Correlation Between Telecom Italia and Edita Food
Can any of the company-specific risk be diversified away by investing in both Telecom Italia and Edita Food 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 Edita Food 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 Edita Food Industries, you can compare the effects of market volatilities on Telecom Italia and Edita Food 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 Edita Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telecom Italia and Edita Food.
Diversification Opportunities for Telecom Italia and Edita Food
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Telecom and Edita is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Telecom Italia SpA and Edita Food Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Edita Food Industries 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 Edita Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Edita Food Industries has no effect on the direction of Telecom Italia i.e., Telecom Italia and Edita Food go up and down completely randomly.
Pair Corralation between Telecom Italia and Edita Food
Assuming the 90 days trading horizon Telecom Italia SpA is expected to generate 4.84 times more return on investment than Edita Food. However, Telecom Italia is 4.84 times more volatile than Edita Food Industries. It trades about 0.2 of its potential returns per unit of risk. Edita Food Industries is currently generating about 0.21 per unit of risk. If you would invest 26.00 in Telecom Italia SpA on September 13, 2024 and sell it today you would earn a total of 3.00 from holding Telecom Italia SpA or generate 11.54% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Telecom Italia SpA vs. Edita Food Industries
Performance |
| Timeline |
| Telecom Italia SpA |
| Edita Food Industries |
Telecom Italia and Edita Food Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Telecom Italia and Edita Food
The main advantage of trading using opposite Telecom Italia and Edita Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telecom Italia position performs unexpectedly, Edita Food 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 Edita Food will offset losses from the drop in Edita Food's long position.| Telecom Italia vs. Monster Beverage Corp | Telecom Italia vs. Addtech | Telecom Italia vs. Fevertree Drinks Plc | Telecom Italia vs. Impax Asset Management |
| Edita Food vs. Walmart | Edita Food vs. BYD Co | Edita Food vs. Volkswagen AG Non Vtg | Edita Food vs. Compass Group PLC |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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