Correlation Between Universal Music and Banco Santander
Can any of the company-specific risk be diversified away by investing in both Universal Music and Banco Santander 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 Music and Banco Santander into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Universal Music Group and Banco Santander SA, you can compare the effects of market volatilities on Universal Music and Banco Santander 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 Music with a short position of Banco Santander. Check out your portfolio center. Please also check ongoing floating volatility patterns of Universal Music and Banco Santander.
Diversification Opportunities for Universal Music and Banco Santander
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between Universal and Banco is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Universal Music Group and Banco Santander SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Banco Santander SA and Universal Music 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 Music Group are associated (or correlated) with Banco Santander. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Banco Santander SA has no effect on the direction of Universal Music i.e., Universal Music and Banco Santander go up and down completely randomly.
Pair Corralation between Universal Music and Banco Santander
Assuming the 90 days trading horizon Universal Music Group is expected to generate 0.85 times more return on investment than Banco Santander. However, Universal Music Group is 1.17 times less risky than Banco Santander. It trades about 0.04 of its potential returns per unit of risk. Banco Santander SA is currently generating about 0.03 per unit of risk. If you would invest 2,262 in Universal Music Group on September 5, 2024 and sell it today you would earn a total of 70.00 from holding Universal Music Group or generate 3.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Universal Music Group vs. Banco Santander SA
Performance |
Timeline |
Universal Music Group |
Banco Santander SA |
Universal Music and Banco Santander Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Universal Music and Banco Santander
The main advantage of trading using opposite Universal Music and Banco Santander positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Universal Music position performs unexpectedly, Banco Santander 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 Banco Santander will offset losses from the drop in Banco Santander's long position.Universal Music vs. Vienna Insurance Group | Universal Music vs. CNH Industrial NV | Universal Music vs. Raiffeisen Bank International | Universal Music vs. AMAG Austria Metall |
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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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