Correlation Between Magyar Bancorp and Old Point
Can any of the company-specific risk be diversified away by investing in both Magyar Bancorp and Old Point 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 Magyar Bancorp and Old Point into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Magyar Bancorp and Old Point Financial, you can compare the effects of market volatilities on Magyar Bancorp and Old Point 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 Magyar Bancorp with a short position of Old Point. Check out your portfolio center. Please also check ongoing floating volatility patterns of Magyar Bancorp and Old Point.
Diversification Opportunities for Magyar Bancorp and Old Point
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Magyar and Old is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Magyar Bancorp and Old Point Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Old Point Financial and Magyar 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 Magyar Bancorp are associated (or correlated) with Old Point. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Old Point Financial has no effect on the direction of Magyar Bancorp i.e., Magyar Bancorp and Old Point go up and down completely randomly.
Pair Corralation between Magyar Bancorp and Old Point
Given the investment horizon of 90 days Magyar Bancorp is expected to generate 1.94 times less return on investment than Old Point. But when comparing it to its historical volatility, Magyar Bancorp is 1.05 times less risky than Old Point. It trades about 0.21 of its potential returns per unit of risk. Old Point Financial is currently generating about 0.39 of returns per unit of risk over similar time horizon. If you would invest 2,029 in Old Point Financial on September 21, 2024 and sell it today you would earn a total of 459.00 from holding Old Point Financial or generate 22.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Magyar Bancorp vs. Old Point Financial
Performance |
Timeline |
Magyar Bancorp |
Old Point Financial |
Magyar Bancorp and Old Point Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Magyar Bancorp and Old Point
The main advantage of trading using opposite Magyar Bancorp and Old Point positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Magyar Bancorp position performs unexpectedly, Old Point 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 Old Point will offset losses from the drop in Old Point's long position.Magyar Bancorp vs. Home Federal Bancorp | Magyar Bancorp vs. Community West Bancshares | Magyar Bancorp vs. First Financial Northwest | Magyar Bancorp vs. First Northwest 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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
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