Correlation Between Telecom Italia and Bank Mandiri
Can any of the company-specific risk be diversified away by investing in both Telecom Italia and Bank Mandiri 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 Bank Mandiri 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 Bank Mandiri Persero, you can compare the effects of market volatilities on Telecom Italia and Bank Mandiri 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 Bank Mandiri. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telecom Italia and Bank Mandiri.
Diversification Opportunities for Telecom Italia and Bank Mandiri
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Telecom and Bank is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding Telecom Italia SpA and Bank Mandiri Persero in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Mandiri Persero 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 Bank Mandiri. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Mandiri Persero has no effect on the direction of Telecom Italia i.e., Telecom Italia and Bank Mandiri go up and down completely randomly.
Pair Corralation between Telecom Italia and Bank Mandiri
Assuming the 90 days horizon Telecom Italia SpA is expected to generate 0.68 times more return on investment than Bank Mandiri. However, Telecom Italia SpA is 1.47 times less risky than Bank Mandiri. It trades about 0.14 of its potential returns per unit of risk. Bank Mandiri Persero is currently generating about -0.07 per unit of risk. If you would invest 42.00 in Telecom Italia SpA on May 13, 2025 and sell it today you would earn a total of 7.00 from holding Telecom Italia SpA or generate 16.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Telecom Italia SpA vs. Bank Mandiri Persero
Performance |
Timeline |
Telecom Italia SpA |
Bank Mandiri Persero |
Telecom Italia and Bank Mandiri Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telecom Italia and Bank Mandiri
The main advantage of trading using opposite Telecom Italia and Bank Mandiri positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telecom Italia position performs unexpectedly, Bank Mandiri 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 Bank Mandiri will offset losses from the drop in Bank Mandiri's long position.Telecom Italia vs. ATT Inc | Telecom Italia vs. Kingfisher plc | Telecom Italia vs. PT Hanjaya Mandala | Telecom Italia vs. CEMEX SAB de |
Bank Mandiri vs. Harbor Bankshares | Bank Mandiri vs. Isabella Bank | Bank Mandiri vs. Katahdin Bankshares Corp | Bank Mandiri vs. MNB Holdings Corp |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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