Correlation Between Telkom Indonesia and Biglari Holdings
Can any of the company-specific risk be diversified away by investing in both Telkom Indonesia and Biglari Holdings 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 Biglari Holdings 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 Biglari Holdings, you can compare the effects of market volatilities on Telkom Indonesia and Biglari Holdings 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 Biglari Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telkom Indonesia and Biglari Holdings.
Diversification Opportunities for Telkom Indonesia and Biglari Holdings
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Telkom and Biglari is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Telkom Indonesia Tbk and Biglari Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Biglari Holdings 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 Biglari Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Biglari Holdings has no effect on the direction of Telkom Indonesia i.e., Telkom Indonesia and Biglari Holdings go up and down completely randomly.
Pair Corralation between Telkom Indonesia and Biglari Holdings
Considering the 90-day investment horizon Telkom Indonesia Tbk is expected to generate 0.92 times more return on investment than Biglari Holdings. However, Telkom Indonesia Tbk is 1.08 times less risky than Biglari Holdings. It trades about -0.06 of its potential returns per unit of risk. Biglari Holdings is currently generating about -0.12 per unit of risk. If you would invest 1,643 in Telkom Indonesia Tbk on December 28, 2024 and sell it today you would lose (152.00) from holding Telkom Indonesia Tbk or give up 9.25% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Telkom Indonesia Tbk vs. Biglari Holdings
Performance |
Timeline |
Telkom Indonesia Tbk |
Biglari Holdings |
Telkom Indonesia and Biglari Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telkom Indonesia and Biglari Holdings
The main advantage of trading using opposite Telkom Indonesia and Biglari Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telkom Indonesia position performs unexpectedly, Biglari Holdings 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 Biglari Holdings will offset losses from the drop in Biglari Holdings' long position.Telkom Indonesia vs. Liberty Broadband Srs | Telkom Indonesia vs. Cable One | Telkom Indonesia vs. Liberty Broadband Corp | Telkom Indonesia vs. Liberty Global 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 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.
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