Correlation Between Asuransi Harta and Bank Rakyat
Can any of the company-specific risk be diversified away by investing in both Asuransi Harta and Bank Rakyat 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 Rakyat 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 Rakyat Indonesia, you can compare the effects of market volatilities on Asuransi Harta and Bank Rakyat 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 Rakyat. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asuransi Harta and Bank Rakyat.
Diversification Opportunities for Asuransi Harta and Bank Rakyat
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Asuransi and Bank is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Asuransi Harta Aman and Bank Rakyat Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Rakyat Indonesia 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 Rakyat. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Rakyat Indonesia has no effect on the direction of Asuransi Harta i.e., Asuransi Harta and Bank Rakyat go up and down completely randomly.
Pair Corralation between Asuransi Harta and Bank Rakyat
Assuming the 90 days trading horizon Asuransi Harta Aman is expected to under-perform the Bank Rakyat. In addition to that, Asuransi Harta is 1.16 times more volatile than Bank Rakyat Indonesia. It trades about -0.2 of its total potential returns per unit of risk. Bank Rakyat Indonesia is currently generating about -0.18 per unit of volatility. If you would invest 517,500 in Bank Rakyat Indonesia on September 3, 2024 and sell it today you would lose (91,500) from holding Bank Rakyat Indonesia or give up 17.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Asuransi Harta Aman vs. Bank Rakyat Indonesia
Performance |
Timeline |
Asuransi Harta Aman |
Bank Rakyat Indonesia |
Asuransi Harta and Bank Rakyat Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asuransi Harta and Bank Rakyat
The main advantage of trading using opposite Asuransi Harta and Bank Rakyat positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asuransi Harta position performs unexpectedly, Bank Rakyat 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 Rakyat will offset losses from the drop in Bank Rakyat'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 |
Bank Rakyat vs. Paninvest Tbk | Bank Rakyat vs. Mitra Pinasthika Mustika | Bank Rakyat vs. Jakarta Int Hotels | Bank Rakyat vs. Asuransi Harta Aman |
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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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