Correlation Between Bank Rakyat and Peoples Insurance
Can any of the company-specific risk be diversified away by investing in both Bank Rakyat and Peoples Insurance 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 Peoples Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Rakyat and The Peoples Insurance, you can compare the effects of market volatilities on Bank Rakyat and Peoples Insurance 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 Peoples Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Rakyat and Peoples Insurance.
Diversification Opportunities for Bank Rakyat and Peoples Insurance
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Peoples is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding Bank Rakyat and The Peoples Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Peoples Insurance 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 Peoples Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Peoples Insurance has no effect on the direction of Bank Rakyat i.e., Bank Rakyat and Peoples Insurance go up and down completely randomly.
Pair Corralation between Bank Rakyat and Peoples Insurance
Assuming the 90 days horizon Bank Rakyat is expected to under-perform the Peoples Insurance. But the pink sheet apears to be less risky and, when comparing its historical volatility, Bank Rakyat is 2.98 times less risky than Peoples Insurance. The pink sheet trades about -0.19 of its potential returns per unit of risk. The The Peoples Insurance is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 29.00 in The Peoples Insurance on September 28, 2024 and sell it today you would earn a total of 7.00 from holding The Peoples Insurance or generate 24.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 90.91% |
Values | Daily Returns |
Bank Rakyat vs. The Peoples Insurance
Performance |
Timeline |
Bank Rakyat |
Peoples Insurance |
Bank Rakyat and Peoples Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Rakyat and Peoples Insurance
The main advantage of trading using opposite Bank Rakyat and Peoples Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Rakyat position performs unexpectedly, Peoples Insurance 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 Peoples Insurance will offset losses from the drop in Peoples Insurance's long position.Bank Rakyat vs. Banco Bradesco SA | Bank Rakyat vs. Itau Unibanco Banco | Bank Rakyat vs. Deutsche Bank AG | Bank Rakyat vs. Banco Santander Brasil |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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