Correlation Between Wendys and RCI Hospitality
Can any of the company-specific risk be diversified away by investing in both Wendys and RCI Hospitality 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 RCI Hospitality 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 RCI Hospitality Holdings, you can compare the effects of market volatilities on Wendys and RCI Hospitality 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 RCI Hospitality. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wendys and RCI Hospitality.
Diversification Opportunities for Wendys and RCI Hospitality
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Wendys and RCI is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding The Wendys Co and RCI Hospitality Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RCI Hospitality Holdings 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 RCI Hospitality. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RCI Hospitality Holdings has no effect on the direction of Wendys i.e., Wendys and RCI Hospitality go up and down completely randomly.
Pair Corralation between Wendys and RCI Hospitality
Considering the 90-day investment horizon Wendys is expected to generate 1.2 times less return on investment than RCI Hospitality. But when comparing it to its historical volatility, The Wendys Co is 1.21 times less risky than RCI Hospitality. It trades about 0.1 of its potential returns per unit of risk. RCI Hospitality Holdings is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 4,607 in RCI Hospitality Holdings on August 29, 2024 and sell it today you would earn a total of 662.00 from holding RCI Hospitality Holdings or generate 14.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
The Wendys Co vs. RCI Hospitality Holdings
Performance |
Timeline |
The Wendys |
RCI Hospitality Holdings |
Wendys and RCI Hospitality Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wendys and RCI Hospitality
The main advantage of trading using opposite Wendys and RCI Hospitality positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wendys position performs unexpectedly, RCI Hospitality 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 RCI Hospitality will offset losses from the drop in RCI Hospitality's long position.Wendys vs. Jack In The | Wendys vs. Potbelly Co | Wendys vs. BJs Restaurants | Wendys vs. One Group Hospitality |
RCI Hospitality vs. Jack In The | RCI Hospitality vs. Potbelly Co | RCI Hospitality vs. BJs Restaurants | RCI Hospitality vs. One Group Hospitality |
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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