Correlation Between PT Bank and Telkom Indonesia
Can any of the company-specific risk be diversified away by investing in both PT Bank and Telkom Indonesia 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 PT Bank and Telkom Indonesia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Bank Rakyat and Telkom Indonesia Tbk, you can compare the effects of market volatilities on PT Bank and Telkom Indonesia 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 PT Bank with a short position of Telkom Indonesia. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Bank and Telkom Indonesia.
Diversification Opportunities for PT Bank and Telkom Indonesia
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between BKRKF and Telkom is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding PT Bank Rakyat and Telkom Indonesia Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Telkom Indonesia Tbk and PT Bank 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 PT Bank Rakyat are associated (or correlated) with Telkom Indonesia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Telkom Indonesia Tbk has no effect on the direction of PT Bank i.e., PT Bank and Telkom Indonesia go up and down completely randomly.
Pair Corralation between PT Bank and Telkom Indonesia
Assuming the 90 days horizon PT Bank Rakyat is expected to generate 3.65 times more return on investment than Telkom Indonesia. However, PT Bank is 3.65 times more volatile than Telkom Indonesia Tbk. It trades about 0.0 of its potential returns per unit of risk. Telkom Indonesia Tbk is currently generating about -0.09 per unit of risk. If you would invest 34.00 in PT Bank Rakyat on September 1, 2024 and sell it today you would lose (9.00) from holding PT Bank Rakyat or give up 26.47% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 98.94% |
| Values | Daily Returns |
PT Bank Rakyat vs. Telkom Indonesia Tbk
Performance |
| Timeline |
| PT Bank Rakyat |
| Telkom Indonesia Tbk |
PT Bank and Telkom Indonesia Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with PT Bank and Telkom Indonesia
The main advantage of trading using opposite PT Bank and Telkom Indonesia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Bank position performs unexpectedly, Telkom Indonesia 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 Telkom Indonesia will offset losses from the drop in Telkom Indonesia's long position.| PT Bank vs. Piraeus Bank SA | PT Bank vs. Turkiye Garanti Bankasi | PT Bank vs. Delhi Bank Corp | PT Bank vs. Uwharrie Capital Corp |
| Telkom Indonesia vs. T Mobile | Telkom Indonesia vs. Comcast Corp | Telkom Indonesia vs. Lumen Technologies | Telkom Indonesia vs. Charter Communications |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Other Complementary Tools
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
| Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
| Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume |