Pampa Energia Correlations

PAM Stock  USD 89.75  2.49  2.85%   
The current 90-days correlation between Pampa Energia SA and Grupo Financiero Galicia is 0.73 (i.e., Poor diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Pampa Energia moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Pampa Energia SA moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

Pampa Energia Correlation With Market

Good diversification

The correlation between Pampa Energia SA and DJI is -0.03 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Pampa Energia SA and DJI in the same portfolio, assuming nothing else is changed.
  
Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Pampa Energia SA. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.

Moving together with Pampa Stock

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Moving against Pampa Stock

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  0.73CMS-PC CMS EnergyPairCorr
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  0.66ELPC Companhia ParanaensePairCorr
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  0.47WTRG Essential UtilitiesPairCorr
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  0.81EBR Centrais ElectricasPairCorr
  0.79DTW DTE EnergyPairCorr
  0.71CWT California Water ServicePairCorr
  0.7ELP Companhia ParanaensePairCorr
  0.7NEE Nextera Energy Aggressive PushPairCorr
  0.68AWK American Water WorksPairCorr
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  0.64GNE Genie EnergyPairCorr
  0.63KEP Korea Electric PowerPairCorr

Related Correlations Analysis

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Risk-Adjusted Indicators

There is a big difference between Pampa Stock performing well and Pampa Energia Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Pampa Energia's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.