Correlation Between Planet Fitness and Geely Automobile
Can any of the company-specific risk be diversified away by investing in both Planet Fitness 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 Planet Fitness and Geely Automobile into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Planet Fitness and Geely Automobile Holdings, you can compare the effects of market volatilities on Planet Fitness 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 Planet Fitness with a short position of Geely Automobile. Check out your portfolio center. Please also check ongoing floating volatility patterns of Planet Fitness and Geely Automobile.
Diversification Opportunities for Planet Fitness and Geely Automobile
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Planet and Geely is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Planet Fitness 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 Planet Fitness 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 Planet Fitness 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 Planet Fitness i.e., Planet Fitness and Geely Automobile go up and down completely randomly.
Pair Corralation between Planet Fitness and Geely Automobile
Assuming the 90 days horizon Planet Fitness is expected to generate 2.37 times less return on investment than Geely Automobile. But when comparing it to its historical volatility, Planet Fitness is 1.65 times less risky than Geely Automobile. It trades about 0.12 of its potential returns per unit of risk. Geely Automobile Holdings is currently generating about 0.17 of returns per unit of risk over similar time horizon. 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 | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Planet Fitness vs. Geely Automobile Holdings
Performance |
Timeline |
Planet Fitness |
Geely Automobile Holdings |
Planet Fitness and Geely Automobile Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Planet Fitness and Geely Automobile
The main advantage of trading using opposite Planet Fitness and Geely Automobile positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Planet Fitness 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.Planet Fitness vs. Quaker Chemical | Planet Fitness vs. ADDUS HOMECARE | Planet Fitness vs. Silicon Motion Technology | Planet Fitness vs. Pembina Pipeline Corp |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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