Correlation Between Santander Bank and Molina Healthcare
Can any of the company-specific risk be diversified away by investing in both Santander Bank and Molina Healthcare 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 Santander Bank and Molina Healthcare into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Santander Bank Polska and Molina Healthcare, you can compare the effects of market volatilities on Santander Bank and Molina Healthcare 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 Santander Bank with a short position of Molina Healthcare. Check out your portfolio center. Please also check ongoing floating volatility patterns of Santander Bank and Molina Healthcare.
Diversification Opportunities for Santander Bank and Molina Healthcare
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Santander and Molina is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding Santander Bank Polska and Molina Healthcare in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Molina Healthcare and Santander Bank 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 Santander Bank Polska are associated (or correlated) with Molina Healthcare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Molina Healthcare has no effect on the direction of Santander Bank i.e., Santander Bank and Molina Healthcare go up and down completely randomly.
Pair Corralation between Santander Bank and Molina Healthcare
Assuming the 90 days horizon Santander Bank Polska is expected to generate 1.24 times more return on investment than Molina Healthcare. However, Santander Bank is 1.24 times more volatile than Molina Healthcare. It trades about 0.13 of its potential returns per unit of risk. Molina Healthcare is currently generating about -0.13 per unit of risk. If you would invest 10,755 in Santander Bank Polska on October 23, 2024 and sell it today you would earn a total of 425.00 from holding Santander Bank Polska or generate 3.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Santander Bank Polska vs. Molina Healthcare
Performance |
Timeline |
Santander Bank Polska |
Molina Healthcare |
Santander Bank and Molina Healthcare Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Santander Bank and Molina Healthcare
The main advantage of trading using opposite Santander Bank and Molina Healthcare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Santander Bank position performs unexpectedly, Molina Healthcare 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 Molina Healthcare will offset losses from the drop in Molina Healthcare's long position.Santander Bank vs. Madison Square Garden | Santander Bank vs. BII Railway Transportation | Santander Bank vs. High Liner Foods | Santander Bank vs. PARKEN Sport Entertainment |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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