Correlation Between Telkom Indonesia and PICKN PAY
Can any of the company-specific risk be diversified away by investing in both Telkom Indonesia and PICKN PAY 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 PICKN PAY 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 PICKN PAY STORES, you can compare the effects of market volatilities on Telkom Indonesia and PICKN PAY 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 PICKN PAY. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telkom Indonesia and PICKN PAY.
Diversification Opportunities for Telkom Indonesia and PICKN PAY
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Telkom and PICKN is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Telkom Indonesia Tbk and PICKN PAY STORES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PICKN PAY STORES 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 PICKN PAY. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PICKN PAY STORES has no effect on the direction of Telkom Indonesia i.e., Telkom Indonesia and PICKN PAY go up and down completely randomly.
Pair Corralation between Telkom Indonesia and PICKN PAY
Assuming the 90 days trading horizon Telkom Indonesia Tbk is expected to generate 5.6 times more return on investment than PICKN PAY. However, Telkom Indonesia is 5.6 times more volatile than PICKN PAY STORES. It trades about 0.03 of its potential returns per unit of risk. PICKN PAY STORES is currently generating about -0.01 per unit of risk. If you would invest 15.00 in Telkom Indonesia Tbk on December 2, 2024 and sell it today you would lose (1.00) from holding Telkom Indonesia Tbk or give up 6.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Telkom Indonesia Tbk vs. PICKN PAY STORES
Performance |
Timeline |
Telkom Indonesia Tbk |
PICKN PAY STORES |
Telkom Indonesia and PICKN PAY Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telkom Indonesia and PICKN PAY
The main advantage of trading using opposite Telkom Indonesia and PICKN PAY positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telkom Indonesia position performs unexpectedly, PICKN PAY 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 PICKN PAY will offset losses from the drop in PICKN PAY's long position.Telkom Indonesia vs. Ubisoft Entertainment SA | Telkom Indonesia vs. GRUPO CARSO A1 | Telkom Indonesia vs. Grupo Carso SAB | Telkom Indonesia vs. Cars Inc |
PICKN PAY vs. Calibre Mining Corp | PICKN PAY vs. ONWARD MEDICAL BV | PICKN PAY vs. IMAGIN MEDICAL INC | PICKN PAY vs. Genertec Universal Medical |
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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