Correlation Between Kinder Morgan and Copper

Can any of the company-specific risk be diversified away by investing in both Kinder Morgan and Copper 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 Kinder Morgan and Copper into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Kinder Morgan and Copper, you can compare the effects of market volatilities on Kinder Morgan and Copper 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 Kinder Morgan with a short position of Copper. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kinder Morgan and Copper.

Diversification Opportunities for Kinder Morgan and Copper

-0.1

Correlation Coefficient

Kinder Morgan  Copper

Good diversification

The 3 months correlation between Kinder and Copper is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding Kinder Morgan and Copper in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Copper and Kinder Morgan 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 Kinder Morgan are associated (or correlated) with Copper. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Copper has no effect on the direction of Kinder Morgan i.e., Kinder Morgan and Copper go up and down completely randomly.

Pair Corralation between Kinder Morgan and Copper

Considering the 90-day investment horizon Kinder Morgan is expected to generate 11.0 times less return on investment than Copper. In addition to that, Kinder Morgan is 1.54 times more volatile than Copper. It trades about 0.01 of its total potential returns per unit of risk. Copper is currently generating about 0.13 per unit of volatility. If you would invest  413.00  in Copper on December 2, 2024 and sell it today you would earn a total of  42.00  from holding Copper or generate 10.17% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	93.85%
Values	Daily Returns

Kinder Morgan  vs.  Copper

Kinder Morgan

Risk-Adjusted Performance

Very Weak

Over the last 90 days Kinder Morgan has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fairly strong primary indicators, Kinder Morgan is not utilizing all of its potentials. The latest stock price confusion, may contribute to short-horizon losses for the traders.

Copper

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Copper are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Copper may actually be approaching a critical reversion point that can send shares even higher in April 2025.

Pair Trading with Kinder Morgan and Copper

The main advantage of trading using opposite Kinder Morgan and Copper positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kinder Morgan position performs unexpectedly, Copper 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 Copper will offset losses from the drop in Copper's long position.

The idea behind Kinder Morgan and Copper pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.