Correlation Between Ark Restaurants and One Group
Can any of the company-specific risk be diversified away by investing in both Ark Restaurants and One Group 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 Ark Restaurants and One Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ark Restaurants Corp and One Group Hospitality, you can compare the effects of market volatilities on Ark Restaurants and One Group 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 Ark Restaurants with a short position of One Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ark Restaurants and One Group.
Diversification Opportunities for Ark Restaurants and One Group
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Ark and One is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Ark Restaurants Corp and One Group Hospitality in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on One Group Hospitality and Ark Restaurants 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 Ark Restaurants Corp are associated (or correlated) with One Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of One Group Hospitality has no effect on the direction of Ark Restaurants i.e., Ark Restaurants and One Group go up and down completely randomly.
Pair Corralation between Ark Restaurants and One Group
Given the investment horizon of 90 days Ark Restaurants Corp is expected to generate 0.7 times more return on investment than One Group. However, Ark Restaurants Corp is 1.42 times less risky than One Group. It trades about 0.0 of its potential returns per unit of risk. One Group Hospitality is currently generating about -0.02 per unit of risk. If you would invest 1,588 in Ark Restaurants Corp on September 12, 2024 and sell it today you would lose (209.00) from holding Ark Restaurants Corp or give up 13.16% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.59% |
Values | Daily Returns |
Ark Restaurants Corp vs. One Group Hospitality
Performance |
Timeline |
Ark Restaurants Corp |
One Group Hospitality |
Ark Restaurants and One Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ark Restaurants and One Group
The main advantage of trading using opposite Ark Restaurants and One Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ark Restaurants position performs unexpectedly, One Group 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 One Group will offset losses from the drop in One Group's long position.Ark Restaurants vs. Noble Romans | Ark Restaurants vs. Good Times Restaurants | Ark Restaurants vs. Flanigans Enterprises | Ark Restaurants vs. FAT Brands |
One Group vs. Noble Romans | One Group vs. Good Times Restaurants | One Group vs. Flanigans Enterprises | One Group vs. FAT Brands |
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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