Correlation Between Telkom Indonesia and Blue Line
Can any of the company-specific risk be diversified away by investing in both Telkom Indonesia and Blue Line 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 Blue Line 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 Blue Line Protection, you can compare the effects of market volatilities on Telkom Indonesia and Blue Line 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 Blue Line. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telkom Indonesia and Blue Line.
Diversification Opportunities for Telkom Indonesia and Blue Line
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Telkom and Blue is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Telkom Indonesia Tbk and Blue Line Protection in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Blue Line Protection 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 Blue Line. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Blue Line Protection has no effect on the direction of Telkom Indonesia i.e., Telkom Indonesia and Blue Line go up and down completely randomly.
Pair Corralation between Telkom Indonesia and Blue Line
Considering the 90-day investment horizon Telkom Indonesia Tbk is expected to generate 0.19 times more return on investment than Blue Line. However, Telkom Indonesia Tbk is 5.38 times less risky than Blue Line. It trades about -0.08 of its potential returns per unit of risk. Blue Line Protection is currently generating about -0.02 per unit of risk. If you would invest 1,853 in Telkom Indonesia Tbk on October 5, 2024 and sell it today you would lose (195.00) from holding Telkom Indonesia Tbk or give up 10.52% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Telkom Indonesia Tbk vs. Blue Line Protection
Performance |
Timeline |
Telkom Indonesia Tbk |
Blue Line Protection |
Telkom Indonesia and Blue Line Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telkom Indonesia and Blue Line
The main advantage of trading using opposite Telkom Indonesia and Blue Line positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telkom Indonesia position performs unexpectedly, Blue Line 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 Blue Line will offset losses from the drop in Blue Line's long position.Telkom Indonesia vs. Home Federal Bancorp | Telkom Indonesia vs. TRI Pointe Homes | Telkom Indonesia vs. HP Inc | Telkom Indonesia vs. Chevron Corp |
Blue Line vs. V2X Inc | Blue Line vs. National Presto Industries | Blue Line vs. Woodward | Blue Line vs. Hexcel |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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