Correlation Between PT Bank and Fuse Medical
Can any of the company-specific risk be diversified away by investing in both PT Bank and Fuse Medical 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 Fuse Medical 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 Fuse Medical, you can compare the effects of market volatilities on PT Bank and Fuse Medical 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 Fuse Medical. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Bank and Fuse Medical.
Diversification Opportunities for PT Bank and Fuse Medical
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between BKRKF and Fuse is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding PT Bank Rakyat and Fuse Medical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fuse Medical 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 Fuse Medical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fuse Medical has no effect on the direction of PT Bank i.e., PT Bank and Fuse Medical go up and down completely randomly.
Pair Corralation between PT Bank and Fuse Medical
Assuming the 90 days horizon PT Bank Rakyat is expected to under-perform the Fuse Medical. But the pink sheet apears to be less risky and, when comparing its historical volatility, PT Bank Rakyat is 4.38 times less risky than Fuse Medical. The pink sheet trades about 0.0 of its potential returns per unit of risk. The Fuse Medical is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 12.00 in Fuse Medical on September 20, 2024 and sell it today you would earn a total of 0.00 from holding Fuse Medical or generate 0.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 99.47% |
| Values | Daily Returns |
PT Bank Rakyat vs. Fuse Medical
Performance |
| Timeline |
| PT Bank Rakyat |
| Fuse Medical |
PT Bank and Fuse Medical Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with PT Bank and Fuse Medical
The main advantage of trading using opposite PT Bank and Fuse Medical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Bank position performs unexpectedly, Fuse Medical 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 Fuse Medical will offset losses from the drop in Fuse Medical'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 |
| Fuse Medical vs. Vivos Therapeutics | Fuse Medical vs. Cerus | Fuse Medical vs. Boston Scientific Corp | Fuse Medical vs. Novacyt SA |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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