Correlation Between Aozora Bank and PT Bank
Can any of the company-specific risk be diversified away by investing in both Aozora Bank and PT Bank 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 Aozora Bank and PT Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aozora Bank Ltd and PT Bank Rakyat, you can compare the effects of market volatilities on Aozora Bank and PT Bank 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 Aozora Bank with a short position of PT Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aozora Bank and PT Bank.
Diversification Opportunities for Aozora Bank and PT Bank
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Aozora and BKRKF is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Aozora Bank Ltd and PT Bank Rakyat in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Bank Rakyat and Aozora 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 Aozora Bank Ltd are associated (or correlated) with PT Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Bank Rakyat has no effect on the direction of Aozora Bank i.e., Aozora Bank and PT Bank go up and down completely randomly.
Pair Corralation between Aozora Bank and PT Bank
Assuming the 90 days horizon Aozora Bank Ltd is expected to under-perform the PT Bank. But the pink sheet apears to be less risky and, when comparing its historical volatility, Aozora Bank Ltd is 10.03 times less risky than PT Bank. The pink sheet trades about -0.13 of its potential returns per unit of risk. The PT Bank Rakyat is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 22.00 in PT Bank Rakyat on December 2, 2024 and sell it today you would earn a total of 2.00 from holding PT Bank Rakyat or generate 9.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Aozora Bank Ltd vs. PT Bank Rakyat
Performance |
Timeline |
Aozora Bank |
PT Bank Rakyat |
Aozora Bank and PT Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aozora Bank and PT Bank
The main advantage of trading using opposite Aozora Bank and PT Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aozora Bank position performs unexpectedly, PT Bank 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 PT Bank will offset losses from the drop in PT Bank's long position.The idea behind Aozora Bank Ltd and PT Bank Rakyat 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.PT Bank vs. HDFC Bank Limited | PT Bank vs. China Merchants Bank | PT Bank vs. China Merchants Bank | PT Bank vs. Fifth Third Bancorp |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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