Correlation Between Webster Financial and Mizuho Financial
Can any of the company-specific risk be diversified away by investing in both Webster Financial and Mizuho 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 Webster Financial and Mizuho Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Webster Financial and Mizuho Financial Group, you can compare the effects of market volatilities on Webster Financial and Mizuho 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 Webster Financial with a short position of Mizuho Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Webster Financial and Mizuho Financial.
Diversification Opportunities for Webster Financial and Mizuho Financial
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Webster and Mizuho is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Webster Financial and Mizuho Financial Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mizuho Financial and Webster Financial 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 Webster Financial are associated (or correlated) with Mizuho Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mizuho Financial has no effect on the direction of Webster Financial i.e., Webster Financial and Mizuho Financial go up and down completely randomly.
Pair Corralation between Webster Financial and Mizuho Financial
Assuming the 90 days horizon Webster Financial is expected to generate 1.6 times more return on investment than Mizuho Financial. However, Webster Financial is 1.6 times more volatile than Mizuho Financial Group. It trades about 0.17 of its potential returns per unit of risk. Mizuho Financial Group is currently generating about 0.17 per unit of risk. If you would invest 4,225 in Webster Financial on September 3, 2024 and sell it today you would earn a total of 1,575 from holding Webster Financial or generate 37.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Webster Financial vs. Mizuho Financial Group
Performance |
Timeline |
Webster Financial |
Mizuho Financial |
Webster Financial and Mizuho Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Webster Financial and Mizuho Financial
The main advantage of trading using opposite Webster Financial and Mizuho Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Webster Financial position performs unexpectedly, Mizuho 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 Mizuho Financial will offset losses from the drop in Mizuho Financial's long position.Webster Financial vs. US Bancorp | Webster Financial vs. The PNC Financial | Webster Financial vs. Fifth Third Bancorp | Webster Financial vs. Regions Financial |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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