Correlation Between PT Bank and Bowmo
Can any of the company-specific risk be diversified away by investing in both PT Bank and Bowmo 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 Bowmo 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 Bowmo Inc, you can compare the effects of market volatilities on PT Bank and Bowmo 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 Bowmo. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Bank and Bowmo.
Diversification Opportunities for PT Bank and Bowmo
Excellent diversification
The 3 months correlation between BKRKF and Bowmo is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding PT Bank Rakyat and Bowmo Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bowmo Inc 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 Bowmo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bowmo Inc has no effect on the direction of PT Bank i.e., PT Bank and Bowmo go up and down completely randomly.
Pair Corralation between PT Bank and Bowmo
Assuming the 90 days horizon PT Bank Rakyat is expected to under-perform the Bowmo. But the pink sheet apears to be less risky and, when comparing its historical volatility, PT Bank Rakyat is 7.45 times less risky than Bowmo. The pink sheet trades about -0.08 of its potential returns per unit of risk. The Bowmo Inc is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 0.28 in Bowmo Inc on August 24, 2024 and sell it today you would earn a total of 0.22 from holding Bowmo Inc or generate 78.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PT Bank Rakyat vs. Bowmo Inc
Performance |
Timeline |
PT Bank Rakyat |
Bowmo Inc |
PT Bank and Bowmo Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Bank and Bowmo
The main advantage of trading using opposite PT Bank and Bowmo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Bank position performs unexpectedly, Bowmo 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 Bowmo will offset losses from the drop in Bowmo's long position.The idea behind PT Bank Rakyat and Bowmo Inc pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Bowmo vs. Harrison Vickers and | Bowmo vs. Protext Mobility | Bowmo vs. TonnerOne World Holdings | Bowmo vs. Trans Global Grp |
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 Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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