Correlation Between Telkom Indonesia and COVIVIO HOTELS
Can any of the company-specific risk be diversified away by investing in both Telkom Indonesia and COVIVIO HOTELS 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 COVIVIO HOTELS 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 COVIVIO HOTELS INH, you can compare the effects of market volatilities on Telkom Indonesia and COVIVIO HOTELS 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 COVIVIO HOTELS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telkom Indonesia and COVIVIO HOTELS.
Diversification Opportunities for Telkom Indonesia and COVIVIO HOTELS
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Telkom and COVIVIO is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Telkom Indonesia Tbk and COVIVIO HOTELS INH in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on COVIVIO HOTELS INH 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 COVIVIO HOTELS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of COVIVIO HOTELS INH has no effect on the direction of Telkom Indonesia i.e., Telkom Indonesia and COVIVIO HOTELS go up and down completely randomly.
Pair Corralation between Telkom Indonesia and COVIVIO HOTELS
Assuming the 90 days trading horizon Telkom Indonesia is expected to generate 17.06 times less return on investment than COVIVIO HOTELS. In addition to that, Telkom Indonesia is 4.91 times more volatile than COVIVIO HOTELS INH. It trades about 0.0 of its total potential returns per unit of risk. COVIVIO HOTELS INH is currently generating about 0.16 per unit of volatility. If you would invest 1,790 in COVIVIO HOTELS INH on January 29, 2025 and sell it today you would earn a total of 380.00 from holding COVIVIO HOTELS INH or generate 21.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Telkom Indonesia Tbk vs. COVIVIO HOTELS INH
Performance |
Timeline |
Telkom Indonesia Tbk |
COVIVIO HOTELS INH |
Telkom Indonesia and COVIVIO HOTELS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telkom Indonesia and COVIVIO HOTELS
The main advantage of trading using opposite Telkom Indonesia and COVIVIO HOTELS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telkom Indonesia position performs unexpectedly, COVIVIO HOTELS 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 COVIVIO HOTELS will offset losses from the drop in COVIVIO HOTELS's long position.Telkom Indonesia vs. ASM Pacific Technology | Telkom Indonesia vs. Alfa Financial Software | Telkom Indonesia vs. Computer And Technologies | Telkom Indonesia vs. CVR Medical Corp |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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