Correlation Between Telkom Indonesia and SILVER BULLET
Can any of the company-specific risk be diversified away by investing in both Telkom Indonesia and SILVER BULLET 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 SILVER BULLET 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 SILVER BULLET DATA, you can compare the effects of market volatilities on Telkom Indonesia and SILVER BULLET 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 SILVER BULLET. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telkom Indonesia and SILVER BULLET.
Diversification Opportunities for Telkom Indonesia and SILVER BULLET
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Telkom and SILVER is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Telkom Indonesia Tbk and SILVER BULLET DATA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SILVER BULLET DATA 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 SILVER BULLET. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SILVER BULLET DATA has no effect on the direction of Telkom Indonesia i.e., Telkom Indonesia and SILVER BULLET go up and down completely randomly.
Pair Corralation between Telkom Indonesia and SILVER BULLET
Assuming the 90 days trading horizon Telkom Indonesia Tbk is expected to generate 3.5 times more return on investment than SILVER BULLET. However, Telkom Indonesia is 3.5 times more volatile than SILVER BULLET DATA. It trades about 0.02 of its potential returns per unit of risk. SILVER BULLET DATA is currently generating about -0.28 per unit of risk. If you would invest 16.00 in Telkom Indonesia Tbk on December 20, 2024 and sell it today you would lose (2.00) from holding Telkom Indonesia Tbk or give up 12.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Telkom Indonesia Tbk vs. SILVER BULLET DATA
Performance |
Timeline |
Telkom Indonesia Tbk |
SILVER BULLET DATA |
Telkom Indonesia and SILVER BULLET Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telkom Indonesia and SILVER BULLET
The main advantage of trading using opposite Telkom Indonesia and SILVER BULLET positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telkom Indonesia position performs unexpectedly, SILVER BULLET 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 SILVER BULLET will offset losses from the drop in SILVER BULLET's long position.Telkom Indonesia vs. Yuexiu Transport Infrastructure | Telkom Indonesia vs. Liberty Broadband | Telkom Indonesia vs. ITALIAN WINE BRANDS | Telkom Indonesia vs. Fukuyama Transporting Co |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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