Correlation Between Telecom Argentina and SBI Insurance
Can any of the company-specific risk be diversified away by investing in both Telecom Argentina and SBI Insurance 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 Telecom Argentina and SBI Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Telecom Argentina SA and SBI Insurance Group, you can compare the effects of market volatilities on Telecom Argentina and SBI Insurance 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 Telecom Argentina with a short position of SBI Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telecom Argentina and SBI Insurance.
Diversification Opportunities for Telecom Argentina and SBI Insurance
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Telecom and SBI is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding Telecom Argentina SA and SBI Insurance Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SBI Insurance Group and Telecom Argentina 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 Telecom Argentina SA are associated (or correlated) with SBI Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SBI Insurance Group has no effect on the direction of Telecom Argentina i.e., Telecom Argentina and SBI Insurance go up and down completely randomly.
Pair Corralation between Telecom Argentina and SBI Insurance
Assuming the 90 days horizon Telecom Argentina SA is expected to under-perform the SBI Insurance. In addition to that, Telecom Argentina is 2.3 times more volatile than SBI Insurance Group. It trades about -0.06 of its total potential returns per unit of risk. SBI Insurance Group is currently generating about 0.14 per unit of volatility. If you would invest 610.00 in SBI Insurance Group on December 20, 2024 and sell it today you would earn a total of 80.00 from holding SBI Insurance Group or generate 13.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Telecom Argentina SA vs. SBI Insurance Group
Performance |
Timeline |
Telecom Argentina |
SBI Insurance Group |
Telecom Argentina and SBI Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telecom Argentina and SBI Insurance
The main advantage of trading using opposite Telecom Argentina and SBI Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telecom Argentina position performs unexpectedly, SBI Insurance 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 SBI Insurance will offset losses from the drop in SBI Insurance's long position.Telecom Argentina vs. MOUNT GIBSON IRON | Telecom Argentina vs. United States Steel | Telecom Argentina vs. Veolia Environnement SA | Telecom Argentina vs. CompuGroup Medical SE |
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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 Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
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