Correlation Between Asuransi Harta and Bank BRISyariah
Can any of the company-specific risk be diversified away by investing in both Asuransi Harta and Bank BRISyariah 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 Asuransi Harta and Bank BRISyariah into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Asuransi Harta Aman and Bank BRISyariah Tbk, you can compare the effects of market volatilities on Asuransi Harta and Bank BRISyariah 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 Asuransi Harta with a short position of Bank BRISyariah. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asuransi Harta and Bank BRISyariah.
Diversification Opportunities for Asuransi Harta and Bank BRISyariah
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between Asuransi and Bank is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Asuransi Harta Aman and Bank BRISyariah Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank BRISyariah Tbk and Asuransi Harta 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 Asuransi Harta Aman are associated (or correlated) with Bank BRISyariah. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank BRISyariah Tbk has no effect on the direction of Asuransi Harta i.e., Asuransi Harta and Bank BRISyariah go up and down completely randomly.
Pair Corralation between Asuransi Harta and Bank BRISyariah
Assuming the 90 days trading horizon Asuransi Harta Aman is expected to under-perform the Bank BRISyariah. But the stock apears to be less risky and, when comparing its historical volatility, Asuransi Harta Aman is 1.3 times less risky than Bank BRISyariah. The stock trades about -0.18 of its potential returns per unit of risk. The Bank BRISyariah Tbk is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 296,000 in Bank BRISyariah Tbk on August 31, 2024 and sell it today you would lose (5,000) from holding Bank BRISyariah Tbk or give up 1.69% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Asuransi Harta Aman vs. Bank BRISyariah Tbk
Performance |
| Timeline |
| Asuransi Harta Aman |
| Bank BRISyariah Tbk |
Asuransi Harta and Bank BRISyariah Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Asuransi Harta and Bank BRISyariah
The main advantage of trading using opposite Asuransi Harta and Bank BRISyariah positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asuransi Harta position performs unexpectedly, Bank BRISyariah 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 Bank BRISyariah will offset losses from the drop in Bank BRISyariah's long position.| Asuransi Harta vs. Asuransi Bintang Tbk | Asuransi Harta vs. Asuransi Bina Dana | Asuransi Harta vs. Asuransi Dayin Mitra | Asuransi Harta vs. Asuransi Jasa Tania |
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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 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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