Correlation Between Clean Energy and Klpierre

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

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

Diversification Opportunities for Clean Energy and Klpierre

0.7

Correlation Coefficient

Clean Energy  Klpierre

Poor diversification

The 3 months correlation between Clean and Klpierre is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Clean Energy Fuels and Klpierre SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Klpierre SA and Clean Energy 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 Clean Energy Fuels are associated (or correlated) with Klpierre. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Klpierre SA has no effect on the direction of Clean Energy i.e., Clean Energy and Klpierre go up and down completely randomly.

Pair Corralation between Clean Energy and Klpierre

Assuming the 90 days horizon Clean Energy Fuels is expected to generate 5.37 times more return on investment than Klpierre. However, Clean Energy is 5.37 times more volatile than Klpierre SA. It trades about 0.15 of its potential returns per unit of risk. Klpierre SA is currently generating about 0.14 per unit of risk. If you would invest  123.00  in Clean Energy Fuels on April 21, 2025 and sell it today you would earn a total of  53.00  from holding Clean Energy Fuels or generate 43.09% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

Clean Energy Fuels  vs.  Klpierre SA

Clean Energy Fuels

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Clean Energy Fuels are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Clean Energy reported solid returns over the last few months and may actually be approaching a breakup point.

Klpierre SA

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Klpierre SA are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Klpierre may actually be approaching a critical reversion point that can send shares even higher in August 2025.

Pair Trading with Clean Energy and Klpierre

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

The idea behind Clean Energy Fuels and Klpierre SA 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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.