Correlation Between TELECOM ITALIA and China Communications
Can any of the company-specific risk be diversified away by investing in both TELECOM ITALIA and China Communications 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 China Communications into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TELECOM ITALIA and China Communications Services, you can compare the effects of market volatilities on TELECOM ITALIA and China Communications 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 China Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of TELECOM ITALIA and China Communications.
Diversification Opportunities for TELECOM ITALIA and China Communications
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between TELECOM and China is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding TELECOM ITALIA and China Communications Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Communications 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 are associated (or correlated) with China Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Communications has no effect on the direction of TELECOM ITALIA i.e., TELECOM ITALIA and China Communications go up and down completely randomly.
Pair Corralation between TELECOM ITALIA and China Communications
Assuming the 90 days trading horizon TELECOM ITALIA is expected to generate 2.09 times more return on investment than China Communications. However, TELECOM ITALIA is 2.09 times more volatile than China Communications Services. It trades about 0.15 of its potential returns per unit of risk. China Communications Services is currently generating about -0.06 per unit of risk. If you would invest 24.00 in TELECOM ITALIA on November 3, 2024 and sell it today you would earn a total of 2.00 from holding TELECOM ITALIA or generate 8.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.65% |
Values | Daily Returns |
TELECOM ITALIA vs. China Communications Services
Performance |
Timeline |
TELECOM ITALIA |
China Communications |
TELECOM ITALIA and China Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TELECOM ITALIA and China Communications
The main advantage of trading using opposite TELECOM ITALIA and China Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TELECOM ITALIA position performs unexpectedly, China Communications 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 China Communications will offset losses from the drop in China Communications' long position.TELECOM ITALIA vs. Apple Inc | TELECOM ITALIA vs. Apple Inc | TELECOM ITALIA vs. Apple Inc | TELECOM ITALIA vs. Apple Inc |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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