Correlation Between BANKINTER ADR and Webster Financial
Can any of the company-specific risk be diversified away by investing in both BANKINTER ADR and Webster Financial 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 BANKINTER ADR and Webster Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BANKINTER ADR 2007 and Webster Financial, you can compare the effects of market volatilities on BANKINTER ADR and Webster Financial 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 BANKINTER ADR with a short position of Webster Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of BANKINTER ADR and Webster Financial.
Diversification Opportunities for BANKINTER ADR and Webster Financial
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between BANKINTER and Webster is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding BANKINTER ADR 2007 and Webster Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Webster Financial and BANKINTER ADR 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 BANKINTER ADR 2007 are associated (or correlated) with Webster Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Webster Financial has no effect on the direction of BANKINTER ADR i.e., BANKINTER ADR and Webster Financial go up and down completely randomly.
Pair Corralation between BANKINTER ADR and Webster Financial
Assuming the 90 days horizon BANKINTER ADR is expected to generate 1.73 times less return on investment than Webster Financial. But when comparing it to its historical volatility, BANKINTER ADR 2007 is 1.78 times less risky than Webster Financial. It trades about 0.2 of its potential returns per unit of risk. Webster Financial is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 3,829 in Webster Financial on April 22, 2025 and sell it today you would earn a total of 1,321 from holding Webster Financial or generate 34.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
BANKINTER ADR 2007 vs. Webster Financial
Performance |
Timeline |
BANKINTER ADR 2007 |
Webster Financial |
BANKINTER ADR and Webster Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BANKINTER ADR and Webster Financial
The main advantage of trading using opposite BANKINTER ADR and Webster Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BANKINTER ADR position performs unexpectedly, Webster Financial 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 Webster Financial will offset losses from the drop in Webster Financial's long position.BANKINTER ADR vs. DATAWALK B H ZY | BANKINTER ADR vs. TERADATA | BANKINTER ADR vs. Cass Information Systems | BANKINTER ADR vs. Teradata Corp |
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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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