Correlation Between Santander Bank and SOFTWARE MANSION
Can any of the company-specific risk be diversified away by investing in both Santander Bank and SOFTWARE MANSION 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 SOFTWARE MANSION 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 SOFTWARE MANSION SPOLKA, you can compare the effects of market volatilities on Santander Bank and SOFTWARE MANSION 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 SOFTWARE MANSION. Check out your portfolio center. Please also check ongoing floating volatility patterns of Santander Bank and SOFTWARE MANSION.
Diversification Opportunities for Santander Bank and SOFTWARE MANSION
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Santander and SOFTWARE is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Santander Bank Polska and SOFTWARE MANSION SPOLKA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SOFTWARE MANSION SPOLKA 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 SOFTWARE MANSION. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SOFTWARE MANSION SPOLKA has no effect on the direction of Santander Bank i.e., Santander Bank and SOFTWARE MANSION go up and down completely randomly.
Pair Corralation between Santander Bank and SOFTWARE MANSION
Assuming the 90 days trading horizon Santander Bank is expected to generate 1.33 times less return on investment than SOFTWARE MANSION. But when comparing it to its historical volatility, Santander Bank Polska is 1.4 times less risky than SOFTWARE MANSION. It trades about 0.03 of its potential returns per unit of risk. SOFTWARE MANSION SPOLKA is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 2,780 in SOFTWARE MANSION SPOLKA on November 3, 2024 and sell it today you would earn a total of 120.00 from holding SOFTWARE MANSION SPOLKA or generate 4.32% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 96.69% |
| Values | Daily Returns |
Santander Bank Polska vs. SOFTWARE MANSION SPOLKA
Performance |
| Timeline |
| Santander Bank Polska |
| SOFTWARE MANSION SPOLKA |
Santander Bank and SOFTWARE MANSION Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Santander Bank and SOFTWARE MANSION
The main advantage of trading using opposite Santander Bank and SOFTWARE MANSION positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Santander Bank position performs unexpectedly, SOFTWARE MANSION 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 SOFTWARE MANSION will offset losses from the drop in SOFTWARE MANSION's long position.| Santander Bank vs. UniCredit SpA | Santander Bank vs. Bank Polska Kasa | Santander Bank vs. ING Bank lski | Santander Bank vs. mBank SA |
| SOFTWARE MANSION vs. Banco Santander SA | SOFTWARE MANSION vs. UniCredit SpA | SOFTWARE MANSION vs. CEZ as | SOFTWARE MANSION vs. Polski Koncern Naftowy |
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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
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