Correlation Between Forgame Holdings and Geely Automobile
Can any of the company-specific risk be diversified away by investing in both Forgame Holdings and Geely Automobile 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 Forgame Holdings and Geely Automobile into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Forgame Holdings and Geely Automobile Holdings, you can compare the effects of market volatilities on Forgame Holdings and Geely Automobile 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 Forgame Holdings with a short position of Geely Automobile. Check out your portfolio center. Please also check ongoing floating volatility patterns of Forgame Holdings and Geely Automobile.
Diversification Opportunities for Forgame Holdings and Geely Automobile
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Forgame and Geely is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Forgame Holdings and Geely Automobile Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Geely Automobile Holdings and Forgame Holdings 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 Forgame Holdings are associated (or correlated) with Geely Automobile. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Geely Automobile Holdings has no effect on the direction of Forgame Holdings i.e., Forgame Holdings and Geely Automobile go up and down completely randomly.
Pair Corralation between Forgame Holdings and Geely Automobile
Assuming the 90 days trading horizon Forgame Holdings is expected to under-perform the Geely Automobile. In addition to that, Forgame Holdings is 1.17 times more volatile than Geely Automobile Holdings. It trades about 0.0 of its total potential returns per unit of risk. Geely Automobile Holdings is currently generating about 0.05 per unit of volatility. If you would invest 151.00 in Geely Automobile Holdings on April 6, 2025 and sell it today you would earn a total of 25.00 from holding Geely Automobile Holdings or generate 16.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Forgame Holdings vs. Geely Automobile Holdings
Performance |
Timeline |
Forgame Holdings |
Geely Automobile Holdings |
Forgame Holdings and Geely Automobile Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Forgame Holdings and Geely Automobile
The main advantage of trading using opposite Forgame Holdings and Geely Automobile positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Forgame Holdings position performs unexpectedly, Geely Automobile 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 Geely Automobile will offset losses from the drop in Geely Automobile's long position.Forgame Holdings vs. Agilent Technologies | Forgame Holdings vs. ITALIAN WINE BRANDS | Forgame Holdings vs. BioNTech SE | Forgame Holdings vs. VIVA WINE GROUP |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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