Correlation Between Banco Santander and STORE ELECTRONIC
Can any of the company-specific risk be diversified away by investing in both Banco Santander and STORE ELECTRONIC 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 Banco Santander and STORE ELECTRONIC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Banco Santander SA and STORE ELECTRONIC, you can compare the effects of market volatilities on Banco Santander and STORE ELECTRONIC 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 Banco Santander with a short position of STORE ELECTRONIC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Banco Santander and STORE ELECTRONIC.
Diversification Opportunities for Banco Santander and STORE ELECTRONIC
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Banco and STORE is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Banco Santander SA and STORE ELECTRONIC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on STORE ELECTRONIC and Banco Santander 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 Banco Santander SA are associated (or correlated) with STORE ELECTRONIC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of STORE ELECTRONIC has no effect on the direction of Banco Santander i.e., Banco Santander and STORE ELECTRONIC go up and down completely randomly.
Pair Corralation between Banco Santander and STORE ELECTRONIC
Assuming the 90 days trading horizon Banco Santander is expected to generate 1.14 times less return on investment than STORE ELECTRONIC. But when comparing it to its historical volatility, Banco Santander SA is 2.58 times less risky than STORE ELECTRONIC. It trades about 0.07 of its potential returns per unit of risk. STORE ELECTRONIC is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 12,751 in STORE ELECTRONIC on September 4, 2024 and sell it today you would earn a total of 1,329 from holding STORE ELECTRONIC or generate 10.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Banco Santander SA vs. STORE ELECTRONIC
Performance |
Timeline |
Banco Santander SA |
STORE ELECTRONIC |
Banco Santander and STORE ELECTRONIC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Banco Santander and STORE ELECTRONIC
The main advantage of trading using opposite Banco Santander and STORE ELECTRONIC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Banco Santander position performs unexpectedly, STORE ELECTRONIC 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 STORE ELECTRONIC will offset losses from the drop in STORE ELECTRONIC's long position.Banco Santander vs. Transport International Holdings | Banco Santander vs. MAVEN WIRELESS SWEDEN | Banco Santander vs. Broadcom | Banco Santander vs. Texas Roadhouse |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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