Correlation Between Bank Rakyat and Digital Transformation
Can any of the company-specific risk be diversified away by investing in both Bank Rakyat and Digital Transformation 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 Bank Rakyat and Digital Transformation into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Rakyat and Digital Transformation Opportunities, you can compare the effects of market volatilities on Bank Rakyat and Digital Transformation 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 Bank Rakyat with a short position of Digital Transformation. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Rakyat and Digital Transformation.
Diversification Opportunities for Bank Rakyat and Digital Transformation
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Digital is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Bank Rakyat and Digital Transformation Opportu in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Digital Transformation and Bank Rakyat 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 Bank Rakyat are associated (or correlated) with Digital Transformation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Digital Transformation has no effect on the direction of Bank Rakyat i.e., Bank Rakyat and Digital Transformation go up and down completely randomly.
Pair Corralation between Bank Rakyat and Digital Transformation
Assuming the 90 days horizon Bank Rakyat is expected to under-perform the Digital Transformation. In addition to that, Bank Rakyat is 1.2 times more volatile than Digital Transformation Opportunities. It trades about -0.01 of its total potential returns per unit of risk. Digital Transformation Opportunities is currently generating about 0.02 per unit of volatility. If you would invest 1,004 in Digital Transformation Opportunities on September 20, 2024 and sell it today you would earn a total of 32.00 from holding Digital Transformation Opportunities or generate 3.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 27.88% |
Values | Daily Returns |
Bank Rakyat vs. Digital Transformation Opportu
Performance |
Timeline |
Bank Rakyat |
Digital Transformation |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Bank Rakyat and Digital Transformation Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Rakyat and Digital Transformation
The main advantage of trading using opposite Bank Rakyat and Digital Transformation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Rakyat position performs unexpectedly, Digital Transformation 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 Digital Transformation will offset losses from the drop in Digital Transformation's long position.Bank Rakyat vs. Morningstar Unconstrained Allocation | Bank Rakyat vs. Bondbloxx ETF Trust | Bank Rakyat vs. Spring Valley Acquisition | Bank Rakyat vs. Bondbloxx ETF Trust |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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