Correlation Between G III and Clean Energy
Can any of the company-specific risk be diversified away by investing in both G III and Clean Energy 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 G III and Clean Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between G III Apparel Group and Clean Energy Fuels, you can compare the effects of market volatilities on G III and Clean Energy 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 G III with a short position of Clean Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of G III and Clean Energy.
Diversification Opportunities for G III and Clean Energy
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between GI4 and Clean is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding G III Apparel Group and Clean Energy Fuels in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clean Energy Fuels and G III 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 G III Apparel Group are associated (or correlated) with Clean Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clean Energy Fuels has no effect on the direction of G III i.e., G III and Clean Energy go up and down completely randomly.
Pair Corralation between G III and Clean Energy
Assuming the 90 days trading horizon G III Apparel Group is expected to generate 0.58 times more return on investment than Clean Energy. However, G III Apparel Group is 1.72 times less risky than Clean Energy. It trades about 0.08 of its potential returns per unit of risk. Clean Energy Fuels is currently generating about 0.03 per unit of risk. If you would invest 2,720 in G III Apparel Group on September 12, 2024 and sell it today you would earn a total of 300.00 from holding G III Apparel Group or generate 11.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
G III Apparel Group vs. Clean Energy Fuels
Performance |
Timeline |
G III Apparel |
Clean Energy Fuels |
G III and Clean Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with G III and Clean Energy
The main advantage of trading using opposite G III and Clean Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if G III position performs unexpectedly, Clean Energy 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 Clean Energy will offset losses from the drop in Clean Energy's long position.The idea behind G III Apparel Group and Clean Energy Fuels 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.Clean Energy vs. NISSAN CHEMICAL IND | Clean Energy vs. PRECISION DRILLING P | Clean Energy vs. Consolidated Communications Holdings | Clean Energy vs. Nissan Chemical Corp |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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