Correlation Between QBE Insurance and Clean Energy
Can any of the company-specific risk be diversified away by investing in both QBE 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 QBE 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 QBE Insurance Group and Clean Energy Fuels, you can compare the effects of market volatilities on QBE 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 QBE Insurance with a short position of Clean Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of QBE Insurance and Clean Energy.
Diversification Opportunities for QBE Insurance and Clean Energy
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between QBE and Clean is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding QBE Insurance 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 QBE 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 QBE Insurance 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 QBE Insurance i.e., QBE Insurance and Clean Energy go up and down completely randomly.
Pair Corralation between QBE Insurance and Clean Energy
Assuming the 90 days horizon QBE Insurance Group is expected to generate 0.33 times more return on investment than Clean Energy. However, QBE Insurance Group is 3.02 times less risky than Clean Energy. It trades about 0.09 of its potential returns per unit of risk. Clean Energy Fuels is currently generating about -0.12 per unit of risk. If you would invest 1,107 in QBE Insurance Group on December 20, 2024 and sell it today you would earn a total of 93.00 from holding QBE Insurance Group or generate 8.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
QBE Insurance Group vs. Clean Energy Fuels
Performance |
Timeline |
QBE Insurance Group |
Clean Energy Fuels |
QBE Insurance and Clean Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with QBE Insurance and Clean Energy
The main advantage of trading using opposite QBE Insurance and Clean Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if QBE 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.QBE Insurance vs. Kingdee International Software | QBE Insurance vs. Universal Insurance Holdings | QBE Insurance vs. Computershare Limited | QBE Insurance vs. LG Display Co |
Clean Energy vs. Aya Gold Silver | Clean Energy vs. UET United Electronic | Clean Energy vs. KCE Electronics Public | Clean Energy vs. LPKF Laser Electronics |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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