Consolidated Edison Correlations

ED Stock  USD 98.23  0.06  0.06%   
The current 90-days correlation between Consolidated Edison and Duke Energy is 0.82 (i.e., Very poor diversification). The correlation of Consolidated Edison is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.

Consolidated Edison Correlation With Market

Good diversification

The correlation between Consolidated Edison and DJI is -0.2 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Consolidated Edison and DJI in the same portfolio, assuming nothing else is changed.
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Consolidated Edison. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in banks.
For information on how to trade Consolidated Stock refer to our How to Trade Consolidated Stock guide.

Moving together with Consolidated Stock

  0.68ES Eversource EnergyPairCorr
  0.62CMS CMS EnergyPairCorr
  0.65DTE DTE EnergyPairCorr

Moving against Consolidated Stock

  0.57ENIC Enel Chile SAPairCorr
  0.48PCG-PI Pacific GasPairCorr
  0.39MGEE MGE EnergyPairCorr
  0.32GNE Genie EnergyPairCorr

Related Correlations Analysis


Risk-Adjusted Indicators

There is a big difference between Consolidated Stock performing well and Consolidated Edison 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 Consolidated Edison'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.