Correlation Between SOFI TECHNOLOGIES and Clean Energy
Can any of the company-specific risk be diversified away by investing in both SOFI TECHNOLOGIES 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 SOFI TECHNOLOGIES and Clean Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SOFI TECHNOLOGIES and Clean Energy Fuels, you can compare the effects of market volatilities on SOFI TECHNOLOGIES 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 SOFI TECHNOLOGIES with a short position of Clean Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of SOFI TECHNOLOGIES and Clean Energy.
Diversification Opportunities for SOFI TECHNOLOGIES and Clean Energy
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between SOFI and Clean is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding SOFI TECHNOLOGIES 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 SOFI TECHNOLOGIES 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 SOFI TECHNOLOGIES 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 SOFI TECHNOLOGIES i.e., SOFI TECHNOLOGIES and Clean Energy go up and down completely randomly.
Pair Corralation between SOFI TECHNOLOGIES and Clean Energy
Assuming the 90 days horizon SOFI TECHNOLOGIES is expected to generate 0.88 times more return on investment than Clean Energy. However, SOFI TECHNOLOGIES is 1.14 times less risky than Clean Energy. It trades about -0.06 of its potential returns per unit of risk. Clean Energy Fuels is currently generating about -0.13 per unit of risk. If you would invest 1,503 in SOFI TECHNOLOGIES on December 28, 2024 and sell it today you would lose (287.00) from holding SOFI TECHNOLOGIES or give up 19.1% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
SOFI TECHNOLOGIES vs. Clean Energy Fuels
Performance |
Timeline |
SOFI TECHNOLOGIES |
Clean Energy Fuels |
SOFI TECHNOLOGIES and Clean Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SOFI TECHNOLOGIES and Clean Energy
The main advantage of trading using opposite SOFI TECHNOLOGIES and Clean Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SOFI TECHNOLOGIES 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.SOFI TECHNOLOGIES vs. DICKS Sporting Goods | SOFI TECHNOLOGIES vs. American Eagle Outfitters | SOFI TECHNOLOGIES vs. EIDESVIK OFFSHORE NK | SOFI TECHNOLOGIES vs. SOLSTAD OFFSHORE NK |
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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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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