Correlation Between AM EAGLE and Data#3

Can any of the company-specific risk be diversified away by investing in both AM EAGLE and Data#3 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 Data#3 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 Data3 Limited, you can compare the effects of market volatilities on AM EAGLE and Data#3 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 Data#3. Check out your portfolio center. Please also check ongoing floating volatility patterns of AM EAGLE and Data#3.

Diversification Opportunities for AM EAGLE and Data#3

0.36

Correlation Coefficient

AM EAGLE  Data#3

Weak diversification

The 3 months correlation between AFG and Data#3 is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding AM EAGLE OUTFITTERS and Data3 Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Data3 Limited 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 Data#3. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Data3 Limited has no effect on the direction of AM EAGLE i.e., AM EAGLE and Data#3 go up and down completely randomly.

Pair Corralation between AM EAGLE and Data#3

Assuming the 90 days trading horizon AM EAGLE OUTFITTERS is expected to generate 1.13 times more return on investment than Data#3. However, AM EAGLE is 1.13 times more volatile than Data3 Limited. It trades about -0.02 of its potential returns per unit of risk. Data3 Limited is currently generating about -0.07 per unit of risk. If you would invest  1,776  in AM EAGLE OUTFITTERS on September 30, 2024 and sell it today you would lose (186.00) from holding AM EAGLE OUTFITTERS or give up 10.47% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

AM EAGLE OUTFITTERS  vs.  Data3 Limited

AM EAGLE OUTFITTERS

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days AM EAGLE OUTFITTERS has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of uncertain performance in the last few months, the Stock's technical and fundamental indicators remain comparatively stable which may send shares a bit higher in January 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

Data3 Limited

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Data3 Limited has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fragile performance in the last few months, the Stock's basic indicators remain nearly stable which may send shares a bit higher in January 2025. The current disturbance may also be a sign of long-run up-swing for the company stockholders.

Pair Trading with AM EAGLE and Data#3

The main advantage of trading using opposite AM EAGLE and Data#3 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AM EAGLE position performs unexpectedly, Data#3 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 Data#3 will offset losses from the drop in Data#3's long position.

The idea behind AM EAGLE OUTFITTERS and Data3 Limited 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.

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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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.