Correlation Between INSURANCE AUST and Clean Energy
Can any of the company-specific risk be diversified away by investing in both INSURANCE AUST 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 INSURANCE AUST and Clean Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between INSURANCE AUST GRP and Clean Energy Fuels, you can compare the effects of market volatilities on INSURANCE AUST 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 INSURANCE AUST with a short position of Clean Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of INSURANCE AUST and Clean Energy.
Diversification Opportunities for INSURANCE AUST and Clean Energy
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between INSURANCE and Clean is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding INSURANCE AUST GRP 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 INSURANCE AUST 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 INSURANCE AUST GRP 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 INSURANCE AUST i.e., INSURANCE AUST and Clean Energy go up and down completely randomly.
Pair Corralation between INSURANCE AUST and Clean Energy
Assuming the 90 days trading horizon INSURANCE AUST GRP is expected to generate 0.39 times more return on investment than Clean Energy. However, INSURANCE AUST GRP is 2.56 times less risky than Clean Energy. It trades about 0.17 of its potential returns per unit of risk. Clean Energy Fuels is currently generating about 0.05 per unit of risk. If you would invest 450.00 in INSURANCE AUST GRP on October 26, 2024 and sell it today you would earn a total of 75.00 from holding INSURANCE AUST GRP or generate 16.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
INSURANCE AUST GRP vs. Clean Energy Fuels
Performance |
Timeline |
INSURANCE AUST GRP |
Clean Energy Fuels |
INSURANCE AUST and Clean Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with INSURANCE AUST and Clean Energy
The main advantage of trading using opposite INSURANCE AUST and Clean Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if INSURANCE AUST 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.INSURANCE AUST vs. CHAMPION IRON | INSURANCE AUST vs. Corporate Office Properties | INSURANCE AUST vs. Clean Energy Fuels | INSURANCE AUST vs. Khiron Life Sciences |
Clean Energy vs. Xiwang Special Steel | Clean Energy vs. UNIVERSAL MUSIC GROUP | Clean Energy vs. MOVIE GAMES SA | Clean Energy vs. Warner Music Group |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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