Correlation Between ELECTRONIC ARTS and Santander Bank
Can any of the company-specific risk be diversified away by investing in both ELECTRONIC ARTS and Santander Bank 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 Santander Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ELECTRONIC ARTS and Santander Bank Polska, you can compare the effects of market volatilities on ELECTRONIC ARTS and Santander Bank 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 Santander Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of ELECTRONIC ARTS and Santander Bank.
Diversification Opportunities for ELECTRONIC ARTS and Santander Bank
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between ELECTRONIC and Santander is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding ELECTRONIC ARTS and Santander Bank Polska in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Santander Bank Polska 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 Santander Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Santander Bank Polska has no effect on the direction of ELECTRONIC ARTS i.e., ELECTRONIC ARTS and Santander Bank go up and down completely randomly.
Pair Corralation between ELECTRONIC ARTS and Santander Bank
Assuming the 90 days trading horizon ELECTRONIC ARTS is expected to generate 3.65 times less return on investment than Santander Bank. But when comparing it to its historical volatility, ELECTRONIC ARTS is 3.08 times less risky than Santander Bank. It trades about 0.05 of its potential returns per unit of risk. Santander Bank Polska is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 7,519 in Santander Bank Polska on October 2, 2024 and sell it today you would earn a total of 3,161 from holding Santander Bank Polska or generate 42.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ELECTRONIC ARTS vs. Santander Bank Polska
Performance |
Timeline |
ELECTRONIC ARTS |
Santander Bank Polska |
ELECTRONIC ARTS and Santander Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ELECTRONIC ARTS and Santander Bank
The main advantage of trading using opposite ELECTRONIC ARTS and Santander Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ELECTRONIC ARTS position performs unexpectedly, Santander Bank 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 Santander Bank will offset losses from the drop in Santander Bank's long position.ELECTRONIC ARTS vs. Apple Inc | ELECTRONIC ARTS vs. Apple Inc | ELECTRONIC ARTS vs. Apple Inc | ELECTRONIC ARTS vs. Apple Inc |
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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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