Correlation Between Citizens Bancorp and Magyar Bancorp
Can any of the company-specific risk be diversified away by investing in both Citizens Bancorp and Magyar Bancorp 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 Citizens Bancorp and Magyar Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citizens Bancorp Investment and Magyar Bancorp, you can compare the effects of market volatilities on Citizens Bancorp and Magyar Bancorp 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 Citizens Bancorp with a short position of Magyar Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citizens Bancorp and Magyar Bancorp.
Diversification Opportunities for Citizens Bancorp and Magyar Bancorp
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Citizens and Magyar is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Citizens Bancorp Investment and Magyar Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Magyar Bancorp and Citizens 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 Citizens Bancorp Investment are associated (or correlated) with Magyar Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Magyar Bancorp has no effect on the direction of Citizens Bancorp i.e., Citizens Bancorp and Magyar Bancorp go up and down completely randomly.
Pair Corralation between Citizens Bancorp and Magyar Bancorp
Given the investment horizon of 90 days Citizens Bancorp is expected to generate 1.91 times less return on investment than Magyar Bancorp. In addition to that, Citizens Bancorp is 1.27 times more volatile than Magyar Bancorp. It trades about 0.07 of its total potential returns per unit of risk. Magyar Bancorp is currently generating about 0.18 per unit of volatility. If you would invest 1,217 in Magyar Bancorp on September 12, 2024 and sell it today you would earn a total of 198.00 from holding Magyar Bancorp or generate 16.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Citizens Bancorp Investment vs. Magyar Bancorp
Performance |
Timeline |
Citizens Bancorp Inv |
Magyar Bancorp |
Citizens Bancorp and Magyar Bancorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Citizens Bancorp and Magyar Bancorp
The main advantage of trading using opposite Citizens Bancorp and Magyar Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citizens Bancorp position performs unexpectedly, Magyar Bancorp 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 Magyar Bancorp will offset losses from the drop in Magyar Bancorp's long position.Citizens Bancorp vs. PT Bank Rakyat | Citizens Bancorp vs. Morningstar Unconstrained Allocation | Citizens Bancorp vs. Bondbloxx ETF Trust | Citizens Bancorp vs. Spring Valley Acquisition |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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