Correlation Between Universal Insurance and Clean Energy
Can any of the company-specific risk be diversified away by investing in both Universal Insurance 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 Universal Insurance and Clean Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Universal Insurance Holdings and Clean Energy Fuels, you can compare the effects of market volatilities on Universal Insurance 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 Universal Insurance with a short position of Clean Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Universal Insurance and Clean Energy.
Diversification Opportunities for Universal Insurance and Clean Energy
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Universal and Clean is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding Universal Insurance Holdings 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 Universal Insurance 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 Universal Insurance Holdings 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 Universal Insurance i.e., Universal Insurance and Clean Energy go up and down completely randomly.
Pair Corralation between Universal Insurance and Clean Energy
Assuming the 90 days horizon Universal Insurance is expected to generate 2.56 times less return on investment than Clean Energy. But when comparing it to its historical volatility, Universal Insurance Holdings is 2.0 times less risky than Clean Energy. It trades about 0.04 of its potential returns per unit of risk. Clean Energy Fuels is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 253.00 in Clean Energy Fuels on October 24, 2024 and sell it today you would earn a total of 23.00 from holding Clean Energy Fuels or generate 9.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Universal Insurance Holdings vs. Clean Energy Fuels
Performance |
Timeline |
Universal Insurance |
Clean Energy Fuels |
Universal Insurance and Clean Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Universal Insurance and Clean Energy
The main advantage of trading using opposite Universal Insurance and Clean Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Universal Insurance 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.Universal Insurance vs. TYSON FOODS A | Universal Insurance vs. Sumitomo Rubber Industries | Universal Insurance vs. Nomad Foods | Universal Insurance vs. Clean Energy Fuels |
Clean Energy vs. Beazer Homes USA | Clean Energy vs. CITY OFFICE REIT | Clean Energy vs. PKSHA TECHNOLOGY INC | Clean Energy vs. VELA TECHNOLPLC LS 0001 |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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