Correlation Between Empresa Distribuidora and Pampa Energia
Can any of the company-specific risk be diversified away by investing in both Empresa Distribuidora and Pampa Energia 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 Empresa Distribuidora and Pampa Energia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Empresa Distribuidora y and Pampa Energia SA, you can compare the effects of market volatilities on Empresa Distribuidora and Pampa Energia 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 Empresa Distribuidora with a short position of Pampa Energia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Empresa Distribuidora and Pampa Energia.
Diversification Opportunities for Empresa Distribuidora and Pampa Energia
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Empresa and Pampa is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Empresa Distribuidora y and Pampa Energia SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pampa Energia SA and Empresa Distribuidora 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 Empresa Distribuidora y are associated (or correlated) with Pampa Energia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pampa Energia SA has no effect on the direction of Empresa Distribuidora i.e., Empresa Distribuidora and Pampa Energia go up and down completely randomly.
Pair Corralation between Empresa Distribuidora and Pampa Energia
Assuming the 90 days trading horizon Empresa Distribuidora y is expected to under-perform the Pampa Energia. In addition to that, Empresa Distribuidora is 1.45 times more volatile than Pampa Energia SA. It trades about -0.16 of its total potential returns per unit of risk. Pampa Energia SA is currently generating about -0.02 per unit of volatility. If you would invest 438,500 in Pampa Energia SA on November 2, 2024 and sell it today you would lose (10,500) from holding Pampa Energia SA or give up 2.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Empresa Distribuidora y vs. Pampa Energia SA
Performance |
Timeline |
Empresa Distribuidora |
Pampa Energia SA |
Empresa Distribuidora and Pampa Energia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Empresa Distribuidora and Pampa Energia
The main advantage of trading using opposite Empresa Distribuidora and Pampa Energia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Empresa Distribuidora position performs unexpectedly, Pampa Energia 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 Pampa Energia will offset losses from the drop in Pampa Energia's long position.Empresa Distribuidora vs. Enel Generacion Costanera | Empresa Distribuidora vs. Boldt SA | Empresa Distribuidora vs. Agrometal SAI | Empresa Distribuidora vs. United States Steel |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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