Correlation Between Pampa Energia and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Pampa Energia and Dow Jones 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 Energia and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pampa Energia SA and Dow Jones Industrial, you can compare the effects of market volatilities on Pampa Energia and Dow Jones 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 Energia with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pampa Energia and Dow Jones.
Diversification Opportunities for Pampa Energia and Dow Jones
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Pampa and Dow is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Pampa Energia SA and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Pampa Energia 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 Energia SA are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Pampa Energia i.e., Pampa Energia and Dow Jones go up and down completely randomly.
Pair Corralation between Pampa Energia and Dow Jones
Considering the 90-day investment horizon Pampa Energia SA is expected to generate 2.63 times more return on investment than Dow Jones. However, Pampa Energia is 2.63 times more volatile than Dow Jones Industrial. It trades about 0.32 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.08 per unit of risk. If you would invest 6,241 in Pampa Energia SA on September 19, 2024 and sell it today you would earn a total of 2,828 from holding Pampa Energia SA or generate 45.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Pampa Energia SA vs. Dow Jones Industrial
Performance |
Timeline |
Pampa Energia and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Pampa Energia SA
Pair trading matchups for Pampa Energia
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Pampa Energia and Dow Jones
The main advantage of trading using opposite Pampa Energia and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pampa Energia position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Pampa Energia vs. Grupo Financiero Galicia | Pampa Energia vs. Banco Macro SA | Pampa Energia vs. Empresa Distribuidora y | Pampa Energia vs. Transportadora de Gas |
Dow Jones vs. Mangazeya Mining | Dow Jones vs. Summit Materials | Dow Jones vs. Perseus Mining Limited | Dow Jones vs. AMCON Distributing |
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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
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