Correlation Between Universal Display and AP Moeller
Can any of the company-specific risk be diversified away by investing in both Universal Display and AP Moeller 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 Universal Display and AP Moeller into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Universal Display Corp and AP Moeller Maersk AS, you can compare the effects of market volatilities on Universal Display and AP Moeller 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 Universal Display with a short position of AP Moeller. Check out your portfolio center. Please also check ongoing floating volatility patterns of Universal Display and AP Moeller.
Diversification Opportunities for Universal Display and AP Moeller
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Universal and 0O76 is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Universal Display Corp and AP Moeller Maersk AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AP Moeller Maersk and Universal Display 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 Universal Display Corp are associated (or correlated) with AP Moeller. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AP Moeller Maersk has no effect on the direction of Universal Display i.e., Universal Display and AP Moeller go up and down completely randomly.
Pair Corralation between Universal Display and AP Moeller
Assuming the 90 days trading horizon Universal Display is expected to generate 2.74 times less return on investment than AP Moeller. But when comparing it to its historical volatility, Universal Display Corp is 1.02 times less risky than AP Moeller. It trades about 0.03 of its potential returns per unit of risk. AP Moeller Maersk AS is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 1,037,109 in AP Moeller Maersk AS on December 24, 2024 and sell it today you would earn a total of 122,891 from holding AP Moeller Maersk AS or generate 11.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 91.94% |
Values | Daily Returns |
Universal Display Corp vs. AP Moeller Maersk AS
Performance |
Timeline |
Universal Display Corp |
AP Moeller Maersk |
Universal Display and AP Moeller Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Universal Display and AP Moeller
The main advantage of trading using opposite Universal Display and AP Moeller positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Universal Display position performs unexpectedly, AP Moeller 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 AP Moeller will offset losses from the drop in AP Moeller's long position.Universal Display vs. Scottish American Investment | Universal Display vs. EJF Investments | Universal Display vs. Livermore Investments Group | Universal Display vs. Applied Materials |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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