Correlation Between ELECTRONIC ARTS and AECOM TECHNOLOGY
Can any of the company-specific risk be diversified away by investing in both ELECTRONIC ARTS and AECOM TECHNOLOGY 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 ELECTRONIC ARTS and AECOM TECHNOLOGY into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ELECTRONIC ARTS and AECOM TECHNOLOGY, you can compare the effects of market volatilities on ELECTRONIC ARTS and AECOM TECHNOLOGY 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 ELECTRONIC ARTS with a short position of AECOM TECHNOLOGY. Check out your portfolio center. Please also check ongoing floating volatility patterns of ELECTRONIC ARTS and AECOM TECHNOLOGY.
Diversification Opportunities for ELECTRONIC ARTS and AECOM TECHNOLOGY
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between ELECTRONIC and AECOM is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding ELECTRONIC ARTS and AECOM TECHNOLOGY in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AECOM TECHNOLOGY and ELECTRONIC ARTS 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 ELECTRONIC ARTS are associated (or correlated) with AECOM TECHNOLOGY. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AECOM TECHNOLOGY has no effect on the direction of ELECTRONIC ARTS i.e., ELECTRONIC ARTS and AECOM TECHNOLOGY go up and down completely randomly.
Pair Corralation between ELECTRONIC ARTS and AECOM TECHNOLOGY
Assuming the 90 days trading horizon ELECTRONIC ARTS is expected to generate 1.62 times more return on investment than AECOM TECHNOLOGY. However, ELECTRONIC ARTS is 1.62 times more volatile than AECOM TECHNOLOGY. It trades about -0.04 of its potential returns per unit of risk. AECOM TECHNOLOGY is currently generating about -0.17 per unit of risk. If you would invest 14,178 in ELECTRONIC ARTS on December 22, 2024 and sell it today you would lose (1,026) from holding ELECTRONIC ARTS or give up 7.24% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ELECTRONIC ARTS vs. AECOM TECHNOLOGY
Performance |
Timeline |
ELECTRONIC ARTS |
AECOM TECHNOLOGY |
ELECTRONIC ARTS and AECOM TECHNOLOGY Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ELECTRONIC ARTS and AECOM TECHNOLOGY
The main advantage of trading using opposite ELECTRONIC ARTS and AECOM TECHNOLOGY positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ELECTRONIC ARTS position performs unexpectedly, AECOM TECHNOLOGY 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 AECOM TECHNOLOGY will offset losses from the drop in AECOM TECHNOLOGY's long position.ELECTRONIC ARTS vs. GREENX METALS LTD | ELECTRONIC ARTS vs. Perseus Mining Limited | ELECTRONIC ARTS vs. International Consolidated Airlines | ELECTRONIC ARTS vs. MAGNUM MINING EXP |
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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 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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