Correlation Between GWILLI FOOD and American Eagle
Can any of the company-specific risk be diversified away by investing in both GWILLI FOOD and American Eagle 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 GWILLI FOOD and American Eagle into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GWILLI FOOD and American Eagle Outfitters, you can compare the effects of market volatilities on GWILLI FOOD and American Eagle 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 GWILLI FOOD with a short position of American Eagle. Check out your portfolio center. Please also check ongoing floating volatility patterns of GWILLI FOOD and American Eagle.
Diversification Opportunities for GWILLI FOOD and American Eagle
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between GWILLI and American is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding GWILLI FOOD and American Eagle Outfitters in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Eagle Outfitters and GWILLI FOOD 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 GWILLI FOOD are associated (or correlated) with American Eagle. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Eagle Outfitters has no effect on the direction of GWILLI FOOD i.e., GWILLI FOOD and American Eagle go up and down completely randomly.
Pair Corralation between GWILLI FOOD and American Eagle
Assuming the 90 days trading horizon GWILLI FOOD is expected to generate 0.69 times more return on investment than American Eagle. However, GWILLI FOOD is 1.46 times less risky than American Eagle. It trades about -0.04 of its potential returns per unit of risk. American Eagle Outfitters is currently generating about -0.23 per unit of risk. If you would invest 1,590 in GWILLI FOOD on December 23, 2024 and sell it today you would lose (90.00) from holding GWILLI FOOD or give up 5.66% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
GWILLI FOOD vs. American Eagle Outfitters
Performance |
Timeline |
GWILLI FOOD |
American Eagle Outfitters |
GWILLI FOOD and American Eagle Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GWILLI FOOD and American Eagle
The main advantage of trading using opposite GWILLI FOOD and American Eagle positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GWILLI FOOD position performs unexpectedly, American Eagle 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 American Eagle will offset losses from the drop in American Eagle's long position.GWILLI FOOD vs. SOFI TECHNOLOGIES | GWILLI FOOD vs. Treasury Wine Estates | GWILLI FOOD vs. Media and Games | GWILLI FOOD vs. Allegheny Technologies Incorporated |
American Eagle vs. COLUMBIA SPORTSWEAR | American Eagle vs. SOEDER SPORTFISKE AB | American Eagle vs. USWE SPORTS AB | American Eagle vs. tokentus investment AG |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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