Correlation Between Geely Automobile and SoftBank Group
Can any of the company-specific risk be diversified away by investing in both Geely Automobile and SoftBank Group 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 SoftBank Group 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 SoftBank Group Corp, you can compare the effects of market volatilities on Geely Automobile and SoftBank Group 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 SoftBank Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Geely Automobile and SoftBank Group.
Diversification Opportunities for Geely Automobile and SoftBank Group
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Geely and SoftBank is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Geely Automobile Holdings and SoftBank Group Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SoftBank Group Corp 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 SoftBank Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SoftBank Group Corp has no effect on the direction of Geely Automobile i.e., Geely Automobile and SoftBank Group go up and down completely randomly.
Pair Corralation between Geely Automobile and SoftBank Group
Assuming the 90 days horizon Geely Automobile Holdings is expected to generate 0.56 times more return on investment than SoftBank Group. However, Geely Automobile Holdings is 1.79 times less risky than SoftBank Group. It trades about 0.15 of its potential returns per unit of risk. SoftBank Group Corp is currently generating about 0.08 per unit of risk. If you would invest 106.00 in Geely Automobile Holdings on September 22, 2024 and sell it today you would earn a total of 83.00 from holding Geely Automobile Holdings or generate 78.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Geely Automobile Holdings vs. SoftBank Group Corp
Performance |
Timeline |
Geely Automobile Holdings |
SoftBank Group Corp |
Geely Automobile and SoftBank Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Geely Automobile and SoftBank Group
The main advantage of trading using opposite Geely Automobile and SoftBank Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Geely Automobile position performs unexpectedly, SoftBank Group 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 SoftBank Group will offset losses from the drop in SoftBank Group's long position.Geely Automobile vs. MeVis Medical Solutions | Geely Automobile vs. CVR Medical Corp | Geely Automobile vs. Norwegian Air Shuttle | Geely Automobile vs. DELTA AIR LINES |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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