Correlation Between Banco Hipotecario and Telecom Argentina
Can any of the company-specific risk be diversified away by investing in both Banco Hipotecario and Telecom Argentina 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 Banco Hipotecario and Telecom Argentina into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Banco Hipotecario SA and Telecom Argentina, you can compare the effects of market volatilities on Banco Hipotecario and Telecom Argentina 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 Banco Hipotecario with a short position of Telecom Argentina. Check out your portfolio center. Please also check ongoing floating volatility patterns of Banco Hipotecario and Telecom Argentina.
Diversification Opportunities for Banco Hipotecario and Telecom Argentina
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Banco and Telecom is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Banco Hipotecario SA and Telecom Argentina in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Telecom Argentina and Banco Hipotecario 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 Banco Hipotecario SA are associated (or correlated) with Telecom Argentina. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Telecom Argentina has no effect on the direction of Banco Hipotecario i.e., Banco Hipotecario and Telecom Argentina go up and down completely randomly.
Pair Corralation between Banco Hipotecario and Telecom Argentina
Assuming the 90 days trading horizon Banco Hipotecario SA is expected to generate 1.06 times more return on investment than Telecom Argentina. However, Banco Hipotecario is 1.06 times more volatile than Telecom Argentina. It trades about 0.19 of its potential returns per unit of risk. Telecom Argentina is currently generating about 0.13 per unit of risk. If you would invest 1,370 in Banco Hipotecario SA on August 29, 2024 and sell it today you would earn a total of 50,130 from holding Banco Hipotecario SA or generate 3659.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Banco Hipotecario SA vs. Telecom Argentina
Performance |
Timeline |
Banco Hipotecario |
Telecom Argentina |
Banco Hipotecario and Telecom Argentina Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Banco Hipotecario and Telecom Argentina
The main advantage of trading using opposite Banco Hipotecario and Telecom Argentina positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Banco Hipotecario position performs unexpectedly, Telecom Argentina 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 Telecom Argentina will offset losses from the drop in Telecom Argentina's long position.Banco Hipotecario vs. Telecom Argentina | Banco Hipotecario vs. Agrometal SAI | Banco Hipotecario vs. Harmony Gold Mining | Banco Hipotecario vs. Compania de Transporte |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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