Correlation Between Geely Automobile and REVO INSURANCE
Can any of the company-specific risk be diversified away by investing in both Geely Automobile and REVO INSURANCE 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 Geely Automobile and REVO INSURANCE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Geely Automobile Holdings and REVO INSURANCE SPA, you can compare the effects of market volatilities on Geely Automobile and REVO INSURANCE 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 Geely Automobile with a short position of REVO INSURANCE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Geely Automobile and REVO INSURANCE.
Diversification Opportunities for Geely Automobile and REVO INSURANCE
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Geely and REVO is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Geely Automobile Holdings and REVO INSURANCE SPA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on REVO INSURANCE SPA and Geely Automobile 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 Geely Automobile Holdings are associated (or correlated) with REVO INSURANCE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of REVO INSURANCE SPA has no effect on the direction of Geely Automobile i.e., Geely Automobile and REVO INSURANCE go up and down completely randomly.
Pair Corralation between Geely Automobile and REVO INSURANCE
Assuming the 90 days horizon Geely Automobile Holdings is expected to generate 0.93 times more return on investment than REVO INSURANCE. However, Geely Automobile Holdings is 1.08 times less risky than REVO INSURANCE. It trades about 0.09 of its potential returns per unit of risk. REVO INSURANCE SPA is currently generating about 0.04 per unit of risk. If you would invest 179.00 in Geely Automobile Holdings on December 28, 2024 and sell it today you would earn a total of 27.00 from holding Geely Automobile Holdings or generate 15.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Geely Automobile Holdings vs. REVO INSURANCE SPA
Performance |
Timeline |
Geely Automobile Holdings |
REVO INSURANCE SPA |
Geely Automobile and REVO INSURANCE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Geely Automobile and REVO INSURANCE
The main advantage of trading using opposite Geely Automobile and REVO INSURANCE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Geely Automobile position performs unexpectedly, REVO INSURANCE 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 REVO INSURANCE will offset losses from the drop in REVO INSURANCE's long position.Geely Automobile vs. PARKEN Sport Entertainment | Geely Automobile vs. MGIC INVESTMENT | Geely Automobile vs. tokentus investment AG | Geely Automobile vs. CapitaLand Investment Limited |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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