Correlation Between Telkom Indonesia and Schibsted ASA
Can any of the company-specific risk be diversified away by investing in both Telkom Indonesia and Schibsted ASA 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 Schibsted ASA 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 Schibsted ASA ADR, you can compare the effects of market volatilities on Telkom Indonesia and Schibsted ASA 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 Schibsted ASA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telkom Indonesia and Schibsted ASA.
Diversification Opportunities for Telkom Indonesia and Schibsted ASA
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Telkom and Schibsted is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding Telkom Indonesia Tbk and Schibsted ASA ADR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Schibsted ASA ADR 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 Schibsted ASA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Schibsted ASA ADR has no effect on the direction of Telkom Indonesia i.e., Telkom Indonesia and Schibsted ASA go up and down completely randomly.
Pair Corralation between Telkom Indonesia and Schibsted ASA
Considering the 90-day investment horizon Telkom Indonesia Tbk is expected to under-perform the Schibsted ASA. But the stock apears to be less risky and, when comparing its historical volatility, Telkom Indonesia Tbk is 1.81 times less risky than Schibsted ASA. The stock trades about -0.1 of its potential returns per unit of risk. The Schibsted ASA ADR is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 3,020 in Schibsted ASA ADR on September 12, 2024 and sell it today you would earn a total of 480.00 from holding Schibsted ASA ADR or generate 15.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Telkom Indonesia Tbk vs. Schibsted ASA ADR
Performance |
Timeline |
Telkom Indonesia Tbk |
Schibsted ASA ADR |
Telkom Indonesia and Schibsted ASA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telkom Indonesia and Schibsted ASA
The main advantage of trading using opposite Telkom Indonesia and Schibsted ASA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telkom Indonesia position performs unexpectedly, Schibsted ASA 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 Schibsted ASA will offset losses from the drop in Schibsted ASA's 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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