Correlation Between AM EAGLE and DOCDATA
Can any of the company-specific risk be diversified away by investing in both AM EAGLE and DOCDATA 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 AM EAGLE and DOCDATA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AM EAGLE OUTFITTERS and DOCDATA, you can compare the effects of market volatilities on AM EAGLE and DOCDATA 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 AM EAGLE with a short position of DOCDATA. Check out your portfolio center. Please also check ongoing floating volatility patterns of AM EAGLE and DOCDATA.
Diversification Opportunities for AM EAGLE and DOCDATA
Very weak diversification
The 3 months correlation between AFG and DOCDATA is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding AM EAGLE OUTFITTERS and DOCDATA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DOCDATA and AM EAGLE 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 AM EAGLE OUTFITTERS are associated (or correlated) with DOCDATA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DOCDATA has no effect on the direction of AM EAGLE i.e., AM EAGLE and DOCDATA go up and down completely randomly.
Pair Corralation between AM EAGLE and DOCDATA
Assuming the 90 days trading horizon AM EAGLE OUTFITTERS is expected to generate 0.76 times more return on investment than DOCDATA. However, AM EAGLE OUTFITTERS is 1.32 times less risky than DOCDATA. It trades about 0.02 of its potential returns per unit of risk. DOCDATA is currently generating about -0.05 per unit of risk. If you would invest 1,778 in AM EAGLE OUTFITTERS on September 3, 2024 and sell it today you would earn a total of 32.00 from holding AM EAGLE OUTFITTERS or generate 1.8% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
AM EAGLE OUTFITTERS vs. DOCDATA
Performance |
| Timeline |
| AM EAGLE OUTFITTERS |
| DOCDATA |
AM EAGLE and DOCDATA Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with AM EAGLE and DOCDATA
The main advantage of trading using opposite AM EAGLE and DOCDATA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AM EAGLE position performs unexpectedly, DOCDATA 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 DOCDATA will offset losses from the drop in DOCDATA's long position.The idea behind AM EAGLE OUTFITTERS and DOCDATA 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.| DOCDATA vs. Gaztransport Technigaz SA | DOCDATA vs. COLUMBIA SPORTSWEAR | DOCDATA vs. DICKS Sporting Goods | DOCDATA vs. SPORTING |
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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
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