Correlation Between Bank BRISyariah and PT Techno9
Can any of the company-specific risk be diversified away by investing in both Bank BRISyariah and PT Techno9 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 BRISyariah and PT Techno9 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank BRISyariah Tbk and PT Techno9 Indonesia, you can compare the effects of market volatilities on Bank BRISyariah and PT Techno9 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 BRISyariah with a short position of PT Techno9. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank BRISyariah and PT Techno9.
Diversification Opportunities for Bank BRISyariah and PT Techno9
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between Bank and NINE is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding Bank BRISyariah Tbk and PT Techno9 Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Techno9 Indonesia and Bank BRISyariah 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 BRISyariah Tbk are associated (or correlated) with PT Techno9. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Techno9 Indonesia has no effect on the direction of Bank BRISyariah i.e., Bank BRISyariah and PT Techno9 go up and down completely randomly.
Pair Corralation between Bank BRISyariah and PT Techno9
Assuming the 90 days trading horizon Bank BRISyariah is expected to generate 2.2 times less return on investment than PT Techno9. But when comparing it to its historical volatility, Bank BRISyariah Tbk is 3.31 times less risky than PT Techno9. It trades about 0.08 of its potential returns per unit of risk. PT Techno9 Indonesia is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 2,900 in PT Techno9 Indonesia on September 2, 2024 and sell it today you would earn a total of 1,300 from holding PT Techno9 Indonesia or generate 44.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank BRISyariah Tbk vs. PT Techno9 Indonesia
Performance |
Timeline |
Bank BRISyariah Tbk |
PT Techno9 Indonesia |
Bank BRISyariah and PT Techno9 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank BRISyariah and PT Techno9
The main advantage of trading using opposite Bank BRISyariah and PT Techno9 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank BRISyariah position performs unexpectedly, PT Techno9 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 Techno9 will offset losses from the drop in PT Techno9's long position.Bank BRISyariah vs. Ace Hardware Indonesia | Bank BRISyariah vs. Merdeka Copper Gold | Bank BRISyariah vs. Mitra Pinasthika Mustika | Bank BRISyariah vs. Jakarta Int Hotels |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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