Correlation Between Asuransi Harta and Bank Bukopin
Can any of the company-specific risk be diversified away by investing in both Asuransi Harta and Bank Bukopin 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 Bukopin 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 Bukopin Tbk, you can compare the effects of market volatilities on Asuransi Harta and Bank Bukopin 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 Bukopin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asuransi Harta and Bank Bukopin.
Diversification Opportunities for Asuransi Harta and Bank Bukopin
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Asuransi and Bank is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Asuransi Harta Aman and Bank Bukopin Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Bukopin 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 Bukopin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Bukopin Tbk has no effect on the direction of Asuransi Harta i.e., Asuransi Harta and Bank Bukopin go up and down completely randomly.
Pair Corralation between Asuransi Harta and Bank Bukopin
Assuming the 90 days trading horizon Asuransi Harta Aman is expected to under-perform the Bank Bukopin. In addition to that, Asuransi Harta is 1.78 times more volatile than Bank Bukopin Tbk. It trades about -0.15 of its total potential returns per unit of risk. Bank Bukopin Tbk is currently generating about -0.08 per unit of volatility. If you would invest 5,400 in Bank Bukopin Tbk on December 30, 2024 and sell it today you would lose (400.00) from holding Bank Bukopin Tbk or give up 7.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Asuransi Harta Aman vs. Bank Bukopin Tbk
Performance |
Timeline |
Asuransi Harta Aman |
Bank Bukopin Tbk |
Asuransi Harta and Bank Bukopin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asuransi Harta and Bank Bukopin
The main advantage of trading using opposite Asuransi Harta and Bank Bukopin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asuransi Harta position performs unexpectedly, Bank Bukopin 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 Bukopin will offset losses from the drop in Bank Bukopin'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 Bukopin vs. Bank Danamon Indonesia | Bank Bukopin vs. Bank Cimb Niaga | Bank Bukopin vs. Bank Tabungan Negara | Bank Bukopin vs. Bank Jabar |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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