification Opportunities for Telkom Indonesia and SOFI TECHNOLOGIES
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Telkom and SOFI is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding Telkom Indonesia Tbk and SOFI TECHNOLOGIES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SOFI TECHNOLOGIES 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 SOFI TECHNOLOGIES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SOFI TECHNOLOGIES has no effect on the direction of Telkom Indonesia i.e., Telkom Indonesia and SOFI TECHNOLOGIES go up and down completely randomly.
Pair Corralation between Telkom Indonesia and SOFI TECHNOLOGIES
Assuming the 90 days trading horizon Telkom Indonesia Tbk is expected to under-perform the SOFI TECHNOLOGIES. In addition to that, Telkom Indonesia is 1.44 times more volatile than SOFI TECHNOLOGIES. It trades about -0.05 of its total potential returns per unit of risk. SOFI TECHNOLOGIES is currently generating about -0.04 per unit of volatility. If you would invest 1,485 in SOFI TECHNOLOGIES on October 11, 2024 and sell it today you would lose (48.00) from holding SOFI TECHNOLOGIES or give up 3.23% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Telkom Indonesia Tbk vs. SOFI TECHNOLOGIES
Performance |
Timeline |
Telkom Indonesia Tbk |
SOFI TECHNOLOGIES |
Telkom Indonesia and SOFI TECHNOLOGIES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telkom Indonesia and SOFI TECHNOLOGIES
The main advantage of trading using opposite Telkom Indonesia and SOFI TECHNOLOGIES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telkom Indonesia position performs unexpectedly, SOFI TECHNOLOGIES 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 SOFI TECHNOLOGIES will offset losses from the drop in SOFI TECHNOLOGIES's long position.Telkom Indonesia vs. SOFI TECHNOLOGIES | Telkom Indonesia vs. Addtech AB | Telkom Indonesia vs. Iridium Communications | Telkom Indonesia vs. Highlight Communications AG |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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