Correlation Between Transportadora and Metrogas
Can any of the company-specific risk be diversified away by investing in both Transportadora and Metrogas 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 Transportadora and Metrogas into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Transportadora de Gas and Metrogas SA, you can compare the effects of market volatilities on Transportadora and Metrogas 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 Transportadora with a short position of Metrogas. Check out your portfolio center. Please also check ongoing floating volatility patterns of Transportadora and Metrogas.
Diversification Opportunities for Transportadora and Metrogas
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Transportadora and Metrogas is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Transportadora de Gas and Metrogas SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Metrogas SA and Transportadora 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 Transportadora de Gas are associated (or correlated) with Metrogas. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Metrogas SA has no effect on the direction of Transportadora i.e., Transportadora and Metrogas go up and down completely randomly.
Pair Corralation between Transportadora and Metrogas
Assuming the 90 days trading horizon Transportadora is expected to generate 1.32 times less return on investment than Metrogas. But when comparing it to its historical volatility, Transportadora de Gas is 1.09 times less risky than Metrogas. It trades about 0.14 of its potential returns per unit of risk. Metrogas SA is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 9,200 in Metrogas SA on August 30, 2024 and sell it today you would earn a total of 210,800 from holding Metrogas SA or generate 2291.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Transportadora de Gas vs. Metrogas SA
Performance |
Timeline |
Transportadora de Gas |
Metrogas SA |
Transportadora and Metrogas Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Transportadora and Metrogas
The main advantage of trading using opposite Transportadora and Metrogas positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Transportadora position performs unexpectedly, Metrogas 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 Metrogas will offset losses from the drop in Metrogas' long position.Transportadora vs. Harmony Gold Mining | Transportadora vs. Agrometal SAI | Transportadora vs. Compania de Transporte | Transportadora vs. Telecom Argentina |
Metrogas vs. Agrometal SAI | Metrogas vs. Transportadora de Gas | Metrogas vs. Compania de Transporte | Metrogas vs. Harmony Gold Mining |
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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