Correlation Between Good Times and Xiabuxiabu Catering
Can any of the company-specific risk be diversified away by investing in both Good Times and Xiabuxiabu Catering 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 Good Times and Xiabuxiabu Catering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Good Times Restaurants and Xiabuxiabu Catering Management, you can compare the effects of market volatilities on Good Times and Xiabuxiabu Catering 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 Good Times with a short position of Xiabuxiabu Catering. Check out your portfolio center. Please also check ongoing floating volatility patterns of Good Times and Xiabuxiabu Catering.
Diversification Opportunities for Good Times and Xiabuxiabu Catering
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Good and Xiabuxiabu is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Good Times Restaurants and Xiabuxiabu Catering Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xiabuxiabu Catering and Good Times 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 Good Times Restaurants are associated (or correlated) with Xiabuxiabu Catering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xiabuxiabu Catering has no effect on the direction of Good Times i.e., Good Times and Xiabuxiabu Catering go up and down completely randomly.
Pair Corralation between Good Times and Xiabuxiabu Catering
Given the investment horizon of 90 days Good Times Restaurants is expected to generate 0.6 times more return on investment than Xiabuxiabu Catering. However, Good Times Restaurants is 1.66 times less risky than Xiabuxiabu Catering. It trades about 0.02 of its potential returns per unit of risk. Xiabuxiabu Catering Management is currently generating about -0.06 per unit of risk. If you would invest 240.00 in Good Times Restaurants on September 12, 2024 and sell it today you would earn a total of 31.00 from holding Good Times Restaurants or generate 12.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.6% |
Values | Daily Returns |
Good Times Restaurants vs. Xiabuxiabu Catering Management
Performance |
Timeline |
Good Times Restaurants |
Xiabuxiabu Catering |
Good Times and Xiabuxiabu Catering Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Good Times and Xiabuxiabu Catering
The main advantage of trading using opposite Good Times and Xiabuxiabu Catering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Good Times position performs unexpectedly, Xiabuxiabu Catering 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 Xiabuxiabu Catering will offset losses from the drop in Xiabuxiabu Catering's long position.Good Times vs. Noble Romans | Good Times vs. Flanigans Enterprises | Good Times vs. FAT Brands | Good Times vs. El Pollo Loco |
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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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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