Correlation Between Geely Automobile and Computershare
Can any of the company-specific risk be diversified away by investing in both Geely Automobile and Computershare 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 Computershare 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 Computershare Limited, you can compare the effects of market volatilities on Geely Automobile and Computershare 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 Computershare. Check out your portfolio center. Please also check ongoing floating volatility patterns of Geely Automobile and Computershare.
Diversification Opportunities for Geely Automobile and Computershare
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Geely and Computershare is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Geely Automobile Holdings and Computershare Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Computershare Limited 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 Computershare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Computershare Limited has no effect on the direction of Geely Automobile i.e., Geely Automobile and Computershare go up and down completely randomly.
Pair Corralation between Geely Automobile and Computershare
Assuming the 90 days horizon Geely Automobile Holdings is expected to generate 1.96 times more return on investment than Computershare. However, Geely Automobile is 1.96 times more volatile than Computershare Limited. It trades about 0.17 of its potential returns per unit of risk. Computershare Limited is currently generating about 0.09 per unit of risk. If you would invest 152.00 in Geely Automobile Holdings on April 20, 2025 and sell it today you would earn a total of 54.00 from holding Geely Automobile Holdings or generate 35.53% 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. Computershare Limited
Performance |
Timeline |
Geely Automobile Holdings |
Computershare Limited |
Geely Automobile and Computershare Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Geely Automobile and Computershare
The main advantage of trading using opposite Geely Automobile and Computershare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Geely Automobile position performs unexpectedly, Computershare 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 Computershare will offset losses from the drop in Computershare's long position.Geely Automobile vs. Toyota Motor | Geely Automobile vs. BYD Company Limited | Geely Automobile vs. AUREA SA INH | Geely Automobile vs. SIVERS SEMICONDUCTORS AB |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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