Correlation Between PT Bank and Eastern Michigan
Can any of the company-specific risk be diversified away by investing in both PT Bank and Eastern Michigan 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 PT Bank and Eastern Michigan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Bank Rakyat and Eastern Michigan Financial, you can compare the effects of market volatilities on PT Bank and Eastern Michigan 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 PT Bank with a short position of Eastern Michigan. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Bank and Eastern Michigan.
Diversification Opportunities for PT Bank and Eastern Michigan
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between BKRKF and Eastern is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding PT Bank Rakyat and Eastern Michigan Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eastern Michigan Fin and PT Bank 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 PT Bank Rakyat are associated (or correlated) with Eastern Michigan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eastern Michigan Fin has no effect on the direction of PT Bank i.e., PT Bank and Eastern Michigan go up and down completely randomly.
Pair Corralation between PT Bank and Eastern Michigan
Assuming the 90 days horizon PT Bank Rakyat is expected to generate 6.23 times more return on investment than Eastern Michigan. However, PT Bank is 6.23 times more volatile than Eastern Michigan Financial. It trades about 0.06 of its potential returns per unit of risk. Eastern Michigan Financial is currently generating about -0.05 per unit of risk. If you would invest 28.00 in PT Bank Rakyat on September 12, 2024 and sell it today you would earn a total of 1.00 from holding PT Bank Rakyat or generate 3.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 95.45% |
Values | Daily Returns |
PT Bank Rakyat vs. Eastern Michigan Financial
Performance |
Timeline |
PT Bank Rakyat |
Eastern Michigan Fin |
PT Bank and Eastern Michigan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Bank and Eastern Michigan
The main advantage of trading using opposite PT Bank and Eastern Michigan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Bank position performs unexpectedly, Eastern Michigan 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 Eastern Michigan will offset losses from the drop in Eastern Michigan's long position.PT Bank vs. Morningstar Unconstrained Allocation | PT Bank vs. Bondbloxx ETF Trust | PT Bank vs. Spring Valley Acquisition | PT Bank vs. Bondbloxx ETF Trust |
Eastern Michigan vs. PT Bank Rakyat | Eastern Michigan vs. Morningstar Unconstrained Allocation | Eastern Michigan vs. Bondbloxx ETF Trust | Eastern Michigan vs. Spring Valley Acquisition |
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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
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