Correlation Between ST Bancorp and Waterstone Financial
Can any of the company-specific risk be diversified away by investing in both ST Bancorp and Waterstone 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 ST Bancorp and Waterstone Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ST Bancorp and Waterstone Financial, you can compare the effects of market volatilities on ST Bancorp and Waterstone 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 ST Bancorp with a short position of Waterstone Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of ST Bancorp and Waterstone Financial.
Diversification Opportunities for ST Bancorp and Waterstone Financial
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between STBA and Waterstone is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding ST Bancorp and Waterstone Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Waterstone Financial and ST Bancorp 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 ST Bancorp are associated (or correlated) with Waterstone Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Waterstone Financial has no effect on the direction of ST Bancorp i.e., ST Bancorp and Waterstone Financial go up and down completely randomly.
Pair Corralation between ST Bancorp and Waterstone Financial
Given the investment horizon of 90 days ST Bancorp is expected to generate 1.29 times less return on investment than Waterstone Financial. But when comparing it to its historical volatility, ST Bancorp is 1.3 times less risky than Waterstone Financial. It trades about 0.09 of its potential returns per unit of risk. Waterstone Financial is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 1,312 in Waterstone Financial on November 30, 2024 and sell it today you would earn a total of 95.00 from holding Waterstone Financial or generate 7.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
ST Bancorp vs. Waterstone Financial
Performance |
Timeline |
ST Bancorp |
Waterstone Financial |
ST Bancorp and Waterstone Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ST Bancorp and Waterstone Financial
The main advantage of trading using opposite ST Bancorp and Waterstone Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ST Bancorp position performs unexpectedly, Waterstone 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 Waterstone Financial will offset losses from the drop in Waterstone Financial's long position.ST Bancorp vs. CrossFirst Bankshares | ST Bancorp vs. Enterprise Financial Services | ST Bancorp vs. The First Bancshares, | ST Bancorp vs. First Bancorp |
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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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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