Correlation Between Pampa Energa and Contact Energy
Can any of the company-specific risk be diversified away by investing in both Pampa Energa and Contact Energy 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 Pampa Energa and Contact Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pampa Energa SA and Contact Energy Limited, you can compare the effects of market volatilities on Pampa Energa and Contact Energy 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 Pampa Energa with a short position of Contact Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pampa Energa and Contact Energy.
Diversification Opportunities for Pampa Energa and Contact Energy
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Pampa and Contact is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Pampa Energa SA and Contact Energy Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Contact Energy and Pampa Energa 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 Pampa Energa SA are associated (or correlated) with Contact Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Contact Energy has no effect on the direction of Pampa Energa i.e., Pampa Energa and Contact Energy go up and down completely randomly.
Pair Corralation between Pampa Energa and Contact Energy
Assuming the 90 days trading horizon Pampa Energa SA is expected to generate 1.36 times more return on investment than Contact Energy. However, Pampa Energa is 1.36 times more volatile than Contact Energy Limited. It trades about 0.33 of its potential returns per unit of risk. Contact Energy Limited is currently generating about 0.03 per unit of risk. If you would invest 5,350 in Pampa Energa SA on September 19, 2024 and sell it today you would earn a total of 3,450 from holding Pampa Energa SA or generate 64.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.46% |
Values | Daily Returns |
Pampa Energa SA vs. Contact Energy Limited
Performance |
Timeline |
Pampa Energa SA |
Contact Energy |
Pampa Energa and Contact Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pampa Energa and Contact Energy
The main advantage of trading using opposite Pampa Energa and Contact Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pampa Energa position performs unexpectedly, Contact Energy 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 Contact Energy will offset losses from the drop in Contact Energy's long position.Pampa Energa vs. CN YANGTPWR GDR | Pampa Energa vs. SIEMENS ENERGY AG | Pampa Energa vs. Siemens Energy AG | Pampa Energa vs. Vistra Corp |
Contact Energy vs. CN YANGTPWR GDR | Contact Energy vs. SIEMENS ENERGY AG | Contact Energy vs. Siemens Energy AG | Contact Energy vs. Vistra 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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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