Correlation Between Magyar Bancorp and Bangkok Bank
Can any of the company-specific risk be diversified away by investing in both Magyar Bancorp and Bangkok Bank 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 Bangkok Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Magyar Bancorp and Bangkok Bank PCL, you can compare the effects of market volatilities on Magyar Bancorp and Bangkok Bank 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 Bangkok Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Magyar Bancorp and Bangkok Bank.
Diversification Opportunities for Magyar Bancorp and Bangkok Bank
-0.22 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Magyar and Bangkok is -0.22. Overlapping area represents the amount of risk that can be diversified away by holding Magyar Bancorp and Bangkok Bank PCL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bangkok Bank PCL 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 Bangkok Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bangkok Bank PCL has no effect on the direction of Magyar Bancorp i.e., Magyar Bancorp and Bangkok Bank go up and down completely randomly.
Pair Corralation between Magyar Bancorp and Bangkok Bank
Given the investment horizon of 90 days Magyar Bancorp is expected to generate 1.43 times less return on investment than Bangkok Bank. But when comparing it to its historical volatility, Magyar Bancorp is 5.43 times less risky than Bangkok Bank. It trades about 0.25 of its potential returns per unit of risk. Bangkok Bank PCL is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 2,030 in Bangkok Bank PCL on September 2, 2024 and sell it today you would earn a total of 280.00 from holding Bangkok Bank PCL or generate 13.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Magyar Bancorp vs. Bangkok Bank PCL
Performance |
Timeline |
Magyar Bancorp |
Bangkok Bank PCL |
Magyar Bancorp and Bangkok Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Magyar Bancorp and Bangkok Bank
The main advantage of trading using opposite Magyar Bancorp and Bangkok Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Magyar Bancorp position performs unexpectedly, Bangkok Bank 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 Bangkok Bank will offset losses from the drop in Bangkok Bank'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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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