Correlation Between Telkom Indonesia and Starbucks
Can any of the company-specific risk be diversified away by investing in both Telkom Indonesia and Starbucks 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 Starbucks 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 Starbucks, you can compare the effects of market volatilities on Telkom Indonesia and Starbucks 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 Starbucks. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telkom Indonesia and Starbucks.
Diversification Opportunities for Telkom Indonesia and Starbucks
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Telkom and Starbucks is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Telkom Indonesia Tbk and Starbucks in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Starbucks 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 Starbucks. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Starbucks has no effect on the direction of Telkom Indonesia i.e., Telkom Indonesia and Starbucks go up and down completely randomly.
Pair Corralation between Telkom Indonesia and Starbucks
Assuming the 90 days trading horizon Telkom Indonesia Tbk is expected to generate 5.14 times more return on investment than Starbucks. However, Telkom Indonesia is 5.14 times more volatile than Starbucks. It trades about 0.01 of its potential returns per unit of risk. Starbucks is currently generating about 0.03 per unit of risk. If you would invest 17.00 in Telkom Indonesia Tbk on December 26, 2024 and sell it today you would lose (3.00) from holding Telkom Indonesia Tbk or give up 17.65% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
Telkom Indonesia Tbk vs. Starbucks
Performance |
Timeline |
Telkom Indonesia Tbk |
Starbucks |
Telkom Indonesia and Starbucks Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telkom Indonesia and Starbucks
The main advantage of trading using opposite Telkom Indonesia and Starbucks positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telkom Indonesia position performs unexpectedly, Starbucks 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 Starbucks will offset losses from the drop in Starbucks' long position.Telkom Indonesia vs. X FAB Silicon Foundries | Telkom Indonesia vs. CHEMICAL INDUSTRIES | Telkom Indonesia vs. Soken Chemical Engineering | Telkom Indonesia vs. THRACE PLASTICS |
Starbucks vs. Australian Agricultural | Starbucks vs. IRONVELD PLC LS | Starbucks vs. The Japan Steel | Starbucks vs. Daido Steel Co |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Other Complementary Tools
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Global Correlations Find global opportunities by holding instruments from different markets | |
Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation |