Correlation Between Wendys and GoHealth
Can any of the company-specific risk be diversified away by investing in both Wendys and GoHealth 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 Wendys and GoHealth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Wendys Co and GoHealth, you can compare the effects of market volatilities on Wendys and GoHealth 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 Wendys with a short position of GoHealth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wendys and GoHealth.
Diversification Opportunities for Wendys and GoHealth
Poor diversification
The 3 months correlation between Wendys and GoHealth is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding The Wendys Co and GoHealth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GoHealth and Wendys 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 The Wendys Co are associated (or correlated) with GoHealth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GoHealth has no effect on the direction of Wendys i.e., Wendys and GoHealth go up and down completely randomly.
Pair Corralation between Wendys and GoHealth
Considering the 90-day investment horizon The Wendys Co is expected to under-perform the GoHealth. But the stock apears to be less risky and, when comparing its historical volatility, The Wendys Co is 3.59 times less risky than GoHealth. The stock trades about -0.01 of its potential returns per unit of risk. The GoHealth is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 1,406 in GoHealth on August 30, 2024 and sell it today you would lose (172.00) from holding GoHealth or give up 12.23% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
The Wendys Co vs. GoHealth
Performance |
| Timeline |
| The Wendys |
| GoHealth |
Wendys and GoHealth Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Wendys and GoHealth
The main advantage of trading using opposite Wendys and GoHealth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wendys position performs unexpectedly, GoHealth 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 GoHealth will offset losses from the drop in GoHealth's long position.The idea behind The Wendys Co and GoHealth pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| GoHealth vs. Arthur J Gallagher | GoHealth vs. Erie Indemnity | GoHealth vs. Marsh McLennan Companies | GoHealth vs. CorVel Corp |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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