Correlation Between Santander Bank and Logintrade
Can any of the company-specific risk be diversified away by investing in both Santander Bank and Logintrade 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 Logintrade 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 Logintrade SA, you can compare the effects of market volatilities on Santander Bank and Logintrade 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 Logintrade. Check out your portfolio center. Please also check ongoing floating volatility patterns of Santander Bank and Logintrade.
Diversification Opportunities for Santander Bank and Logintrade
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Santander and Logintrade is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding Santander Bank Polska and Logintrade SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Logintrade SA 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 Logintrade. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Logintrade SA has no effect on the direction of Santander Bank i.e., Santander Bank and Logintrade go up and down completely randomly.
Pair Corralation between Santander Bank and Logintrade
Assuming the 90 days trading horizon Santander Bank is expected to generate 15.11 times less return on investment than Logintrade. But when comparing it to its historical volatility, Santander Bank Polska is 1.91 times less risky than Logintrade. It trades about 0.03 of its potential returns per unit of risk. Logintrade SA is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest 268.00 in Logintrade SA on September 15, 2024 and sell it today you would earn a total of 100.00 from holding Logintrade SA or generate 37.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 63.49% |
Values | Daily Returns |
Santander Bank Polska vs. Logintrade SA
Performance |
Timeline |
Santander Bank Polska |
Logintrade SA |
Santander Bank and Logintrade Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Santander Bank and Logintrade
The main advantage of trading using opposite Santander Bank and Logintrade positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Santander Bank position performs unexpectedly, Logintrade 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 Logintrade will offset losses from the drop in Logintrade's long position.Santander Bank vs. UniCredit SpA | Santander Bank vs. Bank Polska Kasa | Santander Bank vs. ING Bank lski | Santander Bank vs. Bank Handlowy w |
Logintrade vs. Santander Bank Polska | Logintrade vs. Mlk Foods Public | Logintrade vs. Centrum Finansowe Banku | Logintrade vs. Road Studio SA |
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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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