Correlation Between Clean Energy and Hitachi Construction
Can any of the company-specific risk be diversified away by investing in both Clean Energy and Hitachi Construction 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 Hitachi Construction 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 Hitachi Construction Machinery, you can compare the effects of market volatilities on Clean Energy and Hitachi Construction 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 Hitachi Construction. Check out your portfolio center. Please also check ongoing floating volatility patterns of Clean Energy and Hitachi Construction.
Diversification Opportunities for Clean Energy and Hitachi Construction
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Clean and Hitachi is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding Clean Energy Fuels and Hitachi Construction Machinery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hitachi Construction 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 Hitachi Construction. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hitachi Construction has no effect on the direction of Clean Energy i.e., Clean Energy and Hitachi Construction go up and down completely randomly.
Pair Corralation between Clean Energy and Hitachi Construction
Assuming the 90 days horizon Clean Energy Fuels is expected to generate 2.79 times more return on investment than Hitachi Construction. However, Clean Energy is 2.79 times more volatile than Hitachi Construction Machinery. It trades about 0.15 of its potential returns per unit of risk. Hitachi Construction Machinery is currently generating about 0.02 per unit of risk. If you would invest 123.00 in Clean Energy Fuels on April 22, 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 | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Clean Energy Fuels vs. Hitachi Construction Machinery
Performance |
Timeline |
Clean Energy Fuels |
Hitachi Construction |
Clean Energy and Hitachi Construction Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Clean Energy and Hitachi Construction
The main advantage of trading using opposite Clean Energy and Hitachi Construction positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Clean Energy position performs unexpectedly, Hitachi Construction 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 Hitachi Construction will offset losses from the drop in Hitachi Construction's long position.Clean Energy vs. Eagle Materials | Clean Energy vs. Mitsui Chemicals | Clean Energy vs. SANOK RUBBER ZY | Clean Energy vs. EAGLE MATERIALS |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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