Correlation Between Planet Fitness and LANDSEA HOMES
Can any of the company-specific risk be diversified away by investing in both Planet Fitness and LANDSEA HOMES 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 LANDSEA HOMES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Planet Fitness and LANDSEA HOMES P, you can compare the effects of market volatilities on Planet Fitness and LANDSEA HOMES 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 LANDSEA HOMES. Check out your portfolio center. Please also check ongoing floating volatility patterns of Planet Fitness and LANDSEA HOMES.
Diversification Opportunities for Planet Fitness and LANDSEA HOMES
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Planet and LANDSEA is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Planet Fitness and LANDSEA HOMES P in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LANDSEA HOMES P 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 LANDSEA HOMES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LANDSEA HOMES P has no effect on the direction of Planet Fitness i.e., Planet Fitness and LANDSEA HOMES go up and down completely randomly.
Pair Corralation between Planet Fitness and LANDSEA HOMES
Assuming the 90 days horizon Planet Fitness is expected to generate 6.4 times less return on investment than LANDSEA HOMES. But when comparing it to its historical volatility, Planet Fitness is 5.38 times less risky than LANDSEA HOMES. It trades about 0.13 of its potential returns per unit of risk. LANDSEA HOMES P is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 505.00 in LANDSEA HOMES P on April 21, 2025 and sell it today you would earn a total of 460.00 from holding LANDSEA HOMES P or generate 91.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 84.38% |
Values | Daily Returns |
Planet Fitness vs. LANDSEA HOMES P
Performance |
Timeline |
Planet Fitness |
LANDSEA HOMES P |
Risk-Adjusted Performance
Good
Weak | Strong |
Planet Fitness and LANDSEA HOMES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Planet Fitness and LANDSEA HOMES
The main advantage of trading using opposite Planet Fitness and LANDSEA HOMES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Planet Fitness position performs unexpectedly, LANDSEA HOMES 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 LANDSEA HOMES will offset losses from the drop in LANDSEA HOMES's long position.Planet Fitness vs. BOSTON BEER A | Planet Fitness vs. Rogers Communications | Planet Fitness vs. Gamma Communications plc | Planet Fitness vs. Cogent Communications Holdings |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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