Correlation Between Telkom Indonesia and AVIS BUDGET
Can any of the company-specific risk be diversified away by investing in both Telkom Indonesia and AVIS BUDGET 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 AVIS BUDGET 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 AVIS BUDGET GROUP, you can compare the effects of market volatilities on Telkom Indonesia and AVIS BUDGET 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 AVIS BUDGET. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telkom Indonesia and AVIS BUDGET.
Diversification Opportunities for Telkom Indonesia and AVIS BUDGET
-0.66 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Telkom and AVIS is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding Telkom Indonesia Tbk and AVIS BUDGET GROUP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AVIS BUDGET GROUP 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 AVIS BUDGET. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AVIS BUDGET GROUP has no effect on the direction of Telkom Indonesia i.e., Telkom Indonesia and AVIS BUDGET go up and down completely randomly.
Pair Corralation between Telkom Indonesia and AVIS BUDGET
Assuming the 90 days trading horizon Telkom Indonesia Tbk is expected to generate 1.65 times more return on investment than AVIS BUDGET. However, Telkom Indonesia is 1.65 times more volatile than AVIS BUDGET GROUP. It trades about 0.01 of its potential returns per unit of risk. AVIS BUDGET GROUP is currently generating about -0.01 per unit of risk. If you would invest 21.00 in Telkom Indonesia Tbk on September 12, 2024 and sell it today you would lose (6.00) from holding Telkom Indonesia Tbk or give up 28.57% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Telkom Indonesia Tbk vs. AVIS BUDGET GROUP
Performance |
Timeline |
Telkom Indonesia Tbk |
AVIS BUDGET GROUP |
Telkom Indonesia and AVIS BUDGET Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telkom Indonesia and AVIS BUDGET
The main advantage of trading using opposite Telkom Indonesia and AVIS BUDGET positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telkom Indonesia position performs unexpectedly, AVIS BUDGET 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 AVIS BUDGET will offset losses from the drop in AVIS BUDGET's long position.Telkom Indonesia vs. Singapore Telecommunications Limited | Telkom Indonesia vs. Ribbon Communications | Telkom Indonesia vs. Tower Semiconductor | Telkom Indonesia vs. Spirent Communications plc |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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