Correlation Between Telkom Indonesia and Credit Agricole
Can any of the company-specific risk be diversified away by investing in both Telkom Indonesia and Credit Agricole 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 Credit Agricole 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 Credit Agricole SA, you can compare the effects of market volatilities on Telkom Indonesia and Credit Agricole 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 Credit Agricole. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telkom Indonesia and Credit Agricole.
Diversification Opportunities for Telkom Indonesia and Credit Agricole
-0.87 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Telkom and Credit is -0.87. Overlapping area represents the amount of risk that can be diversified away by holding Telkom Indonesia Tbk and Credit Agricole SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Credit Agricole SA 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 Credit Agricole. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Credit Agricole SA has no effect on the direction of Telkom Indonesia i.e., Telkom Indonesia and Credit Agricole go up and down completely randomly.
Pair Corralation between Telkom Indonesia and Credit Agricole
Considering the 90-day investment horizon Telkom Indonesia Tbk is expected to under-perform the Credit Agricole. In addition to that, Telkom Indonesia is 1.91 times more volatile than Credit Agricole SA. It trades about -0.26 of its total potential returns per unit of risk. Credit Agricole SA is currently generating about 0.44 per unit of volatility. If you would invest 673.00 in Credit Agricole SA on February 19, 2024 and sell it today you would earn a total of 188.00 from holding Credit Agricole SA or generate 27.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 98.46% |
Values | Daily Returns |
Telkom Indonesia Tbk vs. Credit Agricole SA
Performance |
Timeline |
Telkom Indonesia Tbk |
Credit Agricole SA |
Telkom Indonesia and Credit Agricole Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telkom Indonesia and Credit Agricole
The main advantage of trading using opposite Telkom Indonesia and Credit Agricole positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telkom Indonesia position performs unexpectedly, Credit Agricole 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 Credit Agricole will offset losses from the drop in Credit Agricole'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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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