Correlation Between Telecom Italia and GSTechnologies
Can any of the company-specific risk be diversified away by investing in both Telecom Italia and GSTechnologies 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 Italia and GSTechnologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Telecom Italia SpA and GSTechnologies, you can compare the effects of market volatilities on Telecom Italia and GSTechnologies 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 Italia with a short position of GSTechnologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telecom Italia and GSTechnologies.
Diversification Opportunities for Telecom Italia and GSTechnologies
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between Telecom and GSTechnologies is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Telecom Italia SpA and GSTechnologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GSTechnologies and Telecom Italia 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 Italia SpA are associated (or correlated) with GSTechnologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GSTechnologies has no effect on the direction of Telecom Italia i.e., Telecom Italia and GSTechnologies go up and down completely randomly.
Pair Corralation between Telecom Italia and GSTechnologies
Assuming the 90 days trading horizon Telecom Italia is expected to generate 7.83 times less return on investment than GSTechnologies. But when comparing it to its historical volatility, Telecom Italia SpA is 2.75 times less risky than GSTechnologies. It trades about 0.23 of its potential returns per unit of risk. GSTechnologies is currently generating about 0.65 of returns per unit of risk over similar time horizon. If you would invest 125.00 in GSTechnologies on October 4, 2024 and sell it today you would earn a total of 165.00 from holding GSTechnologies or generate 132.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Telecom Italia SpA vs. GSTechnologies
Performance |
Timeline |
Telecom Italia SpA |
GSTechnologies |
Telecom Italia and GSTechnologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telecom Italia and GSTechnologies
The main advantage of trading using opposite Telecom Italia and GSTechnologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telecom Italia position performs unexpectedly, GSTechnologies 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 GSTechnologies will offset losses from the drop in GSTechnologies' long position.Telecom Italia vs. Concurrent Technologies Plc | Telecom Italia vs. GoldMining | Telecom Italia vs. Pressure Technologies Plc | Telecom Italia vs. Molson Coors Beverage |
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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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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